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1 ビル快適空調制御快適空調制御システムシステムの開発開発と実用化 Development and Utilization of Comfort Air-Conditioning Control System for Building Kenzo Yonezawa, Yuukou Wada, Yuuichi Hanada and Nobutaka Nishimura Abstract: In the air-conditioning control system for building, keeping inhabitant thermally comfortable and saving energy has been requested. A new control system for room temperature's set values using comfort index PMV with neural network and fuzzy theories has been developed. The intelligent air-conditioning control function has been installed as a key function of total building control system as well as other functions. The basic concept is that the target set values for the room temperature should be changed dynamically so as to suit the constantly changing room environment. The evaluation of energy-saving and thermal comfort effects have been tested by the process simulator in the first phase. The verification tests of the system have been done in actual office buildings and department stores. Good results have been obtained for cooling control during summer season. These good results are accepted and these control systems are installed in many buildings formally. This system is a powerful control method realizing both energy-saving and comfort to air-conditioning in the buildings. Key Words: air-conditioning, building, control, comfort index, saving energy ISO14000 SICE (017) Toshiba Corp., Fuchu-shi,Tokyo Toshiba Corp., Minato-ku,Tokyo (Received January 5, 05), ( Building and Energy Management System) BEMS ( 17

2 .. Fig. CC HC HF Exhaust Air Outdoor Air Return Fan AF Air-conditioner CC Chilled Water HC HF Hot Steam Water Fan L O C ( D D C ) Fig.1 Configuration of air-conditioning control process Room Thermometer Hygrometer Center. Fig. Outdoor Air Solar Radiation Number of Person ECS Heat Load Room Wall Fig.2 Functional configuration of energy-saving air- conditioning control system LOC Heat Source Control Optimal Air-cond. Start/stop Control Night Purge Control Minimum Outdoorair Intake Control Comfort Aircond. Control. 18

3 Predicted Mean Vote 7730 Fanger() 6 (1) Fig. PMV PMV PMV = (0.352e 0.042M / A ) L Fanger PMV Hot Warm Slightly Warm Neutral Slightly Cool Cool Cold Energy-saving side When cooling Comfort range Energy-saving side When heating BEMS () Fig. PMV Hot Thermal Sensation Warm Training Data Air-condition Unit Comfort Learning Reference Cool Setting Parameter Value Setting Setting Correction Clothing Calc. Summer PMV Winter Setting Neuro- PMV Activity Deskwork Calc. Humid. Heavywork Mean Radiant MRT Setting Office Room Fig.4 Functional configuration of comfort airconditioning control Fig.3 Comfort index PMV and energy-saving (1). IT Fig.5 Setting interface of metabolism & clothes amount 19

4 Fig.. Fig.. Fig. Fig. Main menu Fig.6 Functional configuration of diagnosis tool Example of parameter setting interface Fig.7 Main menu & interface of parameter setting

5 . Fig.8 ( ) PMV Outdoor Air Room (Comfort Air-con.) Room (Conventional Control) Time(Hr) (a) Temperature Upper Limit of Comfort Range Time(Hr) (b) PMV value Comfort Air-con. Conventional Control Fig.8 Example of simulation results PMV 0.3 b PMV Fig.10 Fig.9 (MJ) ( ) /1 7/4 7/7 7/10 7/13 7/16 7/19 7/22 7/25 7/28 7/31 The Date Fig.9 Weather data utilized for diagnosis Energy Saving Humidity Conventional The Date Fig Example of energy-saving diagnosis result 25 ()Vol.33No Humidity(%) 21

6 Fig.12 Variable Air Volume Fig.11 TIC: Temperature Indicating Controller PIC: Pressure Indicating Controller INV: Inverter Exhaust Air Outdoor Air Fan Valve Air-conditioner Static Pressure Sensor Temperature Sensor Fig Single duct variable air volume system Constant Volume Single Duct System M Table1. VAV: Variable Air Volume System LOC: Local Object Controller Hygrometer Return Air Supply Air Thermometer Thermometer Thermometer Room F A-zone A Electric Energy (kwh),water Consumption Energy (MJ) Interior Room Outdoor Air Perimeter Room Chilled Water Consumption Energy Electric Energy ( ) 0 8/17 8/17 8/17 8/17 8/18 8/18 8/18 8/18 8/21 8/21 8/21 8/21 8/22 8/22 8/22 8/22 8/23 8/23 8/23 8/23 8/24 8/24 8/24 8/24 8/25 8/25 8/25 8/25 8/28 8/28 8/28 8/28 8/29 8/29 8/29 8/29 8/30 8/30 8/30 8/30 8/31 8/31 8/31 8/31 9/1 9/1 9/1 9/1 9/4 9/4 9/4 9/4 9/5 9/5 9/5 9/5 9/6 9/6 9/6 9/6 9/7 9/7 9/7 9/7 9/8 9/8 9/8 9/8 9/11 9/11 9/11 9/11 9/12 9/12 9/12 9/12 9/13 9/13 9/13 9/13 9/14 9/14 9/14 9/14 9/15 9/15 9/15 9/15 9/18 9/18 9/18 9/18 9/19 9/19 9/19 9/19 9/ 9/ 9/ 9/ 9/21 9/21 9/21 9/21 9/22 9/22 9/22 9/22 Fig.12 Trend graph of verification test results 22

7 Name of Bldg. Bldg. Bldg. Bldg. Use Office Office Large Scale Department Store Outline Stories 39 Floors Plus 3 Basement Levels 14 Floors Plus 2 Basement Levels 9 Floors Plus 2 Basement Levels of Bldg. Total Floor Area About 165,000 2 About 50,000 2 About 44,000 2 Air Conditioning System Variable Air Volume System Zoning(Interior + Perimeter) Single-duct System Zoning(Interior + Perimeter) Single-duct System Zoning Energy-saving Control Method Comfort Air-Conditioning Control Comfort Air-Conditioning Control +Inverter Control Comfort Air-Conditioning Control +Inverter Control Verification Area 26F31F (A,B,C,D Zone 12F (A,B Zone) 6F (A,B Zone), 3F (C,D Zone) Term 8/2111/15 (Except Sat.,Sun.,Holiday) 8/1711/1 (Except Sat.,Sun.,Holiday) 9/2611/14 Average for Energy Cut Down Rate Days (HOAT * 25) Average for Days (15 HOAT * 25) Table 1 Verification test results of energy-saving effect * HOAT : Highest Open Air in a Day 8/178/ ( H13 ) 6,274GJ 1,970 1,728MWh 1, Fig. Fig % 5 6% 1 1% 2 6% 3 59% 4 29% Conventional control Comfort control Fig Questionnaire result () % 1% 4% 3 60% BEMS IT 23

8 NEDO BEMS 1 BEMS BEMS ) C1(01) 2) /43(04) 3) 4) No /419 (1998) 5) 8 No.975,4-408/409 (1996) 6) ( ) 16 kanto.htm 8) 3 (1987) 9) (1986)

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