Life cycle assessment tool of electricity generation in Portugal

被引:0
|
作者
António A. Martins
Marta Simaria
Joaquim Barbosa
Ricardo Barbosa
Daniela T. Silva
Cristina S. Rocha
Teresa M. Mata
Nídia S. Caetano
机构
[1] University of Porto (FEUP),LEPABE – Laboratory for Process Engineering, Environment, Biotechnology and Energy, Faculty of Engineering
[2] Polytechnic Institute of Porto (IPP),CIETI, Department of Chemical Engineering, School of Engineering (ISEP)
[3] INEGI – Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial,undefined
[4] LNEG – Laboratório Nacional de Energia e Geologia,undefined
[5] I.P.,undefined
关键词
Computational tool; Electricity generation; Environmental impact; Life cycle assessment; Portugal;
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学科分类号
摘要
This article presents and describes the LCA4Power tool, developed in this work to assess the potential environmental impacts, as, for example, the contribution to global warming, of electricity generation in continental Portugal, not considering the Madeira and Azores archipelagos. Based on a life cycle perspective, the tool considers the life cycles of various available technologies for producing electricity, on a cradle-to-gate perspective, excluding distribution and final use. It was implemented in MS Excel™ using emission factors obtained from the literature and other sources, instead of raw life cycle inventory data. The current version of the tool includes wind and hydroelectric power as renewable energy sources, and thermal and combined heat and power generation from fossil fuels as non-renewable energy sources. The combination of the aforementioned electricity generation technologies is responsible for more than 90% of the electricity generated in continental Portugal. Results were validated comparing the tool’s predictions with data from other LCA studies of electricity production, showing a good agreement, in particular for the greenhouse gas emissions. As added value, this tool provides a user-friendly way of simulating the potential environmental impacts of different endogenous energy mixes in Portugal, thus support decision making and communication. Future developments of the tool will include other technologies for electricity generation and its application to support decision making through the analysis of future scenarios for electricity generation in Portugal.
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页码:129 / 143
页数:14
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