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This chapter presents an analysis of an integrated power-hydrogen system for an energy community, incorporating renewable energy sources as solar panels, battery storage, and grid interaction. This chapter focuses on optimising energy consumption and minimising \(\mathrm {CO}_{2}\) emissions. Genetic algorithm techniques are implemented to find the optimal values for various parameters in the system such as battery usage and grid utilisation. The analysis considers power and heating loads, with renewable energy sources meeting the power load and surplus energy used to produce hydrogen. The findings highlight the potential of integrated power-to-hydrogen systems for decarbonising small communities.

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Decarbonising Heating with Power-Hydrogen Optimisation

  • 章节

  • 发表日期：

    2026年

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  • Eduardo Gonzalez Osuna,
  • Martha Correa Delval,
  • Hongjian Sun

摘要

This chapter presents an analysis of an integrated power-hydrogen system for an energy community, incorporating renewable energy sources as solar panels, battery storage, and grid interaction. This chapter focuses on optimising energy consumption and minimising \(\mathrm {CO}_{2}\) emissions. Genetic algorithm techniques are implemented to find the optimal values for various parameters in the system such as battery usage and grid utilisation. The analysis considers power and heating loads, with renewable energy sources meeting the power load and surplus energy used to produce hydrogen. The findings highlight the potential of integrated power-to-hydrogen systems for decarbonising small communities.