EVALUATION OF THERMAL ENVIRONMENT AROUND THE BLIND ON NON-UNIFOM RADIANT FIELDS A CFD SIMULATION OF HEAT TRANSFER DISTRIBUTION NEAR THE BLINDS

Similar documents
THERMAL ENVIRONMENT PREDICTION USING CFD WITH A VIRTUAL MANNEQUIN MODEL AND EXPERIMENT WITH SUBJECT IN A FLOOR HEATING ROOM

STUDY ON THE THERMAL PERFORMANCE AND AIR DISTRIBUTION OF A DISPLACEMENT VENTILATION SYSTEM FOR LARGE SPACE APPLICATION

VALIDATION OF REYNOLDS AVERAGED MODEL AND LARGE EDDY SIMULATION IN ACTUAL FLOOR HEATING ROOM. Hiroki Ono 1 and Koji Sakai 1

Patrick H. Oosthuizen and J.T. Paul Queen s University Kingston, ON, Canada

therefore cold air is released to the outdoor space, contributing to changes in the outdoor microclimate (Figure 1). This results in a cool spot in th

MEASUREMENT AND CFD ANALYSIS OF OPEN AIR INVASION PHENOMENON AT OPENING OF AN AUTOMATIC SLIDING DOOR. Abiko, Japan

CFD MODELLING OF CONVECTIVE HEAT TRANSFER FROM A WINDOW WITH ADJACENT VENETIAN BLINDS

Natural Ventilation. CFD modelling of a double-skin facade. Huw Birch. Supervisor: Abigail Hathway

ARCHITECTURE IN THE DAYLIGHT

The energy performance of an airflow window

Thermal Comfort; Operative Temperature in the Sun

CAE 331/513 Building Science Fall 2016

THE EFFECTS OF CALORIMETER TILT ON THE INWARD-FLOWING FRACTION OF ABSORBED SOLAR RADIATION IN A VENETIAN BLIND

Double-Skin Facade in Low-Latitude: Study on the Absorptance, Reflectance, and Transmittance of Direct Solar Radiation

EFFECT OF INTERNAL LONG WAVE RADIATION AND CONVECTION ON FENESTRATION SIMULATION

BRE Client Report. Calculation of summertime solar shading performance for MicroLouvre. Prepared for: Smartlouvre. BRE Watford, Herts WD25 9XX

A Numerical Study of the Effect of a Venetian Blind on the Convective Heat Transfer Rate from a Recessed Window with Transitional and Turbulent Flow

Topic 5 Practice Test

Climatically Adapted Piloti Arrangement and Ratio of Residential Blocks in a Subtropical Climate City

Natural Convection Heat Loss from A Partly Open Cubic Enclosure Timothy N Anderson 1,a * and Stuart E Norris 2,b

ABOUT UNCERTAINTIES IN SIMULATION MODELS FOR BUILDING SYSTEMS CONTROL

Validation of DNS techniques for dynamic combined indoor air and constructions simulations using an experimental scale model

Chapter 5 MATHEMATICAL MODELING OF THE EVACATED SOLAR COLLECTOR. 5.1 Thermal Model of Solar Collector System

Calculating equation coefficients

Institut national des sciences appliquées de Strasbourg GENIE CLIMATIQUE ET ENERGETIQUE APPENDICES

Study of air curtains used to restrict infiltration into refrigerated rooms

Experimental Performance and Numerical Simulation of Double Glass Wall Thana Ananacha

If there is convective heat transfer from outer surface to fluid maintained at T W.

A Discussion of Low Reynolds Number Flow for the Two-Dimensional Benchmark Test Case

Study on Thermal Load Calculation for Ceiling Radiant Cooling Panel System

Energy flows and modelling approaches

EE-489 Modeling Project: Behavior of the. Temperature Changes in a Room

Building heat system sizing

Aalborg Universitet. Empirical Test Case Specification Larsen, Olena Kalyanova; Heiselberg, Per Kvols. Publication date: 2006

Analysis of wind and radiant environment in street canyons for production of urban climate maps at district scale

Combined GIS, CFD and Neural Network Multi-Zone Model for Urban Planning and Building Simulation. Methods

Energy and Insolation Review 2

THERMAL PERFORMANCE EVALUATION OF AN INNOVATIVE DOUBLE GLAZING WINDOW

PASSIVE SOLAR HEATING

ADVANCED ROOF COATINGS: MATERIALS AND THEIR APPLICATIONS

(Refer Slide Time: 00:01:19 min)

METHOD OF IN-SITU MEASUREMENT OF THERMAL INSULATION PERFORMANCE OF BUILDING ELEMENTS USING INFRARED CAMERA

PERFORMANCE EVALUATION OF REFLECTIVE COATINGS ON ROOFTOP UNITS

THERMAL TRANSMITTANCE OF MULTI-LAYER GLAZING WITH ULTRATHIN INTERNAL PARTITIONS. Agnieszka A. Lechowska 1, Jacek A. Schnotale 1

Solar Radiation Protections on Façades: A Case Study in a Hot Semi-Humid Climate

Chapter 3- Energy Balance and Temperature

SIMULATION OF FRAME CAVITY HEAT TRANSFER USING BISCO v10w

Turbulent Natural Convection in an Enclosure with Colliding Boundary Layers

Turbulent Boundary Layers & Turbulence Models. Lecture 09

Solar Control in Traditional Architecture, Potentials for Passive Design in Hot and Arid Climate

Iterative calculation of the heat transfer coefficient

A NEW MODEL FOR ESTIMATING NEUTRAL PLANE IN FIRE SITUATION

Influence of turbulence model on thermal plume in indoor air flow simulation Zelensky, P.; Bartak, M.; Hensen, J.L.M.; Vavricka, R.

New correlations for the standard EN 1264

Daylighting Buildings Nexus November 12, 2009

2-D CFD analysis of passenger compartment for thermal comfort and ventilation

Influence of Heat Transfer Process in Porous Media with Air Cavity- A CFD Analysis

Appendix 5.A11: Derivation of solar gain factors

AR/IA 241 LN 231 Lecture 4: Fundamental of Energy

DYNAMIC INSULATION APPLIED TO THE RESIDENTIAL BUILDING (PART 2) Numerical Evaluation of Thermal Insulation Effect on Air Supply Window System

INFLUENCE OF THE POSITION OF EXHAUST AIR OPENINGS TO THE ROOM AIR FLOW STRUCTURE

Computational Modelling of the Impact of Solar Irradiance on Chemical Degradation of Painted Wall Hangings in an Historic Interior

STUDY OF A PASSIVE SOLAR WINTER HEATING SYSTEM BASED ON TROMBE WALL

Numerical Investigation of Convective Heat Transfer in Pin Fin Type Heat Sink used for Led Application by using CFD

Response function method

CAE 463/524 Building Enclosure Design Fall 2012

Atrium assisted natural ventilation of multi storey buildings

TOWARDS A MORE RELIABLE MODELLING OF NIGHT-TIME VENTILATION WITH BUILDING ENERGY SIMULATION MODELS

AN EVALUATIVE METHOD FOR HIGH-PERFORMANCE WINDOW SYSTEM AND WINDOW SIDE RADIATION ENVIRONMENT

Effect of Installing a Curved Venetian Blind to the Glass Window on Heat Transmission

CFD as a Tool for Thermal Comfort Assessment

REVIEW OF REFLECTIVE INSULATION ESTIMATION METHODS James M Fricker 1 and David Yarbrough 2

EXPERIMENTAL AND SIMULATION TEMPERATURE EVALUATION WHICH DETERMINE THERMAL COMFORT

CAE 331/513 Building Science Fall 2017

P5 Heat and Particles Revision Kinetic Model of Matter: States of matter

University of New Mexico Mechanical Engineering Spring 2012 PhD qualifying examination Heat Transfer

NUMERICAL AND EXPERIMENTAL INVESTIGATIONS OF AIR FLOW AND TEMPERATURE PATTERNS OF A LOW VELOCITY DIFFUSER

A Numerical Analysis of Indoor Thermal Environment and Human Thermophysiological Responses under Natural Ventilation S. Iizuka 1,*, T. Sakoi 2, T. Sai

PROPOSAL OF SEVEN-DAY DESIGN WEATHER DATA FOR HVAC PEAK LOAD CALCULATION

THERMAL AND AIRFLOW NETWORK SIMULATION PROGRAM NETS

STUDY OF COOLING SYSTEM WITH WATER MIST SPRAYERS FUNDAMENTAL EXAMINATION OF PARTICLE SIZE DISTRIBUTION AND COOLING EFFECTS

EXPERIMENTAL ANALYSIS OF AIR-CONDITIONING IN HOSPITAL ROOMS BY MEANS OF LIGHT RADIANT CEILINGS

Δ q = ( ψ L) HDH (1) here, Δq is the additional heat transfer caused by the thermal bridge, Ψ and L are the linear thermal transmittance and length of

Standard Test Method for Measuring the Steady-State Thermal Transmittance of Fenestration Systems Using Hot Box Methods 1

NUMERICAL MODELLING OF TEMPERATURE AND AIR FLOW DISTRIBUTION IN ENCLOSED ROOM

Numerical Study of Convective Heat Transfer for Flat Unglazed Transpired Solar Collectors

The influence of solar radiation on the distribution of temperatures in historic masonry

NUMERICAL SIMULATION OF THE AIR FLOW AROUND THE ARRAYS OF SOLAR COLLECTORS

Section 1: Overhang. Sizing an Overhang

Simplified Collector Performance Model

MATHEMATICAL MODELING OF A COMBINED HOT-WATER HEATING SYSTEM BY MEANS OF THE FINITE ELEMENT METHOD

CZECH TECHNICAL UNIVERSITY IN PRAGUE FACULTY OF MECHANICAL ENGINEERING DEPARTMENT OF ENVIRONMENTAL ENGINEERING

PRELIMINARY STUDY OF COMPUTATIONAL SETUP FOR URBAN STREET CANYONS. by MUHAMMAD NOOR AFIQ WITRI, M.Eng

C ONTENTS CHAPTER TWO HEAT CONDUCTION EQUATION 61 CHAPTER ONE BASICS OF HEAT TRANSFER 1 CHAPTER THREE STEADY HEAT CONDUCTION 127

EVALUATION OF AN APPROXIMATE METHOD FOR PREDICITING THE U-VALUE OF A WINDOW WITH A BETWEEN-PANES LOUVERED SHADE. D. Naylor *, M.

Transport processes. 7. Semester Chemical Engineering Civil Engineering

Study on Reusing Abandoned Chimneys as Solar Chimneys to Induce Breeze in Residential Areas

THERMO-FLOW CHARACTERISTICS OF A PIN-FIN RADIAL HEAT SINKS ACCORDING TO THEIR FIN HEIGHT PROFILE

Analysis of Flow inside Soundproofing Ventilation Unit using CFD

Table of Contents. Foreword... xiii. Preface... xv

Transcription:

800 1500 6240 1600 1500 840 Proceedings of BS2015: EVALUATION OF THERMAL ENVIRONMENT AROUND THE BLIND ON NON-UNIFOM RADIANT FIELDS A CFD SIMULATION OF HEAT TRANSFER DISTRIBUTION NEAR THE BLINDS Nozomi SAITO 1, Koji SAKAI 1, Ryoichi KAJIYA 1,and Hiroki ONO 2, 1 Meiji University, Tokyo, Japan 2 Central Research Institute of Electric Power Industry, Chiba, Japan ABSTRACT The purpose of this research is to evaluate the indoor thermal environment under the solar shading environment. In this report, it experimented in the room to which the blind was shut to confirm the indoor thermal environment. Afterwards, the CFD analysis based on the experiment was done. And, the accuracy of the analysis was confirmed by compared with measurement results. In the experiment, it was confirmed that heat had collected in the hollow layer between the window and the blind. And, the heat leaked indoors. There was a difference in top and bottom indoor temperature distribution for the leakage of heat. Moreover, it was confirmed that the indoor temperature changed according to the slat angle of the blind. In the analysis, the temperature of the air in the room was roughly corresponding to experimental measurements. However, when the wall temperature was analyzed, the problem that had to examined in the future was discovered. INTRODUCTION In the perimeter zones of an office, in the halfoutdoor space, in the open film low roof, in partially outside spaces such as a balcony, it is often the case that the sun creates non-uniform radiant fields. It is necessary to cover the insolation to exert an unpleasant influence on the human body on nonuniform radiant fields. Moreover, the action of the insolation is important in the point of improving the hull performance to reduce the cooling load, and to improve the energy saving in the building. Blind is widely used to prevent the insolation. However, the temperature of the hollow layer between window and the blind rises due to insolation when the blind is used, and there is a possibility that heat invades indoors though the blind with the inside is general as the method of the solar shading. As a result, the indoor thermal loading grows, and a lot of cooling energies of summer are needed. Therefore, the designer understands as the thermal environment is detailed when designing. A highly accurate analysis by CFD is effective for the solar shading at the design stage and the examination of the thermal environment, and the attention of CFD has risen. The heat loading caused by shutting the blind to verify the utility of CFD in the solar shading space in the present study is examined by CFD. outside louver measurement room upper down N Figure 1 Measurement situation 870 1600 1600 1600 1600 870 A Blind Window 800 A 6540 800 8140 Figure 2 Plan and elevation of measurement room EXPERIMENT SUMMARY Pole 1 2 3 4 5 6 350 200 200 200 200 200 Hollow Layer Measurement Points The experiment ran for ten days from August 5th through the 15th, 2014, in a conference room for the west on Meiji University Ikuta Campus, Building A, 10th floor (Kawasaki City Tama District). The blind of the Measurement Room is closed. A louver is installed outside the room. Fig.1 shows the details of the room. Moreover, the plan and elevation of the room is shown in Fig.2. To measure the temperature of the hollow layer between the window and the blind, three Paul was set up at equal intervals. Moreover, to examine the heat leakage from the hollow layer, six Paul was set up from the window at intervals of 200mm. The thermocouple was set up in each Paul in up to eight places, and the measurements were taken once per minute. To prevent the temperature rise by the insolation's hitting the thermocouple directly, the thermocouple was covered with the sunshade (square aluminum foil). The point of measurement of the wall surface was each four upper and lower places of the north wall, the south wall, and the east wall. Additionally, Paul and the thermocouple were set up in the part that seemed to be necessary to measure it, and the total of the point of measurement was 188. Moreover the wind velocity of the vicinity blind, the amount of the outdoor horizontal solar radiation, the amount of the indoor west plumb solar radiation, the globe temperature, radiant quantities, was measured. This report gives you the results on the experiment from August 5th and 11th. +2650 +2500 +2250 +2000 +1500 +1000 +500 FL - 857 -

Temperature[ ] Amount of Solar Radiation[W/ m2 ] Temperature[ ] Amount of Solar Radiation[W/ m2 ] Proceedings of BS2015: Outdoor Horizontal Solar Radiation Indoor West Plumb Solar Radiation Outdoor Horizontal Solar Radiation Indoor West Plumb Solar Radiation 46 42 2.5m m 2.0m 1.5m 1.0m globe 1200 1000 46 42 2.5m m 2.0m 1.5m 1.0m globe 1200 1000 38 800 38 800 34 600 34 600 30 400 30 400 26 200 26 200 22 0 22 0 13:00 14:00 15:00 16:00 17:00 18:00 13:00 14:00 15:00 16:00 17:00 18:00 a)august 5th b)august 11th Figure 3 Blind/glove temperature and amount of solar radiation [45] blind 8/5 14:00 8/5 15:00 8/5 16:00 8/5 17:00 [28] [38] [32] 8/11 14:00 8/11 14:30 8/11 15:00 8/11 15:30 Figure 4 Isothermal diagram[ C] [28] EXPERIMENTAL RESULTS Amount of insolation Figure 3 shows the temperature of blind and globe, the amount of outdoor horizontal solar radiation, and the amount of indoor west plumb solar radiation. On the 5th, the weather was fine, and an enough amount of the insolation. The temperature of the blind has changed periodically by the influence of the outdoor louver. The globe temperature has not changed so much. On the 11th, the weather became a cloudy since 15:30, and the amount of the insolation was a small amount. The temperature of the blind doesn't rise by the influence either. The amount of the insolation for the indoor west was 0[W/m 2 ] according to the solar shading with the blind. Room temperature distribution Figure 4 shows isothermal diagram made from the measured temperature. The insolation doesn't enter indoors,and almost the same temperature between hollow layer and room is shown at 14 o'clock. Afterwards, the insolation enters into the fenestration, and the temperature of the hollow layer rises. Then air of the high temperature invades indoors from the vicinity of the ceiling, and the temperature in the vicinity of the indoor ceiling rises, therefore the difference is in the indoor upper and lower temperature distribution. Because the amount of the insolation the 11th was less than that the 5th, on the 11th, the temperature of the room is lower. A lot of heat has invaded indoors from the vicinity of the ceiling on the 5th (upward the slat). On the other hand, it can be confirmed that the 11th (downward the slat) has invaded from the center part of the blind. ANALYSIS SUMMARY Analytical case The CFD analysis based on the experiment was done, and it compared with the result of the experiment. The analytical object date was set as August 5th 17:00 when the temperature of the indoor air rose most in the experiment, and the analysis for steady state was done. Table1 shows an analytical case. The insolation load was not added, and case1 was assumed to be temperature fixation. And, the mean value of each wall temperature on August 5th 17:00 measured by the experiment was set as a boundary condition. Table 2 shows the wall temperature. In case2 and case3, the insolation load was added, and it analyzed it with the radiation manifold type. A slat downward condition went in the experiment on August 11th. However, the amount of the insolation was not an insufficient, satisfying result. Then, the insolation condition used the value in which either case was calculated from experimental measurements on August 5th to compare it only by the difference for the slat in the analysis. - 858 -

Proceedings of BS2015: 0.03[m] Figure 5 Analytical object model Analytical object model Figure 5 shows the calculation domain of the analytical object model. The indoor shape faithfully reproduced the laboratory as much as possible including the window frame. In addition, to consider the influence by the outdoor louver, the west side outdoor area was made. Figure 6 shows the mesh distribution of the east and west sectional view. A standard size of the mesh was made, and the mesh shape was made polyhedral mesh by 0.1[m], and the layer mesh was made by seven layers in the wall vicinity. Moreover, the size of the mesh was subdivided to 0.01[m] that about 1/3 between slats, and the layer mesh was made by five layers in the window shade neighborhood. The minimum thickness of the layer was assumed to be 5[m], and the extension coefficient was set to 1.5. The number of meshes was 4547955 in the indoor area, 562007 in the outdoor area, and the number of total meshes was 5109962 (case2). Analysis condition Table 3 show the analysis condition. The turbulent model was applied the Realizable Two-Layer k-ε model. The Realizable k-ε model that shin and others developed contains a new transport equation for the turbulent dissipation rate ε. Also, a critical coefficient of the model, C μ, is expressed as a function of mean flow and turblence properties, rather than assumed to constant as in the standard model. This procedure lets the model satisfy certain mathematical constrains on the normal stresses consistent with the physics of turbulence (realizability). Because k might become the minus number by a natural convection, we used Realizable model not to become unstable. The Realizable Two-Layer k-ε model combines the Realizable k-ε model with the two-layer approach. Two-layer approach, first suggested by Rodi, is an altemative to the low-reynolds number approach that allows the k-ε model to be applied in the viscous sublayer. This time, shear-driven model (Wolfstein model) was used. For the difference scheme, we adopted the second-order upwind, the SIMPLE computational algorithm. The density is taken as constant. And the Boussinesq approximation was used. The transmittivity of the glass, was assumed to be 0.832, and the solar absorptivity of the blind was set, and 0.8 and the thermal resistance value of the wall were set and the thermal resistance value of 1.063 [W/m 2 ] and the floor and the ceiling was set to Figure 6 Distribution of mesh Table 1 Analysis case case1 case2 case3 Insolation load Off On On Slat angle Upper Upper Down Object date 2015/8/5 17:00 Table 2 Wall temperature Blind 38.6 C East Wall 33.0 C Window 44.4 C West Wall 33.0 C Ceiling 36.0 C South Wall 32.9 C Floor 30.4 C North Wall 33.1 C Table 3 Analysis condition Turbulent Model Realizable Two-Layer k-ε Empirical Variables in the Model C μ = 0.09, σ k =, σ ε = 1.20, C 1ε = 1.44, C 2ε = 1.90 Difference Scheme Second-Order Upwind Algorithm SIMPLE (regularity) Discretization Finite Volume Method Type of Mesh Polyhedral Mesh Convergence Criterion An error of quantity of heat movement and the quantity of heat movement caused by the radiation is less than 3% Iterations 3000 steps Code STAR-CCM+(ver.10.02.010) Figure 7 y + distribution (blind)[-] Figure 8 y + distribution(wall)[-] 0.532[W/m 2 ]. Emissivity of the wall, the floor, and the ceiling was assumed to be 0.9.It was assumedquantity of direct solar radiation 307[W/m 2 ], the diffuse sky radiation amount 0.61[W/m 2 ]. The analysis was carried out by STAR-CCM+(ver.10.02) which was a commercial tool. ANALYSIS RESULT Dimensionless wall range y+ Figure 7 and Figure 8 show a blind and indoor resulting dimensionless wall range of y+ (case2). In the blind, the ceiling, and the floor, it was 0.5 or less, and the wall was about 1. [1.0] [0.5] [0.0] [1.0] [0.5] [0.0] - 859 -

Proceedings of BS2015: a)case1 b)case2 c)case3 Figure 9 Air temperature distribution[ C] Room temperature distribution Figure 9 shows the analytical result of the air temperature distribution of case1~case3. It can be confirmed that heat has collected in the hollow layer in all cases. Moreover, heat leaks from the upper part of the hollow layer to the room as well as the experiment, and the temperature in the indoor vicinity of the ceiling rises. In the experiment, a top and bottom of indoor east side temperature was roughly the same. However, an upper and lower temperature is different in the indoor east side in case1. The leakage of heat from the hollow layer to the room can be confirmed also with case2. In the enlarged view, it can be confirmed that the surface of the window shade is a high temperature. It became almost the same, upper and lower temperature distribution on the indoor east side as well as the experiment. It falls in temperature in the upper part of the hollow layer because heat leaked indoors. The tendency to the heat leakage is different from other cases because it differs in case3 for the slat of the window shade. Heat leaks from a low place in case3 while a lot of heat leaks indoors from the vicinity of the ceiling in case1 and case2. The temperature in the upper part of the hollow layer is a high temperature in the vicinity of the window shade. The level of the indoor temperature is equal to case2 excluding the vicinity of the window shade. - 860 -

Proceedings of BS2015: [0.30] [0.15] [] a)case1 [0.30] [0.15] [] b)case2 [0.30] [0.15] [] c)case3 Figure 10 Wind velocity vector[m/s] Wind velocity vector Figure 10 shows the analytical result of the wind velocity vector of case1~case3. In any case, the airflow from the hollow layer to the room causes in the upper part of the hollow layer and the airflow from the room to the hollow layer is caused the hollow layer central part and under. Moreover, the vertical updraft is caused in the hollow layer. It is thought that air is circulated in the hollow layer. It is guessed that the heat leakage from the hollow layer about 0.2 [m/s] the wind velocity is done by a minute airflow. In case1, the airflow is caused in the room. The airflow for the east can be confirmed in the vicinity of the ceiling. And, it is downward, and can confirm the current of air for the west in the center part of the room on the indoor east side. Distribution of temperature of wall Figure 11 shows the distribution of the temperature of the wall of the analytical result. Because case1 fixed the wall temperature to the actual measurement value, it is constant temperature distribution in all walls. In case2 and case3, the temperature of the floor and the wall rose more than case1. It seems that this is because the boundary condition is different. Therefore, it is necessary to examine the physical properties value again. The difference of the heat leakage in the hollow layer for the slat confirmed to the difference of the distribution of the temperature of the wall of case1 and case2 almost equally influenced to the wall temperature small. - 861 -

Height[m] Proceedings of BS2015: a)case1 b)case2 c)case3 Figure 11 Wall temperature distribution[ C] 0.25 case1 case2 survey Hollow layer 0.25 Pole1 0.25 Pole2 0.25 Pole3 0.25 Pole4 29 31 33 35 37 39 41 43 45 29 31 33 35 37 39 41 43 45 29 31 33 35 37 39 41 43 45 29 31 33 35 37 39 41 43 45 29 31 33 35 37 39 41 43 45 Figure 12 Air temperature profile Air temperature profile Figure 9 shows the top and bottom of an analytical value of case1 and case2 of the indoor vertical surface and the actual measurement values temperature profile. In the hollow layer, the actual measurement value became a high temperature from an analytical value. It is thought that the insolation hits the thermocouple, and the temperature was not able to be measured accurately. There is a possibility of failing though the thermocouple was covered with the aluminum foil to prevent the insolation being hit. Therefore, it will be necessary to examine the measurement in the future. Because case1 used the actual measurement value for the boundary condition of the wall in the indoor temperature distribution, the temperature is roughly corresponding. In case2, the temperature is corresponding by the upper part of the room. However, an analytical value became a high temperature from the actual measurement value on the floor. This is thought that it is a cause because it calculated regularly not to have considered the thermal storage of the floor this time. It will be necessary to do the unsteady analysis that considers thermal capacity in the future. CONCLUSION In this research, it experimented to verify the temperature rise in the hollow layer and the leakage of heat to the room under a radiation environment not uniform. Moreover, the change in the room temperature by the difference for the slat of the window shade was verified. Afterwards, the CFD analysis based on the experiment was done, and it compared it with the outcome of an experiment. As a result, the air temperature was roughly corresponding to the measurement the analysis. However, the difference was caused in the experiment and the analysis in the wall temperature. The unsteady analysis that considers thermal capacity will be done in the future. Moreover, the analysis that adds airconditioning is scheduled to be done. REFERENCES Yamane Y, et al. 2012, A Evaluation of Thermal Environment on Non-uniform Radiant Fields: A Subjective Experiment under Solar Radiation, Architectural Institute of Japan. Program Series Collected Articles: 387-388 Ito T, et al. 2012, A Evaluation of Thermal Environment on Non-uniform Radiant Fields: A Comparison of Subjective Experiment and CFD Analysis under Solar Radiation, Architectural Institute of Japan. Program Series Collected Articles: 389-390 Ito N, et al. 1991, A consideration of measuring method of air temperature in sunny space by using two different diameter thermo-couples, The Society of Heating, Air-Conditioning Sanitary Engineers of Japan, Program Series Collected Articles: 1181-1184 Suzuki H, et al. 2014, Study on hollow layer thermal characteristics of the solar shading device : Part2 Characteristics of the air exchange of the hollow layer using CFD analysis, Architectural Institute of Japan. Program Series Collected Articles: 175-176 Zhai Z, et al. 2007. Evaluation of various turbulencemodels in predicting airflow and turbulence in enclosed environments by CFD: Part-1:summary of prevent turbulence models, : HVAC&R Research, 13(6). - 862 -