%0 Journal Article %T Design and Optimization of Smart Central Heating Units for Homes; Energy and Environment Nexus %J Environmental Energy and Economic Research %I Environmental Energy and Economic Research %Z 2538-4988 %A Fazeli, Atila %A Pardakhti, Ali Reza %A Zahed, Mohammad Ali %A Mirkhani, Vahid %D 2021 %\ 08/01/2021 %V 5 %N 3 %P 1-10 %! Design and Optimization of Smart Central Heating Units for Homes; Energy and Environment Nexus %K Central Heating Unit %K optimization %K Boiler room Pollution %K burner %R 10.22097/eeer.2021.249645.1170 %X Due to urban extension, air pollution is continuously getting to be a vital issue in present day social orders, particularly in metropolitan zones. Owing to the tremendous characteristic gas assets in Iran, a significant number of residential, commercial and industrial sectors use the central heating unit (CHU) as a source for warming. Emission of pollutants from these sources not only increases environmental degradation and energy consumption, but it also decreases the working life of heating systems and the safety factor. Thus, planning and improvement of inventive frameworks in this division can result in noteworthy diminishment of pollution and increment of energy consumption productivity. In this paper, a smart CHU has been designed and implemented, using an innovative intelligent network with the aim of optimizing burner performance in a 2250 square meter residential building. Furthermore, carbon monoxide (CO) emission and fuel consumption were analyzed and reduced simultaneously. The use of software and hardware elements in the design has reduced the working hours of the burner and improved its performance according to the required heat capacity at different times of the day. The result of this innovation showed a reduction in CO emission by 28% and an increment in energy saving by 25%, in comparison to the initial state. This study further indicates how intelligent control can significantly lower the pollution and optimize energy consumption. %U https://www.eeer.ir/article_130073_ba5fa16192184e3af7c7235849db95e4.pdf