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Decentralized operation strategies for an integrated building energy system using a memetic algorithm


  • Hu, Mengqi
  • Weir, Jeffery D.
  • Wu, Teresa


The emerging technology in net-zero building and smart grids drives research moving from centralized operation decisions on a single building to decentralized decisions on a group of buildings, termed a building cluster which shares energy resources locally and globally. However, current research has focused on developing an accurate simulation of single building energy usage which limits its application to building clusters as scenarios such as energy sharing and competition cannot be modeled and studied. We hypothesize that the study of energy usage for a group of buildings instead of one single building will result in a cost effective building system which in turn will be resilient to power disruption. To this end, this paper develops a decision model based on a building cluster simulator with each building modeled by energy consumption, storage and generation sub modules. Assuming each building is interested in minimizing its energy cost, a bi-level operation decision framework based on a memetic algorithm is proposed to study the tradeoff in energy usage among the group of buildings. Two additional metrics, measuring the comfort level and the degree of dependencies on the power grid are introduced for the analysis. The experimental result demonstrates that the proposed framework is capable of deriving the Pareto solutions for the building cluster in a decentralized manner. The Pareto solutions not only enable multiple dimensional tradeoff analysis, but also provide valuable insight for determining pricing mechanisms and power grid capacity.

Suggested Citation

  • Hu, Mengqi & Weir, Jeffery D. & Wu, Teresa, 2012. "Decentralized operation strategies for an integrated building energy system using a memetic algorithm," European Journal of Operational Research, Elsevier, vol. 217(1), pages 185-197.
  • Handle: RePEc:eee:ejores:v:217:y:2012:i:1:p:185-197
    DOI: 10.1016/j.ejor.2011.09.008

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    References listed on IDEAS

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    Cited by:

    1. Chen, Yang & Hu, Mengqi, 2016. "Balancing collective and individual interests in transactive energy management of interconnected micro-grid clusters," Energy, Elsevier, vol. 109(C), pages 1075-1085.
    2. repec:eee:appene:v:207:y:2017:i:c:p:427-437 is not listed on IDEAS
    3. Jafari-Marandi, Ruholla & Hu, Mengqi & Omitaomu, OluFemi A., 2016. "A distributed decision framework for building clusters with different heterogeneity settings," Applied Energy, Elsevier, vol. 165(C), pages 393-404.
    4. Hu, Mengqi, 2015. "A data-driven feed-forward decision framework for building clusters operation under uncertainty," Applied Energy, Elsevier, vol. 141(C), pages 229-237.
    5. repec:eee:ejores:v:266:y:2018:i:1:p:269-277 is not listed on IDEAS
    6. repec:eee:appene:v:205:y:2017:i:c:p:577-588 is not listed on IDEAS
    7. Ströhle, Philipp & Flath, Christoph M., 2016. "Local matching of flexible load in smart grids," European Journal of Operational Research, Elsevier, vol. 253(3), pages 811-824.
    8. Merkel, Erik & Fehrenbach, Daniel & McKenna, Russell & Fichtner, Wolf, 2014. "Modelling decentralised heat supply: An application and methodological extension in TIMES," Energy, Elsevier, vol. 73(C), pages 592-605.
    9. Azar, Elie & Nikolopoulou, Christina & Papadopoulos, Sokratis, 2016. "Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling," Applied Energy, Elsevier, vol. 183(C), pages 926-937.
    10. repec:eee:ejores:v:264:y:2018:i:2:p:582-606 is not listed on IDEAS
    11. Li, Xiwang & Wen, Jin & Malkawi, Ali, 2016. "An operation optimization and decision framework for a building cluster with distributed energy systems," Applied Energy, Elsevier, vol. 178(C), pages 98-109.
    12. Rong, Aiying & Figueira, José Rui & Lahdelma, Risto, 2015. "A two phase approach for the bi-objective non-convex combined heat and power production planning problem," European Journal of Operational Research, Elsevier, vol. 245(1), pages 296-308.
    13. repec:eee:energy:v:137:y:2017:i:c:p:556-565 is not listed on IDEAS
    14. Dai, Rui & Hu, Mengqi & Yang, Dong & Chen, Yang, 2015. "A collaborative operation decision model for distributed building clusters," Energy, Elsevier, vol. 84(C), pages 759-773.


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