Dynamic life cycle assessment of European electricity generation based on a retrospective approach

被引:8
作者
Naumann, Gabriel [1 ]
Famiglietti, Jacopo [2 ]
Schropp, Elke [1 ]
Motta, Mario [2 ]
Gaderer, Matthias [1 ]
机构
[1] Techn Univ Munich, Professorship Regenerat Energy Syst, Campus Biotechnol & Sustainabil, D-94315 Straubing, Germany
[2] Politecn Milan, Dept Energy, I-20156 Milan, Italy
关键词
Dynamic life cycle assessment; Electricity mix modeling; Hourly profiles; Environmental impact; Energy system; GREENHOUSE-GAS EMISSIONS; ENVIRONMENTAL IMPACTS; VEHICLES; MIX; LCA;
D O I
10.1016/j.enconman.2024.118520
中图分类号
O414.1 [热力学];
学科分类号
摘要
The composition of electricity varies significantly throughout the year. As a result, the environmental impact of the electricity mix is also highly variable. However, most LCA studies assume a static annual average electricity mix and neglect these fluctuations. Therefore, this study examines the time-varying environmental impacts of electricity generation in Germany, France, Italy, Spain, and Poland using a dynamic life cycle assessment. It shows that the impacts of environmental categories vary considerably depending on when the electricity is generated, resulting from the different energy generation patterns throughout the day and year. In particular, the integration of renewable energy sources such as photovoltaic systems and wind turbines leads to significant fluctuations of environmental impacts. To determine the magnitude of the variation, coefficients of variation are calculated for each environmental impact category for a representative year. High coefficients of variation of more than 20% can be observed for several environmental impact categories. In addition, both a productionbased and a consumption-based approach were used for the dynamic life cycle assessment. Comparing these two approaches shows significant differences in impact category results, for example, for Italy, with an average of 15%. These differences highlight the importance of including cross-border electricity flows in assessing the environmental profile of electricity. Overall, the results of the study emphasize the need to implement dynamic electricity mix models in life cycle assessments, especially for systems with time-varying electricity consumption. The provided Excel spreadsheet files with hourly time profiles of environmental impacts for the countries studied facilitate the adoption of the developed models by other practitioners and provide a valuable tool for assessing environmental impacts.
引用
收藏
页数:11
相关论文
共 50 条
[1]   Life cycle burden-shifting in energy systems designed to minimize greenhouse gas emissions: Novel analytical method and application to the United States [J].
Algunaibet, Ibrahim M. ;
Guillen-Gosalbez, Gonzalo .
JOURNAL OF CLEANER PRODUCTION, 2019, 229 :886-901
[2]  
Andreasi Bassi S., 2023, Updated characterisation and normalisation factors for the Environmental Footprint 3.1 method JRC130796
[3]   Life cycle assessment of hydrogen from proton exchange membrane water electrolysis in future energy systems [J].
Bareiss, Kay ;
de la Rua, Cristina ;
Moeckl, Maximilian ;
Hamacher, Thomas .
APPLIED ENERGY, 2019, 237 :862-872
[4]   Life cycle assessment of electricity generation: a review of the characteristics of existing literature [J].
Barros, Murillo Vetroni ;
Salvador, Rodrigo ;
Piekarski, Cassiano Moro ;
de Francisco, Antonio Carlos ;
Freire, Fausto Miguel Cereja Seixas .
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2020, 25 (01) :36-54
[5]   The environmental performance of current and future passenger vehicles: Life cycle assessment based on a novel scenario analysis framework [J].
Bauer, Christian ;
Hofer, Johannes ;
Althaus, Hans-Joerg ;
Del Duce, Andrea ;
Simons, Andrew .
APPLIED ENERGY, 2015, 157 :871-883
[6]   Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling [J].
Bokde, Neeraj Dhanraj ;
Tranberg, Bo ;
Andresen, Gorm Bruun .
APPLIED ENERGY, 2021, 281
[7]   Comparing empirical and model-based approaches for calculating dynamic grid emission factors: An application to CO2-minimizing storage dispatch in Germany [J].
Braeuer, Fritz ;
Finck, Rafael ;
McKenna, Russell .
JOURNAL OF CLEANER PRODUCTION, 2020, 266
[8]  
Bundeszentrale fur politische Bildung, 2023, Atomausstieg - Deutschland verabschiedet sich endgultig von der Kernkraft
[9]   Dynamic Life Cycle Assessments of a Conventional Green Building and a Net Zero Energy Building: Exploration of Static, Dynamic, Attributional, and Consequential Electricity Grid Models [J].
Collinge, William O. ;
Rickenbacker, Harold J. ;
Landis, Amy E. ;
Thiel, Cassandra L. ;
Bilec, Melissa M. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2018, 52 (19) :11429-11438
[10]   Systematic Literature Review on Dynamic Life Cycle Inventory: Towards Industry 4.0 Applications [J].
Cornago, Simone ;
Tan, Yee Shee ;
Brondi, Carlo ;
Ramakrishna, Seeram ;
Low, Jonathan Sze Choong .
SUSTAINABILITY, 2022, 14 (11)