Distributed energy resource system optimisation using mixed integer linear programming

In this study a mixed integer linear programming (MILP) model is created for the design (i.e. technology selection, unit sizing, unit location, and distribution network structure) of a distributed energy system that meets the electricity and heating demands of a cluster of commercial and residential...

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Bibliographic Details
Published in:	Energy policy Vol. 61; pp. 249 - 266
Main Authors:	Omu, Akomeno, Choudhary, Ruchi, Boies, Adam
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.10.2013 Elsevier Elsevier Science Ltd
Subjects:	Applied sciences Buildings Competition Competitive advantage Competitiveness Cost Distributed control systems Distributed energy resources Distributed generation Economic analysis Economic data Economics Electric energy Electric power Electricity Energy Energy economics Energy modeling Energy policy Energy resources Energy sector Energy sources Energy subsidies Environmental impact Exact sciences and technology General, economic and professional studies heat Heating Integer programming Investment Investments Linear programming Location Mathematical models Methodology. Modelling MILP Mixed integer Neighborhoods Networks Operating costs Optimization techniques Position (location) Power generation Renewable energy Renewable energy sources Residential areas residential housing Studies Subsidies Tariff tariffs Technology Trade United Kingdom United Kingdom England Great Britain Europe MILP Energy subsidies Distributed energy resources Cost minimization Cogeneration Economic optimization Heat production Linear programming Mixed integer programming Subsidy Case study Optimal strategy Decentralized system Technicoeconomic study Production cost Distributed generation Electric power production Investment
ISSN:	0301-4215, 1873-6777
Online Access:	Get full text
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