Skip to Main content Skip to Navigation

Optimization of an innovative thermal energy storage technology at low temperatures when coupled to multi-source energy architectures

Abstract : One of the most promising technics used in building applications for energy efficiency purposes is the thermal energy storage (TES). Despite the thorough research on TES techniques of the last years, the release to market of cost effective technologies is quite recent. The aim of this study is to optimize the energetic behavior of an innovative TES technology consisting on a water/PCM exchanger that is part of the multi-energy production and storage systems of HIKARI, a positive energy district located in Lyon and consisting of three buildings. In order to optimize this innovative technic, a numerical model reproducing the functioning of the reference system was created. In order to make a numerical validation a second numerical model was developed using a different software based on a different numerical method and, once the in situ data obtained from the reference system monitoring, a first experimental validation was obtained. Subsequently, an innovative experimental prototype reproducing the behavior of the reference PCM-Water heat exchanger has been realized, in order to validate and calibrate the numerical model and carry out a large amount of operating scenarios. Once the model numerically and experimentally validated, the optimization of the HIKARI’s cold storage system technology has been obtained using Genetic Algorithms (GAs) finding the best values to allocate to four characteristics of the cold storage system, in order to minimize two predefined objective functions linked to its functioning. This work was supported by the French Agency for Environment and Energy Management (ADEME) and it was part of the project “Optimization of innovative energy storage technologies when coupled to multi-sources energy architectures”, in cooperation with Bouygues immobilier and Manaslu – CMDL.
Complete list of metadatas
Contributor : Abes Star :  Contact
Submitted on : Wednesday, February 21, 2018 - 1:56:05 PM
Last modification on : Wednesday, November 20, 2019 - 2:26:50 AM
Long-term archiving on: : Tuesday, May 22, 2018 - 1:40:51 PM


Version validated by the jury (STAR)


  • HAL Id : tel-01714308, version 1



Letizia Roccamena. Optimization of an innovative thermal energy storage technology at low temperatures when coupled to multi-source energy architectures. Thermics [physics.class-ph]. Université de Lyon, 2017. English. ⟨NNT : 2017LYSET010⟩. ⟨tel-01714308⟩



Record views


Files downloads