Author:
Baniyounes Ali M.,Ghadi Yazeed Yasin,Radwan Eyad,Al-Olimat Khalid S.
Abstract
<span>The main aim of this study is to support design and development processes of advanced fuzzy-logic-based controller for smart buildings e.g., heating, ventilation and air conditioning, heating, ventilation and air conditioning (HVAC) and indoor lighting control systems. Moreover, the proposed methodology can be used to assess systems energy and environmental performances, also compare energy usages of fuzzy control systems with the performances of conventional on/off and proportional integral derivative controller (PID). The main objective and purpose of using fuzzy-logic-based model and control is to precisely control indoor thermal comfort e.g., temperature, humidity, air quality, air velocity, thermal comfort, and energy balance. Moreover, this article present and highlight mathematical models of indoor temperature and humidity transfer matrix, uncertainties of users’ comfort preference set-points and a fuzzy algorithm.</span>
Publisher
Institute of Advanced Engineering and Science
Subject
Electrical and Electronic Engineering,General Computer Science
Cited by
2 articles.
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1. Envisioning Revolutionary Technological Changes: The Future Terrain of Fuzzy Logic;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
2. Decision System for Ensuring Thermal Comfort of Occupants in a Smart Building;2023 24th International Conference on Control Systems and Computer Science (CSCS);2023-05