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Reliability modeling of multi-carrier energy systems

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  • Koeppel, Gaudenz
  • Andersson, Göran

Abstract

Most of today's consumed energy can be categorized as either electrical, chemical or thermal. Traditionally, the infrastructures for the supply with these energy forms have been engineered separately, often resulting in parallel but uncoordinated supply infrastructures. Various new technologies for conversion between these energy forms however start introducing a mutual dependence and an increasing substitution potential between these infrastructures, with combined cycle gas turbines playing a major role. To a certain extent, the mutual dependence also leads to redundancy effects and influences the reliability and availability of supply. This paper presents a model for analyzing and calculating expected reliability of supply and expected energy not supplied in such multi-carrier energy systems. The models can be used to identify the benefit and sensitivity of certain conversions as well as their limits in terms of reliability improvements.

Suggested Citation

  • Koeppel, Gaudenz & Andersson, Göran, 2009. "Reliability modeling of multi-carrier energy systems," Energy, Elsevier, vol. 34(3), pages 235-244.
  • Handle: RePEc:eee:energy:v:34:y:2009:i:3:p:235-244
    DOI: 10.1016/j.energy.2008.04.012
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    References listed on IDEAS

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    Cited by:

    1. Stoppato, Anna & Cavazzini, Giovanna & Ardizzon, Guido & Rossetti, Antonio, 2014. "A PSO (particle swarm optimization)-based model for the optimal management of a small PV(Photovoltaic)-pump hydro energy storage in a rural dry area," Energy, Elsevier, vol. 76(C), pages 168-174.
    2. van Stiphout, Arne & Virag, Ana & Kessels, Kris & Deconinck, Geert, 2018. "Benefits of a multi-energy day-ahead market," Energy, Elsevier, vol. 165(PB), pages 651-661.
    3. Shariatkhah, Mohammad-Hossein & Haghifam, Mahmoud-Reza & Chicco, Gianfranco & Parsa-Moghaddam, Mohsen, 2016. "Adequacy modeling and evaluation of multi-carrier energy systems to supply energy services from different infrastructures," Energy, Elsevier, vol. 109(C), pages 1095-1106.
    4. Dutton, Spencer & Marnay, Chris & Feng, Wei & Robinson, Matthew & Mammoli, Andrea, 2019. "Moore vs. Murphy: Tradeoffs between complexity and reliability in distributed energy system scheduling using software-as-a-service," Applied Energy, Elsevier, vol. 238(C), pages 1126-1137.
    5. 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.
    6. Fu, Xueqian & Li, Gengyin & Wang, Huaizhi, 2018. "Use of a second-order reliability method to estimate the failure probability of an integrated energy system," Energy, Elsevier, vol. 161(C), pages 425-434.
    7. Sadegheih, A., 2009. "Optimization of network planning by the novel hybrid algorithms of intelligent optimization techniques," Energy, Elsevier, vol. 34(10), pages 1539-1551.
    8. Maroufmashat, Azadeh & Elkamel, Ali & Fowler, Michael & Sattari, Sourena & Roshandel, Ramin & Hajimiragha, Amir & Walker, Sean & Entchev, Evgueniy, 2015. "Modeling and optimization of a network of energy hubs to improve economic and emission considerations," Energy, Elsevier, vol. 93(P2), pages 2546-2558.
    9. Jan Abrell and Hannes Weigt, 2016. "Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    10. Ashouri, Araz & Fux, Samuel S. & Benz, Michael J. & Guzzella, Lino, 2013. "Optimal design and operation of building services using mixed-integer linear programming techniques," Energy, Elsevier, vol. 59(C), pages 365-376.
    11. Zare, V., 2016. "Exergoeconomic analysis with reliability and availability considerations of a nuclear energy-based combined cycle power plant," Energy, Elsevier, vol. 96(C), pages 187-196.
    12. Wang, Sheng & Shao, Changzheng & Ding, Yi & Yan, Jinyue, 2019. "Operational reliability of multi-energy customers considering service-based self-scheduling," Applied Energy, Elsevier, vol. 254(C).
    13. Xianzheng Zhou & Chuangxin Guo & Yifei Wang & Wanqi Li, 2017. "Optimal Expansion Co-Planning of Reconfigurable Electricity and Natural Gas Distribution Systems Incorporating Energy Hubs," Energies, MDPI, Open Access Journal, vol. 10(1), pages 1-22, January.
    14. Lei, Yunkai & Hou, Kai & Wang, Yue & Jia, Hongjie & Zhang, Pei & Mu, Yunfei & Jin, Xiaolong & Sui, Bingyan, 2018. "A new reliability assessment approach for integrated energy systems: Using hierarchical decoupling optimization framework and impact-increment based state enumeration method," Applied Energy, Elsevier, vol. 210(C), pages 1237-1250.
    15. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Yousefi, Hossein, 2017. "Energy hub: From a model to a concept – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1512-1527.
    16. Vahid Amir & Shahram Jadid & Mehdi Ehsan, 2017. "Optimal Design of a Multi-Carrier Microgrid (MCMG) Considering Net Zero Emission," Energies, MDPI, Open Access Journal, vol. 10(12), pages 1-22, December.
    17. Qingshan Xu & Yifan Ding & Aixia Zheng, 2017. "An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability," Sustainability, MDPI, Open Access Journal, vol. 9(5), pages 1-20, May.
    18. Destro, Nicola & Benato, Alberto & Stoppato, Anna & Mirandola, Alberto, 2016. "Components design and daily operation optimization of a hybrid system with energy storages," Energy, Elsevier, vol. 117(P2), pages 569-577.

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