カテゴリー Ⅲ 日本建築学会環境系論文集第 81 巻第 723 号,429-437,2016 年 5 月 J. Environ. Eng., AIJ, Vol. 81 No. 723, 429-437, May, 2016 DOI http://doi.org/10.3130/aije.81.429 PMV の空間分布 時間変動特性に着目した従来型空調との比較 内部発熱直接処理型空調における冷房期オフィス室内の温熱環境評価その 1 COMPARISON WITH CONVENTIONAL SYSTEM FOCUSING ON SPACE DISTRIBUTION AND TIME CHANGE CHARACTERISTICS Thermal environment evaluation in office over cooling period with direct cooling system of internal heat gain Part 1 吉冨透悟 *, 加藤信介 **, 張偉栄 ***, 関根賢太郎 ****, 佐藤大樹 **** *****, 黄孝根 Togo YOSHIDOMI, Shinsuke KATO, Weirong ZHANG, Kentaro SEKINE, Taiki SATO and Hyokeun HWANG Thermal environment around each occupant hourly changes in different ways, because thermal distribution in a room changes at every hour. To evaluate indoor thermal environment, usually CFD simulation in a certain time is done. However, it is preferable that every occupant is comfortable at more than a certain rate of time. Based on this idea, an air-conditioning system which can removing internal heat gain within the vicinity of the heat source, was developed to minimize the thermal distribution of occupied zone. Thus the purpose of this study is to evaluate the thermal environment in occupied zone of this system considering space distribution and time change. In this study, PMV values of all occupants over the cooling period were calculated, and the comfortability rates of occupants by this system were compared with those by conventional system. By this system, the differences of PMV value were smaller and the comfortability rates were higher than those by conventional system. A calculation method was proposed to calculate PMV values of multiple occupants over a period, and accuracy verification was done by means of comparing with CFD analysis. Direct Cooling System of Internal Heat Gain, CFD, PMV, Contribution Ratio of Indoor Climate (CRI) 1. 1) 1 PC 1) CFD CFD * ** *** **** ***** 鹿島建設 工修 ( 研究当時東京大学工学系研究科大学院生 ) 東京大学生産技術研究所教授 工博東京工芸大学准教授 博士 ( 工学 ) 大成建設 技術センター工博東京大学工学系研究科大学院生 KAJIMA CORPORATION, M.Eng. Prof., Institute of Industrial Science, University of Tokyo, Dr.Eng. Assoc. Prof., Tokyo Polytechnic University, Ph.D. Technology Center, TAISEI CORPORATION, Ph.D. Grad. Stud., Graduate School of Eng., University of Tokyo 429
CFD CFD CFD Full-coupling simulation 2) CFD (Quasi-coupling simulation) CFD CRI 3) CRI 4) 5) CRI CRI 6, 7) 8) CRI PMV PMV PMV PMV PMV CRI CFD 3). CRI MRT PMV CRI CRI (1) CRI (1) θ n [K] m Q m [W] θ m(x i)(x i)[k] θ m(x i)(x i) θ n [K] θ m,0 m [K] θ m,0 θ m,0 θ n [K] C p[j/(kgk)], ρ[kg/m 3 ] F[m 3 /s] 430
CFD CRI CRI Qm (2) (2) MRT CRI MRT 1 MRT MRT MRT (3) MRT (3) y j l MRT 0(y j) : y j MRT[K] MRT(y j)/ T : MRT [-] T l : l [K] 414.72m 2, 20.8% () K=0.826 W/(m 2 K), K=3.125 W/(m 2 K), K=0.623 W/(m 2 K), Sc=0.228 0.4 0.4 0.8m, 1.6m 2, 71W/ (25.566%), 0.1 /m 2, 0.2m PC 1.5W/m 2, LED 1.4W/m 2 PC 90% 21 3, FCU 5/110/31 (1991-2000 ) (12 25.5 66%, 1 30m 3 /(h) 0-9 9-12 12-13 13-17 17-19 19-21 21-24 [%] 0 100 50 100 70 50 0 CFD STAR-CCM+ (13 Re k-, 100% 467.1, 50% 219.8 E=9.0, Kappa=0.42 0.9, 0.95 4, 3 FCU 510m 3 /(h) PC 90m 3 /(h) 431
100% 50% 26.6, 24.8, 27.3, 24.7, 29.1 25.8 26.3 25.9 2.46W/m 2 2.12W/m 2 0.875W/m 2 K 2 PMV MRT MRT CRI PMV. PMV. ZEB (9 CFD (10 1.1met 0.5clo 0.15m/s MRT PMV 0 25.566% 66% 25.566% 71W/ 0.1 /84 42 PC 90% 3 FCU. PMV TRNSYS (11 3 2 (5/19/30) 25.566% 25.566%. CRI MRT.. 100% 50% 2 4 100% 0 0.2m/s.. CRI PC CRI. PMV CRI MRT PMV =25.5 CRI 0.1m 70%70% 50%21 MRT PMV PMV PMV PMV PMV 432
0.66m/s PMV PMV<0.5 99.5% PMV PMV<0.5 99.6% PMV 0.27 0.30 PMV PMV 0.5 PMV 7 30 9 3 PMV PMV 9 12 2 PMV 0.3. 3.4 25.5 PMV PMV 6 PMV<0.5 35.7% PMV 0.52 0.092 0.143 PMV PMV PMV -0.5 0.5 PMV (-0.5PMV0.5)(0.5< PMV) (-0.5<PMV) 8 PMV PMV 0 PMV 99% PMV 10% PMV 8 PMV 7 PMV PMV PMV PMV PMV PMV 7 433
NCPMV kúʃȏǻȓƞÿȃĺy{ʥiíhʔåvci DȤ ȍkŝuid ǜǫűeʤɼjņđkŝupcîáhřx MRT Nœ ádàʊ ájǽƀevccðijjyjhşßļjȥǜǫűhy{œǫă VcI SeNÆgęijeȾKz} DSj MRT jàʊkc» ſ Ɍ`]ŀĤCúʃȎǺȒƞÿȂĺkŽǀĺhǛq PMV jƛď µjƹƕe PC jɐʚȏǻhy ƥśɯĝʈ NȤʋ½ǒÖőɚȫhy ÔɐǵjɚȫíeɷPCXg~_ǪǺȃ jŧetz} DȤǜǪűeʤɼjāũkúʃȎǺȒƞÿȂĺeÜ ŁjȤʋāũNŜUIeIJSeNƛRz} DŽǀĺdkCȤʋ ]óħ țvcl{cȵDževcœ áj PMV jāũűĥijŧ ½ǒÖőɚȫhy ɚȫd PMV ȃłnƅʀeg ŀĥdwcƥś ²¹ĺƥŚ B id P B id P _F]!y B id P!y F] f F] f 9w?V 9w?V ( asp ( _F]!y asp F] f F] f 9w?V 9w?V ( asp (!y L _F] : X_ ; L 38-o p l o! F] L KOW!Chq*!b d} [±B id P J±asPª L! oug [± id P J±asP ª 434
PMV PMV. PMV PMV PMV 7 30 9 PMV CFD 6 PMV 7 PMV PMV PMV PMV PMV 0.5 PMV<0.5 PMV 22 12 23 10-1 52.4 28.6 54.8 23.8-2.4 0.507 0.587 0.503-0.081-2.4 0.126 0.174 0.156 0.088 0.077 PMV 10 11 3 PMV MRT MRT 435
MRT. PMV PMV CRI CFD PMV PMV PMV NEDO( ) 436
COMPARISON WITH CONVENTIONAL SYSTEM FOCUSING ON SPACE DISTRIBUTION AND TIME CHANGE CHARACTERISTICS Thermal environment evaluation in office over cooling period with direct cooling system of internal heat gain Part 1 Togo YOSHIDOMI *, Shinsuke KATO **, Weirong ZHANG ***, Kentaro SEKINE ****, Taiki SATO **** and Hyokeun HWANG ***** * KAJIMA CORPORATION, M.Eng. ** Prof., Institute of Industrial Science, University of Tokyo, Dr.Eng. *** Assoc. Prof., Tokyo Polytechnic University, Ph.D. **** Technology Center, TAISEI CORPORATION, Ph.D. ***** Grad. Stud., Graduate School of Eng., University of Tokyo Thermal environment around each occupant changes in different ways, because thermal distribution in a room changes at every hour. To evaluate indoor thermal environment, usually CFD simulation in a certain time is done. However, this evaluation is insufficient, because time change of thermal distribution cannot be considered. It is preferable that every occupant is comfortable at more than a certain rate of time. Based on this idea, an air-conditioning system which can removing internal heat gain within the vicinity of the heat source, was developed to minimize the thermal distribution of occupied zone. Thus the purpose of this study is to evaluate the thermal environment in occupied zone of this system considering space distribution and time change. In this study, PMV values of all occupants over the cooling period were calculated, and the comfortability rates of occupants by this system were compared with those by conventional system. By using the calculation result of PMV, time, point and factor of the case that comfortability is not satisfied in the cooling period. By this system, the differences of PMV value were smaller and the comfortability rates were higher than that by conventional system. In contrast, by conventional system, the comfortability rates were different even among occupants close to each other. A calculation method is proposed to calculate PMV values of multiple occupants over a period, and accuracy verification is done by means of comparing with CFD analysis. (2015 年 9 月 10 日原稿受理,2016 年 2 月 3 日採用決定 ) 437