Improved pre-calculation of solar thermal production for MILP-based optimization problems
Résumé
The decarbonisation of heat supply in district heating network can be achieved through solar thermal systems, providing a carbon-free and competitive energy. Their integration with large-scale thermal storage allows for enhancing solar fraction by utilizing summer heat during winter months. However, conventional optimization tools often treat solar thermal production as a simple input, potentially leading to miscalculations and neglecting the influence of storage behavior on the thermal solar production. The presence of a thermal storage especially influences both the temperature and the mass flow observed by the solar plant. In this context, a good prediction of solar production is crucial for a better computation of the system. We propose here a 6-step methodology based on simulation and optimization models to enhance solar thermal production pre-calculation. With this methodology, the predicted solar production has resulted in an average error of 3.4% compared to the final solar production obtained after convergence of optimization/simulation of the entire plant, on six district heating cases studies. The latter has to be compared with an average error of 10% when using a state-of-the-art approach for the solar production calculation
Domaines
Sciences de l'ingénieur [physics]Origine | Fichiers produits par l'(les) auteur(s) |
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