2 research outputs found
Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review
Different factors such as thermal comfort, humidity, air quality, and noise
have significant combined effects on the acceptability and quality of the
activities performed by the building occupants who spend most of their times
indoors. Among the factors cited, thermal comfort, which contributes to the
human well-being because of its connection with the thermoregulation of the
human body. Therefore, the creation of thermally comfortable and energy
efficient environments is of great importance in the design of the buildings
and hence the heating, ventilation and air-conditioning systems. Recent works
have been directed towards more advanced control strategies, based mainly on
artificial intelligence which has the ability to imitate human behavior. This
systematic literature review aims to provide an overview of the intelligent
control strategies inside building and to investigate their ability to balance
thermal comfort and energy efficiency optimization in indoor environments.
Methods. A systematic literature review examined the peer-reviewed research
works using ACM Digital Library, Scopus, Google Scholar, IEEE Xplore (IEOL),
Web of Science, and Science Direct (SDOL), besides other sources from manual
search. With the following string terms: thermal comfort, comfort temperature,
preferred temperature, intelligent control, advanced control, artificial
intelligence, computational intelligence, building, indoors, and built
environment. Inclusion criteria were: English, studies monitoring, mainly,
human thermal comfort in buildings and energy efficiency simultaneously based
on control strategies using the intelligent approaches. Preferred Reporting
Items for Systematic Reviews and Meta-Analysis guidelines were used. Initially,
1,077 articles were yielded, and 120 ultimately met inclusion criteria and were
reviewed.Comment: 1 table of 20 pages representing the latest research done in
application of AI in buildin
Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Building operations represent a significant percentage of the total primary
energy consumed in most countries due to the proliferation of Heating,
Ventilation and Air-Conditioning (HVAC) installations in response to the
growing demand for improved thermal comfort. Reducing the associated energy
consumption while maintaining comfortable conditions in buildings are
conflicting objectives and represent a typical optimization problem that
requires intelligent system design. Over the last decade, different
methodologies based on the Artificial Intelligence (AI) techniques have been
deployed to find the sweet spot between energy use in HVAC systems and suitable
indoor comfort levels to the occupants. This paper performs a comprehensive and
an in-depth systematic review of AI-based techniques used for building control
systems by assessing the outputs of these techniques, and their implementations
in the reviewed works, as well as investigating their abilities to improve the
energy-efficiency, while maintaining thermal comfort conditions. This enables a
holistic view of (1) the complexities of delivering thermal comfort to users
inside buildings in an energy-efficient way, and (2) the associated
bibliographic material to assist researchers and experts in the field in
tackling such a challenge. Among the 20 AI tools developed for both energy
consumption and comfort control, functions such as identification and
recognition patterns, optimization, predictive control. Based on the findings
of this work, the application of AI technology in building control is a
promising area of research and still an ongoing, i.e., the performance of
AI-based control is not yet completely satisfactory. This is mainly due in part
to the fact that these algorithms usually need a large amount of high-quality
real-world data, which is lacking in the building or, more precisely, the
energy sector.Comment: arXiv admin note: text overlap with arXiv:2006.1255