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Experience and Memory Principle for Adaptive Indoor Thermal Comfort

Karyono, K, Abdullah, B, Cotgrave, A and Brás, A Experience and Memory Principle for Adaptive Indoor Thermal Comfort. In: 11th International Conference on Intelligent Energy Management, Electronics, Electric & Thermal Power, Robotics and Automation (IEMERA 2020), 01 October 2020 - 03 October 2020, London, Virtual. (Accepted)

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There are two major methods for solving thermal comfort problems. The Predicted Mean Vote - Predicted Percentage Dissatisfied (PMV-PPD) is using the thermal physiology approach, while the adaptive method uses the human behaviour approach. The elder people group is predicted to reach about 17% and the disabled people group is about 15% of the world population. PMV-PPD method has limitations in accommodating the disabled and elder groups of people. They can rely on the adaptive approach. This work proposes the adaptive approach improvement using the concept of Nobel Prize winner, Daniel Kahneman, the experience and memory principle. The use of this principle for indoor adaptive thermal comfort system will give the advantages to meet the special group of people's needs. The adaptive system will be more human-oriented. The people's perception of the smart system also being assessed to gain more thrust which can be an important factor for comfort. This will give the ability for the smart control system to give not only the experience which is comfortable but also memorable. This memorized comfort feeling and system thrust will lead to the efficient use of the smart algorithm for minimizing energy use and minimizing health threats over the cold and heat waves which most likely to happen due to Global Climate Change.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Indoor thermal comfort; disable and elder people group,; adaptive method,; PMV-PPD; the principle of experience and memory
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TD Environmental technology. Sanitary engineering
Divisions: Engineering
Date Deposited: 07 May 2021 12:26
Last Modified: 13 Apr 2022 15:18
URI: https://researchonline.ljmu.ac.uk/id/eprint/14869
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