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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Renewable & sustainable energy reviews Ročník 13; číslo 4; s. 721 - 735
Hlavní autoři:	Cai, Y.P., Huang, G.H., Yang, Z.F., Lin, Q.G., Tan, Q.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier Ltd 01.05.2009 Elsevier
Edice:	Renewable and Sustainable Energy Reviews
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!