Energy planning of a hospital using Mathematical Programming and Monte Carlo simulation for dealing with uncertainty in the economic parameters

For more than 40 years, Mathematical Programming is the traditional tool for energy planning at the national or regional level aiming at cost minimization subject to specific technological, political and demand satisfaction constraints. The liberalization of the energy market along with the ongoing...

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Veröffentlicht in:	Energy conversion and management Jg. 51; H. 4; S. 722 - 731
Hauptverfasser:	Mavrotas, George, Florios, Kostas, Vlachou, Dimitra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.04.2010 Elsevier
Schlagworte:	Applied sciences Computer simulation Economic data Electric energy Energy Energy consumption Energy economics Energy planning Energy policy Exact sciences and technology General, economic and professional studies Marketing Mathematical models Mathematical Programming Methodology. Modelling MILP Monte Carlo Monte Carlo methods Uncertainty Greece Europe Uncertainty MILP Monte Carlo Mathematical Programming Energy planning Cost minimization Monte Carlo method Energy cost Cooling Energetic system Methodology Cogeneration Power production Tertiary activities Economic optimization Heat production Restructuration Constrained optimization Case study Production cost Hospital Planning Electric power production Energy management Mathematical programming
ISSN:	0196-8904, 1879-2227
Online-Zugang:	Volltext
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