Development of Optimized Smart Indoor Control for Renewable Air-Conditioning

Oye, Tosin T.; Gupta, Naren; Goh, Keng; Oye, Toyosi K.

Abstract

This paper presents the modelling of smart indoor control for renewable air-conditioning using fuzzy logic control and proportional-integral-derivatives for improved thermal comfort. The proposed control techniques are systematically designed and tuned to achieve the system best performance without cost of iterative optimisation. The outcome established that the optimized smart system controller possesses exceptional performance on well-organized auto-tuning of the parameters of proportional-integral-derivative exclusively once required. Therefore, there is improvement, steadiness and productivity of the system control for greener solutions to the worlds energy requirements.

Citation

Oye, T. T., Gupta, N., Goh, K., & Oye, T. K. (2020, September). Development of Optimized Smart Indoor Control for Renewable Air-Conditioning. Presented at 2020 9th International Conference on Renewable Energy Research and Application (ICRERA), Glasgow, United Kingdom

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2020 9th International Conference on Renewable Energy Research and Application (ICRERA)
• Start Date: Sep 27, 2020
• End Date: Sep 30, 2020
• Online Publication Date: Nov 2, 2020
• Publication Date: 2020
• Deposit Date: Jun 30, 2022
• Publisher: Institute of Electrical and Electronics Engineers
• Series ISSN: 2572-6013
• Book Title: 2020 9th International Conference on Renewable Energy Research and Application (ICRERA)
• DOI: https://doi.org/10.1109/icrera49962.2020.9242846
• Public URL: http://researchrepository.napier.ac.uk/Output/2883814