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  • 1.
    Ayele, Getnet Tadesse
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology. CNRS, UMR 6144, GEPEA, IMT Atlantique, F-44307 Nantes, France..
    Mabrouk, Mohamed Tahar
    CNRS, UMR 6144, GEPEA, IMT Atlantique, F-44307 Nantes, France..
    Haurant, Pierrick
    CNRS, UMR 6144, GEPEA, IMT Atlantique, F-44307 Nantes, France..
    Laumert, Björn
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology. KTH Royal Inst Technol, Dept Energy Technol, S-10044 Stockholm, Sweden..
    Lacarriere, Bruno
    CNRS, UMR 6144, GEPEA, IMT Atlantique, F-44307 Nantes, France..
    Optimal placement and sizing of heat pumps and heat only boilers in a coupled electricity and heating networks2019In: Energy, ISSN 0360-5442, E-ISSN 1873-6785, Vol. 182, p. 122-134Article in journal (Refereed)
    Abstract [en]

    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 photovoltaic, 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.

  • 2.
    Ayele, Getnet Tadesse
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology.
    Mabrouk, Mohamed Tahar
    IMT Atlantique - DSEE - Département Systèmes énergétiques et environnement.
    Haurant, Pierrick
    IMT Atlantique - DSEE - Département Systèmes énergétiques et environnement.
    Laumert, Björn
    KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology.
    Lacarrière, Bruno
    IMT Atlantique - DSEE - Département Systèmes énergétiques et environnement.
    Santarelli, Massimo
    Polito - Politecnico di Torino.
    Exergy analysis and thermo-economic optimization of a district heating network with solar- photovoltaic and heat pumps2019In: Proceedings of the 32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems / [ed] Wojciech Stanek, Paweł Gładysz, Sebastian Werle, Wojciech Adamczyk, 2019Conference paper (Refereed)
    Abstract [en]

    Electrification of district heating networks, especially using heat pumps, is widely recommended in literature. Installing heat pumps affects both electricity and heating networks. Due to lack of suitable modelling tools, size optimization of heat pumps in the heating network with the full consideration of the electric distribution network is not well addressed in literature. This paper presents an optimization of a district heating network consisting of solar photovoltaic and heat pumps with the consideration of the detail parameters of heating and electric distribution networks. An extended energy hub approach is used to model the energy system. Exergy and energy analyses are applied to identify and isolate lossy branches in a meshed heating network. Both methods resulted into the same reduced topology. Particle swarm optimization is then applied on the reduced topology in order to find out the most economical temperature profiles and size of distributed heat pumps. The thermo-economic results are found to be highly influenced by the heat demand distribution, the power loss in both electric and heat distribution network, the cost of generation, the temperature limits and the coupling effect of the heat pumps.

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