Community-scale renewable energy systems planning under uncertainty—An interval chance-constrained programming approach

In this study, an inexact community-scale energy model (ICS-EM) has been developed for planning renewable energy management (REM) systems under uncertainty. This method is based on an integration of the existing interval linear programming (ILP), chance-constrained programming (CCP) and mixed intege...

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Veröffentlicht in:	Renewable & sustainable energy reviews Jg. 13; H. 4; S. 721 - 735
Hauptverfasser:	Cai, Y.P., Huang, G.H., Yang, Z.F., Lin, Q.G., Tan, Q.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.05.2009 Elsevier
Schriftenreihe:	Renewable and Sustainable Energy Reviews
Schlagworte:	Applied sciences Community Community Decision making Energy systems Environment Greenhouse gas Management Renewable energy Uncertainty Cost engineering Decision making Economic data Energy Energy consumption Energy economics Energy of formation Energy policy Energy systems Environment Exact sciences and technology General, economic and professional studies Greenhouse gas Intervals Management Mathematical models Methodology. Modelling Natural energy Programming Renewable energy Uncertainty Asia China Energy systems Uncertainty Renewable energy Decision making Greenhouse gas Environment Management Community Methodology Linear programming Mixed integer programming Constrained optimization Case study Integrated system Planning Energy management
ISSN:	1364-0321, 1879-0690
Online-Zugang:	Volltext
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