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Impact analysis of sampling time interval and battery installation on optimal operational planning of residential cogeneration systems without electric power export

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  • Wakui, Tetsuya
  • Yokoyama, Ryohei

Abstract

The impact of the sampling time interval for energy demands on the optimal operational planning of residential cogeneration systems without electric power export was analyzed. To improve their operational flexibility, focus was also placed on battery installation. First, an optimal operational planning problem was modeled on the basis of a mixed-integer linear programming. The features of the model are to consider the operational constraints of the cogeneration units, i.e., a daily maximum number of start–stop cycles, minimum up- and downtimes, and starting and shutdown energies, and to introduce a battery in consideration of electric power consumption in a built-in bidirectional inverter. Then, the developed model was applied to an energy-saving analysis of the following residential cogeneration systems under 5–60 min sampling time intervals for the simulated energy demands. A gas engine-based cogeneration system is operated at a constant power output; a polymer electrolyte fuel cell-based cogeneration system employs daily start–stop operation; and a solid oxide fuel cell-based cogeneration system is operated continuously. The results revealed that optimal operational planning under a sufficiently short sampling time interval is required to evaluate not only the energy-saving effect of the residential cogeneration systems without electric power export, but also the effectiveness of battery installation.

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  • Wakui, Tetsuya & Yokoyama, Ryohei, 2015. "Impact analysis of sampling time interval and battery installation on optimal operational planning of residential cogeneration systems without electric power export," Energy, Elsevier, vol. 81(C), pages 120-136.
    • Handle: RePEc:eee:energy:v:81:y:2015:i:c:p:120-136
    DOI: 10.1016/j.energy.2014.12.002
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    2. Wakui, Tetsuya & Hashiguchi, Moe & Yokoyama, Ryohei, 2020. "A near-optimal solution method for coordinated operation planning problem of power- and heat-interchange networks using column generation-based decomposition," Energy, Elsevier, vol. 197(C).
    3. Wakui, Tetsuya & Sawada, Kento & Yokoyama, Ryohei & Aki, Hirohisa, 2018. "Predictive management of cogeneration-based energy supply networks using two-stage multi-objective optimization," Energy, Elsevier, vol. 162(C), pages 1269-1286.
    4. Wakui, Tetsuya & Kawayoshi, Hiroki & Yokoyama, Ryohei & Aki, Hirohisa, 2016. "Operation management of residential energy-supplying networks based on optimization approaches," Applied Energy, Elsevier, vol. 183(C), pages 340-357.
    5. Wakui, Tetsuya & Hashiguchi, Moe & Yokoyama, Ryohei, 2021. "Structural design of distributed energy networks by a hierarchical combination of variable- and constraint-based decomposition methods," Energy, Elsevier, vol. 224(C).
    6. Sasaki, Kento & Aki, Hirohisa & Ikegami, Takashi, 2022. "Application of model predictive control to grid flexibility provision by distributed energy resources in residential dwellings under uncertainty," Energy, Elsevier, vol. 239(PB).
    7. Wakui, Tetsuya & Kawayoshi, Hiroki & Yokoyama, Ryohei, 2016. "Optimal structural design of residential power and heat supply devices in consideration of operational and capital recovery constraints," Applied Energy, Elsevier, vol. 163(C), pages 118-133.
    8. Wakui, Tetsuya & Hashiguchi, Moe & Sawada, Kento & Yokoyama, Ryohei, 2019. "Two-stage design optimization based on artificial immune system and mixed-integer linear programming for energy supply networks," Energy, Elsevier, vol. 170(C), pages 1228-1248.
    9. Jochem, Patrick & Schönfelder, Martin & Fichtner, Wolf, 2015. "An efficient two-stage algorithm for decentralized scheduling of micro-CHP units," European Journal of Operational Research, Elsevier, vol. 245(3), pages 862-874.
    10. Wakui, Tetsuya & Yokoyama, Ryohei, 2015. "Optimal structural design of residential cogeneration systems with battery based on improved solution method for mixed-integer linear programming," Energy, Elsevier, vol. 84(C), pages 106-120.
    11. Wakui, Tetsuya & Sawada, Kento & Yokoyama, Ryohei & Aki, Hirohisa, 2019. "Predictive management for energy supply networks using photovoltaics, heat pumps, and battery by two-stage stochastic programming and rule-based control," Energy, Elsevier, vol. 179(C), pages 1302-1319.

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