Review of HVAC Systems History and Future Applications
DeQuante Rashon Mckoy (),
Raymond Charles Tesiero (),
Yaa Takyiwaa Acquaah () and
Balakrishna Gokaraju
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DeQuante Rashon Mckoy: Department of Computational Science and Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA
Raymond Charles Tesiero: Department of Civil Architect & Environmental Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA
Yaa Takyiwaa Acquaah: Department of Computational Science and Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA
Balakrishna Gokaraju: Department of Computational Science and Engineering, North Carolina Agricultural and Technical State University, Greensboro, NC 27411, USA
Energies, 2023, vol. 16, issue 17, 1-15
Abstract:
Today, HVAC (heating, ventilation, and air conditioning) systems have become an integral part of modern buildings and are designed to provide comfortable indoor environments while conserving energy and reducing carbon emissions. With advancement in technology, HVAC systems have a variety of sensors that are used to detect the occupants within a controlled environment. Advancements in computer control systems and the use of smart technology have made HVAC systems even more sophisticated, allowing for approximate temperature control and energy management. This paper will review the historical development of technology and the current state of HVAC systems. With the proper data, development of artificial intelligence models can, in theory, improve the overall optimization and reduce energy consumption This paper will provide a review of HVAC history and the key concepts around the usefulness of using AI from previous research conducted in this field of study.
Keywords: HVAC; heating; cooling; deep learning; artificial intelligence (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: 2023
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Citations: View citations in EconPapers (2)
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