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Optimal placement and sizing of heat pumps and heat only boilers in a coupled electricity and heating networks

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  • Ayele, Getnet Tadesse
  • Mabrouk, Mohamed Tahar
  • Haurant, Pierrick
  • Laumert, Björn
  • Lacarrière, Bruno

Abstract

Multi-energy systems are reported to have a better environmental and economic performance relative to the conventional, single-carrier, energy systems. Electrification of district heating networks using heat pumps and combined heat and power technologies is one such example. Due to lack of suitable modelling tools, however, the sizing and optimal placement of heat pumps is always done only from the heating network point of view which sometimes compromises the electricity network. This paper proposes an integrated optimization algorithm to overcome such limitation. A load flow model based on an extended energy hub approach is combined with a nested particle swarm optimization algorithm. A waste to energy combined heat and power plant, heat pumps (HPs), heat only boiler (HOB), solar photo-voltaic, wind turbines and imports from the neighborhood grids are considered in the case studies. The results show that optimal placement and sizing of HPs and a HOB using the proposed methodology avoids an unacceptable voltage profiles and overloading of the electricity distribution network, which could arise while optimizing only from the heating network point of view. It also shows that up to 41.2% of the electric loss and 5% of the overall operating cost could be saved.

Suggested Citation

  • Ayele, Getnet Tadesse & Mabrouk, Mohamed Tahar & Haurant, Pierrick & Laumert, Björn & Lacarrière, Bruno, 2019. "Optimal placement and sizing of heat pumps and heat only boilers in a coupled electricity and heating networks," Energy, Elsevier, vol. 182(C), pages 122-134.
    • Handle: RePEc:eee:energy:v:182:y:2019:i:c:p:122-134
    DOI: 10.1016/j.energy.2019.06.018
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    Cited by:

    1. Luo, Xi & Liu, Yanfeng & Feng, Pingan & Gao, Yuan & Guo, Zhenxiang, 2021. "Optimization of a solar-based integrated energy system considering interaction between generation, network, and demand side," Applied Energy, Elsevier, vol. 294(C).
    2. Arnaudo, Monica & Topel, Monika & Laumert, Björn, 2020. "Techno-economic analysis of demand side flexibility to enable the integration of distributed heat pumps within a Swedish neighborhood," Energy, Elsevier, vol. 195(C).
    3. Okada, Masaki & Onishi, Terumi & Obara, Shin’ya, 2020. "A design algorithm for an electric power system using wide-area interconnection of renewable energy," Energy, Elsevier, vol. 193(C).
    4. Wang, Yang & Gillich, Aaron & LU, Daisy & Saber, Esmail Mahmoudi & Yebiyo, Metkel & Kang, Ren & Ford, Andy & Hewitt, Mark, 2021. "Performance prediction and evaluation on the first balanced energy networks (BEN) part I: BEN and building internal factors," Energy, Elsevier, vol. 221(C).
    5. Zheng, J.H. & Xiao, Wenting & Wu, C.Q. & Li, Zhigang & Wang, L.X. & Wu, Q.H., 2023. "A gradient descent direction based-cumulants method for probabilistic energy flow analysis of individual-based integrated energy systems," Energy, Elsevier, vol. 265(C).
    6. Kiani-Moghaddam, Mohammad & Soltani, Mohsen N. & Kalogirou, Soteris A. & Mahian, Omid & Arabkoohsar, Ahmad, 2023. "A review of neighborhood level multi-carrier energy hubs—uncertainty and problem-solving process," Energy, Elsevier, vol. 281(C).
    7. Martina Capone & Elisa Guelpa & Vittorio Verda, 2023. "Optimal Installation of Heat Pumps in Large District Heating Networks," Energies, MDPI, vol. 16(3), pages 1-23, February.

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