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

Régis Delubac, Sylvain Serra, Sabine Sochard and Jean-Michel Reneaume
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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

Energies, 2021, vol. 14, issue 23, 1-27

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.

Keywords: solar thermal energy; district heating networks; multi-sources; economic nonlinear optimization; Julia (JuMP) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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