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Distributed energy resource system optimisation using mixed integer linear programming

  • Akomeno Omu
  • , Ruchi Choudhary
  • , Adam Boies

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)249-266
Number of pages18
JournalEnergy Policy
Volume61
DOIs
StatePublished - Oct 2013
Externally publishedYes

Bibliographical note

Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  4. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Distributed energy resources
  • Energy subsidies
  • MILP

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