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Optimal Energy Management of Combined Cooling, Heat and Power in Different Demand Type Buildings Considering Seasonal Demand Variations

Author

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  • Akhtar Hussain

    (Department of Electrical Engineering, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon 406840, Korea)

  • Van-Hai Bui

    (Department of Electrical Engineering, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon 406840, Korea)

  • Hak-Man Kim

    (Department of Electrical Engineering, Incheon National University, 12-1 Songdo-dong, Yeonsu-gu, Incheon 406840, Korea)

  • Yong-Hoon Im

    (Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea)

  • Jae-Yong Lee

    (Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea)

Abstract

In this paper, an optimal energy management strategy for a cooperative multi-microgrid system with combined cooling, heat and power (CCHP) is proposed and has been verified for a test case of building microgrids (BMGs). Three different demand types of buildings are considered and the BMGs are assumed to be equipped with their own combined heat and power (CHP) generators. In addition, the BMGs are also connected to an external energy network (EEN), which contains a large CHP, an adsorption chiller (ADC), a thermal storage tank, and an electric heat pump (EHP). By trading the excess electricity and heat energy with the utility grid and EEN, each BMG can fulfill its energy demands. Seasonal energy demand variations have been evaluated by selecting a representative day for the two extreme seasons (summer and winter) of the year, among the real profiles of year-round data on electricity, heating, and cooling usage of all the three selected buildings. Especially, the thermal energy management aspect is emphasized where, bi-lateral heat trading between the energy supplier and the consumers, so-called energy prosumer concept, has been realized. An optimization model based on mixed integer linear programming has been developed for minimizing the daily operation cost of the EEN while fulfilling the energy demands of the BMGs. Simulation results have demonstrated the effectiveness of the proposed strategy.

Suggested Citation

  • Akhtar Hussain & Van-Hai Bui & Hak-Man Kim & Yong-Hoon Im & Jae-Yong Lee, 2017. "Optimal Energy Management of Combined Cooling, Heat and Power in Different Demand Type Buildings Considering Seasonal Demand Variations," Energies, MDPI, vol. 10(6), pages 1-21, June.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:6:p:789-:d:100874
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    References listed on IDEAS

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    1. Akhtar Hussain & Van-Hai Bui & Hak-Man Kim, 2016. "Robust Optimization-Based Scheduling of Multi-Microgrids Considering Uncertainties," Energies, MDPI, vol. 9(4), pages 1-21, April.
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    Cited by:

    1. Shan Deng & Qinghua Wu & Zhaoxia Jing & Lilan Wu & Feng Wei & Xiaoxin Zhou, 2017. "Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units," Energies, MDPI, vol. 10(12), pages 1-19, November.
    2. Van-Hai Bui & Akhtar Hussain & Hak-Man Kim & Yong-Hoon Im, 2018. "Optimal Energy Management of Building Microgrid Networks in Islanded Mode Considering Adjustable Power and Component Outages," Energies, MDPI, vol. 11(9), pages 1-22, September.
    3. Bui, Van-Hai & Hussain, Akhtar & Im, Yong-Hoon & Kim, Hak-Man, 2019. "An internal trading strategy for optimal energy management of combined cooling, heat and power in building microgrids," Applied Energy, Elsevier, vol. 239(C), pages 536-548.
    4. Sung-Ho Park & Akhtar Hussain & Hak-Man Kim, 2019. "Impact Analysis of Survivability-Oriented Demand Response on Islanded Operation of Networked Microgrids with High Penetration of Renewables," Energies, MDPI, vol. 12(3), pages 1-22, January.
    5. Marek Borowski, 2022. "Hotel Adapted to the Requirements of an nZEB Building—Thermal Energy Performance and Assessment of Energy Retrofit Plan," Energies, MDPI, vol. 15(17), pages 1-17, August.
    6. Guozheng Li & Rui Wang & Tao Zhang & Mengjun Ming, 2018. "Multi-Objective Optimal Design of Renewable Energy Integrated CCHP System Using PICEA-g," Energies, MDPI, vol. 11(4), pages 1-26, March.
    7. Asad Waqar & Muhammad Shahbaz Tanveer & Jehanzeb Ahmad & Muhammad Aamir & Muneeb Yaqoob & Fareeha Anwar, 2017. "Multi-Objective Analysis of a CHP Plant Integrated Microgrid in Pakistan," Energies, MDPI, vol. 10(10), pages 1-22, October.
    8. Gbemi Oluleye & John Allison & Nicolas Kelly & Adam D. Hawkes, 2018. "An Optimisation Study on Integrating and Incentivising Thermal Energy Storage (TES) in a Dwelling Energy System," Energies, MDPI, vol. 11(5), pages 1-17, April.
    9. Hong Li & Xiaodan Wang & Jie Duan & Feifan Chen & Yajing Gao, 2018. "Locating Optimization of an Integrated Energy Supply Centre in a Typical New District Based on the Load Density," Energies, MDPI, vol. 11(4), pages 1-22, April.
    10. Feng Qi & Fushuan Wen & Xunyuan Liu & Md. Abdus Salam, 2017. "A Residential Energy Hub Model with a Concentrating Solar Power Plant and Electric Vehicles," Energies, MDPI, vol. 10(8), pages 1-17, August.
    11. Huiru Zhao & Hao Lu & Xuejie Wang & Bingkang Li & Yuwei Wang & Pei Liu & Zhao Ma, 2020. "Research on Comprehensive Value of Electrical Energy Storage in CCHP Microgrid with Renewable Energy Based on Robust Optimization," Energies, MDPI, vol. 13(24), pages 1-22, December.

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