Abstract
Air Conditioner (AC), Heating Ventilation and Air Conditioning (HVAC) are the basic needs of modern society. Some parameters in AC system (other than cooling inside room area), if not controlled, may cause discomfort to the occupants. These parameters could be excess of CO2, humidity and alike, accumulated in the room. Two major concerns about the conventional controls include: (1) Wastage of energy due to variation in load changes and external disturbances, and (2) Accumulation of CO2 inside closed room. If the refrigeration load and capacity of plant remains constant then there may be no need to opt for a new control strategy. However in practice, the two parameters do fluctuate. In order to resolve the above two concerns, efforts were made by the authors to design and implement Type 1 Fuzzy Inference System (Type 1 FIS)—commonly known as Fuzzy Expert System. Environment Friendly—the term used in the chapter relates to reduction in CO2 level in the room resulting in partial indoor air pollution control. The detailed control instrumentation used in fuzzy logic control is the integral part of the chapter.
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Kshirsagar, R., Patil, C., Deshpande, A. (2014). Development of Environment Friendly Air Conditioner Using Fuzzy logic. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Directions in Soft Computing. Studies in Fuzziness and Soft Computing, vol 317. Springer, Cham. https://doi.org/10.1007/978-3-319-06323-2_24
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DOI: https://doi.org/10.1007/978-3-319-06323-2_24
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