An optimization method for energy structures based on life cycle assessment and its application to the power grid in China.
Abstract The optimization of energy structures, aimed at saving energy and reducing emissions, is an important precautionary measure against climate change. This study considers different environmental impacts of power systems, and investigates ways to optimize power structures and decrease their po...
| Publicado en: | Journal of Environmental Management Vol. 238; pp. 18 - 25 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
May2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=135513920&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 135513920 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: May2019 vid: 238 pid: 735 pub: Academic Press Inc. artinfo: ui: 135513920 10.1016/j.jenvman.2019.02.072 ppf: 18 ppct: 7 formats: tig: atl: An optimization method for energy structures based on life cycle assessment and its application to the power grid in China. aug: au: Ding, Ning Pan, Jingjin Liu, Jingru Yang, Jianxin affil: State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China University of Chinese Academy of Sciences, Beijing, 100049, China su: China Nuclear energy Solar energy Electric power distribution grids Electric power production Wind power Raw materials sug: subj: Nuclear energy Solar energy China Fossil Fuel Electric Power Generation Nuclear Electric Power Generation Other Farm Product Raw Material Merchant Wholesalers Solar Electric Power Generation Other electric power generation Wind Electric Power Generation Electric power distribution grids Electric power production Wind power Raw materials keyword: Greenhouse gas emissions Life cycle assessment Material input Power structure Water deprivation Greenhouse gas emissions Life cycle assessment Material input Power structure Water deprivation ab: Abstract The optimization of energy structures, aimed at saving energy and reducing emissions, is an important precautionary measure against climate change. This study considers different environmental impacts of power systems, and investigates ways to optimize power structures and decrease their potential environmental impact. A multi-objectives optimization model of energy structures was created based on life cycle assessment (LCA). This model covers several environment impacts, rather than only focusing on carbon emissions. LCA was used to calculate the different environmental impacts and provided a new method for normalization. The model was applied to the power industry in China. Three kinds of environmental impacts were considered: material input (MI), global warming potential (GWP), and water deprivation (WD). The five major existing methods of electricity generation in China were considered: thermal power, nuclear power, hydro power, wind power, and solar photovoltaic power. The system boundary included all life cycle stages; specifically, extraction of raw materials and resources, production, energy generation processes, and power transport. The optimization results showed that the total environmental impacts were reduced; MI, GWP, and WD were decreased by 29.53%, 29.67%, and 19.06%, respectively. This method provides new insights into optimization of energy structures by considering multi-environment impacts. Highlights • An optimization model for energy structures based on LCA was established. • This study provides reduction way of multiple environment impacts for energy system. • A novel and expanding application of LCA methodology was provided. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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