Accepted Manuscript Optimization of a building integrated solar thermal system with seasonal storage using TRNSYS Christodoulos N. Antoniadis, Georgios Martinopoulos PII:
S0960-1481(18)30385-9
DOI:
10.1016/j.renene.2018.03.074
Reference:
RENE 9943
To appear in:
Renewable Energy
Received Date: 16 July 2017 Revised Date:
5 March 2018
Accepted Date: 27 March 2018
Please cite this article as: Antoniadis CN, Martinopoulos G, Optimization of a building integrated solar thermal system with seasonal storage using TRNSYS, Renewable Energy (2018), doi: 10.1016/ j.renene.2018.03.074. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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Optimization of a Building Integrated Solar Thermal System with Seasonal
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Storage using TRNSYS
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Christodoulos N. Antoniadis, Georgios Martinopoulos*
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International Hellenic University, School of Science and Technology, 14th km Thessaloniki –
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Moudania, EL 570 01, Thermi – Thessaloniki, Greece, Tel: +302310807533
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*Corresponding Author: Georgios Martinopoulos
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ABSTRACT
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In the current work a building integrated solar thermal system with seasonal storage is
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optimized with the use of TRNSYS modeling software in order to evaluate different
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integration options of the solar collector array. The model calculates the space heating
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needs during the heating period as well as the annual domestic hot-water needs of a typical
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single-family detached home in the city of Thessaloniki, Greece that has been built according
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to the latest building code. The contribution of the solar system and the thermal load
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covered by the auxiliary conventional system are determined, for both space heating and
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domestic hot water, considering the respective simulation periods. The relative solar
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fractions as well as the combined annual solar fraction are also calculated. A parametric
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analysis on the impact of various solar collector areas and types, building integration type, as
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well as the volume of the seasonal storage tank is also presented in order to optimize system
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design and obtain a seasonal combined solar fraction of at least 39%.
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Words: 5358
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Keywords: Solar thermal energy, solar collectors, TRNSYS, seasonal storage
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1. Introduction The building sector represents one of the biggest energy consumers in the European
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Union (EU), accounting for more than 40% of the final energy consumption (European
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Environment Agency, 2010). To address this issue, the EU implemented a series of directives
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that promote the exploitation of energy alternatives for buildings, used primarily for
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electricity, heating, cooling and the provision of hot water, that led to Directive 2010/31/EC
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(European Commission, 2010) which defined minimum rules on the performance of buildings
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and introduced energy certificates, taking into account the external climatic conditions and
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defining the Net Zero Energy Building (NZEB). These actions have led to a decrease in the
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final consumption of the residential sector from 316.7 Mtoe in 2000 to 287.1 Mtoe in 2014
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(ODYSSEE, 2016). The noticed improvement in energy efficiency was a result of better
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thermal performance of buildings, more efficient electric appliances (air conditioning) and
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heating systems (condensing boilers and heat pumps). Still, part of this improvement was
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counteracted by a growing number of electric appliances, larger homes and the dispersion of
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central heating, which led to an escalation in the average consumption per dwelling by 0.4%
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per annum, compensating 60% of the energy-efficiency development reached through
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technological modernization (European Environment Agency, 2016).
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Of the various renewable-energy systems that can be installed in the building sector in
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order to cover energy requirements (electrical and thermal loads), solar-energy systems are
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currently the most widely used, mainly in the form of solar thermal and photovoltaic
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systems. Especially for the southern countries of the EU, with their high annual solar
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radiation and temperatures, solar-energy systems are already a viable alternative to fossil
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energy systems and are expected to become even more efficient and cost-competitive in the
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future (ECOFYS, 2013). Most EU countries throughout the region enjoy high numbers of new 2
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installations annually both in the form of Domestic Solar Hot Water Systems (DSHWS) and of
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grid-connected photovoltaic systems, while the biggest potential is expected for renewable
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combi systems that generate heat for space heating purposes in winter times, cooling
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through air-conditioning systems in summer and domestic hot water throughout the year. In Greece, solar-energy systems enjoy very high penetration rates both in the form of solar
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thermal systems as well as in the form of photovoltaic. DSHWS are a mature technology,
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boasting an installed capacity of 4.4 million m² (3000 MWth) at the end of 2015, placing
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Greece third in the per capita installed capacity in the EU (ESTIF, 2016). The development of
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the total installed solar thermal capacity in Greece during the last 16 years is presented in
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figure 1.
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Although solar thermal systems are a mature technology, up to now most systems were
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not integrated into the buildings but were installed in available areas with the notion of
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function over form. Nowadays, architectural integration is a major issue for the development
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and spreading of solar thermal technologies, especially considering the necessity of their use
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as a step towards net zero energy buildings. Two options are available, façade and roof
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integration, although still the architectural quality of most existing building integrated solar
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thermal (BIST) systems is considered low (Probst and Rocker, 2007). On the other hand a
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number of researchers argue that economic and educational issues should be addressed
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towards the deeper penetration of the BIST technology into the market, especially for the
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façade integrated solar thermal systems (Capel et al, 2014).
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Environmental evaluation of building integrated flat plate and vacuum tube collectors, by
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conducting a life cycle assessment comparing the two systems, highlighted the considerably
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better environmental behavior of the vacuum tube configuration compared to the flat plate
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one (Lamnatou et al, 2015). 3
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investigated along with solar thermal systems in order to improve the performance of
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domestic hot water and space heating applications, like an energy storage unit containing
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phase change material linked to a solar powered heat pump system used for space heating
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(Essen, 2000), or the possibility of architectural fusion of thermal energy storage systems in
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buildings (Navarro et al, 2016).
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However, the main obstacle towards the further diffusion of solar thermal systems for
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space heating applications is the fact that solar potential is low during the heating period. To
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overcome this issue long-term energy storage is necessary. The main difference between
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seasonal and short-term storage systems is located on their size, with the first to be much
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greater than the second (Brown et al, 1981). More specifically, it has been evaluated that
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storage capacity per unit of collector area should be 100 – 1000 times greater for seasonal
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storage than for diurnal storage (Duffie and Beckman, 2013).
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There are three different mechanisms for energy storage, which can therefore be
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considered for seasonal storage of solar thermal energy as well. These concepts include
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sensible heat storage, latent heat storage and chemical reaction/thermo-chemical heat
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storage (Novo et al, 2010). About residential scale thermal storage applications, and
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particularly those currently used in practice, most of them store energy in the form of
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sensible heat, while latent and chemical methods are considered promising but not mature
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enough yet (Schmidt et al, 2004).
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The sensible heat storage method concerns the storage of heat as internal energy in the
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form of the temperature increase of a selected material, generally a liquid or solid, which is
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used as the storage medium. The specific heat of the medium used, as well as the
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temperature increase determines the amount of sensible heat that is stored. High specific 4
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thermal capacity evaluation. The rate of absorbing or releasing heat is another important
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requirement, depending each time on the specific heat storage application. In addition, the
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temperature range over which the system operates can also influence the medium choice.
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Of course, apart from its thermal capabilities, cost and space availability are additional issues
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that should be considered, especially for residential scale seasonal storage. For all the above
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reasons water, rock materials (gravel, pebbles) and soil/ground have been typically used as
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storage media for solar seasonal storage systems in residential applications (Pinel et al,
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2011).
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A number of researchers have investigated Seasonal Solar Thermal Energy Storage (SSTES)
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systems through TRNSYS modeling in the past. Terziotti et al (2012) studied such a system,
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modeled for a 15700 m2 student housing building in Virginia. Flat solar collectors of 1930 m2
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were used, providing heat to the storage bed, which contained sand as the storage medium.
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Four different bed sizes were considered, with volumes ranging from 5005 to 9295 m3.
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Simulations regarding the fifth year of operation, when the system was considered to have
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reached equilibrium, showed that up to 91% of the total energy needs can be provided by
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the SSTES system in the best-case scenario.
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Sweet et al (2012) modeled a SSTES system for a single-family dwelling in Richmond,
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Virginia, investigated for different-sized floor areas, ranging from 74 to 223 m2. A theoretical
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flat plate collector was used for the model, covering 39 to 99 m2 of the total roof area,
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depending on the varying house floor area. Sand was used as the storage medium in an
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underground storage bed, in order to provide better insulation conditions. Five-year
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simulations were run to ensure that the system reached a steady state. Results showed that
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the utilization of SSTES could reduce auxiliary heat demand requirements by 64% to 77%
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compared to models without SSTES. Li et al (2014) simulated the performance of a solar thermal heat pump system combined
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with seasonal energy storage, modeled for a 2252 m2 six-story dorm building in Beijing.
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Water was used as the storage medium, both for the 105 m3 seasonal storage tank and the
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9.6 m3 domestic hot-water tank. The operation of the system was simulated for a single-year
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period, and the outcomes showed that the monthly energy-saving ratio reached 52% when
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compared to a traditional space heating system. Regarding the domestic hot water, the
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monthly average solar fraction reached 68%.
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McDowell et al (2008) used TRNSYS software to simulate the performance of the Drake
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Landing Solar Community (DLSC) project in Alberta, Canada. The DLSC includes a 52-single-
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family house subdivision, where space and water heating are supplied by a system consisting
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of 800 flat plate solar collectors, two short-term thermal storage tanks, the Borehole
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Thermal Energy Storage (BTES) system for seasonal energy storage and the district heating
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supply system. Totally 144 boreholes connected in series were drilled at a depth of
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approximately 35 meters to create the BTES. By using fifty years of historical weather data,
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the simulation model predicted that the system will provide an annual solar fraction of 90%
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after five years of operation.
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Sibbitt et al (2012) monitored the performance of the DLSC Seasonal Solar Thermal Energy
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Storage system, providing measurements of five years and comparing these results against
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the TRNSYS simulation predictions for the same period. Because of the gradual charging of
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the BTES system, the monitored performance was observed to increase every year, resulting
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in a solar thermal contribution of 97% in the fifth year. Regarding the simulation model, it
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was presented that for the 5-year period, solar fraction was expected to increase up to 89%
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over the period. Lundh et al (2008) simulated the performance of an actual seasonal ground storage
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system of solar heat, constructed to provide low temperature space heating to a residential
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area with a 550 MWh total heat demand in Anneberg, Sweden. The storage system included
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60000 m3 of crystalline rock with 100 boreholes drilled at a depth of 65 m, while flat plate
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solar collectors were installed with a total area of 2400 m2. The TRNSYS simulation resulted
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in an average solar fraction of about 70% after five years of operation.
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Antoniadis and Martinopoulos (2017) used TRNSYS to model a water-based SSTES system,
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applied for a 120 m2 flat rooftop detached house in the city of Thessaloniki, Greece. Flat
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plate solar collectors of 30 m2 and a stratified seasonal storage water tank of 36 m3 were
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considered. The operation of the designed system was examined for two consecutive years,
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in order for the storage tank to be fully charged for the heating period. During the second
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year of the simulation, it was found that the system could cover more than the half of the
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space heating load requirement.
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Although a number of researchers have dealt with SSTES, there has been limited work on
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optimizing these systems while on the same time trying to find the optimum building
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integration strategies for the solar collector array. To that end, in the present work, TRNSYS
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modeling software is used to simulate and optimize a building integrated solar thermal
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system with seasonal thermal energy storage (STES).
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The model calculates the space heating and domestic hot water needs of a typical 120 m²
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single-family detached home in the city of Thessaloniki, Greece that has been built according
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to the latest building code. The contribution of the solar system, as well as the thermal load
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covered by the auxiliary conventional system is determined, and the seasonal solar fraction 7
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building integration type, as well as the volume of the seasonal thermal energy storage is
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also presented in order to optimize system design. The combined annual solar fraction in all
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cases ranges from 39 and up to 67%.
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2. Building Topology and Solar System Description
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The residential sector was responsible for 29.4% of the total final energy consumption in
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Greece in 2012. According to a recent survey, every household throughout the country
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consumes, on average, 14 MWh in order to cover its needs. Thermal needs (for space
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heating and hot-water production) account for 73%, while the remaining 27% is needed for
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the various electrical appliances (Hellenic Statistics Authority, 2013). With the incorporation
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of the Directive 2010/31/EC in the Greek Regulatory Framework, energy consumption for
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heating is predicted to decline from an average of more than 100 kWh/m²,yr to as low as 15
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kWh/m²,yr (Tsalikis and Martinopoulos, 2015).
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As more than 86% of all residences in Greece have a surface area of up to 120m² (Hellenic
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Statistics Authority, 2014), a south oriented 120 m² detached house with an inclined tiled
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rooftop, covering the needs of a four-member family, was selected in order to estimate the
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solar potential from a SSTES system. The building has a rectangular shape with 12 m width
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and 10 m length, a flat terrace and an internal height of 3 m as presented in Figure 2.
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The systems under investigation have been designed and simulated in TRNSYS for
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implementation at a single-family detached home in Thessaloniki, Greece. Thessaloniki is in
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Northern Greece (40.30°Ν, 22.58°Ε) and its climatic conditions can be marked as atypical
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Mediterranean with relatively harsh winters and hot, humid summers. Specifically, it is
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calculated that the Heating Degree Days for Thessaloniki are 1713, at a base temperature of 8
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18°C (Papakostas et al, 2005). Moreover, the average annual temperature is 16.7°C
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(Papakostas et al, 2014), while the average annual global horizontal irradiation is 1466
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kWh/m2 (YPEKA, 2010).
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For the simulations, a weather data file for Thessaloniki city is imported as an external file in Type 109 data reader in the standard TMY2 format.
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For the simulation of the building’s thermal load, TRNSYS offers a number of different
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options with the most common being Type 56, a complex multi-zone model and Type 12a a
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simple single zone degree day model (Persson et al, 2011). Although Type 56 is used by most
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researchers nowadays in building simulations (Razavi et al, 2018), Type 12a is still used in the
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analysis of renewable energy sources utilization in buildings (Davidsson et al, 2012), (Li et al,
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2014) and in the optimization of solar heating and cooling systems for building applications
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(Calise et al, 2010), (Xu and Wang, 2017) among others. The reason is that Type 12a provides
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a very good approximation of the building loads, especially during the heating period, while
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at the same time requiring less calculation time, which is helpful when the scope of a study is
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the optimization of a system (Persson et al, 2011), as in this case.
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For the above reasons, the dwelling considered, was modelled initially with both models,
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Type 12a and Type 56. The overall conductance for heat loss from the house (UA value) is
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defined at 200 W/K according to the calculations provided in table 1 for use in Type 12a. The
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table presents the structural elements within the building, providing their heat transfer
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coefficient and the area of each specific element that is exposed to the external air or
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ground, contributing to the heat flow, that were used in Type 56. According to the technical
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guidelines, the absorptivity of the opaque outer surfaces is 0.4 for the vertical building
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elements and flat roofs, 0.6 for inclined roofs, while the emissivity of the outer surfaces is
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0.8 (YPEKA, 2010). Apart from the specific and the overall UA values, the average heat transfer coefficient
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(Um) is also calculated. At this point, it should be noted that the calculations do not consider
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the integration of the solar collectors into the building envelope, as the thermal
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transmittance and the solar heat gain coefficient can hardly be determined for building
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integrated solar thermal elements, while the neglect of the integration usually overestimates
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the heating demand of the building (Maurer et al, 2017). Therefore, it is considered that the
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integration of solar collectors in all cases, either in the façade or into the roof, would further
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decrease the heat-transfer coefficients of the specific elements, contributing to an even
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lower overall conductance for heat losses. The development of new simulation models,
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including the relevant coupling of the building integrated solar thermal elements to the
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envelope, could lead to more precise calculations of the energy flux through such building
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elements (Maurer et al, 2017).
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The temperature at which the house is to be maintained during the heating season is set
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at 20°C (YPEKA, 2010). To account for the internal gains, the Type 14c component has been
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used according to the occupancy scenarios and the appliances/lighting used.
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A water based STES tank is selected, as water is considered a suitable storage medium
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solution, with high heat exchange rates, high thermal capacity and low cost, while the
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construction implementation is rather simple and conventional. Despite its limited
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temperature range, it is more than sufficient for residential applications operating in the
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range of 40-70 °C, such as space heating and domestic hot water production. Moreover, its
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upper temperature limit is close to the corresponding limit of the fluid exiting typical solar
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collectors (Pinel et al, 2011). The tank has an orthogonal shape and is equally stratified into five nodes, since this
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degree of stratification is considered sufficient for annual predictions of the performance of
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solar storage tanks using TRNSYS simulation (Oberndorfer et al, 1999). Each node has been
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set at a 0.6 m height. The secondary storage tank for the hot water for sanitary uses
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performs the same degree of stratification and has a volume of 0.3 m3. As a heating system,
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low temperature radiators are used, which is the usual choice for this type of systems
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(Tsalikis and Martinopoulos, 2015).
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Regarding the construction materials, the seasonal storage tank is considered to be
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constructed of reinforced concrete. A polyurethane coating system featuring a stainless steel
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leafing pigment is placed at the top and the vertical inside parts of the tank providing extra
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insulation. Considering these specifications, the average tank loss coefficient is set to 1.2
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kJ/(hr m2 K). Two different options of solar collector types are investigated, both flat plate
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and vacuum tube collectors in various array sizes and inclinations.
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The model of the specific system, created in TRNSYS software through the graphical user
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interface ‘Simulation Studio’, is presented in Figure 3 while the schematic representation of
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the solar thermal seasonal storage system is presented in Figure 4. Various components,
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including inputs, parameters and outputs, represent different individual systems. These
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components are linked together by connecting the outputs of the one to the input(s) of the
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other(s), modelling the required system. The total system can be separated into four
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different subsystems, namely the:
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• Solar collector subsystem
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• Seasonal Thermal Energy Storage tank subsystem
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• Building heating load subsystem
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The solar collector subsystem consists of the flat plate collector model (Type 1b) or the
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evacuated tube collector model (Type 71), as well as the other components that participate
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in the circuits with the domestic hot water and seasonal storage tanks, depending on the
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case study. Technical data of commercial collectors available in the Greek market were used
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for both solar thermal collector types. The required specifications are provided by the
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manufacturers and resulted from standard tests of collector efficiency versus the ratio ΔT/IT
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(fluid temperature minus ambient temperature to solar radiation). Moreover, incidence
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angle modifier available data were used to account for the effects of non-normal solar
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incidence. Table 2 presents the technical specifications of the solar collectors, including the
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efficiency coefficients that are used as parameters for the TRNSYS deck file.
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The collector receives hourly meteorological data as inputs from Type 109 data reader in
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the standard TMY2 format and charges the two tanks according to the user defined control
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specifications. The control pattern has been set up in such a way that only one of the storage
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tanks is provided with thermal energy by the solar collector (if there is enough solar
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radiation) for each time step, placing priority to the DHW tank.
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A differential controller (Type 2) is utilized for each collector-tank circuit, receiving inputs
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of the fluid temperature that exits the collector Thigh and the temperature of the fluid at the
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bottom node of the storage tank Tlow. The temperature difference between them is
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compared to two predefined dead band temperature differences, generating an output
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control function which may be ON (1) or OFF (0). In case that the last controller status is off,
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the temperature difference Thigh - Tlow is compared to the upper dead band temperature 12
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value of the output control function will remain 1 and the controller status on, until the
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temperature difference Thigh - Tlow becomes lower than the lower dead band temperature
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difference ΔΤL. Regardless of these conditions, the controller constantly monitors the top
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node temperature of the tank and sets the control function to zero if this temperature
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exceeds the predefined high limit cut-out value. The output control functions are linked to
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the pumps, thus switching them on or off, permitting or not the charging of the tanks.
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In order to ensure just a single tank charging per time step, while providing priority to the
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DHW tank, the output control signal of the DHW circuit differential controller (0 or 1) is
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linked to the input control function (γ) of the flow diverter component (Type 11f), setting the
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relevant position of a damper that drives the entire flow rate to one of the two exits towards
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one of the two tanks. Specifically, when the value of the output control signal of the DHW
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differential controller is 1, then the input control function (γ) is 1 and the flow rate of the
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collector is directed to the DHW tank. In another case, when the DHW circuit’s controller
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output signal is 0, the fluid exiting the solar collector is driven to the STES tank, which is
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charged if the pump of that circuit is switched on. At any case, not more than one storage
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tank could be provided with solar thermal energy by the solar collector for each time step.
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Since two different outputs cannot be linked to the same input, a tee-piece (Type 11h) is
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used to close the fluid loops with the solar collector, although the two inlet liquid streams
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are never mixed.
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The DHW tank subsystem includes the relevant stratified storage tank (Type 4c), the
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components placed to define the demand for DHW, as well as the components used to
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simulate the contribution of colder fluid that is supplied when the tank flow stream to the
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load exceeds the required temperature Tset. The last operation is achieved by the use of a 13
ACCEPTED MANUSCRIPT temperature-controlled flow diverter (Tempering Valve - Type 11b). In this case, a control
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function is internally calculated so that an appropriate flow stream displaces fluid of
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temperature Th (tank top node temperature), so that the mixed fluid temperature of the
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outlet of the tee-piece 2 will not exceed the required set point temperature Tset. When the
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thermal energy from the solar collector is inadequate for achieving the minimum required
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tank temperature, an auxiliary heating element is activated in the tank.
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Regarding the DHW draw profile, Type 14 components were used to simulate the
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everyday demand for DHW, by creating a water draw time dependent forcing function.
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Based on the daily DHW consumption of 50 liters per person, that is proposed by the Greek
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legislation scheme (KENAK) for residential buildings, a daily demand of 200 liters was
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distributed throughout a 24h cycle, according to daily use patterns that had been
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investigated for Greece (Papakostas et.al, 1995). Figure 5 depicts the flow rate of the DHW
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according to the time-dependent daily needs, as well as the cumulative demand throughout
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the day. It has to be noted that the volume of 50 lt/day can be considered at the upper limit,
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as evidenced by relevant studies (Papakostas et.al, 1995), thus the actual fraction covered
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can be even higher.
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The STES tank subsystem includes a large stratified storage tank (Type 4c) modeling the
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long-term storage of solar thermal energy during the charging period for heating application
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during the heating period. Since the storage tank is assumed to be buried under the ground,
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the environment temperature input is linked with the output of the ground temperature
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model (Type 501). This component is used to predict the soil temperature in a specific depth
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where the STES tank is considered to be placed.
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The building heating load subsystem has been designed to model a building which space
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heating load should be covered during the heating period. The heating load is partially 14
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when the tank is not able to cover the entire load by itself. Type 12a component, modeling a
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single zone structure using the energy/ (degree-day) concept and the Type 56 component,
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have both been used initially for this case. The user defined specific parameters of the
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building, such as the overall conductance, as well as meteorological TMY2 input data from
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Type 109 reader are utilized to calculate the demand for heating and the contribution from
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each source (STES tank/auxiliary) to meet that demand. The house thermal losses and the
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possible gains (solar and internal) are calculated at each time step, defining the amount of
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energy required by the house to maintain the desired set point temperature during the
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entire heating season.
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3. Simulation Results and Discussion
The performance of the system is investigated concerning the space heating contribution
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during the heating period as well as the DHW load coverage during the entire season. With
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regard to the heating period, it is always defined as a specific time period during the year,
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when the heating load is on demand. The estimation of this period usually differs from
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country to country according to the existing meteorological conditions. Actually, it also may
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be diversified for different regions inside a country. The heating period in the city of
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Thessaloniki, which belongs to the third climatic zone of Greece based on the degree-days
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for heating (YPEKA, 2010), is assumed as the period from October 18th to April 23rd.
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Therefore, this specific period has been set at the TRNSYS control cards to account for the
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space heating demand that is calculated at 6354 kWh with Type 12a and at 6558 kWh with
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Type 56 which is a difference of less than 3.2%. The difference between the results from the
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two models is consistent with previous studies regarding their comparison during the
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for the calculation of the buildings heating loads are very close, for all the case studies Type
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12a was used as the best compromise between accuracy and speed. Regarding the DWH
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demand, it is estimated at 2552 kWh annually, contributing to a total heating demand (space
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heating and hot-water demand) of 8906 kWh throughout the year.
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The operation of the system has been examined for two consecutive calendar years in
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order to achieve steady-state conditions. Prior studies have proven that the different initial
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conditions, concerning the charging or not of the stratified water tanks during the preceding
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cooling period, diversify the simulation parameters of the two years and the final results as
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well (Antoniadis and Martinopoulos, 2017).
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In order to optimize the system, two distinct type of solar collectors and two different
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building integration options (which in turn influence the collector array size) are investigated.
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Initially, a roof integrated flat plate solar array (with an inclination of 35°) was assumed with
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an installed area ranging from 14 to 30 m² (in increments of 4 m²). As a second option, a
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vacuum tube solar array was also investigated, either integrated in the façade (inclination of
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90°) with an area of 14 to 20 m², or integrated into the roof with an installed area of 22 to 30
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m² (in increments of 2 m²). Furthermore, the impact from the size of the orthogonal STES
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tank was also investigated. To that end, a tank with volume ranging from 5 to 20 m3 (in
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increments of 5 m3) was combined with the different solar collector arrays. The tank in all
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cases has a height of 3m and a width of 1.5m and the only dimension that changes is the
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length of the tank.
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In figures 6 and 7, the annual coverage for all the investigated options is presented. It is
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apparent that the impact of the solar collector array is more pronounced than that of the
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storage tank volume, regardless of the solar collector type. The results also highlight the 16
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versatility of vacuum collectors, as their integration on the façade of the building does not
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impact the solar fraction, as they are able to cover the same heating needs as a flat plate
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inclined solar collector roof array with the same total area. Taking into consideration the energy demands, the comparative cost of the scenarios
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analyzed as well as building integration needs, the use of a 20m² vacuum tube array coupled
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with a 5 m3 STES tank is the optimum solution, as it can cover at least 44% of the total
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heating loads, while at the same time leaving the roof available for possible integration of
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photovoltaic in order to cover the electricity needs of the building. The use of façade
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integrated collectors has the added benefit of a better U value than inclined collectors,
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because heat losses from the collector are reduced as a result of lower convection levels
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between the absorber and the glazing, while also the overall U value of the wall façade
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decreases as well (Weiss, 2003).
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Under the conditions stated above, the graphic plots of the simulations obtained from the
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online plotter 3 in TRNSYS, examining the scenario that provides the highest annual solar
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coverage (roof integrated 30 m² vacuum tube collectors at an inclination of 35° and a STES
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with a 20 m3 volume) for the second year’s heating period of October 18th - April 23rd, are
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displayed in figures 8 and 9. Figure 8 presents the instantaneous space heating load (kW) as
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well as the aggregate space heating demand (kWh) for the whole heating period, while figure
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9 displays the contribution of the STES and the auxiliary heater during the same period.
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As it can be seen from figure 9, the STES tank, has already reached its maximum
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temperature at the end of the charging period and is able to meet the entire space heating
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load of the building for more than two consecutive months, from the beginning of the
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heating period on October 18th until December 23rd, covering 1864 kWh of heating
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requirement. At the end of the heating period, the contribution of the STES tank (3819 kWh)
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accounts for 60% of the total demand. Table 3 presents the temperature values of each of the five tank nodes on October 18th,
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which have been set equal to that obtained at the end of the first year’s charging period
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simulation, as well as the temperatures at the end of the heating period on April 23rd.
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The thermal performance of the STES tank during the charging and the heating period for
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the best case scenario is presented in figures 10 and 11. Figure 10 displays the rate of
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thermal energy transfer from the collector to the storage tank, the rate of thermal energy
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loss from the tank to the environment (negative values), as well as the corresponding
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aggregate energy quantities during the first year’s charging period (April 24th – October 17th),
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when no space heating load is demanded. In figure 11 the heat transfer rates during the
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second year’s heating period (October 18th – April 23rd) are presented, displaying the rate at
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which thermal energy is removed from the tank to supply the space heating load (negative
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values) in addition to the charging and heat loss rates. Moreover, the aggregate charging and
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discharging energy quantities during the same period are also presented.
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4. Conclusions
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The performance of a building integrated solar thermal system, which utilizes seasonal
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thermal energy storage for domestic applications, has been investigated in order to optimize
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its sizing. The system could cover almost 67% of the total heating load requirement for a
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typical building in Thessaloniki, Greece while also minimizing the visual impact, while in all
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cases (56 in total) the proposed system could cover at least 37% of the total needs.
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However, due to the increased heat demand and the extended tank discharge during the
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load.
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References
422
Antoniadis, C.N., Martinopoulos, G. (2017) “Simulation of Solar Thermal Systems with
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Seasonal Storage Operation for Residential Scale Applications”, Procedia Environmental
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Sciences, 38, 405 – 412.
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Braun, J. E., Klein, S. A., & Mitchell, J. W. (1981). “Seasonal storage of energy in solar
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heating.” Solar Energy, 26(5), 403-411.
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Calise, F., d’Accadia, M. D., & Palombo, A. (2010). “Transient analysis and energy
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optimization of solar heating and cooling systems in various configurations.” Solar Energy,
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84(3), 432-449.
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Cappel, C., Streicher, W., Lichtblau, F., Maurer, C. (2014) “Barriers to the market penetration
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of façade-integrated solar thermal systems”, Energy Procedia, 48, 1336 – 1344.
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Davidsson, H., Perers, B., & Karlsson, B. (2012). “System analysis of a multifunctional PV/T
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hybrid solar window.” Solar Energy, 86(3), 903-910.
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Duffie, J.A., Beckman, W.A. (2013) “Solar Engineering of Thermal Processes”, John Wiley &
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Sons, New York.
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Ecofys, “Towards nearly zero-energy buildings - Definition of common principles under the
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EPBD -Final report”, 2013.
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Esen, M. (2000) “Thermal performance of a solar-aided latent heat store used for space
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European Commission, Directive 2010/31/EC, “On the Energy Performance of Buildings”,
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EEA, “Consumption and the Environment – State and Outlook”, 2010.
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European Environment Agency, “Energy efficiency and energy consumption in the household
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European Solar Thermal Industry Federation, “Solar Thermal Markets in Europe 2014”, 2015.
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Hellenic Statistics Authority, “Survey on Energy Consumption of Households 2011-12”, 2013.
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Hellenic Statistics Authority, “Building Stock Data from the 2011 Census”, 2014.
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Lamnatou, Chr., Cristofari, C., Chemisana, D., Canaletti, J.L. (2016) “Building-integrated solar
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thermal systems based on vacuum-tube technology: Critical factors focusing on life-cycle
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environmental profile”, Renewable and Sustainable Energy Reviews, 65, 1199–1215
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Li, H., Sun, L., Zhang, Y. (2014) “Performance investigation of a combined solar thermal heat
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Lundh, M., Dalenback, J.-O. (2008) “Swedish solar heated residential area with seasonal
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storage in rock: Initial evaluation”, Renewable Energy, 33, 703–711.
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Maurer, C., Cappel, C., Kuhn, T.E. (2017) “Progress in building-integrated solar thermal
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Mc Dowell, T.P., Thornton, J.W. (2008) “Simulation and model calibration of a large-scale
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solar seasonal storage system”, Third National Conference of IBPSA-USA
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Navarro, L., Gracia, A., Colclough, S., Browne, M., McCormack, S.J., Griffiths, P., Cabeza, L.F.
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(2016) “Thermal energy storage in building integrated thermal systems: A review. Part 1.
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active storage systems”, Renewable Energy, 88, 526-547
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Novo, A.V., Bayon, J.R., Castro-Fresno, D. and Rodriguez-Hernandez, J. (2010) “Review of
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seasonal heat storage in large basins: Water tanks and gravel–water pits”, Applied Energy,
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ACCEPTED MANUSCRIPT Oberndorfer, G., Beckman, W.A., Klein, S.A., “Sensitivity of annual solar fraction of solar
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space and water heating systems to tank and collector heat exchanger model parameters”,
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Solar 99 conference: Proceedings of ASES annual conference, 1999.
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ODYSSEE, Energy efficiency trends & policies (2001) Available at: http://www.odyssee-
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mure.eu/ (Accessed: 06 December 2016)
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Papakostas, K., Kyriakis, N. (2005) “Heating and cooling degree-hours for Athens and
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Thessaloniki, Greece”, Renewable Energy, 30, 1873–1880.
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Papakostas, K.T., Zagana-Papavasileiou, P., Mavromatis, T. “Analysis of 3 decades
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temperature data for Athens and Thessaloniki, Greece – Impact of temperature changes on
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energy consumption for heating and cooling of buildings”, International Conference
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ADAPTtoCLIMATE, Nicosia - Cyprus, 2014
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Papakostas, K.T., Papageorgiou N.E., Sotiropoulos B.A. (1995) “Residential hot water use
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patterns in Greece”, Solar Energy, 54, pp. 369-374.
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Persson, H., Perers, B., & Carlsson, B. (2011). “Type12 and Type56: a load structure
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comparison in TRNSYS.” In World Renewable Energy Congress-Sweden, Sweden (No. 57, pp.
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3789-3796), Linköping University Electronic Press.
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Pinel, P., Cruickshank, C.A., Beausoleil-Morrison, I., Wills, A. (2011) “A review of available
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methods for seasonal storage of solar thermal energy in residential applications”, Renewable
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and Sustainable Energy Reviews, 15, 3341– 3359.
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Probst, M. and Christian Roecker. (2007) "Towards an improved architectural quality of
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building integrated solar thermal systems (BIST)." Solar Energy 81.9 1104-1116.
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Schmidt, T., Mangold, D. and Müller-Steinhagen, H. (2004) “Central solar heating plants with
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seasonal storage in Germany.” Solar Energy, 76(1-3), pp. 165–174.
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ACCEPTED MANUSCRIPT Sibbitt, B., McClenahan, D., Djebbar, R., Thornton, J., Wong, B., Carriere, J., Kokko, J. (2012)
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“The performance of a high solar fraction seasonal storage district heating system – five
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years of operation”, Energy Procedia, 30, 856 – 865.
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biomass boiler for heating buildings.” Renewable Energy, 29(12), 2011-2022.
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Sweet, M. L., & McLeskey, J. T. (2012). “Numerical simulation of underground Seasonal Solar
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Thermal Energy Storage (SSTES) for a single family dwelling using TRNSYS.” Solar Energy,
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86(1), 289-300.
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Terziotti, L. T., Sweet, M. L., & McLeskey, J. T. (2012). “Modeling seasonal solar thermal
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energy storage in a large urban residential building using TRNSYS 16.” Energy and buildings,
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45, 28-31.
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Tsalikis, G. and Martinopoulos, G. (2015) “Solar energy systems potential for nearly net zero
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energy residential buildings”, Solar Energy, 115, pp. 743–756.
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Weiss, Werner W. “Solar heating systems for houses: a design handbook for solar
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combisystems”. Earthscan, 2003.
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YPEKA, EK407/B/9.4.2010, “Regulation on Energy Performance in the Building Sector –
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KENAK” (in Greek), 2010.
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YPEKA, Τ.Ο.Τ.Ε.Ε. 20701-3/2010, “Climatic data of Greek areas” (in Greek), 2010.
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Xu, Z. Y., & Wang, R. Z. (2017). “Simulation of solar cooling system based on variable effect
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LiBr-water absorption chiller.” Renewable Energy, 113, 907-914.
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Figure 1: Solar Thermal installed capacity (glazed collectors) in Greece
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Figure 2: Plan view of the building
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Figure 3: TRNSYS assembly of the simulation system
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Figure 4: Schematic diagram of the seasonal solar thermal energy storage system for space
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heating
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Figure 5: DWH draw profile
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Figure 6: Space heating demand during the 2nd year for the best case scenario
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Figure 7: STES tank and auxiliary source contribution during the 2nd year for the best case
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scenario
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Figure 8: STES tank heat transfer processes during the 1st year’s charging period for the best
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case scenario
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Figure 9: STES tank heat transfer processes during the 2nd year’s heating period for the best
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case scenario
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Figure 10: Annual Solar Coverage for roof integrated flat plate collector options
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Figure 11: Annual Solar Coverage for façade (14-20m²) and roof integrated (22-30m²)
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vacuum tube collector options
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Figure 1: Solar Thermal installed capacity (glazed collectors) in Greece.
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Figure 4: Schematic diagram of the seasonal solar thermal energy storage system for space
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heating
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Figure 5: DWH draw profile
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Figure 7: Annual Solar Coverage for façade (14-20m²) and roof integrated (22-30m²) vacuum
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tube collector options
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Figure 9: STES tank and auxiliary source contribution during the 2nd year for the best case scenario
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Figure 10: STES tank heat transfer processes during the 1st year’s charging period for the best case scenario
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Figure 11: STES tank heat transfer processes during the 2nd year’s heating period for the best
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Table 1: Structural specifications of the building elements
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Table 2: Technical specifications of the solar collectors
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Table 3: Temperatures of the STES tank nodes at the beginning and the end of the 2nd year ‘s
563
heating season for the best-case scenario.
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ACCEPTED MANUSCRIPT Table 1: Structural specifications of the building elements Azimuth angle 180 180 180 180 0 0 0 0 90 90 90 90 90 270 270 270 270 -
Ui (W/m2 K) 0.35 0.4 2 2 0.35 0.4 2.2 2.2 0.35 0.4 3.5 2.2 2.2 0.35 0.4 2.2 2 0.3 0.6
Ai (m2) 19.96 9 3.52 3.52 25.07 9 0.25 1.68 16.44 8 2.20 1.68 1.68 16.8 8 1.68 3.52 146 120 398 Um= 0.5 W/m2 K
Ui Ai (W/K) 6.99 3.60 7.04 7.04 8.77 3.60 0.53 3.53 5.75 3.20 7.70 3.53 3.53 5.88 3.20 3.53 7.04 43.80 72.00 200.25
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External Wall Concrete Wall French Door French Door External Wall Concrete Wall Window Window External Wall Concrete Wall Front Door Window Window External Wall Concrete Wall Window French Door Rooftop Floor
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1 S 2 S 3 S 4 S 5 N 6 N 7 N 8 N 9 W 10 W 11 W 12 W 13 W 14 E 15 E 16 E 17 E 18 19 Sum Average heat transfer coefficient
Element
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Gross Area (m2)
Flat Plate
Evacuated
Collector
Tube Collector
2
4
0.95
Fluid specific heat (kJ/kg K)
4.19
Zero loss efficiency (η0)
0.763
First order coefficient a1 (W/m2K)
3.178
Second order coefficient a2 (W/m2K2)
0.015
Tested flow rate (kg/sm2) Incidence angle modifier constant (b0)
4.19
0.46
0.802
0.005
0.02
0.02
0.15
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0.93
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Table 3: Temperatures of the STES tank nodes at the beginning and the end of the 2nd year ‘s
569
heating season for the best-case scenario. April 23rd
Node 1
95.0°C
40.0°C
Node 2
93.0°C
Node 3
92.0°C
Node 4
90.0°C
Node 5
87.0°C
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October 18th
38.0°C 37.0°C
36.5°C
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Temperature at STES tank
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Highlights: • TRNSYS is used in order to optimize a Seasonal Solar Thermal Storage System • Fifty six different case studies have been simulated Roof and façade integration options for the solar collectors were investigated
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• Solar fraction ranged from 37 to 68% of the total thermal load