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ヒトの想像温度尺度による熱的快・不快感の評価に関する研究 冬季の放射・対流暖房でのヒトの想像温度の考察

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日本建築学会環境系論文集 第86巻 第783号, 517-525,2021年5月 J. Environ. Eng., AIJ, Vol. 86, No. 783, 517-525, May, 2021. DOI https://doi.org/10.3130/aije.86.517. — 517 —. *1 北海道立総合研究機構建築研究本部 修士(デザイン学) *2 札幌市立大学デザイン学部 教授・博士(工学). Hokkaido Research Organization, Building Research Department, M.Design Prof., School of Design, Sapporo City Univ., Dr.Eng.. 【カテゴリーⅠ】. ヒトの想像温度尺度による熱的快・不快感の評価に関する研究 冬季の放射・対流暖房でのヒトの想像温度の考察. STUDY ON THE EVALUATION OF THERMAL COMFORT AND DISCOMFORT BASED ON COGNITIVE TEMPERATURE SCALE OF OCCUPANTS. Study on human cognitive temperature under the radiant and convective heating systems in winter. 佐々木 優二*1,斉 藤 雅 也*2. Yuji SASAKI and Masaya SAITO. STUDY ON THE EVALUATION OF THERMAL COMFORT AND DISCOMFORT BASED ON COGNITIVE TEMPERATURE SCALE OF OCCUPANTS. Study on human cognitive temperature under the radiant and convective heating systems in winter. 1 2 Yuji SASAKI, Masaya SAITO . This paper clarifies the domain characteristics of the "not uncomfortable" state as being a result of thermal adaptation in heating rooms under. two unsteady thermal environments in winter, based on the cognitive temperature scale. 1. If thermal comfort descriptions by the subjects change from “uncomfortable” to “not-uncomfortable” or to “comfortable”, then cognitive. temperature has risen. This result was similar for thermal sensation. From this result, the existence of “not-uncomfortable” state becomes clear.. 2. The cognitive temperature was higher than room air temperature when described as “comfortable”. Therefore, the difference between the cognitive temperature and room air temperature can be used to estimate thermal adaptation.. Keywords: Cognitive Temperature, Thermal Comfort, Not-uncomfortable, Thermal Adaptation, Thermal Sensation , , , , . 1. . ZEB ZEH. 1). 2),3) . PMV PPD SET* 4),5) Fig.1. 6) . 7),8) 8) 9) 3. Fig.1 Not-uncomfortable. 10) . PMV SET*. Kuno 11) 12) 13),14) Kuno. 7. *1 Hokkaido Research Organization, Building Research Department, M.Design.. *2 Prof., School of Design, Sapporo City Univ., Dr.Eng.. STUDY ON THE EVALUATION OF THERMAL COMFORT AND DISCOMFORT BASED ON COGNITIVE TEMPERATURE SCALE OF OCCUPANTS. Study on human cognitive temperature under the radiant and convective heating systems in winter. 1 2 Yuji SASAKI, Masaya SAITO . This paper clarifies the domain characteristics of the "not uncomfortable" state as being a result of thermal adaptation in heating rooms under. two unsteady thermal environments in winter, based on the cognitive temperature scale. 1. If thermal comfort descriptions by the subjects change from “uncomfortable” to “not-uncomfortable” or to “comfortable”, then cognitive. temperature has risen. This result was similar for thermal sensation. From this result, the existence of “not-uncomfortable” state becomes clear.. 2. The cognitive temperature was higher than room air temperature when described as “comfortable”. Therefore, the difference between the cognitive temperature and room air temperature can be used to estimate thermal adaptation.. Keywords: Cognitive Temperature, Thermal Comfort, Not-uncomfortable, Thermal Adaptation, Thermal Sensation , , , , . 1. . ZEB ZEH. 1). 2),3) . PMV PPD SET* 4),5) Fig.1. 6) . 7),8) 8) 9) 3. Fig.1 Not-uncomfortable. 10) . PMV SET*. Kuno 11) 12) 13),14) Kuno. 7. *1 Hokkaido Research Organization, Building Research Department, M.Design.. *2 Prof., School of Design, Sapporo City Univ., Dr.Eng.. STUDY ON THE EVALUATION OF THERMAL COMFORT AND DISCOMFORT BASED ON COGNITIVE TEMPERATURE SCALE OF OCCUPANTS. Study on human cognitive temperature under the radiant and convective heating systems in winter. 1 2 Yuji SASAKI, Masaya SAITO . This paper clarifies the domain characteristics of the "not uncomfortable" state as being a result of thermal adaptation in heating rooms under. two unsteady thermal environments in winter, based on the cognitive temperature scale. 1. If thermal comfort descriptions by the subjects change from “uncomfortable” to “not-uncomfortable” or to “comfortable”, then cognitive. temperature has risen. This result was similar for thermal sensation. From this result, the existence of “not-uncomfortable” state becomes clear.. 2. The cognitive temperature was higher than room air temperature when described as “comfortable”. Therefore, the difference between the cognitive temperature and room air temperature can be used to estimate thermal adaptation.. Keywords: Cognitive Temperature, Thermal Comfort, Not-uncomfortable, Thermal Adaptation, Thermal Sensation , , , , . 1. . ZEB ZEH. 1). 2),3) . PMV PPD SET* 4),5) Fig.1. 6) . 7),8) 8) 9) 3. Fig.1 Not-uncomfortable. 10) . PMV SET*. Kuno 11) 12) 13),14) Kuno. 7. *1 Hokkaido Research Organization, Building Research Department, M.Design.. *2 Prof., School of Design, Sapporo City Univ., Dr.Eng.. — 518 —. 2. Cognitive Temperature Scale 15). 1. 15),16). 9). MRT. 17) 18) 19) 20). 21) 22). PMV SET*. 3. . 3.1. . PH AC 2. PH 2017 1 30 2 9 6 AC. 2017 1 31 2 15 6 11 00 11 30 16 30 17 00 1 2. 1 PH Fig.2 1 AC Fig.3 PH 1991 RC. FL3+A6 FL3 . Fig.1 Concept of thermal comfort vote(left) and zone(right). Fig.2 Plan and measurement item of the radiant heating room. Fig.3 Plan and measurement item of the convective heating room. Table1 Flow of subjective experiment. Fig.4 The questionnaire board of subjects. — 519 —. 2. Cognitive Temperature Scale 15). 1. 15),16). 9). MRT. 17) 18) 19) 20). 21) 22). PMV SET*. 3. . 3.1. . PH AC 2. PH 2017 1 30 2 9 6 AC. 2017 1 31 2 15 6 11 00 11 30 16 30 17 00 1 2. 1 PH Fig.2 1 AC Fig.3 PH 1991 RC. FL3+A6 FL3 . Fig.1 Concept of thermal comfort vote(left) and zone(right). Fig.2 Plan and measurement item of the radiant heating room. Fig.3 Plan and measurement item of the convective heating room. Table1 Flow of subjective experiment. Fig.4 The questionnaire board of subjects. U 4.07W/(m2 K) AC 2010 RC Low-E 5 A12 FL5. U 2.91W/(m2 K) PH AC. 24 18 23 PH 13 8 5 AC 15 6 9 1 2. PH 1.2clo AC 1.4clo AC PH. PH 12.5% 12.0% AC 9.3% 14.4% 1) . Table1 2) 23), 3) 15. PH AC T. 5 5 . 3.2. . 3 30. Fig.4 4). Fig.1 3 Cold. Hot Fig.4. 9 9 9 0.5. -100 0 100. 5. 4. . 4.1. MRT . Fig.5 PH AC PH 8.0 1.0 AC 3.0 0.0 . Fig.6 Fig.7 5 MRT MRT. 17 18 MRT PH AC. 3.0 4.0K PH 15 26% AC 21 33% AC. MRT 12 PH 0.5K 12 PH . MRT AC 30. 2.0K MRT . Table2 PMV SET* MRT PMV. SET* PMV 2.2 1.6 SET* 18.7 20.6. PMV 0.9 SET* PH 23.3 AC 23.5 . Fig.5 Outdoor air temperature every 5 minutes of both rooms. Fig.6 Air temperature every 5 minutes of both rooms. Fig.7 MRT every 5 minutes of both rooms. Table2 Average PMV and SET* for all subjects at start and end. of subjective experiment both rooms. — 520 —. 4.2. 5). Fig.8 5. 20 AC PH. 20 0 Fig.6 Fig.7. MRT Fig.9. Fig.8 100 +100 3. 0 1 2 AC 5. PH 10 10 AC PH. 10. Fig.10 5. 20 AC PH 2.5 20 PH. AC 0.3 0.5 PH MRT AC 6) Fig.11. 0 10 10 20 20 30 p=0.05 2. p<0.01 PH AC . PH AC AC 0 10 17.6. 10 20 6.7 20 30 AC. PH AC PH 0 10. 52.3 42.4 45.2 AC. 60. 0 10 PH 12.1 AC 19.8 10 20 20 30 PH 36.7 46.2 AC 31.7. 39.2 Fig.10 PH MRT AC. MRT. MRT. 4.3. . 4.3.1. . Fig.12 PH AC. p=0.05 Kruskal-Wallis p<0.01 Steel-Dwass. 0 Cold 0 Neutral 0 Hot. 3 p<0.01. MRT. 4.3.2 . Fig.13 14 PH AC. Fig.8 Thermal sensation every 5 minutes of both rooms. Fig.9 Average of thermal comfort vote of both rooms. Fig.10 Cognitive temperature every 5 minutes of both rooms. — 521 —. 4.2. 5). Fig.8 5. 20 AC PH. 20 0 Fig.6 Fig.7. MRT Fig.9. Fig.8 100 +100 3. 0 1 2 AC 5. PH 10 10 AC PH. 10. Fig.10 5. 20 AC PH 2.5 20 PH. AC 0.3 0.5 PH MRT AC 6) Fig.11. 0 10 10 20 20 30 p=0.05 2. p<0.01 PH AC . PH AC AC 0 10 17.6. 10 20 6.7 20 30 AC. PH AC PH 0 10. 52.3 42.4 45.2 AC. 60. 0 10 PH 12.1 AC 19.8 10 20 20 30 PH 36.7 46.2 AC 31.7. 39.2 Fig.10 PH MRT AC. MRT. MRT. 4.3. . 4.3.1. . Fig.12 PH AC. p=0.05 Kruskal-Wallis p<0.01 Steel-Dwass. 0 Cold 0 Neutral 0 Hot. 3 p<0.01. MRT. 4.3.2 . Fig.13 14 PH AC. Fig.8 Thermal sensation every 5 minutes of both rooms. Fig.9 Average of thermal comfort vote of both rooms. Fig.10 Cognitive temperature every 5 minutes of both rooms. p<0.01. MRT. 9. Fig.13 14. 7 Fig.1. Table3 PH AC. MRT p=0.05 Mann Whitney U. p<0.01 PH AC. MRT MRT PH. AC AC PH MRT PH AC AC PH. PH AC. 4.3.3. . 24). Tcog Ta. Fig.15 16 PH AC Tcog Ta. p<0.01 Tcog Ta. Fig.15 AC Tcog Ta Tcog Ta 6.1. 0.3 5.8 Tcog Ta 1.3 PH. Tcog Ta 0.4 PH. Fig.11 Thermal comfort vote of both rooms . about divide time into three. Fig.12 Relationship between cognitive temperature scale and. thermal sensation of both rooms. Fig.13 Relationship between cognitive temperature scale and. thermal comfort vote of PH room. Fig.14 Relationship between cognitive temperature scale and. thermal comfort vote of AC room. — 522 —. Tcog Ta 0.3 . Fig.16 Tcog Ta AC Fig.14 PH. Tcog Ta Tcog Ta 0.9. Fig.6 Fig.7 MRT. 1) 20 AC PH 20 PH AC. 0.3 0.5 MRT. 2) AC 60. PH PH. 10 AC. MRT . 2) 7 . 3) PH AC. MRT. 4). 0 . 10). 28. 1) PH MRT 0.1 0.5. 1.0 0 0. 2) 20 25. 30. 3) 23. Table3 Median of cognitive temperature, air temperature and. MRT by thermal comfort votes and heating types. Fig.15 Difference between cognitive temperature and air. temperature by thermal comfort of both rooms. Fig.16 Difference between cognitive temperature and air. temperature by thermal sensation of both rooms. — 523 —. Tcog Ta 0.3 . Fig.16 Tcog Ta AC Fig.14 PH. Tcog Ta Tcog Ta 0.9. Fig.6 Fig.7 MRT. 1) 20 AC PH 20 PH AC. 0.3 0.5 MRT. 2) AC 60. PH PH. 10 AC. MRT . 2) 7 . 3) PH AC. MRT. 4). 0 . 10). 28. 1) PH MRT 0.1 0.5. 1.0 0 0. 2) 20 25. 30. 3) 23. Table3 Median of cognitive temperature, air temperature and. MRT by thermal comfort votes and heating types. Fig.15 Difference between cognitive temperature and air. temperature by thermal comfort of both rooms. Fig.16 Difference between cognitive temperature and air. temperature by thermal sensation of both rooms. 4) Fig.4 . 5). MRT. Fig.15 Fig.16. 6) PH AC MRT. 1.7K 1.6K 0.8 MRT 18 20. 7). 1) Onodera, H., Sunaga, N. and Kumakura, E.: Promoting energy-saving consciousness among residents of high-performance housing, Journal of Environmental Engineering, (Transaction of AIJ), Vol.83, No.754, pp.987-995, 2018.12 (in Japanese). 83 754 pp.987-995 2018.12. 2) Muro, K., Hane, T. and Sawada, E.: Structural modeling of the linguistic imagery, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering, pp.3-4, 1990.9 (in Japanese). pp.3-4 1990.9 3) Nakano, J. and Tanabe, S.: Thermal Adaptation and Comfort Zones in. Urban Semi-Outdoor Environments, Front. Built Environ. 6:34. doi: 10.3389/fbuil.2020.00034, 2020.3. 4) ISO : ISO7730 Moderate thermal environments, Determination of the PMV and PPD indices and specification of the conditions for thermal comfort, ISO, 2005. 5) Gagge, A. P., Nishi, Y. and Gonzalez, R. R.: Standard Effective e index of Temperature Sensation. and Thermal Discomfort Proc of The CIB Commission W 45 (Human Requirements) Symposium, Thermal Comfort and Moderate Heat Stress, Building Research Station London September 1972, published by HMSO, pp229 250, 1973. 6) The Architectural Institute of Japan: Standards for measurement of psychological and physiological responses to thermal comfort, Maruzen, 2014.3 (in Japanese). 2014.3 7) Humphrays, M. A. and Nicol, J. F.: Understanding the adaptive. approach to thermal comfort, ASHRAE Transactions, 104(1b), pp991- 1004, 1998. 8) Nakano, J. and Tanabe, S.: Prospects of thermal comfort in semi- outdoors environment. Application of thermal adaptation studies to thermal environmental planning in Japanese context, Journal of Environmental Engineering, (Transaction of AIJ), Vol.79, No.701, pp.597-606, 2014.7 (in Japanese). - -. 79 701 pp.597-606 2014.7 9) Hirotani, J., Yamada, N., Machida, K. and Saito, M.: The relation-ship. between cognitive temperature and thermal adaptation process of junior high school students in summer, Journal of Environmental Engineering, (Transaction of AIJ), Vol.84, No.756, pp.171-178, 2019.2 (in Japanese). 84 756 pp.171-178 2019.2 . 10) Sasaki, Y., Saito, M. and Shukuya, M.: Research on thermal adaptation by cognitive temperature and human-body exergy balance, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp. 277-280, 2018.9 (in Japanese). pp.277-280 2018.9 11) Kuno, S., Ohno, H. and Nakahara, N.: A two-dimensional model. expressing thermal sensation in transitional condition, ASHRAE Trans. Vol. 93(2), pp.396-406, 1987. 12) Xu, G., Kuno, S., Tanaka, M. and Saito, T.: A study on physiological and psychological responses in the case where subjects move to slightly warm environment with air movement from hot environment, Journal of Architecture, Planning and Environmental Engineering, (Transaction of AIJ), No.524, pp.37-44, 1999.10 (in Japanese). 524 pp.37-44 1999.10 13) Bogaki, K., Arikawa, E., Fukumori, K., Kadoya, M. and Miyagi, H.:. Study on the effects of the passive rhythming air conditioning system on thermal comfort and energy conservation. Part1-subjective experiments of the passive rhythming air conditioning system on thermal comfort: experimental results in summer season, Transactions of the Society of Heating, Air-conditioning and Sanitary Engineers of Japan, No.64, pp.61-71, 1997.1 (in Japanese). 1. No.64 pp.61-71 1997.1 14) Bogaki, K., Arikawa, E., Fukumori, K., Kadoya, M. and Miyagi, H.:. Study on the effects of the passive rhythming air conditioning system on thermal comfort and energy conservation Part2-subjective experiments of the passive rhythming air conditioning system on thermal comfort: experimental results in winter season, Transactions of the Society of Heating, Air-conditioning and Sanitary Engineers of Japan, No.67, pp.45-56, 1997.10 (in Japanese). 2. No.67 pp.45-56 1997.10 15) Saito, M.: Study on occupants’ cognitive temperature scale for their. environmental control behaviors. In the case of the university laboratories in summer in Sapporo, Journal of Environmental Engineering, (Transaction of AIJ), Vol.74, No.646, pp.1299-1306, 2009.12 (in Japanese). 74. 646 pp.1299-1306 2009.12 16) Saito, M., Tsujihara, M., Ogata, R. and Sakata, K.: Cognitive. temperature scale and thermal discomfort of the elementary school. In the case of Sapporo, Tokyo and Kumamoto in 2012 summer and autumn, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.467-468, 2014.9 (in Japanese). — 524 —. 2012 pp467-468. 2014.9 17) Omi, Y., Kikuta, K., Sakata, T., Saito, M. and Hayama, H.: Exergy. evaluation of indoor environment of northern regional houses in summer, Journal of Environmental Engineering, (Transaction of AIJ), Vol.79, No.696, pp.159-166, 2014. 2 (in Japanese). 79 696 pp.159-166 2014.2 18) Takebayashi, Y. and Rijal, H.B.: Study on the cognitive temperature.. Part2 thermal perception of the cognitive temperature in living room in Kanto region, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.321-322, 2013.8 (in Japanese). H.B. 2. pp321-322 2013.8 19) Tanaka, Y., Sunaga, N. and Onodera, H.: Study on the residents’. thermal sense and perception of heatstroke risk bay investigation on apartment houses in summer, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.223-224, 2018.9 (in Japanese). pp223-224 2018.9. 20) Arai, K. and Rijal, H.B.: Study on the mechanism of the cognitive temperature based on thermal environmental thermal in office buildings in Kanto area, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering. , pp.231-232, 2019.9 (in Japanese) H.B.. pp231-232 2019.9 21) Saito. M. and Tsujihara. M: Discussion on the formation process of. cognitive temperature scale, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.269-272, 2018.9 (in Japanese). pp269-272 2018.9 22) Nagai. R., Rejal, H.B. and Shukuya, M.: Research on the effect of long-. term thermal history on thermal perception and human-body exergy balance, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.309-310, 2016.8 (in Japanese). H.B.. pp309-310 2016.8 23) Yamazaki. K., Saito. M., Sasaki. Y. and Shukuya. M.: Development of. a method for estimating radiant temperature and radiant exergy within outdoor space, Journal of Environmental Engineering, (Transaction of AIJ), Vol.82, No.733, pp.205-214, 2017.3 (in Japanese). 82 733 pp.205-214 2017.3 24) Matsuoka, H., Saito, M. and Shukuya. M.: Study on the relationships. between occupants’ life style in summer and their psycho-physiological responses. Part1. Imagined comfortable temperature and actual thermal sensation, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.497-498, 2000.9 (in Japanese). 1 pp497-498 2000.9. — 525 —. STUDY ON THE EVALUATION OF THERMAL COMFORT AND DISCOMFORT BASED ON COGNITIVE TEMPERATURE SCALE OF OCCUPANTS. Study on human cognitive temperature under the radiant and convective heating systems in winter. Yuji SASAKI*1, Masaya SAITO*2. *1 Hokkaido Research Organization, Building Research Department, M. Design.. *2 Prof., School of Design, Sapporo City Univ., Dr. Eng.. In recent years, ZEBs, ZEHs, and other eco-buildings have been constructed both in Japan and abroad. If their. occupants can alter their "lifestyle and behavior" in a way that improves the performance of environmental. architecture, it will also bring about higher levels of both thermal comfort and energy conservation. To do so, it is. necessary to first clarify the conditions under which the occupants adapt to the thermal environment and how they. perceive the thermal environment.. International indices such as PMV, PPD, and SET*, which are based on data from an artificial climate laboratory. under steady-state thermal conditions, have been used to evaluate thermal comfort in many countries. These. indicators capture thermal comfort on the assumption that "comfortable" and "uncomfortable" states are independent. of each other. In contrast, the hypothesis of the authors is that the sense of "not-uncomfortable" exists as a nesting. point between "comfortable" and "uncomfortable".. In addition, in recent years, thermal adaptation has received significant attention. Thermal adaptation is a concept. that captures thermal comfort based on the principle that, "If a change occurs which causes discomfort, people react. in ways that tend to restore their comfort." "Not-uncomfortable" is a state that occupants recognize when returning. from the "uncomfortable" state, and is considered to be an unsteady state. Therefore, "not-uncomfortable" can be. considered the first psychological and physiological state of thermal adaptation. From the above discussion, we. assumed that the discrimination of thermal adaptation was based on "not-uncomfortable" responses.. In this study, to quantitatively clarify the "not-uncomfortable" state that is assumed by the thermal adaptation. theory, we conducted experiments on subjects whose thermal environment changed from "uncomfortable" to "not-. uncomfortable" and finally "comfortable", and discussed the results based on the cognitive temperature. The. subjective experiments were conducted in two rooms with radiant (N=13) and convection (N=15) heating during. winter in Sapporo. During the 30-min experiment, the subjects responded consecutively to three psychological. quantities: cognitive temperature, thermal comfort, and thermal sensation. . Following are the results of the experiments. . 1) Cognitive temperature was higher in the AC room than in the PH room for 20 min after the start of the experiment.. In contrast, the temperature of the PH room was 0.3 0.5 higher than the AC room after 20 min of the experiment.. This suggests that the rise in room air temperature and MRT affected their cognitive temperature. Similar results. were obtained for their thermal sensation and comfort responses. . 2) The subjects in AC rooms were significantly more likely than those in PH rooms to report "not- uncomfortable" at. more than 60% of the time across all time periods. In contrast, the PH room had significantly more "comfortable". declarations than the AC room from 10 min after the start of the experiment, indicating a difference between the. room air temperature and the increase in MRT.. 3) As thermal comfort responses change from “uncomfortable” to “comfortable” via “not-uncomfortable,” and thermal. sensation responses change from “cold” to “hot” via “neutral”, this implies that cognitive temperature rose. From this. result, the existence of the “not-uncomfortable” state became clear. . 4) Cognitive temperature scale was higher than room air temperature when the subjects described being “comfortable.”. Therefore, the difference between cognitive temperature scale and room air temperature can be used to estimate. whether occupants have adapted to a thermal environment.. 2012 pp467-468. 2014.9 17) Omi, Y., Kikuta, K., Sakata, T., Saito, M. and Hayama, H.: Exergy. evaluation of indoor environment of northern regional houses in summer, Journal of Environmental Engineering, (Transaction of AIJ), Vol.79, No.696, pp.159-166, 2014. 2 (in Japanese). 79 696 pp.159-166 2014.2 18) Takebayashi, Y. and Rijal, H.B.: Study on the cognitive temperature.. Part2 thermal perception of the cognitive temperature in living room in Kanto region, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.321-322, 2013.8 (in Japanese). H.B. 2. pp321-322 2013.8 19) Tanaka, Y., Sunaga, N. and Onodera, H.: Study on the residents’. thermal sense and perception of heatstroke risk bay investigation on apartment houses in summer, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.223-224, 2018.9 (in Japanese). pp223-224 2018.9. 20) Arai, K. and Rijal, H.B.: Study on the mechanism of the cognitive temperature based on thermal environmental thermal in office buildings in Kanto area, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering. , pp.231-232, 2019.9 (in Japanese) H.B.. pp231-232 2019.9 21) Saito. M. and Tsujihara. M: Discussion on the formation process of. cognitive temperature scale, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.269-272, 2018.9 (in Japanese). pp269-272 2018.9 22) Nagai. R., Rejal, H.B. and Shukuya, M.: Research on the effect of long-. term thermal history on thermal perception and human-body exergy balance, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.309-310, 2016.8 (in Japanese). H.B.. pp309-310 2016.8 23) Yamazaki. K., Saito. M., Sasaki. Y. and Shukuya. M.: Development of. a method for estimating radiant temperature and radiant exergy within outdoor space, Journal of Environmental Engineering, (Transaction of AIJ), Vol.82, No.733, pp.205-214, 2017.3 (in Japanese). 82 733 pp.205-214 2017.3 24) Matsuoka, H., Saito, M. and Shukuya. M.: Study on the relationships. between occupants’ life style in summer and their psycho-physiological responses. Part1. Imagined comfortable temperature and actual thermal sensation, Summaries of Technical Papers of Annual Meeting, Architectural Institute of Japan, Environmental engineering , pp.497-498, 2000.9 (in Japanese). 1 pp497-498 2000.9. (2020 年 6 月 8 日原稿受理,2021 年 1 月 22 日採用決定). STUDY ON THE EVALUATION OF THERMAL COMFORT AND DISCOMFORT BASED ON COGNITIVE TEMPERATURE SCALE OF OCCUPANTS. Study on human cognitive temperature under the radiant and convective heating systems in winter. Yuji SASAKI *1and Masaya SAITO *2. *1 Hokkaido Research Organization, Building Research Department, M.Design *2 Prof., School of Design, Sapporo City Univ., Dr.Eng.

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