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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Vydané v:Energy policy Ročník 61; s. 249 - 266
Hlavní autori: Omu, Akomeno, Choudhary, Ruchi, Boies, Adam
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Kidlington Elsevier Ltd 01.10.2013
Elsevier
Elsevier Science Ltd
Predmet:
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
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Popis
Shrnutí: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 buildings while minimising annual investment and operating cost. The model is used to analyse the economic and environmental impacts of distributed energy systems at the neighbourhood scale in comparison to conventional centralised energy generation systems. Additionally, the influence of energy subsidies, such as the UK's Renewable Heat Incentives and Feed in Tariffs, is analysed to determine if they have the desired effect of increasing the economic competitiveness of renewable energy systems. •A MILP model was created to design a distributed energy resource system for a cluster of buildings.•The optimal DER system was found to decrease annual costs by 40% and CO2 emissions by 50%.•Small wind turbines and biomass boilers were found to be the optimal technologies.•Energy subsidies are vital because they increase the affordability of low carbon technologies.
Bibliografia:http://dx.doi.org/10.1016/j.enpol.2013.05.009
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ISSN:0301-4215
1873-6777
DOI:10.1016/j.enpol.2013.05.009