PhD Oral Exam - Anthony Rey, Building Engineering
When studying for a doctoral degree (PhD), candidates submit a thesis that provides a critical review of the current state of knowledge of the thesis subject as well as the student’s own contributions to the subject. The distinguishing criterion of doctoral graduate research is a significant and original contribution to knowledge.
Once accepted, the candidate presents the thesis orally. This oral exam is open to the public.
Solar thermal combisystems can significantly reduce primary energy consumption for residential buildings and therefore cut down greenhouse gas emissions; however, the overall performance of such systems depends on their design (i.e., configuration and sizing of their components) and operating conditions. Designing solar thermal combisystems can be improved by using optimization methods. As a result, this doctoral thesis introduces a multiobjective optimization framework for optimizing the configuration and equipment sizing of solar thermal combisystems. A micro-time variant multi-objective particle swarm optimization (micro-TVMOPSO) algorithm is also developed for handling engineering optimization problems, such as the multi-objective optimization of solar combisystems, where evaluating objective functions is time-consuming. The proposed framework uses a generic solar combisystem model coupled with the micro-TVMOPSO algorithm to find a set of optimized combisystem designs. Applied to two case studies, the multi-objective optimization framework was able to find combisystem designs reducing the life cycle cost, life cycle energy use, and life cycle exergy destroyed. The proposed multi-objective optimization framework can therefore be used to get the most out of solar thermal combisystems given specific economic and environmental conditions.