Optimal Sizing of a Grid Independent Renewable Heating System for Building Decarbonisation

Si Chen, Daniel Friedrich, Zhibin Yu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

As the use of fossil fuels has led to global climate change due to global warming, most countries are aiming to reduce greenhouse gas emissions through the application of renewable energies. Due to the distributed and seasonal heating demand, the decarbonisation of heating is more challenging, especially for countries that are cold in winters. Electrically powered heat pumps are considered as an attractive solution for decarbonising heating sector. Since grid-powered heat pumps may significantly increase the power demand of the grid, this paper considers using local renewable energy to provide power for heat pumps, which is known as the grid independent renewable heating system including photovoltaic, wind turbine, battery storage system and thermal energy storage. This paper investigates a complete renewable heating system (RHS) framework and sizing the components to decarbonise building heating. The relationship between the reduction of gas consumption and the requirement of battery storage system (BSS) under the corresponding installation capacity of renewable components is analysed with their technical requirements. Then, according to different investment plans, this paper uses the particle swarm optimisation algorithm for optimal sizing of each component in the RHS to find a solution to minimise CO2 emissions. The results verify that the RHS with optimal sizing can minimise CO2 emissions and reduce the operational cost of natural gas. This work provides a feasible solution of how to invest the RHS to replace the existing heating system based on gas boilers and CHPs.
Original languageEnglish
Article number746268
JournalFrontiers in Energy Research
Volume9
DOIs
Publication statusPublished - 17 Aug 2021

Keywords

  • Building heating decarbonisation
  • Particle swarm optimisation
  • Annual investment cost
  • Renewable heating system
  • Integrated energy research

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