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Simultaneous optimization of the district heating network topology and the Organic Rankine Cycle sizing of a geothermal plant

Fabien Marty, Sylvain Serra, Sabine Sochard and Jean-Michel Reneaume

Energy, 2018, vol. 159, issue C, 1060-1074

Abstract: This contribution presents the optimization of parallel distribution between electricity and heat production for a geothermal plant. The geothermal fluid is split into two streams, one used for an Organic Rankine Cycle (ORC) system, and the other for a District Heating Network (DHN). The superstructure to be used for the optimization problem includes the ORC components, one of which is an optional internal heat exchanger which allows exchange between the outlet streams of the turbine and the pump. Each of the components' characteristic dimensions (used in the installation cost) is an optimization variable. The operating cost of the ORC is proportional to the installation cost. The superstructure also includes the DHN topology constituted by a definite consumer and optional consumers. A Mixed Integer Non-Linear Programming (MINLP) optimization problem is formulated and solved using the GAMS software. The strategy used to overcome the critical point of the initialization of the MINLP problem is presented. It consists in dividing the general problem into sub-problems which are solved successively. Three different academic study cases are compared to a reference case. The results validate the stability and the robustness of this optimization tool. A sensitivity analysis is performed in geothermal source conditions. All these results highlight the relevance of the simultaneous approach.

Keywords: Economic optimization; Geothermal power plant; Combined heat and power (CHP); District heating network (DHN); Organic Rankine cycle (ORC); Mixed integer non-linear programming (MINLP) (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:159:y:2018:i:c:p:1060-1074

DOI: 10.1016/j.energy.2018.05.110

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