Optimal management of thermal energy in a solar/geothermal hybrid process for heating buildings

Environmental issues, energy and economic challenges, lead to propose new solutions for energy management in order to avoid brutal energy recession. Considering the international institutions such as the IPCC report, it's now established that the Earth's average temperature is rising and essentially caused by human activities. The work realized and presented in this manuscript is designed to address these issues using a methodology based on the optimization of the energy management in a hybrid process combining solar and geothermal energy for house heating. The use of artificial intelligence methodologies such as Adaptive Neural-Fuzzy Inference Systems and fuzzy logic enabled to develop a simulation platform for a hybrid energy system and to manage it using fuzzy controllers. The obtained results, using these controllers, show that a judicious choice of operating periods and durations of the extraction system can significantly improve the process power consumption and operating cost are clearly reduced, while respecting the technical operating constraints and thermal needs of residents. (author)