A copula-based flexible-stochastic programming method for planning regional energy system under multiple uncertainties: A case study of the urban agglomeration of Beijing and Tianjin

A copula-based flexible-stochastic programming method for planning regional energy system under... Applied Energy 210 (2018) 60–74 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy A copula-based flexible-stochastic programming method for planning regional energy system under multiple uncertainties: A case study of the urban agglomeration of Beijing and Tianjin a,b a,c, a,c c d L. Yu , Y.P. Li , G.H. Huang , Y.R. Fan , S. Nie Department of Environmental Engineering, Xiamen University of Technology, Xiamen 361024, China Sino-Canada Energy and Environmental Research Center, North China Electric Power University, Beijing 102206, China Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Sask. S4S 7H9, Canada Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON M5S 1A4, Canada HIGHLIGHTS GR APHICAL A BSTRACT A copula-based flexible-stochastic programming (CFSP) method is pro- posed. CFSP can handle multiple un- certainties and reflect interaction of random variables. It is applied to planning RES of the urban agglomeration of Beijing and Tianjin. Scenarios of various joint- and in- dividual constraint-violation levels are selected. Results can provide in-depth analysis for identifying desired decision schemes. ARTICLE I NFO ABSTRACT Keywords: In this study, a copula-based flexible-stochastic programming (CFSP) method is developed for planning regional Copula energy system (RES). CFSP can deal http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Energy Elsevier

A copula-based flexible-stochastic programming method for planning regional energy system under multiple uncertainties: A case study of the urban agglomeration of Beijing and Tianjin

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0306-2619
D.O.I.
10.1016/j.apenergy.2017.10.099
Publisher site
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Abstract

Applied Energy 210 (2018) 60–74 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy A copula-based flexible-stochastic programming method for planning regional energy system under multiple uncertainties: A case study of the urban agglomeration of Beijing and Tianjin a,b a,c, a,c c d L. Yu , Y.P. Li , G.H. Huang , Y.R. Fan , S. Nie Department of Environmental Engineering, Xiamen University of Technology, Xiamen 361024, China Sino-Canada Energy and Environmental Research Center, North China Electric Power University, Beijing 102206, China Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Sask. S4S 7H9, Canada Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON M5S 1A4, Canada HIGHLIGHTS GR APHICAL A BSTRACT A copula-based flexible-stochastic programming (CFSP) method is pro- posed. CFSP can handle multiple un- certainties and reflect interaction of random variables. It is applied to planning RES of the urban agglomeration of Beijing and Tianjin. Scenarios of various joint- and in- dividual constraint-violation levels are selected. Results can provide in-depth analysis for identifying desired decision schemes. ARTICLE I NFO ABSTRACT Keywords: In this study, a copula-based flexible-stochastic programming (CFSP) method is developed for planning regional Copula energy system (RES). CFSP can deal

Journal

Applied EnergyElsevier

Published: Jan 15, 2018

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