Table of Contents
Appl. Syst. Innov., Volume 2, Issue 2 (June 2019)
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Cover Story (view full-size image) Producing domestic hot water efficiently from renewable energy sources is important to reduce [...] Read more. Producing domestic hot water efficiently from renewable energy sources is important to reduce anthropogenic carbon emissions. The efficiency of solar systems can be improved by adopting controllers to optimize their operations and adapt to changes in the environmental conditions. This paper presents a comparative analysis of several control methods, including a self-learning, coupled fuzzy control/Q-learning controller applied on a simulated domestic hot water system. Several 5-year simulations were performed to assess the performance of the controllers with respect to the energy harvesting process, the global system performance and the impact on the primary circulator durability. View this paper.