Challenges in heat network design optimization

Paul Egberts, Can Tümer, Kelvin Loh and Ryvo Octaviano

Energy, 2020, vol. 203, issue C

Abstract: Different stakeholders have different design considerations that shape a heating grid. In short term, these range from achieving lowest ownership costs to preventing monopolies. In long term, project developers focus on how uncertainties of design parameters (e.g. demand/supply, heat prices) affect the grid design and, ultimately, the business case. Currently, heat grids are designed through the evaluation of manually drafted topologies. Since there are many design options and uncertainties in the parameters, it is infeasible to evaluate all possibilities, leading to suboptimal designs. In this paper, numerical optimization approaches will be discussed that can assist with the conceptual grid design in a systematic manner to achieve an improved network topology. It will be explained how uncertainty, for example of demands, can be addressed to obtain a robust network design.

Keywords: Heat network; Network topology optimization; Genetic algorithm; Uncertainty; Robust optimization; Mixed integer programming (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:203:y:2020:i:c:s0360544220307957

DOI: 10.1016/j.energy.2020.117688

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