Challenges in heat network design optimization

doi:10.1016/j.energy.2020.117688

2020-07-01

PRE

P. J. P. Egberts *

Ryvo Octaviano

DOI：10.1016/j.energy.2020.117688

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摘要

En 中文

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. (C) 2020 Elsevier Ltd. All rights reserved.

Keyword:

Heat network

Network topology optimization

Genetic algorithm

Uncertainty

Robust optimization

Mixed integer programming

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期刊

Energy

IF:

9.4

论文数:

4.3W

被引数:

20.2W

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