Multiobjective optimization for lifecycle cost, carbon dioxide emissions and exergy of residential heat and electricity prosumers

Benjamin Manrique Delgado, Sunliang Cao, Ala Hasan, Kai Sirén

    Research output: Contribution to journalArticleScientificpeer-review

    12 Citations (Scopus)

    Abstract

    A key element to reach sustainability in the built environment is reducing the need to compromise between performance and cost-optimality. Particularly, conversion and/or exchange of surplus energy from on-site generation components can offer opportunities to increase the overall system profitability and enhance its performance. This study addresses the cost-optimality, operational carbon dioxide emissions and exergetic performance of a single-family building with bidirectional heat and electricity exchange. Through multiobjective optimization, it compares various system configurations that have on-site heat and electricity generation components. The results show that, for systems with over ∼4.3 kW onsite electricity generation capacity, driving a ground-source heat pump with surplus electricity to obtain heat, and export it to a district heating grid, offers optimal solutions for lifecycle costs and operational equivalent carbon dioxide emissions. Under the studied context, heat export from a ground-source heat pump driven by surplus electricity leads to nearly a fivefold increase in monetary income per unit of exported energy and to a fivefold increase in operational equivalent carbon dioxide emissions compensation. Considerable drawbacks of this are the lower exergy content and mobility of heat, compared to electricity, though these can be alleviated if the heat is used for heating purposes in nearby buildings.

    Original languageEnglish
    Pages (from-to)455-469
    Number of pages15
    JournalEnergy Conversion and Management
    Volume154
    DOIs
    Publication statusPublished - 15 Dec 2017
    MoE publication typeA1 Journal article-refereed

    Keywords

    • Cost-optimality
    • Exergy balance
    • Hybrid grids
    • Multiobjective optimization
    • Prosumers
    • Zero-energy buildings

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