Site-specific life cycle assessment of a pilot floating offshore wind farm based on suppliers' data and geo-located wind data

被引:31
作者
Poujol, Baptiste [1 ]
Prieur-Vernat, Anne [2 ]
Dubranna, Jean [3 ]
Besseau, Romain [3 ]
Blanc, Isabelle [3 ]
Perez-Lopez, Paula [3 ]
机构
[1] ENGIE Green Business Unit France Renouvelables, Montpellier, France
[2] ENGIE Lab Crigen, St Denis, France
[3] PSL Univ, Ctr Observat, MINES ParisTech, Impacts,Energie OIE, Sophia Antipolis, France
关键词
floating offshore wind farm; geo-located mode; industrial ecology; life cycle assessment; renewable energy; wind energy; ENERGY; POWER; REANALYSIS; FOOTPRINT; TURBINES; IMPACTS; ONSHORE; LCA;
D O I
10.1111/jiec.12989
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Renewable energy systems are essential in coming years to ensure an efficient energy supply while maintaining environmental protection. Despite having low environmental impacts during operation, other phases of the life cycle need to be accounted for. This study presents a geo-located life cycle assessment of an emerging technology, namely, floating offshore wind farms. It is developed and applied to a pilot project in the Mediterranean Sea. The materials inventory is based on real data from suppliers and coupled to a parameterized model which exploits a geographic information system wind database to estimate electricity production. This multi-criteria assessment identified the extraction and transformation of materials as the main contributor to environmental impacts such as climate change (70% of the total 22.3 g CO2 eq/kWh), water use (73% of 6.7 L/kWh), and air quality (76% of 25.2 mg PM2.5/kWh), mainly because of the floater's manufacture. The results corroborate the low environmental impact of this emerging technology compared to other energy sources. The electricity production estimates, based on geo-located wind data, were found to be a critical component of the model that affects environmental performance. Sensitivity analyses highlighted the importance of the project's lifetime, which was the main parameter responsible for variations in the analyzed categories. Background uncertainties should be analyzed but may be reduced by focusing data collection on significant contributors. Geo-located modeling proved to be an effective technique to account for geographical variability of renewable energy technologies and contribute to decision-making processes leading to their development.
引用
收藏
页码:248 / 262
页数:15
相关论文
共 46 条
[1]  
ADEME, 2015, IMP ENV EOL FRANC
[2]  
[Anonymous], 2019, IMPL PARC EOL FLOTT
[3]   Assessing the life cycle environmental impacts of wind power: A review of present knowledge and research needs [J].
Arvesen, Anders ;
Hertwich, Edgar G. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (08) :5994-6006
[4]  
Birkeland C., 2011, Assessing the life cycle environmental impacts of offshore wind power generation and power transmission in the North Sea
[5]  
Blanc I., 2012, ENVIROINFO 2012 26 I
[6]   Life cycle assessment of onshore and offshore wind energy-from theory to application [J].
Bonou, Alexandra ;
Laurent, Alexis ;
Olsen, Stig I. .
APPLIED ENERGY, 2016, 180 :327-337
[7]   A suitable metocean hindcast database for the design of Marine energy converters [J].
Boudiere, Edwige ;
Maisondieu, Christophe ;
Ardhuin, Fabrice ;
Accensi, Mickael ;
Pineau-Guillou, Lucia ;
Lepesqueur, Jeremy .
INTERNATIONAL JOURNAL OF MARINE ENERGY, 2013, 3-4 :E40-E52
[8]   The WULCA consensus characterization model for water scarcity footprints: assessing impacts of water consumption based on available water remaining (AWARE) [J].
Boulay, Anne-Marie ;
Bare, Jane ;
Benini, Lorenzo ;
Berger, Markus ;
Lathuilliere, Michael J. ;
Manzardo, Alessandro ;
Margni, Manuele ;
Motoshita, Masaharu ;
Nunez, Montserrat ;
Pastor, Amandine Valerie ;
Ridoutt, Bradley ;
Oki, Taikan ;
Worbe, Sebastien ;
Pfister, Stephan .
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2018, 23 (02) :368-378
[9]   Status, plans and technologies for offshore wind turbines in Europe and North America [J].
Breton, Simon-Philippe ;
Moe, Geir .
RENEWABLE ENERGY, 2009, 34 (03) :646-654
[10]  
BRLi, 2015, BIL CARB PARC EOL DI