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Reliability evaluation of multi-carrier energy system with different level of demands under various weather situation

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  • Zamani Gargari, Milad
  • Ghaffarpour, Reza

Abstract

Multi-carrier systems enable the cooperation between different energy types to answer the electricity, water, heating and cooling demand together. One of the most important problems related to procuring energy for consumers is the reliability of delivered energy. This paper contributes a framework to assess the reliability of energy hub based on its elements and input energy carriers. Loss of load expectation (LOLE), loss of load probability (LOLP) and expected energy not supplied (EENS) have been employed to determine the reliability of the multi-energy carrier system in two different weather condition. The interactions between different energy carriers have been formed based on the exact model of energy storages. The calculation of the reliability assessment for energy hub has been performed by using MATLAB software. The results of the employment of the presented framework on a case study with various types of energy converters have been illustrated that the reliability of demands has been increased significantly by the use of an energy hub concept. Also, the reliability of energy hub has been imposed based on the size of components to recognize the impacts of each component on the general reliability of the system.

Suggested Citation

  • Zamani Gargari, Milad & Ghaffarpour, Reza, 2020. "Reliability evaluation of multi-carrier energy system with different level of demands under various weather situation," Energy, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:energy:v:196:y:2020:i:c:s0360544220301985
    DOI: 10.1016/j.energy.2020.117091
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    References listed on IDEAS

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    1. Koeppel, Gaudenz & Andersson, Göran, 2009. "Reliability modeling of multi-carrier energy systems," Energy, Elsevier, vol. 34(3), pages 235-244.
    2. Hemmati, S. & Ghaderi, S.F. & Ghazizadeh, M.S., 2018. "Sustainable energy hub design under uncertainty using Benders decomposition method," Energy, Elsevier, vol. 143(C), pages 1029-1047.
    3. Najafi, Arsalan & Falaghi, Hamid & Contreras, Javier & Ramezani, Maryam, 2016. "Medium-term energy hub management subject to electricity price and wind uncertainty," Applied Energy, Elsevier, vol. 168(C), pages 418-433.
    4. Falcão, António F.O. & Henriques, João C.C., 2016. "Oscillating-water-column wave energy converters and air turbines: A review," Renewable Energy, Elsevier, vol. 85(C), pages 1391-1424.
    5. Alhmoud, Lina & Wang, Bingsen, 2018. "A review of the state-of-the-art in wind-energy reliability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1643-1651.
    6. Orehounig, Kristina & Evins, Ralph & Dorer, Viktor, 2015. "Integration of decentralized energy systems in neighbourhoods using the energy hub approach," Applied Energy, Elsevier, vol. 154(C), pages 277-289.
    7. Michel Fliess & Cédric Join & Cyril Voyant, 2018. "Prediction bands for solar energy: New short-term time series forecasting techniques," Post-Print hal-01736518, HAL.
    8. Bai, Linquan & Li, Fangxing & Cui, Hantao & Jiang, Tao & Sun, Hongbin & Zhu, Jinxiang, 2016. "Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty," Applied Energy, Elsevier, vol. 167(C), pages 270-279.
    9. Salpakari, Jyri & Lund, Peter, 2016. "Optimal and rule-based control strategies for energy flexibility in buildings with PV," Applied Energy, Elsevier, vol. 161(C), pages 425-436.
    10. Wang, Yi & Zhang, Ning & Zhuo, Zhenyu & Kang, Chongqing & Kirschen, Daniel, 2018. "Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch," Applied Energy, Elsevier, vol. 210(C), pages 1141-1150.
    11. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Integrated heat and power dispatch truly utilizing thermal inertia of district heating network for wind power integration," Applied Energy, Elsevier, vol. 211(C), pages 865-874.
    12. Soroudi, Alireza & Amraee, Turaj, 2013. "Decision making under uncertainty in energy systems: State of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 376-384.
    13. Aghamohamadi, Mehrdad & Samadi, Mahdi & Rahmati, Iman, 2018. "Energy generation cost in multi-energy systems; an application to a non-merchant energy hub in supplying price responsive loads," Energy, Elsevier, vol. 161(C), pages 878-891.
    14. Ahn, Hyeunguk & Rim, Donghyun & Freihaut, James D., 2018. "Performance assessment of hybrid chiller systems for combined cooling, heating and power production," Applied Energy, Elsevier, vol. 225(C), pages 501-512.
    15. Ghaffarpour, Reza & Mozafari, Babak & Ranjbar, Ali Mohammad & Torabi, Taghi, 2018. "Resilience oriented water and energy hub scheduling considering maintenance constraint," Energy, Elsevier, vol. 158(C), pages 1092-1104.
    16. Qing, Xiangyun & Niu, Yugang, 2018. "Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM," Energy, Elsevier, vol. 148(C), pages 461-468.
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    4. Cabral, Charlette & Andiappan, Viknesh & Aviso, Kathleen & Tan, Raymond, 2021. "Equipment size selection for optimizing polygeneration systems with reliability aspects," Energy, Elsevier, vol. 234(C).

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