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Energy management in Multi-Commodity Smart Energy Systems with a greedy approach

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  • Shi, Huaizhou
  • Blaauwbroek, Niels
  • Nguyen, Phuong H.
  • Kamphuis, René (I.G.)

Abstract

Along with the development of Smart Energy System (SES), the advancing popularity of hybrid energy appliances, such as micro-combined heat and power (CHP) and electric heaters, requires an overall energy management strategy to optimize the energy using while guaranteeing energy supply for both the electricity and heat demand. This paper based on the concept of Multi-Commodity Smart Energy System (MC-SES) proposes a self-sufficient hybrid energy model to minimize the energy exchange with the external electricity grid. Next to the optimization solution for this hybrid energy management problem, a greedy algorithm has been proposed to alleviate the high computational complexity of optimization searching. The optimization, direct allocation and greedy-based methods will all be analyzed, simulated and compared in this paper.

Suggested Citation

  • Shi, Huaizhou & Blaauwbroek, Niels & Nguyen, Phuong H. & Kamphuis, René (I.G.), 2016. "Energy management in Multi-Commodity Smart Energy Systems with a greedy approach," Applied Energy, Elsevier, vol. 167(C), pages 385-396.
    • Handle: RePEc:eee:appene:v:167:y:2016:i:c:p:385-396
    DOI: 10.1016/j.apenergy.2015.11.101
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    1. Chaudry, Modassar & Jenkins, Nick & Qadrdan, Meysam & Wu, Jianzhong, 2014. "Combined gas and electricity network expansion planning," Applied Energy, Elsevier, vol. 113(C), pages 1171-1187.
    2. Banister, Carsen J. & Collins, Michael R., 2015. "Development and performance of a dual tank solar-assisted heat pump system," Applied Energy, Elsevier, vol. 149(C), pages 125-132.
    3. Wu, Zhou & Tazvinga, Henerica & Xia, Xiaohua, 2015. "Demand side management of photovoltaic-battery hybrid system," Applied Energy, Elsevier, vol. 148(C), pages 294-304.
    4. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    5. Patteeuw, Dieter & Bruninx, Kenneth & Arteconi, Alessia & Delarue, Erik & D’haeseleer, William & Helsen, Lieve, 2015. "Integrated modeling of active demand response with electric heating systems coupled to thermal energy storage systems," Applied Energy, Elsevier, vol. 151(C), pages 306-319.
    6. Behrangrad, Mahdi, 2015. "A review of demand side management business models in the electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 270-283.
    7. Rees, M.T. & Wu, J. & Jenkins, N. & Abeysekera, M., 2014. "Carbon constrained design of energy infrastructure for new build schemes," Applied Energy, Elsevier, vol. 113(C), pages 1220-1234.
    8. Nolan, Sheila & O’Malley, Mark, 2015. "Challenges and barriers to demand response deployment and evaluation," Applied Energy, Elsevier, vol. 152(C), pages 1-10.
    9. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 65-99.
    10. Blarke, M.B. & Lund, H., 2008. "The effectiveness of storage and relocation options in renewable energy systems," Renewable Energy, Elsevier, vol. 33(7), pages 1499-1507.
    11. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2015. "Environmental impacts of microgeneration: Integrating solar PV, Stirling engine CHP and battery storage," Applied Energy, Elsevier, vol. 139(C), pages 245-259.
    12. Drysdale, Brian & Wu, Jianzhong & Jenkins, Nick, 2015. "Flexible demand in the GB domestic electricity sector in 2030," Applied Energy, Elsevier, vol. 139(C), pages 281-290.
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