CHP sizing and domestic building energy cost optimization

Dongmin Yu, Huiming Zhang, Da Huo, Simon Le Blond

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The number of CHP units installed in domestic buildings is increasing rapidly in recent years, due to the fact that CHP has the potential to increase energy efficiency, to improve energy controllability and to reduce energy costs and carbon emissions. However, installing CHP with inappropriate capacity may increase energy costs and reduce energy efficiency. This paper first uses electricity and heat loads as sizing criteria to find the best capacities of gas engine and fuel cell CHP with the help of the maximum rectangle method (MR). Subsequently, the genetic algorithm optimisation technique (GA) will be used to optimise the daily energy costs of the different cases. Then, heat and electricity loads are jointly considered for sizing different types of CHP and for optimizing the daily energy costs through the GA method. Finally, the optimization results show that the GA sizing method gives a higher average daily energy cost saving, which is 13% reduction.

Original languageEnglish
Title of host publicationProceedings of the 51st International Universities Power Engineering Conference, UPEC 2016
PublisherIEEE
Pages1-6
Number of pages6
Volume2017-January
ISBN (Electronic)9781509046508
DOIs
Publication statusPublished - 16 Nov 2017
Event51st International Universities Power Engineering Conference, UPEC 2016 - Coimbra, Portugal
Duration: 6 Sep 20169 Sep 2016

Conference

Conference51st International Universities Power Engineering Conference, UPEC 2016
CountryPortugal
CityCoimbra
Period6/09/169/09/16

Keywords

  • CHP
  • Energy Hub (EH)
  • Genetic Algorithm (GA) optimization
  • Maximum Rectangle (MR) method

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

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