Study on adaptive thermal comfort in Japanese offices under various operation modes

Abstract This research focuses on determining thermal comfort and analysing adaptive opportunities in Japanese office buildings under various operation modes including free running (FR) mode. There are very limited studies on office buildings linking occupant's adaptive actions and various modes of operation, compared to studies on houses and air-conditioned buildings in Japan. Large data on Japanese lifestyle, socio-cultural setup and climate are required in order to construct the adaptive model that can be used for the design of indoor thermal environments of Japanese offices. We conducted questionnaire based field surveys to record thermal comfort responses of occupants and measured environmental variables simultaneously, in all the seasons in Tokyo and Kanagawa, Japan. The comfort temperature is evaluated with S E T ∗ (Standard effective temperature) in order to incorporate the effect of humidity and air velocity on thermal comfort. Nonlinear regression analysis is used to analyse the lower and upper limit of the optimum comfort temperature. Authors also examine adaptive models that can be used to design indoor thermal environment of Japanese office buildings under different operation modes. The limit of the optimum comfort temperature is shown at very low and high outdoor air temperature. The lower and upper limits of the optimum comfort temperature is approximately 23.5 °C and 26.6 °C in mixed-mode. In addition, it is seen that the optimum comfort temperature tends to increase and decrease at very low and high outdoor air temperatures respectively. We find behavioural adaptation related to clothing and window-opening leading to variation in the comfort temperature across different seasons.

[1]  D. Cox.  The Regression Analysis of Binary Sequences , 1958 .

[2]  L. Berglund,et al.  A standard predictive index of human response to the thermal environment , 1986 .

[3]  R. Dedear.  Developing an adaptive model of thermal comfort and preference , 1998 .

[4]  Hongwei Guo,et al.  A Simple Algorithm for Fitting a Gaussian Function , 2012 .

[5]  Junta Nakano,et al.  Thermal comfort and adaptation in semi-outdoor environments , 2004 .

[6]  Joseph Andrew Clarke,et al.  Development of adaptive algorithms for the operation of windows, fans, and doors to predict thermal comfort and energy use in Pakistani buildings , 2008 .

[7]  Standard Ashrae.  Thermal Environmental Conditions for Human Occupancy , 1992 .

[8]  Hiroshi Yoshino,et al.  Long-term field survey on thermal adaptation in office buildings in Japan , 2007 .

[9]  Sheikh Ahmad Zaki,et al.  Field study on adaptive thermal comfort in office buildings in Malaysia, Indonesia, Singapore, and Japan during hot and humid season , 2016 .

[10]  Ryozo Ooka,et al.  Field investigation of comfort temperature in Indian office buildings: A case of Chennai and Hyderabad , 2013 .

[11]  Ryozo Ooka,et al.  Thermal comfort in offices in summer: Findings from a field study under the ‘setsuden’ conditions in Tokyo, Japan , 2013 .

[12]  Hom B. Rijal,et al.  Towards an adaptive model for thermal comfort in Japanese offices , 2017 .

[13]  Gail Brager,et al.  Developing an adaptive model of thermal comfort and preference , 1998 .

[14]  Ryozo Ooka,et al.  Adaptive model of thermal comfort for offices in hot and humid climates of India , 2014 .

[15]  Michael A. Humphreys,et al.  Field Studies of Indoor Thermal Comfort and the Progress of the Adaptive Approach , 2007 .

[16]  Hom B. Rijal,et al.  Investigation of comfort temperature, adaptive model and the window-opening behaviour in Japanese houses , 2013 .

[17]  Hiroko Kubo,et al.  STUDY ON SEASONAL VARIATION OF THERMAL COMFORTABLE ZONE BY PSYCHOLOGICAL AND PHYSIOLOGICAL RESPONSE IN HOUSE , 2011 .

[18]  J. F. Nicol,et al.  Developing an adaptive control algorithm for Europe , 2002 .

[19]  Tetsumi Horikoshi,et al.  A STUDY ON EVALUATION OF JAPANESE PSYCHOLOGICAL RESPONSES TO THERMAL ENVIRONMENT BY WORD-CHOICE METHOD WITH A UNIPOLAR SCALE , 2001 .

[20]  J. F. Nicol,et al.  Understanding the adaptive approach to thermal comfort , 1998 .

[21]  F. Nicol,et al.  Maximum temperatures in European office buildings to avoid heat discomfort , 2007 .

[22]  Naoki Matsubara,et al.  CALCULATION OF NEUTRAL TEMPERATURE AND ACCEPTABLE RANGE BY THE FIELD STUDY OF HOUSES IN KANSAI AREA, JAPAN, IN WINTER , 2007 .

[23]  Hongwei Guo,et al.  A Simple Algorithm for Fitting a Gaussian Function [DSP Tips and Tricks] , 2011, IEEE Signal Processing Magazine.

[24]  Mohamed Sukri Mat Ali,et al.  Thermal comfort and occupant adaptive behaviour in Japanese university buildings with free running and cooling mode offices during summer , 2016 .