TY - JOUR ID - 130073 TI - Design and Optimization of Smart Central Heating Units for Homes; Energy and Environment Nexus JO - Environmental Energy and Economic Research JA - EEER LA - en SN - 2538-4988 AU - Fazeli, Atila AU - Pardakhti, Ali Reza AU - Zahed, Mohammad Ali AU - Mirkhani, Vahid AD - College of Environment, University of Tehran (Kish International Campus), Kish, Iran AD - School of Environment, College of Engineering, University of Tehran, Tehran, Iran AD - Faculty of Biological Sciences, Kharazmi University, Tehran, Iran AD - Department of Physics, Auburn University, Auburn, AL 36849, USA Y1 - 2021 PY - 2021 VL - 5 IS - 3 SP - 1 EP - 10 KW - Central Heating Unit KW - optimization KW - Boiler room Pollution KW - burner DO - 10.22097/eeer.2021.249645.1170 N2 - 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. UR - https://www.eeer.ir/article_130073.html L1 - https://www.eeer.ir/article_130073_ba5fa16192184e3af7c7235849db95e4.pdf ER -