Abstract
Air-conditioning as a technical solution to protect inhabitants from excessive heat exposure creates the challenge of expanding indoor health effects. While air-conditioning has mostly been applied as an improvement to living conditions, health and environmental problems associated with its use frequently occurs. Therefore, this paper challenges and extends existing knowledge on sustainability related to the smart air-conditioning systems. The decrease of CO2 level in building requires an intelligent control system because energy utilisation has been legitimately connected with wellbeing and eventually to operational expenses. A building’s indoor environmental essential factors of comfort are IAQ, visual and thermal. Through an appropriate structured controller, the performance of indoor control system can be altogether improved. It merits creating innovative control techniques to optimise the indoor environment quality for air-conditioning system. The newly proposed backpropagation neural network was optimised using Matlab to control the CO2 level appropriately while carefully taking into account the performance of system controllers such as the stability, adaptability, speed response and overshoot. The controller of indoor environment was designed, and the proportional-integral-derivative control was utilised as a result of its suitability. The smart controllers were designed to regulate the parameters automatically to ensure the optimised control output. The indoor CO2 possesses an appropriate time constant and settling time of 2.1s and 27.3s, respectively. Therefore, utilising smart control techniques to exterminate various indoor health effects is expected to produce sustainable living conditions.
Highlights
Sustainability was primarily characterised more than 30 years ago and is broadly acknowledged as a significant conceptual framework inside which to situate municipal development and policy
For the purpose of attaining and sustaining the appropriate level of IAQ (CO2), backpropagation NN which is based upon PID is designed in this paper
The IAQ can be well-controlled grounded upon the theoretical dialogue of the algorithm of the backpropagation NN which is based upon PID controller that possesses the subsequent capacities:
Summary
Sustainability was primarily characterised more than 30 years ago and is broadly acknowledged as a significant conceptual framework inside which to situate municipal development and policy. As material utilisation and energy nodes, urban areas are causally connected to quickening worldwide natural deterioration and are not sustainable through themselves. Urban areas and their occupants can undertake a significant work in accomplishing worldwide sustainability (Wilhite, 2009; Campbell, 2013; Oye et al, 2020b). The scholarly investigation of sustainable development currently holds an assortment of points of view and methodologies. It incorporates various practices and policies based on common agrarian utopianism in the direction of capital-intensive large-scale client market growth. The well-being of human is at the focal point of investigation when considering the utilisation of air-conditionings (Kjellstrom et al, 2009; Aftab et al, 2013; Lenzer et al, 2020)
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