Review of Intelligent Control Systems for Natural Ventilation as Passive Cooling Strategy for UK Buildings and Similar Climatic Conditions

Esmail Mahmoudi Saber, Issa Chaer, Aaron Gillich and Bukola Grace Ekpeti
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Esmail Mahmoudi Saber: Department of Civil and Building Services Engineering, School of the Built Environment and Architecture, London South Bank University, London SE1 0AA, UK
Issa Chaer: Department of Civil and Building Services Engineering, School of the Built Environment and Architecture, London South Bank University, London SE1 0AA, UK
Aaron Gillich: Department of Civil and Building Services Engineering, School of the Built Environment and Architecture, London South Bank University, London SE1 0AA, UK
Bukola Grace Ekpeti: Department of Civil and Building Services Engineering, School of the Built Environment and Architecture, London South Bank University, London SE1 0AA, UK

Energies, 2021, vol. 14, issue 15, 1-16

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.

Keywords: ventilative cooling; natural ventilation; intelligent control system; buildings; fuzzy logic control; neural network; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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