Life cycle assessment and net energy analysis of offshore wind power systems

Life cycle assessment and net energy analysis of offshore wind power systems

Accepted Manuscript Life cycle assessment and net energy analysis of offshore wind power systems Yu-Fong Huang, Xing-Jia Gan, Pei-Te Chiueh PII: S09...

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Accepted Manuscript Life cycle assessment and net energy analysis of offshore wind power systems

Yu-Fong Huang, Xing-Jia Gan, Pei-Te Chiueh PII:

S0960-1481(16)30915-6

DOI:

10.1016/j.renene.2016.10.050

Reference:

RENE 8238

To appear in:

Renewable Energy

Received Date:

17 September 2015

Revised Date:

16 October 2016

Accepted Date:

22 October 2016

Please cite this article as: Yu-Fong Huang, Xing-Jia Gan, Pei-Te Chiueh, Life cycle assessment and net energy analysis of offshore wind power systems, Renewable Energy (2016), doi: 10.1016/j. renene.2016.10.050

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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Highlights:

Environmental impact and energy benefit of offshore wind power was evaluated.



Installing an offshore substation would lead to higher environmental impact.



The greatest environmental impact was attributable to the use of ferrous metal.



Energy return on investment can be as high as 27.



Environmental impact and energy input can be largely reduced by waste recycling.

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Life cycle assessment and net energy analysis of offshore wind power systems

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Yu-Fong Huang, Xing-Jia Gan, Pei-Te Chiueh*

Graduate Institute of Environmental Engineering, National Taiwan University, 71,

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Corresponding author. Tel.: +886 2 3366 2798; fax: +886 2 2392 8830 Email address: [email protected] (P.-T. Chiueh). 1

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Abstract

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This study attempted to evaluate the environmental impact and energy benefit of offshore wind power systems using life cycle assessment (LCA) and net energy

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analysis. The environmental impact of offshore wind power systems is based primarily

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on ferrous metal, which is used to install the foundations, towers, and nacelles. The

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impact categories with the greatest relevance were fossil fuels and respiratory

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inorganics. This study assumed that the life cycle of an offshore wind power system has

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four stages (production, installation, operation and maintenance, and end-of-life). Two

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scenarios were examined in this study. The major difference between the scenarios was

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that Scenario 2 included an offshore substation. The overall environmental impact in

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Scenario 2 was higher than that in Scenario 1 by approximately 10%. The net energy

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analysis in this study included the evaluations of cumulative energy demand (CED),

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energy return on investment (EROI), and energy payback time (EPT). For Scenarios 1

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and 2, CED was 0.192 and 0.216 MJ/kWh, EROI was 18.7 and 16.7, and EPT was 12.8

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and 14.4 months, respectively. Moreover, when the recycling of waste materials was

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considered, each scenario produced a 25% lower environmental impact, 30% lower

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energy requirement, and 4 months lower EPT.

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Keywords: Offshore wind power; Life cycle assessment; Net energy analysis;

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Sensitivity analysis

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1. Introduction

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Research and development of renewable energy is urgent because of concerns such as heavy dependence on nonrenewable fossil fuels and disasters caused by global

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climate change. During the past four decades, the consumption of fossil fuels and

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emission of carbon dioxide have nearly doubled [1]. One promising form of renewable

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energy is wind power, which is generated by wind turbines that convert the kinetic

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energy of wind to electrical energy by rotating blades [2]. The worldwide electricity

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generation of wind power has increased rapidly, and wind power has become the fastest

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developing renewable energy technology [3]. From 1996 to 2011, the average annual

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capacity of wind power increased by approximately 28% [4]. At the end of 2013, there

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were commercial wind power installations in more than 90 countries with total installed

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capacity of 318 GW, providing approximately 3% of global electricity supply [5]. The

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rapid development of the wind power market and technology has major implications for

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research, education, and professionals working in the electric utility and wind power

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industries [6]. Wind power is exploited not only onshore but also offshore, where wind

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speeds are higher and wind is typically available more regularly and for longer periods

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[7]. Therefore, offshore wind power has attracted increasing interest mainly because of

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the limited land for onshore wind farms. In 2013, total cumulative installations in the

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offshore sector reach to 7,046 MW, approximately 2.2% of the global installed wind

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turbine capacity [8]. Accordingly, a substantial growth of offshore wind power

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installations is expected.

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Wind power is driven by renewable energy flux, but in a life cycle perspective

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there are still non-renewable resource demands and harmful emissions associated with it

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[9], mainly due to the production and installation of wind turbines and related facilities.

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The possible environmental and resource impact caused by the utilization of wind

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power can be quantified by the method of life cycle assessment (LCA) [9]. Life cycle

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assessment (LCA) is a tool for identifying and evaluating the environmental impact of a

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product or service during its entire life cycle [10]. LCA is one of the most effective

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methods of evaluating environmental burdens by identifying energy and materials used

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as well as waste and emissions released in the environment [11]. LCA may be

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conducted under various circumstances, but it is mainly based on a careful and

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comprehensive account of all energy and material flow associated with a system or

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process [12]. The environmental impact and benefits of wind power systems have been

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evaluated and compared with those of other forms of renewable energy by using the

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LCA method [10,13–15]. Compared with other renewable energy technologies, such as

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photovoltaics, hydropower, and geothermal power, wind power systems are superior

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regarding the sustainability indicators of carbon emissions, water consumption, and

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social impact [16].

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Both nonrenewable and renewable energy systems consume energy throughout

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their life cycles. When considering the net benefit of an energy system, one major

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concern is whether output energy is higher than input energy. The reliability of

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renewable energy is often questioned because of its net energy benefit. One technique

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for evaluating net benefit is to compare output energy delivered and input energy

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required. The purpose of net energy analysis is to assess energy use for such activities

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as the extraction of raw materials, construction, operation and maintenance (O&M),

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disposal, and recycling. Various indicators are used for net energy analysis to measure

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energy use and performance. One indicator is referred to as energy return on investment

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(EROI), which is the ratio of energy delivered to energy cost [17]. The EROI of wind

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power can be much higher than that of other renewable energy technologies, such as

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solar thermal power, photovoltaics, geothermal power, and hydropower [18].

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To promote the development and application of offshore wind power systems,

understanding the benefits and threats of these systems to the environment and energy

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production is crucial. Previous LCA studies have evaluated the GHG emissions, energy

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performance, and environmental impacts associated with various aspects of the offshore

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wind power designs [19–21]. However, there is no single literature that

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comprehensively studies both LCA and net energy analysis of offshore wind power

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systems. Besides, while a previous study pointed out that the substructure of offshore

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wind power plants is an important factor for the CO2 emissions [20], the effect of

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installing an offshore substation on the environment and energy has not been studied so

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far. This study aimed to identify and evaluate the environmental impact and energy

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consumed at each stage of an offshore wind power system developed in Taiwan west

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coast. Two scenarios, with and without a substation in the offshore wind system were

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considered. LCA and net energy analysis were conducted to assess environmental

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impact and energy benefit throughout the life cycles of wind power systems, including

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component manufacturing, construction, transportation, operation, maintenance, and

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recycling after decommissioning.

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2. Methods

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The life cycle inventories of two offshore wind power systems were developed and assessed based on a functional unit of 1 kWh of electricity to evaluate environmental

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burden and energy balance in this study. The LCA software SimaPro 7.1 and Eco-

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indicator 99 method were applied. This study used a conventional process-type LCA

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model using the inventory data from the built-in Ecoinvent database of SimaPro 7.1 and

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the inventory data from literature reports as described later in Section 2.2. In fact, a

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systematic truncation error occurs in the process-type LCA. The truncation error is

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caused by the setting of system boundaries and consequently the omission of processes

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outside these boundaries [22–24]. The magnitude of the error varies with the type of

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product or activity considered, but can be in the order of 50% [23,24]. One way to avoid

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the truncation error is to incorporate an input–output analysis into the assessment

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framework, resulting in a hybrid LCA method [23]. Besides, the truncation error of a

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process-type LCA is often significantly higher than that in the input–output part of a

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hybrid assessment [23]. The use of input–output-based hybrid techniques can prevent

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uncertainties and errors in the process-type and input-output analyses of wind power

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[13,25]. Further discussion on the truncation error and the input–output analysis is

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beyond the scope of the study, but these aspects are important to assist the decision-

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making of the government by providing information and suggestion with better

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accuracy and precision. There is a literature report on Taiwan’s CO2 and CH4 emissions

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inventories in an integrated hybrid input-output LCA [26], which is a helpful reference

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for setting up hybrid input-output LCA models. Besides, it should be noted that this

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study is an attributional LCA study which normally cannot take comprehensive system

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changes into consideration [27]. Further extensive investigation and analysis would be

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necessary to carry out a consequential analysis. Moreover, net energy indicators,

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including cumulative energy demand (CED), energy return on investment (EROI), and

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energy payback time (EPT), were also calculated.

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123 2.1 Goal and scope

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2.1.1 System boundary

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The system boundary of this study was the overall life cycles of offshore wind

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power systems, including the phases of resource extraction, component manufacturing,

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construction, transportation, operation, maintenance, and disposal. This study simulated

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two offshore wind power system scenarios: one had an offshore electrical substation,

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and the other did not. The necessity of an offshore substation depends on the total

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installed capacity of a wind farm and its distance from the coast. Generally, when the

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total installed capacity is less than 30 MW, constructing an offshore substation is

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unnecessary. If the total installed capacity is more than 30 MW but less than 120 MW,

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an offshore substation should be constructed when the distance between the wind farm

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and the coast is greater than 10 km. An offshore substation is generally necessary when

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the total installed capacity is higher than 120 MW, regardless of the distance between

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the wind farm and the coast.

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In this study, offshore wind farms were assumed to include the installation of 52

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wind turbines (Vestas V80-2.0 MW), resulting in a total power capacity of 104 MW.

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Two scenarios were simulated. Scenarios 1 and 2 included wind turbines, internal

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cables, and electrical submarine cables. In Scenario 1, the wind turbines were connected

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with one another by 32 kV submarine cables, and the electricity was then transmitted to

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the coast by two 32 kV submarine cables. In Scenario 2, the electricity generated from

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the wind farm was first delivered to an offshore substation (AC/DC), and it was then

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transmitted to the coast by a 150 kV submarine cable. PEX-insulated cables were

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assumed to be used (PEX: cross-linked polyethylene). The schematic diagrams of the

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two offshore wind power systems are illustrated in Fig. 1.

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Wind turbines

Offshore substation

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32 kV submarine cables

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Wind turbines

Fig. 1

System boundary

Onshore substation

Scenario 2

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32 kV submarine cables

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Scenario 1

System boundary

Onshore substation

150 kV submarine cable

Offshore wind power systems.

2.1.2 Functional unit

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For this study, 1 kWh generated by offshore wind power was selected as a 8

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functional unit. Input resources, energy consumption, and relative emissions throughout

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the life cycles of offshore wind power systems were calculated based on this functional

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unit.

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161 2.1.3 Assumption

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For conducting the LCA of offshore wind power systems, the following four assumptions were held: 

The site of the offshore wind power system is located in the Taiwan Strait, near the coast of Fangyuan Township, Changhua County. The distance

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between the system and the coast ranges from 8 to 15 km. The depth of the

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sea area ranges from 20 to 45 m. The area of the system is approximately 20

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km2.

Taiwan in 2011 [28].

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Electricity supply and consumption is that of the power generation structure in

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The lifetime of wind turbines and internal submarine cables is 20 years, and

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the lifetime of submarine transmission cables and an offshore substation is 40

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years.

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Only domestic transportation is considered. The distance of land

transportation is assumed to be 150 km, which is approximately the average

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distance across three counties in Taiwan. Maritime transportation is between the offshore wind farm and Taichung Harbor, and the average distance is

assumed to be 50 km.

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2.2 Inventory analysis

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The life cycle inventory analyses of the offshore wind power systems were mainly based on the reports of Dong Energy and Vestas Wind Systems [29,30]. The inventory

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data for the stages of installation, transportation, O&M, decommissioning, and

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recycling were based on the literature [20,31]. In addition, the number of vessels and

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workdays required were adjusted at the construction stage. Further description of the

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inventory analysis at the production, installation, O&M, and end-of-life (EOL) stages is

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provided in the following text.

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The offshore wind farm primarily consisted of wind turbines and a power

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transmission system. A wind turbine was mainly composed of rotor blades, nacelles,

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and a tower and foundation. In Scenario 1, the power transmission system included 32

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kV submarine cables only. In Scenario 2, the power transmission system included

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32/150 kV submarine cables and an offshore substation. The major materials necessary

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for the installation of the offshore wind farm included cast iron, steel, glass fiber,

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plastics, resin, concrete, lead, copper, and aluminum. The components and materials

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used for the offshore wind farm are listed in Table 1. The quantities of the materials

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used are provided in the Appendix (Table A.1), based on the reports of Dong Energy

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and Vestas Wind Systems for the establishment of an offshore wind farm at Horns Reef,

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Denmark in 2002 [29,30]. It is important to understand the source of the data. LCAs

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vary significantly when background economies are changed [32]. Lenzen and

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Wachsmann have shown that the energy requirements in different countries can differ

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by a factor of more than 8 [32], so the choice of country for inventory data can make a

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big difference.

Table 1 The components and materials used of the offshore wind farm. Components

Materials

Rotor blade

Glass fiber, epoxy resin, PVC

Nacelle

Cast iron, steel, glass fiber, HDPE, epoxy resin

Tower

Steel, alkyd resin

Foundation

Steel, aluminum

32/150 kV submarine cable

Lead, copper, steel, HDPE

Offshore substation

Steel, concrete, cast iron, aluminum

2.2.2 Installation stage

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During the installation of offshore wind power facilities, the required

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transportation was assumed to include domestic land and maritime transportation.

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Foreign transportation for the importation of wind turbine components was neglected.

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The distance for domestic land transportation by truck was assumed to be 150 km, and

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the distance for domestic maritime transportation from Taichung Harbor to the offshore

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wind farm was assumed to be 50 km. The installation of the wind power facilities could

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be divided into three steps: (1) the construction of submarine infrastructures; (2) the

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installation of the towers, nacelles, and rotor blades; (3) the connection of the power

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grid. The number of vessels and workdays required at the installation stage are listed in

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the Appendix (Table A.2).

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2.2.3 Operation and maintenance stage

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To maintain high efficiency, the maintenance of offshore wind turbines typically consists of scheduled maintenance one to two times and unscheduled (corrective)

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maintenance one to four times per year per wind turbine [20]. Maintenance was

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assumed to occur five times per year in this study, with a vessel being used for

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transportation during maintenance once per year and a helicopter being used for

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transportation during maintenance four times per year. The distance of transportation

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was assumed to be 50 km. The unscheduled adding or replacing of lubricants was

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assumed to be necessary to maintain the function of wind turbines. During the life cycle

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of an offshore wind turbine (20 years), one rotor blade and one out of three nacelles on

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average was assumed to require replacement in this study. The numbers of vessels and

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workdays required in the O&M stage are listed in the Appendix (Table A.3).

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Furthermore, the lifetime of wind farms could increase to 25 or even 30 years,

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attributable to the progress of wind power technology. Although the increased lifetime

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would need more maintenance works, it is difficult to present the effect of lifetime

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because the function unit of this study was energy generated by the offshore wind

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power system.

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2.2.4 End-of-life stage

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The last stage of an offshore wind power system is the EOL stage. At this stage,

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the primary goal is to address waste recycling and disposal to minimize its impact on

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the environment. To choose an appropriate decommissioning method (e.g., full or

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partial demolition), the environmental characteristics of a wind farm must be assessed.

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For the purpose of restoring the site to its original state, based on existing technology, at

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the decommissioning stage, all of the offshore wind power facilities were assumed to be

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demolished in this study, including submarine cables and an offshore substation. The

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number of vessels and workdays required at the EOL stage are listed in the Appendix

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(Table A.4).

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The recyclable materials from the waste offshore wind power system were

assumed to include steel, cast iron, copper, aluminum, lead, and other metals, whereas

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glass fibers and plastics were assumed to be buried or incinerated. In most cases, the

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loss rate of the steel and metal recycling is less than 10%. In this study, the recycling

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rate was assumed to be 90%, and the loss rate was assumed to be 10%. The methods of

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recycling and disposing of the aforementioned materials are listed in Table 2.

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Table 2 The methods of recycling and disposing of the waste materials. Material

Recycling / Disposal

Steel / cast iron, stainless steel / high-strength steel, copper, aluminum, lead

90% recycling

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Rubber, plastics (except PVC)

100% incineration

Glass fiber, PVC

100% buried

2.3 Impact assessment

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The impact assessment model of this study was Eco-indicator 99, which is a damage-oriented (endpoint) method for life cycle impact assessment [33]. Eco-indicator

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99 comprises five steps: (1) characterization, (2) damage assessment, (3) normalization,

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(4) weighting, and (5) single score calculation. After the impact assessment, the

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magnitude of environmental impact can be expressed as a single score point (Pt). The

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inventory results can be classified and characterized as 11 impact categories (i.e.,

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carcinogens, respiratory organics, respiratory inorganics, climate change, radiation,

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ozone layer, ecotoxicity, acidification and eutrophication, land use, minerals, and fossil

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fuels), and these can then be further classified as three main damage categories (i.e.,

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human health, ecosystem quality, and resource damage) [34].

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In this study, the built-in Cumulative Energy Demand (CED) model of SimaPro 7.1 LCA software was used for net energy analysis to understand the energy balance of

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offshore wind power. The CED model comprises three steps: (1) characterization, (2)

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weighting, and (3) single score calculation. The inventory results were classified as five

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categories and converted to the same unit. Each impact category was assigned a

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weighting factor of 1 to obtain a total CED. The CED can be presented as a single score

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point (Pt) [34]. In addition to the CED model, the net energy indicators of EROI and

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EPT of offshore wind power systems were studied.

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3. Results and discussion

3.1 Life cycle assessment

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In this study, Scenarios 1 and 2 adopted Vestas V80 (2.0 MW) wind turbines, which are composed of three blades as well nacelles, a tower, and a mono-pile

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foundation. Approximately 430 tonnes of materials were assumed to be used per wind

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turbine. The materials used to construct a wind turbine are shown in Fig. 2. Wind

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turbines are composed mainly of ferrous metal materials (89.81%), of which the

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proportions of reinforcing steel, steel, and cast iron are 47.58%, 38.27%, and 3.96%,

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respectively. Nonferrous metal materials account for only 0.41% of wind turbines and

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primarily include aluminum, copper, and lead. Additionally, 3.20% of wind turbines are

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composed of synthetic materials, including glass fibers (used for the blades) and epoxy

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resins. Moreover, 6.58% of wind turbines are composed of other materials, which are

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primarily the water used in the manufacturing process and lubricants used in the cabins.

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In addition, the manufacturing process also consumes energy, such as electricity and

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natural gas.

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Fig. 2

Material shares of a wind turbine.

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The characterization results of offshore wind turbines verified that, in all

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categories, the greatest environmental impact was attributable to the use of ferrous

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metal materials. Most of the ferrous metal was steel used for foundation installation,

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followed by steel used for tower and nacelle installation. The synthetic materials

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contributed to a higher impact proportion on the land use category, which was

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attributable to the use of alkyd resin that was used for the painting of the foundation and

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tower. The alkyd resin was made from polyacid, polyalcohol, and soybean oil. The

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planting of soybeans requires land, which explains why the impact on the land use

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category was high.

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The results of damage assessment were similar to those of characterization. The

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highest impact in each category was attributable to the use of ferrous metal, particularly

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in the human health and ecosystem quality categories. This can be explained by the

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inventory data. The use of ferrous metal requires extensive pickling and leads to high

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dust emissions. Workers may thus inhale acidic gases and dusts, resulting in damage to

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respiratory organs in the human body. In the resource damage category, the relatively

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high impact was attributable to the use of fuels and synthetic materials. The process of

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steel rolling consumes a large amount of natural gas and thus results in resource

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damage.

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The single score results of offshore wind turbines are illustrated in Fig. 3. The total

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single score (i.e., the total environmental impact) proportion of the resources and fuels,

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from highest to lowest, were reinforcing steel (45.77%), steel (22.89%), synthetic

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materials (12.50%), energy use (11.47%), cast iron (3.91%), nonferrous metal (2.90%),

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and other parts (0.56%). The use of ferrous metal materials (including steel, reinforcing

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steel, and cast iron) thus produced a total single score proportion as high as

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approximately 73%. The main impact categories with higher single scores were fossil

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fuels and respiratory inorganics, which were primarily attributable to the use of steel

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and synthetic materials as well as electricity.

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Fig. 3

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3.1.1 Scenario 1

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Single scores of offshore wind turbines.

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The single scores of Scenario 1 for the offshore wind power system are shown in Fig. 4. The environmental impact of the stages throughout the life cycle, from highest to

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lowest, were production (35.5%), installation (34.2%), EOL (16.6%), and O&M

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(13.7%). The impact categories with higher single scores were fossil fuels and

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respiratory inorganics, which were mainly attributable to the use of steel material,

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electricity, and oil for transportation vessels. Moreover, the environmental impact for

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the ecotoxicity and minerals categories was mainly attributable to the copper used in the

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electrical transmission cables.

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Fig. 4

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Single scores of Scenario 1.

The production stage of the offshore wind power system included the production

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of wind turbines and transmission systems, the former of which caused a major impact.

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Furthermore, the main impact sources, from highest to lowest, were the production of

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the foundation, tower, nacelles, and blades. At the installation stage, fuel consumption

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associated with land transportation, maritime transportation, and construction operations

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was considered. The impact of vessels and machines was primarily attributable to their

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fuel consumption, and thus the impact of fossil fuels, minerals, and respiratory

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inorganics was much higher than that of other categories. The vessels used for scour

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protection of the foundation were a substantial source of impact at the installation stage.

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Furthermore, the impact of the tugboats used for wind turbine and foundation

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transportation and construction, the cranes used for foundation installation, and the

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vessels used for submarine cable transportation was also crucial. Overall, foundation

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installation had the highest proportion of total impact (70.9%), followed by wind

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turbine installation (24.7%). The proportions of total impact from cable installation

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(2.98%) and land transportation (1.4%) were much lower.

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3.1.2 Scenario 2

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The distinction between Scenarios 1 and 2 was the transmission system. In the transmission system of Scenario 2, the offshore substation had the highest impact,

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followed by 150 kV and 32 kV submarine cables. The most substantial impact occurred

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in the categories of, from highest to lowest, fossil fuels, respiratory inorganics, minerals,

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and climate change. The main source of impact was the large amount of concrete used

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for offshore substation construction, which affected fossil fuels, respiratory inorganics,

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and climate change. Moreover, the copper content in the submarine cables had impact

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on minerals, respiratory inorganics, climate change, and ecotoxicity.

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The vessels used for scour protection of the foundation caused the highest impact, followed by the tugboats used for wind turbine and foundation transportation and

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construction, the cranes used for foundation construction, the jack-up vessels used for

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foundation and substation installation, and the vessels used for submarine cable

386

transportation. Overall, foundation installation had the highest proportion of total

387

impact (70.4%), followed by wind turbine installation (24.5%). The proportions of total

388

impact from transmission system installation (3.62%) and land transportation (1.48%)

389

were not as substantial.

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390 391

The single scores of Scenario 2 for the offshore wind power system are shown in Fig. 5. The environmental impact of production, installation, O&M, and EOL was

393

40.8%, 31.3%, 12.7%, and 15.3%, respectively. The main impact was observed in the

394

categories of fossil fuels and respiratory inorganics, which was primarily attributable to

395

the use of steel material, electricity, and fuel for transportation. The impact in the

396

categories of ecotoxicity and minerals was mainly attributable to the copper used in the

397

submarine cables and steel used in the wind turbines. Moreover, the impact on climate

398

change was attributable to the concrete used for the construction of the offshore

399

substation. In general, the single score of Scenario 2 (0.00139 Pt) was higher than that

400

of Scenario 1 (0.00126 Pt) by approximately 10%. However, after considering the

401

effectiveness of the reduction in electricity transmission loss, Scenario 2 may still be

402

feasible.

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404 405

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Fig. 5

Single scores of Scenario 2.

406 20

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407

3.1.3 Recycling benefit

408 409

According to the aforementioned results of LCA on the two offshore wind power systems, the ferrous metals used for wind turbines and copper, iron, and lead used for

411

submarine cables were the primary sources of environmental impact. In this study, the

412

ferrous metals (including steel, reinforcing steel, and cast iron) and nonferrous metals

413

(including copper, aluminum, and lead) were assumed to be recyclable. The recycling

414

rate was assumed to be 90%. Although the transmission system of Scenario 2 requires

415

more materials than that of Scenario 1, most of the materials can be recycled at the EOL

416

stage of the offshore wind power system. This indicates that, if the benefit of material

417

recycling is considered, environmental impact can be lower regardless of whether a

418

substation is installed. The overall environmental impact of Scenarios 1 and 2 can thus

419

be reduced by approximately 25% because of the recycling of waste materials.

MA

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421

3.2 Net energy analysis

424 425

3.2.1 Cumulative energy demand

CE

423

PT

422

ED

420

CED is a calculation of the total energy input for an energy system throughout its life. Therefore, a CED analysis of an offshore wind power system must consider the

427

overall energy consumed at the production, installation, O&M, and EOL stages. The

428

CED shares of the four stages are shown in Fig. 6; 46% and 51% of the total energy

429

demand was required at the production stage for Scenarios 1 and 2, respectively. Nearly

430

half of the overall energy demand was thus attributable to the production of wind

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431

turbines. The energy demand at the installation stage was 27% and 24% for Scenarios 1

432

and 2, respectively. The energy input at the O&M and EOL stages was nearly the same

433

and constituted approximately 13% of the overall energy input.

MA

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435

Fig. 6

437

Scenario 1 included 52 offshore wind turbines and two 32 kV submarine power

PT

438

CED shares.

ED

436

transmission cables. The 1 kWh electricity output from Scenario 1 in the life cycle

440

required 0.192 MJ energy input. When considering the recycling of waste materials, the

441

energy input was reduced by approximately 30%, thus totaling 0.135 MJ. Scenario 2

442

included 52 offshore wind turbines, one substation, and one 150 kV submarine power

443

transmission cable. The 1 kWh electricity output from Scenario 2 in the life cycle

444

required 0.216 MJ energy input, which was higher than that in Scenario 1 by 12.5%.

445

When the recycling of waste materials was considered, the energy input was reduced to

446

0.155 MJ, which was approximately 28% of the overall energy demand.

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448

3.2.2 Energy return on investment

449 EROI represents the ratio of energy output to energy input and is a crucial

451

indicator of potential energy benefit to society [35]. The EROI of an offshore wind

452

power system is the energy output from wind turbines divided by the required energy

453

input. EROI is thus dimensionless, and a higher EROI value indicates that more net

454

energy can be obtained. The EROI of Scenario 1 was 18.7. It increased to 26.7 when the

455

recycling of waste materials was considered. The EROI of Scenario 2 was 16.7, and it

456

increased to 23.2 with waste recycling. The EROI of Scenario 2 was lower primarily

457

because of the installation of an offshore substation. Kubiszewski et al. showed an

458

average EROI in all of their studies (operational and conceptual) of 25.2 and an average

459

EROI in only the operational studies of 19.8 [18]. The EROI determined in this study

460

should thus be reasonable and reliable. In addition, Hall et al. found that the minimum

461

EROI is 3 for industrial societies [36], suggesting that no more than 33% of social and

462

economic resources are required for energy production without undermining the

463

sustainability of the societies. Offshore wind power development is thus warranted

464

because of its high EROI, particularly when waste materials are adequately recycled.

467 468

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466

3.2.3 Energy payback time

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EPT represents the time required when the energy output of an offshore wind

469

power system equals the energy input at its production, installation, O&M, and EOL

470

stages. A lower EPT value indicates that energy input and output can be balanced in a

471

shorter time. Therefore, EPT should be as low as possible for economic efficiency. In

23

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this study, 52 2.0 MW offshore wind turbines were assumed to work for 3,000

473

equivalent full-load hours per year, which theoretically could produce electricity of

474

6,240 GWh in 20 years. Based on this energy output, the EPT of Scenarios 1 and 2 was

475

12.8 and 14.4 months, respectively. When the recycling of waste materials was

476

considered, the EPT of Scenarios 1 and 2 was shortened to 9.0 and 10.3 months,

477

respectively. Because of the installation of an offshore substation, more energy and

478

resources were consumed in Scenario 2, and thus its EPT was approximately 1.5 months

479

longer than that of Scenario 1. Furthermore, for Scenarios 1 and 2, the EPT was

480

approximately 4 months shorter when the waste materials were properly recycled.

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481

Martinez et al. reported that the EPT of a 2 MW onshore wind turbine running for

MA

482

2,000 equivalent full-load hours per year is 4.8 months [37]. According to Wagner et

484

al., the EPT of a 5 MW offshore wind turbine running for 3,000 equivalent full-load

485

hours per year is 8.8 months [19]. Furthermore, Garrett and Ronde found that the EPT

486

of Vestas 2 MW wind turbines ranges from 8 to 11 months depending on wind turbine

487

model and wind speed [38]. The EPT in this study was slightly longer than those in the

488

aforementioned studies. This could be attributable to the difference in the location and

489

meteorology of wind farms, type and model of wind turbines, operation time and

490

frequency, and other factors relating to system boundaries and conditions. However, the

491

EPT of offshore wind power systems should be lower when considering the recycling of

492

waste materials.

494

PT

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493

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483

3.3 Sensitivity analysis

495

24

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496

Sensitivity analysis is helpful in determining the impact of selected variables as they are changed [15]. In this study, four factors substantially influenced the impact of

498

offshore wind power systems: power capacity, distance from shore, steel consumption,

499

and electrical consumption. The results of sensitivity analysis, including the variations

500

in single score and CED, are listed in Table 3. In this study, power capacity most

501

influenced the environmental impact of offshore wind power systems. A 10% increase

502

in power capacity led to an approximately 10% decrease in environmental impact, and a

503

10% decrease in power capacity led to an approximately 10% increase in environmental

504

impact. Steel consumption was also substantial because of its direct influence on energy

505

and material consumption. The factors of distance from shore and electrical

506

consumption were not as substantial as the aforementioned factors. When the two

507

factors were increased or reduced by 20%, the variations in both single score and CED

508

were approximately 1%. For offshore wind power systems, the most crucial factors may

509

thus include wind condition, power generation performance, and operation time and

510

frequency.

ED

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Table 3 Sensitivity analysis of the offshore wind power system. Single score

CED

variation

variation

variation

Power capacity

+10%

–10%

–9%

–10%

+10%

+11%

+20%

+0.8%

+0.6%

+100%

+3.4%

+1.5%

Steel consumption

+20%

+5%

+6%

–20%

–5%

–6%

+20%

+0.75%

+1.5%

CE

Parameter

AC

512

PT

511

Distance from shore

Electrical consumption

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–20%

–0.75%

–1.5%

513 514

4. Conclusions

516

NU SC RI PT

515 To evaluate the environmental burden and energy balance of offshore wind power, this study developed and assessed life cycle inventories in two scenarios, which were

518

distinguishable because only one scenario included an offshore substation. The SimaPro

519

7.1 software and Eco-indicator 99 method were applied to perform LCA based on a

520

functional unit of 1 kWh of electricity. Furthermore, this study also involved the

521

calculation of net energy indicators, such as CED, EROI, and EPT. The results show

522

that the factors, including steel material for wind turbines, electricity consumption at the

523

production stage, fuel consumption and air emissions during maritime transportation

524

and construction, and concrete materials for an offshore substation, are the most

525

substantial sources of environmental impact. The overall environmental impact of

526

Scenario 2 was higher than that of Scenario 1. However, after considering the

527

effectiveness of the reduction in electricity transmission loss, Scenario 2 may still be

528

feasible. The environmental impact of offshore wind power systems can be further

529

reduced by lowering the amount of materials used for wind turbines, particularly steel

530

and concrete. Offshore wind power development is warranted because of its high EROI,

531

particularly when waste materials are adequately recycled.

533

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532

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517

Acknowledgments

534 535 536

The authors gratefully acknowledge the financial support from the Ministry of Science and Technology, Taiwan (contract no. 101-ET-E-002-013-ET). 26

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542

[2] Herbert GMJ, Iniyan S, Sreevalsan E, Rajapandian S. A review of wind energy

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Figure captions

622 Fig. 1

Offshore wind power systems.

Fig. 2

Material shares of a wind turbine.

Fig. 3

Single scores of offshore wind turbines.

Fig. 4

Single scores of Scenario 1.

Fig. 5

Single scores of Scenario 2.

Fig. 6

CED shares.

624 625 626 627 628 629

631

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632 633

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636

Appendices

637 Table A.1 The quantities of materials used for the wind power system. Materials

Wind turbine

Transmission

Total

(kg/farm)

(kg/farm)

0

10550800

279362

8766271

0

878701

0

396349

46118

358769

400879

400965

317829

320283

0

82961

0.0092

0

0.4784

202900

1357800

11908600

163210

363876

8850785

16898

68000

946701

7622

0

396349

6013

134228

446879

1.661

451405

451491

47.2

413770

416224

1595

66300

149261

0.0092

1262.2

1262.7

(kg/turbine) Scenario 1 202900

Steel

163210

Cast iron

16898

Glass fiber

7622

Plastic

6013

Lead

1.661

Copper

47.2

Aluminum

1595

MA

Reinforcing steel

Zinc Scenario 2

ED

Reinforcing steel Steel

Plastic Copper

CE

Lead

PT

Cast iron Glass fiber

Aluminum

Zinc * Data based on Ref. [29,30].

AC

639 640

NU SC RI PT

638

33

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643

Table A.2 The numbers of vessels and workdays and the usage of fuels in the installation stage. No. of vessels

Activity Foundation vessel, transport of rock for scour protection vessel, dumping of rock for scour protection jack-up vessel, transport and installation of foundations tugboats, transport of foundations and jack-up vessels

1 1 1 2

Wind turbine

Fuel type*

Fuel rate (L/hr)

Work days

6250

HFO

360

182

3700

HFO

210

208

1500

HFO

87

52

10000

MGO

320

104

1

2750

HFO

160

52

10000

MGO

320

104

13000 7200

MGO MGO

450 360

9 41

MA

crane vessel, installation of wind turbines tugboats, transport and installation of wind turbines

Engine power (kW)

NU SC RI PT

642

2

ED

Electrical connections (Scenario 1) cable lay vessel with plough vessel, tie-in of cables

1 1

PT

Electrical connections (Scenario 2, including a substation)

644 645

AC

CE

cable lay vessel with plough 1 vessel, tie-in of cables 1 jack-up vessel, transport and installation of foundations 1 (substation) tugboats, transport of jack-up 2 vessel, etc. crane vessel, installation of 1 substation topside * HFO: heavy fuel oil; MGO: marine gas oil. ** Data based on Ref. [20,31].

34

130000 7200

MGO MGO

450 360

7.5 33.5

1500

HFO

87

11

10000

MGO

320

6

2750

HFO

160

11

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648

Table A.3 The numbers of vessels and workdays and the usage of fuels in the O&M stage. No. of vessels

Activity Wind Turbine support vessel, maintenance of wind turbines crane vessel, replacement of large parts

1 1

Electrical connections (Scenario 1) vessel, inspection of cables

1

Engine power (kW)

Fuel type*

Fuel rate (L/hr)

Work days

2000

MGO

99

650

2750

HFO

160

48

2000

MGO

99

211

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647

Electrical connections (Scenario 2, including a substation) 2000

MGO

99

173

2000

MGO

99

75

MA

ED PT CE AC

649 650 651

vessel, inspection of cables 1 vessel for maintenance of 1 substation * HFO: heavy fuel oil; MGO: marine gas oil. ** Data based on Ref. [20,31].

35

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654

Table A.4 The numbers of vessels and workdays and the usage of fuels in the EOL stage. No. of vessels

Activity/vessel Foundation jack-up vessel, dismantling and transportation of foundations tugboats, transport of foundations and jack-up vessels

1 2

Wind Turbine crane vessel, dismantling of wind turbine tugboats, dismantling and transport of wind turbines

1 2

Fuel type*

Fuel rate (L/hr)

Work time (day)

1500

HFO

87

52

10000

MGO

320

104

2000

HFO

160

52

10000

MGO

320

104

MGO

450

9

MA

Electrical connections (Scenario 1) vessel, removal of cables

Engine power (kW)

NU SC RI PT

653

1

13000

Electrical connections (Scenario 2, including a substation)

CE AC

655 656 657

PT

ED

vessel, removal of cables 1 jack-up vessel, dismantling and 1 transportation of foundations tugboats, transport of 2 foundations and jack-up vessels * HFO: heavy fuel oil; MGO: marine gas oil. ** Data based on Ref. [20,31].

36

13000

MGO

450

9

1500

HFO

87

11.

10000

MGO

320

6