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Design methods for microgrids to address seasonal energy availability – A case study of proposed Showa Antarctic Station retrofits

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  • Obara, Shin'ya
  • Hamanaka, Ryo
  • El-Sayed, Abeer Galal

Abstract

The system-wide efficiency of a microgrid can be hampered by seasonal supply-demand gaps in energy resources. To address seasonal fluctuations in the availability of renewable resources that reduce the efficiency of fossil fuel generation, this study reports on the optimization of a microgrid that accommodates seasonal shifts in supply and demand with energy storage solutions using the hydrogen carriers of methyl cyclohexane (MCH), ammonia, or compressed hydrogen. This design method is then applied to a proposed retrofit of the microgrid at Japan’s Showa Antarctic Station. This retrofit is modeled with MCH and NH3 used as seasonal hydrogen storage media, suggesting that these hydrogen carriers can store renewable energy at efficiencies of 29.0% and 31.0%, respectively. The methods developed in this article can be applied to develop comprehensive analyses of the advantages and disadvantages of long-term energy storage solutions using a variety of hydrogen carriers in microgrids.

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  • Obara, Shin'ya & Hamanaka, Ryo & El-Sayed, Abeer Galal, 2019. "Design methods for microgrids to address seasonal energy availability – A case study of proposed Showa Antarctic Station retrofits," Applied Energy, Elsevier, vol. 236(C), pages 711-727.
    • Handle: RePEc:eee:appene:v:236:y:2019:i:c:p:711-727
    DOI: 10.1016/j.apenergy.2018.12.031
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    as
    1. Parra, David & Gillott, Mark & Norman, Stuart A. & Walker, Gavin S., 2015. "Optimum community energy storage system for PV energy time-shift," Applied Energy, Elsevier, vol. 137(C), pages 576-587.
    2. Patteeuw, Dieter & Henze, Gregor P. & Helsen, Lieve, 2016. "Comparison of load shifting incentives for low-energy buildings with heat pumps to attain grid flexibility benefits," Applied Energy, Elsevier, vol. 167(C), pages 80-92.
    3. Kothari, Richa & Buddhi, D. & Sawhney, R.L., 2008. "Comparison of environmental and economic aspects of various hydrogen production methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 553-563, February.
    4. Middelberg, Arno & Zhang, Jiangfeng & Xia, Xiaohua, 2009. "An optimal control model for load shifting - With application in the energy management of a colliery," Applied Energy, Elsevier, vol. 86(7-8), pages 1266-1273, July.
    5. Reuß, M. & Grube, T. & Robinius, M. & Preuster, P. & Wasserscheid, P. & Stolten, D., 2017. "Seasonal storage and alternative carriers: A flexible hydrogen supply chain model," Applied Energy, Elsevier, vol. 200(C), pages 290-302.
    6. Almansoori, A. & Betancourt-Torcat, A., 2016. "Design of optimization model for a hydrogen supply chain under emission constraints - A case study of Germany," Energy, Elsevier, vol. 111(C), pages 414-429.
    7. Jin, Ming & Feng, Wei & Marnay, Chris & Spanos, Costas, 2018. "Microgrid to enable optimal distributed energy retail and end-user demand response," Applied Energy, Elsevier, vol. 210(C), pages 1321-1335.
    8. Barbour, Edward & Parra, David & Awwad, Zeyad & González, Marta C., 2018. "Community energy storage: A smart choice for the smart grid?," Applied Energy, Elsevier, vol. 212(C), pages 489-497.
    9. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    10. Zhang, Bingying & Li, Qiqiang & Wang, Luhao & Feng, Wei, 2018. "Robust optimization for energy transactions in multi-microgrids under uncertainty," Applied Energy, Elsevier, vol. 217(C), pages 346-360.
    11. Zhao, Xiaoli & Cai, Qiong & Li, Shujie & Ma, Chunbo, 2018. "Public preferences for biomass electricity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 242-253.
    12. Ampimah, Benjamin Chris & Sun, Mei & Han, Dun & Wang, Xueyin, 2018. "Optimizing sheddable and shiftable residential electricity consumption by incentivized peak and off-peak credit function approach," Applied Energy, Elsevier, vol. 210(C), pages 1299-1309.
    13. Nan, Sibo & Zhou, Ming & Li, Gengyin, 2018. "Optimal residential community demand response scheduling in smart grid," Applied Energy, Elsevier, vol. 210(C), pages 1280-1289.
    14. Crespo Del Granado, Pedro & Pang, Zhan & Wallace, Stein W., 2016. "Synergy of smart grids and hybrid distributed generation on the value of energy storage," Applied Energy, Elsevier, vol. 170(C), pages 476-488.
    15. Jean-François Stich & Monideepa Tarafdar & Cary Cooper, 2018. "Electronic communication in the workplace: boon or bane?," Post-Print hal-01725240, HAL.
    16. Parra, David & Norman, Stuart A. & Walker, Gavin S. & Gillott, Mark, 2017. "Optimum community energy storage for renewable energy and demand load management," Applied Energy, Elsevier, vol. 200(C), pages 358-369.
    17. Parra, David & Norman, Stuart A. & Walker, Gavin S. & Gillott, Mark, 2016. "Optimum community energy storage system for demand load shifting," Applied Energy, Elsevier, vol. 174(C), pages 130-143.
    18. Bassamzadeh, Nastaran & Ghanem, Roger, 2017. "Multiscale stochastic prediction of electricity demand in smart grids using Bayesian networks," Applied Energy, Elsevier, vol. 193(C), pages 369-380.
    19. Noussan, Michel, 2018. "Performance based approach for electricity generation in smart grids," Applied Energy, Elsevier, vol. 220(C), pages 231-241.
    Full references (including those not matched with items on IDEAS)

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