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Cited 4 time in webofscience Cited 16 time in scopus
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Smart building climate control considering indoor and outdoor parameters

Authors
Omarov, B.Altayeva, A.Cho, Y.I.
Issue Date
2017
Publisher
Springer Verlag
Keywords
Fuzzy logic; HVAC systems; Indoor microclimate; Thermal balance
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.10244 LNCS, pp.412 - 422
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
10244 LNCS
Start Page
412
End Page
422
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/6621
DOI
10.1007/978-3-319-59105-6_35
ISSN
0302-9743
Abstract
Heating, ventilation, and air conditioning (HVAC systems) account for the majority of the energy used in buildings. Consequently, any business has the potential to realize significant cost savings by improving control of HVAC operations and increase the efficiency of the system it uses. Using a highly efficient HVAC equipment can lead to significant energy and emissions savings. The entire structure of the building in combination with the enhanced comfort zone can produce a much greater savings. Extended comfort includes the use of concepts such as providing a warm, but drier air using a desiccant dehumidification in the summer, or the colder air from the warm walls of windows and warm in winter. In addition, high efficiency HVAC can provide enhanced thermal comfort for people, as well as to contribute to the improvement of environmental quality in the room. The paper explores thermal process and the affecting parameters, and introduce fuzzy logic based energy consumption model based on controlling of HVAC devices. © IFIP International Federation for Information Processing 2017.
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College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
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