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Technoeconomic Analysis on a Hybrid Power System for the UK Household Using Renewable Energy: A Case Study

Author

Listed:
  • Chunqiong Miao

    (Office of Academic Research, Guangxi Electrical Polytechnic Institute, Nanning 530007, China)

  • Kailiang Teng

    (Dongguan Power Supply Bureau, Guangdong Power Grid Corporation, Dongguan 523008, China)

  • Yaodong Wang

    (Department of Engineering, Durham University, Durham DH1 3LE, UK)

  • Long Jiang

    (Department of Engineering, University of Aberdeen, Aberdeen AB24 3FX, UK)

Abstract

The United Kingdom has abundant renewable energy resources from wind, solar, biomass and others. Meanwhile, domestic sector consumes large amount of electricity and natural gas. This paper aims to explore the potentials of a hybrid renewable energy system (HRES) to supply power and heat for a household with the optimal configuration. A typical house in the United Kingdom is selected as a case study and its energy consumption is collected and analysed. Based on energy demands of the house, a distributed HRES including wind turbine, solar photovoltaic (PV) and biogas genset is designed and simulated to satisfy the power and heat demands. Hybrid Optimization Model for Electric Renewable (HOMER) Software is used to conduct this technoeconomic analysis. It is found that the HRES system with one 1-kW wind turbine, one 1-kW sized biogas genset, four battery units and one 1-kW sized power converter is the most feasible solution, which can supply enough power and heat to meet the household demands. In addition, the HRES system has the lowest net present cost (NPC) of $14,507 and the lowest levelized cost of energy (LCOE) of $0.588 kW −1 ·h −1 . The case study is also quite insightful to other European countries.

Suggested Citation

  • Chunqiong Miao & Kailiang Teng & Yaodong Wang & Long Jiang, 2020. "Technoeconomic Analysis on a Hybrid Power System for the UK Household Using Renewable Energy: A Case Study," Energies, MDPI, vol. 13(12), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3231-:d:374857
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