Integration of psychological parameters into a thermal sensation prediction model for intelligent control of the HVAC systems

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2023

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Elsevier Science Sa

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Energy Systems Engineering
(2009)
The Department of Energy Systems Engineering admitted its first students and started education in the academic year of 2009-2010 under Atılım University School of Engineering. In this Department, all kinds of energy are presented in modules (conventional energy, renewable energy, hydrogen energy, bio-energy, nuclear energy, energy planning and management) from their detection, production and procession; to their transfer and distribution. A need is to arise for a surge of energy systems engineers to ensure energy supply security and solve environmental issues as the most important problems of the fifty years to come. In addition, Energy Systems Engineering is becoming among the most important professions required in our country and worldwide, especially within the framework of the European Union harmonization process, and within the free market economy.
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Mechanical Engineering
(2009)
The Atılım University Department of Mechanical Engineering started education in 2009, and offers graduate and doctorate degree programs, in addition to its undergraduate program. Our main goal is to graduate Mechanical Engineers who have the skills to design, analyze and synthesize; who are able to convert advanced technology and innovations into products; and who have the culture of research and cooperation. While our graduates reach this goal, they adopt the principle of life-long learning, and develop a sense of entrepreneurship, paying importance to professional ethics. With a curriculum prepared in line with the criteria of MÜDEK, we help our students develop themselves professionally, and socially. Graduates of mechanical engineering may be employed in many sectors and in a wide array of positions. Able to work under any field that involves production and energy conversion, graduates of the department may also gain expertise in fields such as aviation, automotive, or material engineering.
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Department of Mechanical Engineering
(2016)
The Mechanical Engineering Doctoral Program has started in 2016-2017 academic year. We have highly qualified teaching and research faculty members and strong research infrastructure in the department for graduate work. Research areas include computational and experimental research in fluid and solid mechanics, heat and mass transfer, advanced manufacturing, composites and other advanced materials. Our fundamental mission is to train engineers who are able to work with advanced technology, create innovative approaches and authentic designs, apply research methods effectively, conduct research and develop high quality methods and products in space, aviation, defense, medical and automotive industries, with a contemporary education and research infrastructure.

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Abstract

Conventional thermal comfort models take physiological parameters into account on thermal comfort models. On the other hand, psychological behaviors are also proven as a vital parameter which affects the thermal sensation. In the literature, limited studies which combine both physiological and psychological parameters on the thermal sensation models are exist. To this aim, this study develops a novel Thermal Sensation Prediction Model (TSPM) in order to control the HVAC system by considering both parameters. A data-driven TSPM, which includes Fuzzy Logic (FL) model, is developed and coded using Phyton language by the authors. Two physiological parameters (Mean Radiant Temperature and External Temperature) and one psychological parameter (Emotional Intensity Score (EIS) including Vigour, Depression, Tension with total of 32 subscales) are selected as inputs of the model. Besides the physiological parameters which are decided intentionally considering a manual ventilated building property, the most influencing three sub- psychological parameters on thermal sensation are also selected in the study. While the physiological parameters are measured via environmental data loggers, the psychological parameters are collected simultaneously by the Profile of Mood States questionnaire. A total of 1159 students are participated to the questionnaire at a university study hall between 15th of August 2021 and 15th of September 2022. The results showed that the novel model predicted Thermal Sensation Vote (TSV) with an accuracy of 0.92 of R2. The output of this study may help to develop an integrated Heating Ventilating and Air Conditioning (HVAC) system with Artificial Intelligence - enabled Emulators that also includes psychological parameters.

Description

Sadigh, Bahram Lotfi/0000-0002-3027-3734; ÖZBEY, Mehmet Furkan/0000-0002-5813-3514; TURHAN, Cihan/0000-0002-4248-431X

Keywords

Adaptive Thermal Comfort, Human Behavior, Psychology, Emotional Intensity

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296

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https://doi.org/10.1016/j.enbuild.2023.113404
 https://hdl.handle.net/20.500.14411/2202

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