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A holarchic approach for multi-scale distributed energy system optimisation

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  • Marquant, Julien F.
  • Evins, Ralph
  • Bollinger, L. Andrew
  • Carmeliet, Jan

Abstract

The benefits of decentralised energy systems can be realised through the optimal siting of distributed energy systems and the design of highly interlinked district heating networks within existing electrical and gas networks. The problem is often formulated as a Mixed Integer Linear Programming (MILP) problem. MILP formulations are efficient and reliable, however the computational burden increases drastically with the number of integer variables, making detailed optimisation infeasible at large urban scales. To tackle complex problems at large scale the development of an efficient and robust simplification method is required. This paper presents an aggregation schema to facilitate the optimisation of urban energy systems at city scale.

Suggested Citation

  • Marquant, Julien F. & Evins, Ralph & Bollinger, L. Andrew & Carmeliet, Jan, 2017. "A holarchic approach for multi-scale distributed energy system optimisation," Applied Energy, Elsevier, vol. 208(C), pages 935-953.
    • Handle: RePEc:eee:appene:v:208:y:2017:i:c:p:935-953
    DOI: 10.1016/j.apenergy.2017.09.057
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    References listed on IDEAS

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