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Optimization of heat pump system

Author

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  • Sánta, Róbert
  • Garbai, László
  • Fürstner, Igor

Abstract

The purpose of this study is to produce a mathematical model to describe the operation of a water-to-water heat pump system for steady-state condition. The set-up model is deterministic. It consists of distributed as well as lumped parameters. The proposed mathematical models of heat exchangers were described by coupled differential equations, while the models of the compressor and the expansion valve are of lumped parameters. The Runge–Kutta and the Adams–Moulton predictor-corrector methods were applied for the numerical solution of differential equations, i.e. the equation systems. The developed mathematical model is validated with 118 tests using R134a as a working fluid. The results show that an average difference between the modeled and experimental results for the coefficient of performance is 1.73%, which means that the proposed mathematical model can be used to determine the optimum operating point of a heat pump system for a given heat demand for heating, by determining the maximum value of the coefficient of performance.

Suggested Citation

  • Sánta, Róbert & Garbai, László & Fürstner, Igor, 2015. "Optimization of heat pump system," Energy, Elsevier, vol. 89(C), pages 45-54.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:45-54
    DOI: 10.1016/j.energy.2015.07.042
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    References listed on IDEAS

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    1. Nyers, Jozsef & Garbai, Laszlo & Nyers, Arpad, 2015. "A modified mathematical model of heat pump's condenser for analytical optimization," Energy, Elsevier, vol. 80(C), pages 706-714.
    2. Sheng, Ying & Zhang, Yufeng & Zhang, Ge, 2015. "Simulation and energy saving analysis of high temperature heat pump coupling to desiccant wheel air conditioning system," Energy, Elsevier, vol. 83(C), pages 583-596.
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    Cited by:

    1. Pospíšil, Jiří & Špiláček, Michal & Kudela, Libor, 2018. "Potential of predictive control for improvement of seasonal coefficient of performance of air source heat pump in Central European climate zone," Energy, Elsevier, vol. 154(C), pages 415-423.
    2. Jorge E. De León-Ruiz & Ignacio Carvajal-Mariscal, 2018. "Mathematical Thermal Modelling of a Direct-Expansion Solar-Assisted Heat Pump Using Multi-Objective Optimization Based on the Energy Demand," Energies, MDPI, vol. 11(7), pages 1-27, July.
    3. Changqing Liu & Ronghua Wu & Hao Yu & Hao Zhan & Long Xu, 2022. "Heat Transfer Characteristics of Cold Water Phase-Change Heat Exchangers under Active Icing Conditions," Energies, MDPI, vol. 15(19), pages 1-18, October.
    4. Guiqiang Wang & Haiman Wang & Zhiqiang Kang & Guohui Feng, 2020. "Data-Driven Optimization for Capacity Control of Multiple Ground Source Heat Pump System in Heating Mode," Energies, MDPI, vol. 13(14), pages 1-15, July.
    5. Jorge E. De León-Ruiz & Ignacio Carvajal-Mariscal & Antonin Ponsich, 2019. "Feasibility Analysis and Performance Evaluation and Optimization of a DXSAHP Water Heater Based on the Thermal Capacity of the System: A Case Study," Energies, MDPI, vol. 12(20), pages 1-38, October.
    6. Josifovic, Aleksandar & Roberts, Jennifer J. & Corney, Jonathan & Davies, Bruce & Shipton, Zoe K., 2016. "Reducing the environmental impact of hydraulic fracturing through design optimisation of positive displacement pumps," Energy, Elsevier, vol. 115(P1), pages 1216-1233.
    7. Akbulut, Ugur & Utlu, Zafer & Kincay, Olcay, 2016. "Exergy, exergoenvironmental and exergoeconomic evaluation of a heat pump-integrated wall heating system," Energy, Elsevier, vol. 107(C), pages 502-522.
    8. Arpad Nyers & Jozsef Nyers, 2023. "Enhancing the Energy Efficiency—COP of the Heat Pump Heating System by Energy Optimization and a Case Study," Energies, MDPI, vol. 16(7), pages 1-20, March.

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