DOI: 10.1016/j.renene.2019.10.010
论文题名: Design of domestic photovoltaics manufacturing systems under global constraints and uncertainty
作者: Santibañez-Aguilar J.E. ; Castellanos S. ; Flores-Tlacuahuac A. ; Shapiro B.B. ; Powell D.M. ; Buonassisi T. ; Kammen D.M.
刊名: Renewable Energy
ISSN: 9601481
出版年: 2020
卷: 148 语种: 英语
英文关键词: Expected value
; Manufacturing photovoltaics system
; Multi-objective optimization
; Solar photovoltaics
; Uncertainty
; Worst case
Scopus关键词: Costs
; Decision making
; Environmental management
; Mathematical programming
; Multiobjective optimization
; Solar power generation
; Supply chains
; Sustainable development
; Uncertainty analysis
; Economic and environmental performance
; Expected values
; Manufacturing strategy
; Photovoltaics systems
; Solar photovoltaics
; Transportation capacity
; Uncertainty
; Weighted average cost of capitals
; Manufacture
; economic conditions
; manufacturing
; methodology
; optimization
; photovoltaic system
; policy development
; political discourse
; solar power
; sustainability
; uncertainty analysis
英文摘要: As global political discourse is taking place where the need for a cleaner energy mix is constantly highlighted, manufacturing strategies are becoming more relevant. Thus, the photovoltaics system design is a crucial aspect related with the overall sustainability. In fact, various countries are considering the potential to locally manufacture different elements of the photovoltaics (PV) value chain and the strategies to incentivize a local manufacturing base. This paper develops a mathematical programming approach for the optimal design of a PV manufacturing value chain considering diverse criteria linked to economic and environmental performance such as minimum sustainable price, transportation capacity, among others, and considering uncertainty. In addition, the proposed methodology involves the dependence over time of supply chain variables and economic parameters such as inflation, electricity cost, and weighted average cost of capital, to determine the manufacturing system topology under uncertain conditions. Our results highlight the importance of planning models to develop markets policies related to supply chains, production level changes and imposed tariffs all while involving uncertainty in economic parameters, which is an improvement compared to planning models that use deterministic formulations. Finally, the proposed methodology and results can encourage decision-making considering probable variations in different parameters. © 2019 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158487
Appears in Collections: 气候变化与战略
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作者单位: School of Engineering and Science, Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501, Monterrey, 64849, Mexico; Energy and Resources Group and Berkeley Energy and Climate Institute, University of California, Berkeley, 94708, United States; California Institute for Energy & Environment, University of California, Berkeley, 94708, United States; Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, United States; Goldman School of Public Policy, University of California, Berkeley, CA 94708, United States; E3 Consulting, United States; Independent Consultant, United States
Recommended Citation:
Santibañez-Aguilar J.E.,Castellanos S.,Flores-Tlacuahuac A.,et al. Design of domestic photovoltaics manufacturing systems under global constraints and uncertainty[J]. Renewable Energy,2020-01-01,148