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An energy systems engineering approach to the optimal design of energy systems in commercial buildings

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  • Liu, Pei
  • Pistikopoulos, Efstratios N.
  • Li, Zheng

Abstract

Energy consumption in commercial buildings accounts for a significant proportion of worldwide energy consumption. Any increase in the energy efficiency of the energy systems for commercial buildings would lead to significant energy savings and emissions reductions. In this work, we introduce an energy systems engineering framework towards the optimal design of such energy systems with improved energy efficiency and environmental performance. The framework features a superstructure representation of the various energy technology alternatives, a mixed-integer optimization formulation of the energy systems design problem, and a multi-objective design optimization solution strategy, where economic and environmental criteria are simultaneously considered and properly traded off. A case study of a supermarket energy systems design is presented to illustrate the key steps and potential of the proposed energy systems engineering approach.

Suggested Citation

  • Liu, Pei & Pistikopoulos, Efstratios N. & Li, Zheng, 2010. "An energy systems engineering approach to the optimal design of energy systems in commercial buildings," Energy Policy, Elsevier, vol. 38(8), pages 4224-4231, August.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:8:p:4224-4231
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    15. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
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    17. Flores, Robert J. & Shaffer, Brendan P. & Brouwer, Jacob, 2014. "Dynamic distributed generation dispatch strategy for lowering the cost of building energy," Applied Energy, Elsevier, vol. 123(C), pages 196-208.
    18. Fazlollahi, Samira & Mandel, Pierre & Becker, Gwenaelle & Maréchal, Francois, 2012. "Methods for multi-objective investment and operating optimization of complex energy systems," Energy, Elsevier, vol. 45(1), pages 12-22.
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    21. Cedillos Alvarado, Dagoberto & Acha, Salvador & Shah, Nilay & Markides, Christos N., 2016. "A Technology Selection and Operation (TSO) optimisation model for distributed energy systems: Mathematical formulation and case study," Applied Energy, Elsevier, vol. 180(C), pages 491-503.
    22. Li, Weiqi & Dai, Yaping & Ma, Linwei & Hao, Han & Lu, Haiyan & Albinson, Rosemary & Li, Zheng, 2015. "Oil-saving pathways until 2030 for road freight transportation in China based on a cost-optimization model," Energy, Elsevier, vol. 86(C), pages 369-384.
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