Abstract
Natural ventilation is gaining more attention from architects and engineers as an alternative way of cooling and ventilating indoor spaces. Based on building types, it could save between 13 and 40% of the building cooling energy use. However, this needs to be implemented and operated with a well-designed and integrated control system to avoid triggering discomfort for occupants. This paper seeks to review, discuss, and contribute to existing knowledge on the application of control systems and optimisation theories of naturally ventilated buildings to produce the best performance. The study finally presents an outstanding theoretical context and practical implementation for researchers seeking to explore the use of intelligent controls for optimal output in the pursuit to help solve intricate control problems in the building industry and suggests advanced control systems such as fuzzy logic control as an effective control strategy for an integrated control of ventilation, heating and cooling systems.
| Original language | English |
|---|---|
| Article number | 4388 |
| Pages (from-to) | e4388 |
| Journal | Energies |
| Volume | 14 |
| Issue number | 15 |
| DOIs | |
| Publication status | Published - 21 Jul 2021 |
Bibliographical note
Publisher Copyright:© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- Buildings
- Fuzzy logic control
- Genetic algorithm
- Intelligent control system
- Natural ventilation
- Neural network
- Ventilative cooling
