Experimental Comparison between CAV Control and CO2 Ventilation Control Approaches with Respect to Energy Saving of Air Conditioner

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The objective of this study was to investigate the efficiency of the CO2 control ventilation to enhance energy saving compared with constant air ventilation (CAV) approach of air conditioner. To this end, a small air-conditioner room of 20 square meters was used as the testing room. A carbon dioxide (CO2) sensor was installed inside to measure indoor air quality while two enthalpy sensors were installed both inside and outside for indoor and outdoor air enthalpies online monitoring. The algorithm of CO2 control ventilation used is to compare the CO2 difference between inside and setpoint; when the inside CO2 concentration is lower than the setpoint, the controller will sent a signal to stop the fresh air intake and exhaust air fans. Measurement were conducted for three indoor temperature set points namely 24, 25 and 26 oC. The indoor CO2 level was set at 900 ppm, 800 ppm, 700 ppm and 600 ppm The results of measured electrical power consumption showed that CO2 approach when compared to the CAV approach could save 21.82%, 18.28%, 2.26% and 0.45% and ventilator save 64.19%, 53.4%, 16.8% and 1.26%, for the four CO2 concentration indoor setpoints considered respectively. Simple mathematical relationships were also derived to estimate the energy saving using the CO2 control ventilation. This CO2 control ventilation could be mainly applied for the air condition room of Thailand.

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1175-1182

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April 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Department of Alternative Energy Development and Efficiency, Thailand Energy Situation, (2009).

Google Scholar

[2] T. Leephakpreeda, R. Thitipatanapong, T. Grittiyachot and V. Yungchareon, Occupancy-Based Control of Indoor Air Ventilation: A Theoretical and Experimental Study, Science Asia, 27 (2001) 279-284.

DOI: 10.2306/scienceasia1513-1874.2001.27.279

Google Scholar

[3] Z. Wang, L. Yi and F. Gao, Night ventilation control strategies in office buildings, Solar Energy, 83 (2009) 1902-(1913).

DOI: 10.1016/j.solener.2009.07.003

Google Scholar

[4] C.Y.H. Chao and J.S. Hu, Development of a dual-mode demand control ventilation strategy for indoor air quality control and energy saving, Build. Environ. 39 (2004) 385-397.

DOI: 10.1016/j.buildenv.2003.11.001

Google Scholar

[5] B.J. Wachenfeldt, M. Mysen and P.G. Schild. Air flow rates and energy saving potential in schools with demand-controlled displacement ventilation, Ener. Build. 39 (2007) 1073-1079.

DOI: 10.1016/j.enbuild.2006.10.018

Google Scholar

[6] S.W. Wang and X.H. Xu, Optimal and robust control of outdoor ventilation airflow rate for improving energy efficiency and IAQ, Build. Environ. 39 (2004) 763-773.

DOI: 10.1016/j.buildenv.2004.01.033

Google Scholar

[7] V. Boonyayothin, J. Hirunlabh, P. Khummongkol, S. Teekasap, U.C. Shin and J. Khedari, Ventilation Control Approach for Acceptable Indoor Air Quality and Enhancing Energy Saving in Thailand, Int. J. ventilation, 3 (4) (2011) 315-326.

DOI: 10.1080/14733315.2011.11683889

Google Scholar

[8] ASHRAE. ANSI/ASHRAE Standard 62-1989, Ventilation for Acceptable Air Quality, American Society of Heating, Refrigerating and Air-conditioning Engineers. Inc. Atlanta, (1989).

DOI: 10.2172/5737921

Google Scholar

[9] ASHRAE. Ventilation for Acceptable Indoor Air Quality, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc, Atlanta, (2002).

Google Scholar

[10] ASHRAE, Thermal Environmental Condition for Human Occupancy, American Society of Heating Refrigerating and Air-Conditioning Engineers, Inc, (1981).

Google Scholar

[11] ASHRAE handbook, Fundamentals, American Society of Heating Refrigerating and air-conditioning Engineers, Inc, (1993).

Google Scholar