Energy xxx (xxxx) xxx
Contents lists available at ScienceDirect
Energy journal homepage: www.elsevier.com/locate/energy
Editorial
Perspectives on Smart Energy Systems from the SES4DH 2018 conference a b s t r a c t Keywords: Smart energy systems District heating District cooling Sustainable energy Renewable energy
This short paper introduces the contents of selected papers from the 4th International Conference on Smart Energy Systems and 4th Generation District Heating e SES4DH. All of the papers elaborate on or contribute to the theoretical scientific understanding on how we can design and implement a suitable and least-cost transformation into a sustainable energy future with a focus on the important role of district heating and cooling technologies. © 2019 Elsevier Ltd. All rights reserved.
1. Introduction
2. Transformation and planning studies
The 4th International Conference on Smart Energy Systems and 4th Generation District Heating (SES4DH 2018) was held in Aalborg, Denmark, on 13e14 November 2018. The conference included more than 150 presentations with industrial and scientific inputs from 27 different countries around the world resulting in a programme of large variety and many interesting sessions. The aim of the conference was to present and discuss scientific findings and industrial experiences related to the subject of Smart Energy Systems and future 4th Generation District Heating Technologies and Systems (4GDH). The conference was organized by the 4DH Strategic Research Centre and the RE-INVEST project in collaboration with Aalborg University, Denmark. The concept of Smart Energy Systems emphasizes the importance of being coherent and cross-sectoral when the best solutions are to be found and how this also calls for the active inclusion of the heating and cooling sectors. The Smart Energy Systems concept is essential for 100% renewable energy systems to harvest storage synergies across energy sub-sectors and exploit low-value heat sources [1e3]. The development of 4th generation district heating is essential to the implementation of Smart Energy Systems to fulfil national objectives of future low-carbon strategies. With lower and more flexible distribution temperatures, 4th generation district heating can utilise renewable energy sources while meeting the requirements of low-energy buildings and energy conservation measures in the existing building stock [4,5]. Around 30 papers were selected and 18 accepted for publication in a special issue of this journal while other papers were published in the International Journal of Sustainable Energy Planning and Management and the journal Energies. In the following, these papers are put into the context of the conference topic as well as previously published special issues from the same [2,6e11].
This special issue starts with five papers on the planning and transformation of current systems into future 4th generation district heating solutions with a focus on the district heating grid. These papers add to previous Smart Energy Systems and 4th Generation District Heating research [12e26] within the same topic. In Heat Roadmap Europe: Heat distribution costs [27], Persson et al. elaborate further the concept of physical and economic suitability for district heating in EU28 by an aggregation regarding key dimensions such as land areas, populations, heat demands, and investment volumes. In Demand side management in district heating networks: A real application [28], Guelpa et al. show the potential of demand side management in DH networks in terms of thermal peak shaving. This is done by optimally rescheduling building heating systems. The best rescheduling is evaluated by means of a simulation tool. In An automated GIS-based planning and design tool for district heating: Scenarios for a Dutch city [29], Jebamalei et al. discuss solutions to the challenges stated above provided by an automated, geographical information system (GIS) based planning tool. The tool has been developed as a plug-in to a GIS tool and includes optimized and automated network routing algorithms, including all aspects of a district heating network dimensioning as required for a feasibility study. In Heat dispatch centre e Symbiosis of heat generation units to reach cost efficient low emission heat supply [30] Kleinertz et al. show how temperature-wise series-connection allows the usage of low-temperature heat sources. 3. Operation of DH grids From looking at the transformation into 4th generation in the previous papers, the next papers take a focus on the operation of district heating grids and add to previous work with a similar focus
https://doi.org/10.1016/j.energy.2019.116318 0360-5442/© 2019 Elsevier Ltd. All rights reserved.
Please cite this article as: Lund H et al., Perspectives on Smart Energy Systems from the SES4DH 2018 conference, Energy, https://doi.org/ 10.1016/j.energy.2019.116318
2
Editorial / Energy xxx (xxxx) xxx
[31e46]. In Lowering the pressure in district heating and cooling networks by alternating the connection of the expansion vessel [47], Sommer et al. show how lowering the pressure increases the economic viability and may thus promote the market dissemination of lowtemperature district heating and cooling networks. In Compact physical model for simulation of thermal networks [48], Guelpa and Verda present a compact model for fast simulation of thermal transients. The model preserves the reliability of a physical model because it solves the mass and energy equation. In Faults in district heating customer installations and ways to approach them: Experiences from Swedish utilities [49], Månsson et al. have focused on how utilities are currently working to keep their temperatures low; how they involve their customers in this work, and which are the most common faults today. 4. 4GDH and building systems From looking at the temperatures in the district heating grid in the previous section, this section adds to previous research [42,50e56] by taking a focus on the buildings including the radiators in the buildings. In Cost efficiency of district heating for low energy buildings of the future [57], Hansen et al. compare levelized cost of heating using district heating and individual heating solutions looking at a concrete area where both the heat demand per square meter as well as the distance between buildings vary. In Small low-temperature district heating network development prospects [58], Volkova et al. present an analysis of alternative heat supply scenarios for the newly developing city subdistrict of Kopli (Tallinn, Estonia). In Individual temperature control on demand response in a district heated office building in Finland [59], Salo et al. investigate the deployment of room-specific demand response in a districtheated office building in Southern Finland. In Trilemma of historic buildings: Smart district heating systems, bioeconomy and energy efficiency [60], Blumberga et al. assess the applicability of an innovative bio-based pine needles insulation material that is produced based on bioeconomy principles as an internal insulation material for historic massive walls. In Modelling and flexible predictive control of buildings spaceheating demand in district heating systems [61], Aoun et al. present and demonstrate, by numerical simulation, a Mixed-Integer Linear Programming (MILP)-based Model Predictive Control (MPC) strategy for space-heating demand in buildings connected to a district heating system. 5. 4GDH, renewable heat and waste heat sources Lower temperatures are key characteristics of 4GDH systems e not least due to the improved possibilities of exploiting waste heat sources. This section explores the work on the use of renewable heat and industrial excess heat in district heating grids and systems emphasising the importance of low-temperature grids as well as the use of large-scale thermal storage. The work adds to previous work of excess heat recovery [62e68] including papers with a focus on the use of solar thermal [69e71] and/or the use of Organic Rankine Cycle technologies [72,73]. In A framework for assessing the technical and economic potential of shallow geothermal energy in individual and district heating systems: A case study of Slovenia [74], Stegnar et al. propose a framework for identifying the shallow geothermal energy potential of new individual and district heating (DH) systems. In Spatial distribution of the theoretical potential of waste heat from sewage: A statistical approach [75], Pelda and Holler
statistically validate a novel methodology that quantifies, qualifies and spatially allocates the waste heat potential of sewage systems on an urban district level. Common to all cases is that real data from the sewage system does not exist or is not publicly available. 6. District heating for balancing fluctuating renewables The integration between sectors enables the utilisation of lowcost storage systems to balance fluctuating renewable electricity generation [3]. The following papers focus on the potentials for using district heating systems in the balancing of renewable energy in the electricity grid. Contributions in previous 4GDH and smart energy system work have addressed the combination of CHP and heat pumps [76] and the issue of market design and integration [77e82]. In Future district heating plant integrated with municipal solid waste (MSW) gasification for hydrogen production [83], Rudra and Tesfagaber find that integrating an indirect gasifier into preexisting MSW-fired plants can play a significant role in recovering energy from MSW in the form of energy carrier hydrogen. However, if it is necessary to construct a new waste incinerator, the study results indicate building a direct gasification system. In Solar power in district heating. P2H flexibility concept [84], Gravelsins et al. determine whether and how to integrate solar PV panels into DH systems to achieve an economically feasible, flexible energy production solution by using a power-to-heat concept. In A method for technical assessment of power-to-heat use cases to couple local district heating and electrical distribution grids [85], Leitner et al. present a method that enables a detailed technical assessment of the operation of coupled heat and power networks. It is based on a sequential coupling approach of a dynamic thermalhydraulic model for the district heating network and a quasistatic model for the electrical distribution network. In Storage influence in a combined biomass and power-to-heat district heating production plant [86], Lamaison et al. study a DH production plant composed of a biomass generator, a heat pump and a heat storage in the French energy context. Acknowledgments A main part of the work presented in this paper is the result of the research activities of the Strategic Research Centre for 4th Generation District Heating (4DH) (grant number 0603-00498B) and the RE-INVEST project (grant number 6154-00022B), which both have received funding from Innovation Fund Denmark.
References [1] Lund H. Renewable energy systems - a smart energy systems approach to the choice and modeling of 100% renewable solutions. second ed. Academic Press; 2014. [2] Lund H, Duic N, Østergaard PA, Mathiesen BV. Smart energy systems and 4th generation district heating. Energy 2016;110. https://doi.org/10.1016/ j.energy.2016.07.105. [3] Lund H, Østergaard PA, Connolly D, Ridjan I, Mathiesen BV, Hvelplund F, et al. Energy storage and smart energy systems. Int J Sustain Energy Plan Manag 2016;11:3e14. https://doi.org/10.5278/ijsepm.2016.11.2. [4] Lund H, Werner S, Wiltshire R, Svendsen S, Thorsen JE, Hvelplund F, et al. 4th Generation District Heating (4GDH). Integrating smart thermal grids into future sustainable energy systems. Energy 2014;68:1e11. https://doi.org/ 10.1016/j.energy.2014.02.089. [5] Lund H, Østergaard PA, Chang M, Werner S, Svendsen S, Sorknæs P, et al. The status of 4th generation district heating: research and results. Energy 2018;164:147e59. https://doi.org/10.1016/j.energy.2018.08.206. [6] Østergaard PA, Lund H, Mathiesen BV. Smart energy systems and 4th generation district heating. Int J Sustain Energy Plan Manag 2016;10:1e2. https:// doi.org/10.5278/ijsepm.2016.10.1. [7] Lund H, Duic N, Østergaard PA, Mathiesen BV. Future district heating systems and technologies: on the role of smart energy systems and 4th generation
Please cite this article as: Lund H et al., Perspectives on Smart Energy Systems from the SES4DH 2018 conference, Energy, https://doi.org/ 10.1016/j.energy.2019.116318
Editorial / Energy xxx (xxxx) xxx
[8]
[9]
[10] [11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
district heating. Energy 2018;165:614e9. https://doi.org/10.1016/ J.ENERGY.2018.09.115. Østergaard PA, Lund H, Mathiesen BV. Editorial - smart energy systems and 4th generation district heating systems. Int J Sustain Energy Plan Manag 2018;16:1e2. https://doi.org/10.5278/ijsepm.2018.16.1. Østergaard PA, Lund H, Mathiesen BV. Developments in 4th generation district heating. Int J Sustain Energy Plan Manag 2019;20. https://doi.org/10.5278/ ijsepm.2019.20.1. Østergaard PA, Lund H. Smart district heating and electrification. Int J Sustain Energy Plan Manag 2017;12. https://doi.org/10.5278/ijsepm.2017.12.1. Østergaard PA, Lund H. Editorial - smart district heating and energy system analyses. Int J Sustain Energy Plan Manag 2017;13. https://doi.org/10.5278/ ijsepm.2017.13.1. Ziemele J, Gravelsins A, Blumberga A, Blumberga D. Combining energy efficiency at source and at consumer to reach 4th generation district heating: economic and system dynamics analysis. Energy 2017. https://doi.org/ 10.1016/j.energy.2017.04.123. Prasanna A, Dorer V, Vetterli N. Optimisation of a district energy system with a low temperature network. Energy 2017. https://doi.org/10.1016/ j.energy.2017.03.137. Brange L, Lauenburg P, Sernhed K, Thern M. Bottlenecks in district heating networks and how to eliminate them e a simulation and cost study. Energy 2017. https://doi.org/10.1016/j.energy.2017.04.097. Schweiger G, Larsson P-O, Magnusson F, Lauenburg P, Velut S. District heating and cooling systems e framework for Modelica-based simulation and dynamic optimization. Energy 2017. https://doi.org/10.1016/ j.energy.2017.05.115. Kauko H, Kvalsvik KH, Rohde D, Hafner A, Nord N. Dynamic modelling of local low-temperature heating grids: a case study for Norway. Energy 2017. https:// doi.org/10.1016/j.energy.2017.07.086. Ommen T, Thorsen JE, Markussen WB, Elmegaard B. Performance of ultra low temperature district heating systems with utility plant and booster heat pumps. Energy 2017. https://doi.org/10.1016/j.energy.2017.05.165. Leeuwen RP van, Wit JB de, Smit GJM. Energy scheduling model to optimize transition routes towards 100% renewable urban districts. Int J Sustain Energy Plan Manag 2017;13. https://doi.org/10.5278/ijsepm.2017.13.3. Sernhed K, Gåverud H, Sandgren A. Customer perspectives on district heating price models. Int J Sustain Energy Plan Manag 2017;13. https://doi.org/ 10.5278/ijsepm.2017.13.4. Lund R, Østergaard DS, Yang X, Mathiesen BV. Comparison of lowtemperature district heating concepts in a long-term energy system perspective. Int J Sustain Energy Plan Manag 2017;12:5e18. https://doi.org/10.5278/ ijsepm.2017.12.2. Volkova A, Masatin V, Siirde A. Methodology for evaluating the transition process dynamics towards 4th generation district heating networks. Energy 2018;150:253e61. https://doi.org/10.1016/J.ENERGY.2018.02.123. Ziemele J, Cilinskis E, Blumberga D. Pathway and restriction in district heating systems development towards 4th generation district heating. Energy 2018;152:108e18. https://doi.org/10.1016/J.ENERGY.2018.03.122. Nord N, Løve Nielsen EK, Kauko H, Tereshchenko T. Challenges and potentials for low-temperature district heating implementation in Norway. Energy 2018;151:889e902. https://doi.org/10.1016/J.ENERGY.2018.03.094. Popovski E, Fleiter T, Santos H, Leal V, Fernandes EO. Technical and economic feasibility of sustainable heating and cooling supply options in southern European municipalities-A case study for Matosinhos, Portugal. Energy 2018;153: 311e23. https://doi.org/10.1016/J.ENERGY.2018.04.036. Knies J. A spatial approach for future-oriented heat planning in urban areas. Int J Sustain Energy Plan Manag 2018. https://doi.org/10.5278/ ijsepm.2018.16.2. ~sov E, Masatin V, Siirde A. Development of a user-friendly moVolkova A, Lato bile app for the national level promotion of the 4th generation district heating. Int J Sustain Energy Plan Manag 2019;20. https://doi.org/10.5278/ ijsepm.2019.20.3. € ller B, Werner S. Heat Roadmap Europe: heat disPersson U, Wiechers E, Mo tribution costs. Energy 2019;176:604e22. https://doi.org/10.1016/ J.ENERGY.2019.03.189. Guelpa E, Marincioni L, Deputato S, Capone M, Amelio S, Pochettino E, et al. Demand side management in district heating networks: a real application. Energy 2019;182:433e42. https://doi.org/10.1016/J.ENERGY.2019.05.131. Maria Jebamalai J, Marlein K, Laverge J, Vandevelde L, van den Broek M. An automated GIS-based planning and design tool for district heating: scenarios for a Dutch city. Energy 2019;183:487e96. https://doi.org/10.1016/ J.ENERGY.2019.06.111. Kleinertz B, Brühl G, von Roon S. Heat dispatch centre e Symbiosis of heat generation units to reach cost efficient low emission heat supply. Energy 2019:116155. https://doi.org/10.1016/J.ENERGY.2019.116155. Trømborg E, Havskjold M, Bolkesjø TF, Kirkerud JG, Tveten ÅG. Flexible use of electricity in heat-only district heating plants. Int J Sustain Energy Plan Manag 2017;12:29e46. https://doi.org/10.5278/ijsepm.2017.12.4. re B. Techno-economic Flores JFC, Espagnet AR, Chiu JN, Martin V, Lacarrie assessment of active latent heat thermal energy storage systems with lowtemperature district heating. Int J Sustain Energy Plan Manag 2017;13. https://doi.org/10.5278/ijsepm.2017.13.2. Letellier-Duchesne S, Nagpal S, Kummert M, Reinhart C. Balancing demand and supply: linking neighborhood-level building load calculations with
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
[51]
[52]
[53]
[54]
[55]
[56]
[57]
3
detailed district energy network analysis models. Energy 2018;150:913e25. https://doi.org/10.1016/J.ENERGY.2018.02.138. Suryanarayana G, Lago J, Geysen D, Aleksiejuk P, Johansson C. Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods. Energy 2018. https://doi.org/10.1016/ j.energy.2018.05.111. Kauko H, Kvalsvik KH, Rohde D, Nord N, Utne Å. Dynamic modeling of local district heating grids with prosumers: a case study for Norway. Energy 2018;151:261e71. https://doi.org/10.1016/J.ENERGY.2018.03.033. Vandermeulen A, van der Heijde B, Patteeuw D, Vanhoudt D, Helsen L. A theoretical benchmark for bypass controllers in a residential district heating network. Energy 2018;151:45e53. https://doi.org/10.1016/ J.ENERGY.2018.02.156. Cai H, You S, Wang J, Bindner HW, Klyapovskiy S. Technical assessment of electric heat boosters in low-temperature district heating based on combined heat and power analysis. Energy 2018;150:938e49. https://doi.org/10.1016/ J.ENERGY.2018.02.084. Zühlsdorf B, Meesenburg W, Ommen TS, Thorsen JE, Markussen WB, Elmegaard B. Improving the performance of booster heat pumps using zeotropic mixtures. Energy 2018;154:390e402. https://doi.org/10.1016/ J.ENERGY.2018.04.137. Zvingilaite E, Ommen T, Elmegaard B, Franck ML. Low temperature DH consumer unit with micro heat pump for DHW preparation. In: Proc. 13th int. Symp. Dist. Heat. Cool. District Energy Development Center; 2012. p. 136e43. Østergaard PA, Andersen AN. Booster heat pumps and central heat pumps in district heating. Appl Energy 2016;184:1374e88. https://doi.org/10.1016/ j.apenergy.2016.02.144. Østergaard PA, Andersen AN. Economic feasibility of booster heat pumps in heat pump-based district heating systems. Energy 2018;155:921e9. https:// doi.org/10.1016/J.ENERGY.2018.05.076. Best I, Orozaliev J, Vajen K. Economic comparison of low-temperature and ultra-low-temperature district heating for new building developments with low heat demand densities in Germany. Int J Sustain Energy Plan Manag 2018;16. https://doi.org/10.5278/ijsepm.2018.16.4. Schuchardt GK, Kraft S, Narften M, Bagusche O. Development of an empirical method for determination of thermal conductivity and heat loss for preinsulated plastic bonded twin pipe systems. Int J Sustain Energy Plan Manag 2018;16. https://doi.org/10.5278/ijsepm.2018.16.5. Brange L, Sernhed K, Thern M. Decision-making process for addressing bottleneck problems in district heating networks. Int J Sustain Energy Plan Manag 2019;20. https://doi.org/10.5278/ijsepm.2019.20.4. Pellegrini M. Classification through analytic hierarchy process of the barriers in the revamping of traditional district heating networks into low temperature district heating: an Italian case study. Int J Sustain Energy Plan Manag 2019;20. https://doi.org/10.5278/ijsepm.2019.20.5. Roberto R, Iulio R De, Somma M Di, Graditi G, Guidi G, Noussan M. A multiobjective optimization analysis to assess the potential economic and environmental benefits of distributed storage in district heating networks: a case study. Int J Sustain Energy Plan Manag 2019;20. https://doi.org/10.5278/ ijsepm.2019.20.2. Sommer T, Mennel S, Sulzer M. Lowering the pressure in district heating and cooling networks by alternating the connection of the expansion vessel. Energy 2019;172:991e6. https://doi.org/10.1016/J.ENERGY.2019.02.010. Guelpa E, Verda V. Compact physical model for simulation of thermal networks. Energy 2019;175:998e1008. https://doi.org/10.1016/ J.ENERGY.2019.03.064. Månsson S, Johansson Kallioniemi P-O, Thern M, Van Oevelen T, Sernhed K. Faults in district heating customer installations and ways to approach them: experiences from Swedish utilities. Energy 2019;180:163e74. https:// doi.org/10.1016/J.ENERGY.2019.04.220. Jangsten M, Kensby J, Dalenb€ ack J-O, Trüschel A. Survey of radiator temperatures in buildings supplied by district heating. Energy 2017. https://doi.org/ 10.1016/j.energy.2017.07.017. re B, Le Corre O, Ferr~ Andri c I, Fournier J, Lacarrie ao P. The impact of global warming and building renovation measures on district heating system techno-economic parameters. Energy 2018;150:926e37. https://doi.org/ 10.1016/J.ENERGY.2018.03.027. Schweiger G, Heimrath R, Falay B, O’Donovan K, Nageler P, Pertschy R, et al. District energy systems: modelling paradigms and general-purpose tools. Energy 2018. https://doi.org/10.1016/J.ENERGY.2018.08.193. Ashfaq A, Ianakiev A. Investigation of hydraulic imbalance for converting existing boiler based buildings to low temperature district heating. Energy 2018;160:200e12. https://doi.org/10.1016/J.ENERGY.2018.07.001. Vanaga R, Blumberga A, Freimanis R, Mols T, Blumberga D. Solar facade module for nearly zero energy building. Energy 2018. https://doi.org/10.1016/ J.ENERGY.2018.04.167. Prina MG, Cozzini M, Garegnani G, Manzolini G, Moser D, Filippi Oberegger U, et al. Multi-objective optimization algorithm coupled to EnergyPLAN software: the EPLANopt model. Energy 2018;149:213e21. https://doi.org/ 10.1016/J.ENERGY.2018.02.050. De Jaeger I, Reynders G, Ma Y, Saelens D. Impact of building geometry description within district energy simulations. Energy 2018;158:1060e9. https:// doi.org/10.1016/J.ENERGY.2018.06.098. Hansen CH, Gudmundsson O, Detlefsen N. Cost efficiency of district heating for low energy buildings of the future. Energy 2019;177:77e86. https://
Please cite this article as: Lund H et al., Perspectives on Smart Energy Systems from the SES4DH 2018 conference, Energy, https://doi.org/ 10.1016/j.energy.2019.116318
4
Editorial / Energy xxx (xxxx) xxx
doi.org/10.1016/J.ENERGY.2019.04.046. ~sov E, Siirde A. Small low[58] Volkova A, Krupenski I, Pieper H, Ledvanov A, Lato temperature district heating network development prospects. Energy 2019;178:714e22. https://doi.org/10.1016/J.ENERGY.2019.04.083. [59] Salo S, Jokisalo J, Syri S, Kosonen R. Individual temperature control on demand response in a district heated office building in Finland. Energy 2019;180: 946e54. https://doi.org/10.1016/J.ENERGY.2019.05.035. [60] Blumberga A, Freimanis R, Muizniece I, Spalvins K, Blumberga D. Trilemma of historic buildings: smart district heating systems, bioeconomy and energy efficiency. Energy 2019;186:115741. https://doi.org/10.1016/ J.ENERGY.2019.07.071. re R, Valle e M, Aurousseau A, Sandou G. Modelling and flexible [61] Aoun N, Bavie predictive control of buildings space-heating demand in district heating systems. Energy 2019;188:116042. https://doi.org/10.1016/ J.ENERGY.2019.116042. [62] Lygnerud K, Werner S. Risk assessment of industrial excess heat recovery in district heating systems. Energy 2018;151:430e41. https://doi.org/10.1016/ J.ENERGY.2018.03.047. [63] Bühler F, Petrovi c S, Holm FM, Karlsson K, Elmegaard B. Spatiotemporal and economic analysis of industrial excess heat as a resource for district heating. Energy 2018;151:715e28. https://doi.org/10.1016/J.ENERGY.2018.03.059. € finger M, Schmidt RR, Basciotti D, Terreros O, Baldvinsson I, Mayrhofer J, [64] Ko et al. Simulation based evaluation of large scale waste heat utilization in urban district heating networks: optimized integration and operation of a seasonal storage. Energy 2018. https://doi.org/10.1016/J.ENERGY.2018.06.192. €ma € M, Persson U, Jasserand F. Cost-benefit analysis [65] Leurent M, Da Costa P, Ra of district heating systems using heat from nuclear plants in seven European countries. Energy 2018;149:454e72. https://doi.org/10.1016/ J.ENERGY.2018.01.149. [66] Pakere I, Lauka D, Blumberga D. Solar power and heat production via photovoltaic thermal panels for district heating and industrial plant. Energy 2018;154:424e32. https://doi.org/10.1016/J.ENERGY.2018.04.138. [67] Marguerite C, Andresen GB, Dahl M. Multi-criteria analysis of storages integration and operation solutions into the district heating network of Aarhus e a simulation case study. Energy 2018;158:81e8. https://doi.org/10.1016/ J.ENERGY.2018.06.013. [68] Pieper H, Masatin V, Volkova A, Ommen TS, Elmegaard B, Markussen WB. Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources: a case study of Tallinn, Estonia. Int J Sustain Energy Plan Manag 2019;20. https://doi.org/10.5278/ ijsepm.2019.20.6. [69] R€ am€ a M, Mohammadi S. Comparison of distributed and centralised integration of solar heat in a district heating system. Energy 2017. https://doi.org/ 10.1016/j.energy.2017.03.115. [70] Soloha R, Pakere I, Blumberga D. Solar energy use in district heating systems. A case study in Latvia. Energy 2017. https://doi.org/10.1016/ j.energy.2017.04.151. €ck J-O, Holler S. Integration of solar thermal systems [71] Winterscheid C, Dalenba in existing district heating systems. Energy 2017. https://doi.org/10.1016/ j.energy.2017.04.159. _ [72] Kaczmarczyk TZ, Zywica G, Ihnatowicz E. The impact of changes in the geometry of a radial microturbine stage on the efficiency of the micro CHP plant based on ORC. Energy 2017. https://doi.org/10.1016/j.energy.2017.05.166. €rssinen M, Manner J. Utilizing data center waste heat in [73] Wahlroos M, Syri S, Pa district heating e impacts on energy efficiency and prospects for lowtemperature district heating networks. Energy 2017. https://doi.org/ 10.1016/j.energy.2017.08.078. [74] Stegnar G, Stani ci c D, Cesen M, Ci zman J, Pestotnik S, Prestor J, et al. A framework for assessing the technical and economic potential of shallow geothermal energy in individual and district heating systems: a case study of Slovenia. Energy 2019;180:405e20. https://doi.org/10.1016/ J.ENERGY.2019.05.121. [75] Pelda J, Holler S. Spatial distribution of the theoretical potential of waste heat from sewage: a statistical approach. Energy 2019;180:751e62. https://
doi.org/10.1016/J.ENERGY.2019.05.133. [76] Levihn F. CHP and heat pumps to balance renewable power production: lessons from the district heating network in Stockholm. Energy 2017. https:// doi.org/10.1016/j.energy.2017.01.118. [77] Djørup S, Thellufsen JZ, Sorknæs P. The electricity market in a renewable energy system. Energy 2018;162:148e57. https://doi.org/10.1016/ J.ENERGY.2018.07.100. [78] Sneum DM, Sandberg E. Economic incentives for flexible district heating in the Nordic countries. Int J Sustain Energy Plan Manag 2018;16. https:// doi.org/10.5278/ijsepm.2018.16.3. nez Navarro JP, Kavvadias KC, Quoilin S, Zucker A. The joint effect of cen[79] Jime tralised cogeneration plants and thermal storage on the efficiency and cost of the power system. Energy 2018;149:535e49. https://doi.org/10.1016/ J.ENERGY.2018.02.025. [80] Meesenburg W, Ommen T, Elmegaard B. Dynamic exergoeconomic analysis of a heat pump system used for ancillary services in an integrated energy system. Energy 2018;152:154e65. https://doi.org/10.1016/ J.ENERGY.2018.03.093. [81] Al-Ameen Y, Ianakiev A, Evans R. Recycling construction and industrial landfill waste material for backfill in horizontal ground heat exchanger systems. Energy 2018;151:556e68. https://doi.org/10.1016/J.ENERGY.2018.03.095. [82] Sernhed K, Lygnerud K, Werner S. Synthesis of recent Swedish district heating research. Energy 2018;151:126e32. https://doi.org/10.1016/ J.ENERGY.2018.03.028. [83] Rudra S, Tesfagaber YK. Future district heating plant integrated with municipal solid waste (MSW) gasification for hydrogen production. Energy 2019;180:881e92. https://doi.org/10.1016/J.ENERGY.2019.05.125. [84] Gravelsins A, Pakere I, Tukulis A, Blumberga D. Solar power in district heating. P2H flexibility concept. Energy 2019;181:1023e35. https://doi.org/10.1016/ J.ENERGY.2019.05.224. [85] Leitner B, Widl E, Gawlik W, Hofmann R. A method for technical assessment of power-to-heat use cases to couple local district heating and electrical distribution grids. Energy 2019;182:729e38. https://doi.org/10.1016/ J.ENERGY.2019.06.016. e M, Bavie re R. Storage influence in a combined [86] Lamaison N, Collette S, Valle biomass and power-to-heat district heating production plant. Energy 2019;186:115714. https://doi.org/10.1016/J.ENERGY.2019.07.044.
Henrik Lund* Department of Planning, Aalborg University, Rendsburggade 14, Aalborg, Denmark Neven Duic Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Luciceva 5, Zagreb, Croatia Poul Alberg Østergaard Department of Planning, Aalborg University, Rendsburggade 14, Aalborg, Denmark Brian Vad Mathiesen Department of Planning, Aalborg University, A.C. Meyers Vænge 25, Copenhagen, Denmark * Corresponding author. E-mail address:
[email protected] (H. Lund).
Available online xxx
Please cite this article as: Lund H et al., Perspectives on Smart Energy Systems from the SES4DH 2018 conference, Energy, https://doi.org/ 10.1016/j.energy.2019.116318