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A Dynamic Optimization Tool to Size and Operate Solar Thermal District Heating Networks Production Plants

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  • Régis Delubac

    (LaTEP (Laboratory of Thermics, Energetics and Processes), E2S UPPA, Universite de Pau et des Pays de l’Adour, 64000 Pau, France)

  • Sylvain Serra

    (LaTEP (Laboratory of Thermics, Energetics and Processes), E2S UPPA, Universite de Pau et des Pays de l’Adour, 64000 Pau, France)

  • Sabine Sochard

    (LaTEP (Laboratory of Thermics, Energetics and Processes), E2S UPPA, Universite de Pau et des Pays de l’Adour, 64000 Pau, France)

  • Jean-Michel Reneaume

    (LaTEP (Laboratory of Thermics, Energetics and Processes), E2S UPPA, Universite de Pau et des Pays de l’Adour, 64000 Pau, France)

Abstract

The aim of the ISORC/OPTIMISER project is to increase and improve the use of solar thermal energy in district heating networks. One of the main tasks of the project is to develop an optimization tool for the sizing and operation of a solar district heating network. This is the first optimization tool using an open-source interface (Julia, JuMP) and solver (Ipopt) to solve nonlinear problems. This paper presents the multi-period optimization problem which is implemented to consider the dynamic variations in a year, represented by four typical days, with an hourly resolution. The optimum is calculated for a total duration of 20 years. First, this paper presents the modeling of the different components of a solar district heating network production plant: district network demand, storage and three sources, i.e., a fossil (gas) and two renewable (solar and biomass) sources. In order to avoid prohibitive computational time, the modeling of sources and storage has to be fairly simple. The multi-period optimization problem was formulated. The chosen objective function is economic: The provided economic model is accurate and use nonlinear equations. Finally the formulated problem is a nonlinear Programming problem. Optimization of the studied case exhibits consistent operating profiles and design. A comparison is made of different types of storage connection at the production site, highlighting the relevance of placing the storage at the solar field outlet. The optimum configuration supplies 49% of demand using solar energy, achieving a renewable rate of 69% in combination with the biomass boiler.

Suggested Citation

  • Régis Delubac & Sylvain Serra & Sabine Sochard & Jean-Michel Reneaume, 2021. "A Dynamic Optimization Tool to Size and Operate Solar Thermal District Heating Networks Production Plants," Energies, MDPI, vol. 14(23), pages 1-27, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:8003-:d:691969
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    1. Régis Delubac & Mohammad Sadr & Sabine Sochard & Sylvain Serra & Jean-Michel Reneaume, 2023. "Optimized Operation and Sizing of Solar District Heating Networks with Small Daily Storage," Energies, MDPI, vol. 16(3), pages 1-20, January.
    2. Untrau, Alix & Sochard, Sabine & Marias, Frédéric & Reneaume, Jean-Michel & Le Roux, Galo A.C. & Serra, Sylvain, 2024. "Storage management in a rolling horizon Dynamic Real-Time Optimization (DRTO) methodology for a non-concentrating solar thermal plant for low temperature heat production," Applied Energy, Elsevier, vol. 360(C).
    3. Lizárraga-Morazán, Juan Ramón & Picón-Núñez, Martín, 2023. "Optimal sizing and control strategy of low temperature solar thermal utility systems," Energy, Elsevier, vol. 263(PC).

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