TY - JOUR
AU1 - Oye, Tosin T.
AU2 - Gupta, Naren
AU3 - Goh, Keng
AU4 - Oye, Toyosi K.
AU5 - 
AB - 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 CO 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 http://emsd.macrothink.org 1 Environmental Management and Sustainable Development ISSN 2164-7682 2022, Vol. 11, No. 1 backpropagation neural network was optimised using Matlab to control the CO 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 
TI - Development of Sustainable Indoor Air Quality for Air-Conditioning System Using Smart Control Techniques
JF - Environmental Management and Sustainable Development
DO - 10.5296/emsd.v11i1.19027
DA - 2021-11-17
UR - https://www.deepdyve.com/lp/unpaywall/development-of-sustainable-indoor-air-quality-for-air-conditioning-Tf0C0OJqf0
DP - DeepDyve
ER -