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COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE

Year 2019, Volume: 5 Issue: 4, 302 - 318, 24.06.2019

Bekir Sami Yilbas

https://doi.org/10.18186/thermal.581777
Cited By: 1

Abstract

Varying cooling load requirements in HVAC system become a major concern
to many consumers because of the additional cost of electricity. The cooling
load variation of HVAC system usually occurs when the domestic house door is
frequently kept open for prolonged durations, which is particularly important
in hot seasons. The present study, addresses a comparison of energy consumption
due to the thermal disturbance during domestic house door  keep opened for various duration when the
Variable Frequency Driver (VFD) and ON/OFF controllers are installed in HVAC
system. The experiments are carried out in two identical houses during six warm
days in a hot season where the outdoor temperatures have similar patterns
throughout the days. The energy response of HVAC system is analysed
incorporating the thermal and the electricity consumption data because of the
change of the indoor temperature during opening of the house main door. The
cost analysis is carried out and it is extended to include several repeats of
door opening durations. It is the first time demonstrated that the energy
consumption for HVAC system increases dramatically when the house main door is
kept opened for several times in a day. The energy consumption and additional
cost increase significantly for the case when the period of the main door
opening is extended. In this case, VFD A/C controller unit achieves more energy
savings than that of ON/OFF A/C controller unit.

Keywords

HVAC Energy Consumption Variable Frequency Drives VFD ON/OFF Cycle Cost Analysis

References

  • [1] Pal, J. S., and Eltahir, E. A. (2016). Future temperature in southwest Asia projected to exceed a threshold for human adaptability. Nature Climate Change, 6(2), 197-200.
  • [2] Belhadj, C. A., Hamanah, W. M., and Kassas, M., LabVIEW based real time monitoring of HVAC system for residential area. 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for [1] Measurement Systems and Applications (CIVEMSA).
  • [3] Afram, A., and Janabi-Sharifi, F. (2015). Gray-box modeling and validation of residential HVAC system for control system design. Applied Energy, 137, 134-150.
  • [4] Du, Z., Jin, X., Fang, X., and Fan, B. (2016). A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems. Applied Energy, 183, 700-714.
  • [5] Radhakrishnan, N., Su, Y., Su, R., and Poolla, K. (2016). Token based scheduling for energy management in building HVAC systems. Applied Energy, 173, 67-79.
  • [6] Fiorentini, M., Wall, J., Ma, Z., Braslavsky, J. H., and Cooper, P. (2017). Hybrid model predictive control of a residential HVAC system with on-site thermal energy generation and storage. Applied Energy, 187, 465-479.
  • [7] Alibabaei, N., Fung, A. S., Raahemifar, K., and Moghimi, A. (2017). Effects of intelligent strategy planning models on residential HVAC system energy demand and cost during the heating and cooling seasons. Applied Energy, 185, 29-43.
  • [8] Syed, H. (2009). Modeling, Analysis and Optimization of the Thermal Performance of Air Conditioners (Doctoral dissertation, King Fahd University of Petroleum and Minerals).
  • [9] Al-Shaalan, A., Ahmed, W., and Alohaly, A. (2014). Design guidelines for buildings in Saudi Arabia considering energy conservation requirements. In Applied Mechanics and Materials (Vol. 548, pp. 1601-1606). Trans Tech Publications.
  • [10] Kassas, M. Modeling and simulation of Residential HVAC Systems Energy Consumption. The 5th International Conference on Sustainable Energy Information Technology, Procedia Computer Science 52 (2015) 754-763.
  • [11] Fabi, V., Andersen, R. V., Corgnati, S., and Olesen, B. W. (2012). Occupants' window opening behaviour: A literature review of factors influencing occupant behaviour and models. Building and Environment, 58, 188-198.
  • [12] Pan, S., Xu, C., Wei, S., Hassan, T. M., Xie, L., Xiong, Y., and de Wilde, P. (2016). Improper window use in office buildings: findings from a longitudinal study in Beijing, China. Energy Procedia, 88, 761-767.
  • [13] Rijal, H. B., Tuohy, P., Nicol, F., Humphreys, M. A., Samuel, A., and Clarke, J. (2008). Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings. Journal of Building Performance Simulation, 1(1), 17-30.
  • [14] Brown, N., Wright, A. J., Caeiro, J. A., Altan, H., and Summerfield, A. J. (2006, December). Large scale energy surveys in the UK retail sector. In Proc. of the RICS Annual Conference Cobra.
  • [15] Khan, M. I. H., and Afroz, H. M. (2014). An experimental investigation of door opening effect on household refrigerator; the perspective in Bangladesh. Asian Journal of Applied Sciences, 7(2), 79-87.
  • [16] Hamanah,W.M., 2016, “Modeling, Simulation and Energy Performance of VFD and ON/OFF Cycle HVAC Systems,” M.S. thesis, KFUPM, Az Zahran, Saudi Arabia.
  • [17] W. M. A. Hamanah, M. Kassas, E. M. A. Mokheimer, C. B. Ahmed, and S. A. M. Said, “Comparison of Energy Consumption for Residential Thermal Models With Actual Measurements,” J. Energy Resour. Technol., vol. 141, no. 3, p. 032002, 2018.
  • [18] Belhadj, C. A., Hamanah, W. M., and Kassas, M., 2017, “LabVIEW based real time Monitoring of HVAC System for Residential Load,” IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Annecy, France, June 26–28, pp. 66–71.
  • [19] Dincer, I., M. M. Hussain, and I. Al-Zaharnah. "Analysis of sectoral energy and exergy use of Saudi Arabia." International Journal of Energy Research 28.3 (2004): 205-243.

Year 2019, Volume: 5 Issue: 4, 302 - 318, 24.06.2019

Bekir Sami Yilbas

https://doi.org/10.18186/thermal.581777
Cited By: 1

Abstract

References

  • [1] Pal, J. S., and Eltahir, E. A. (2016). Future temperature in southwest Asia projected to exceed a threshold for human adaptability. Nature Climate Change, 6(2), 197-200.
  • [2] Belhadj, C. A., Hamanah, W. M., and Kassas, M., LabVIEW based real time monitoring of HVAC system for residential area. 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for [1] Measurement Systems and Applications (CIVEMSA).
  • [3] Afram, A., and Janabi-Sharifi, F. (2015). Gray-box modeling and validation of residential HVAC system for control system design. Applied Energy, 137, 134-150.
  • [4] Du, Z., Jin, X., Fang, X., and Fan, B. (2016). A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems. Applied Energy, 183, 700-714.
  • [5] Radhakrishnan, N., Su, Y., Su, R., and Poolla, K. (2016). Token based scheduling for energy management in building HVAC systems. Applied Energy, 173, 67-79.
  • [6] Fiorentini, M., Wall, J., Ma, Z., Braslavsky, J. H., and Cooper, P. (2017). Hybrid model predictive control of a residential HVAC system with on-site thermal energy generation and storage. Applied Energy, 187, 465-479.
  • [7] Alibabaei, N., Fung, A. S., Raahemifar, K., and Moghimi, A. (2017). Effects of intelligent strategy planning models on residential HVAC system energy demand and cost during the heating and cooling seasons. Applied Energy, 185, 29-43.
  • [8] Syed, H. (2009). Modeling, Analysis and Optimization of the Thermal Performance of Air Conditioners (Doctoral dissertation, King Fahd University of Petroleum and Minerals).
  • [9] Al-Shaalan, A., Ahmed, W., and Alohaly, A. (2014). Design guidelines for buildings in Saudi Arabia considering energy conservation requirements. In Applied Mechanics and Materials (Vol. 548, pp. 1601-1606). Trans Tech Publications.
  • [10] Kassas, M. Modeling and simulation of Residential HVAC Systems Energy Consumption. The 5th International Conference on Sustainable Energy Information Technology, Procedia Computer Science 52 (2015) 754-763.
  • [11] Fabi, V., Andersen, R. V., Corgnati, S., and Olesen, B. W. (2012). Occupants' window opening behaviour: A literature review of factors influencing occupant behaviour and models. Building and Environment, 58, 188-198.
  • [12] Pan, S., Xu, C., Wei, S., Hassan, T. M., Xie, L., Xiong, Y., and de Wilde, P. (2016). Improper window use in office buildings: findings from a longitudinal study in Beijing, China. Energy Procedia, 88, 761-767.
  • [13] Rijal, H. B., Tuohy, P., Nicol, F., Humphreys, M. A., Samuel, A., and Clarke, J. (2008). Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings. Journal of Building Performance Simulation, 1(1), 17-30.
  • [14] Brown, N., Wright, A. J., Caeiro, J. A., Altan, H., and Summerfield, A. J. (2006, December). Large scale energy surveys in the UK retail sector. In Proc. of the RICS Annual Conference Cobra.
  • [15] Khan, M. I. H., and Afroz, H. M. (2014). An experimental investigation of door opening effect on household refrigerator; the perspective in Bangladesh. Asian Journal of Applied Sciences, 7(2), 79-87.
  • [16] Hamanah,W.M., 2016, “Modeling, Simulation and Energy Performance of VFD and ON/OFF Cycle HVAC Systems,” M.S. thesis, KFUPM, Az Zahran, Saudi Arabia.
  • [17] W. M. A. Hamanah, M. Kassas, E. M. A. Mokheimer, C. B. Ahmed, and S. A. M. Said, “Comparison of Energy Consumption for Residential Thermal Models With Actual Measurements,” J. Energy Resour. Technol., vol. 141, no. 3, p. 032002, 2018.
  • [18] Belhadj, C. A., Hamanah, W. M., and Kassas, M., 2017, “LabVIEW based real time Monitoring of HVAC System for Residential Load,” IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), Annecy, France, June 26–28, pp. 66–71.
  • [19] Dincer, I., M. M. Hussain, and I. Al-Zaharnah. "Analysis of sectoral energy and exergy use of Saudi Arabia." International Journal of Energy Research 28.3 (2004): 205-243.
There are 19 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Bekir Sami Yilbas

Publication Date June 24, 2019
Submission Date February 11, 2018
Published in Issue Year 2019 Volume: 5 Issue: 4

Cite

APA Yilbas, B. S. (2019). COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE. Journal of Thermal Engineering, 5(4), 302-318. https://doi.org/10.18186/thermal.581777
AMA Yilbas BS. COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE. Journal of Thermal Engineering. June 2019;5(4):302-318. doi:10.18186/thermal.581777
Chicago Yilbas, Bekir Sami. “COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE”. Journal of Thermal Engineering 5, no. 4 (June 2019): 302-18. https://doi.org/10.18186/thermal.581777.
EndNote Yilbas BS (June 1, 2019) COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE. Journal of Thermal Engineering 5 4 302–318.
IEEE B. S. Yilbas, “COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE”, Journal of Thermal Engineering, vol. 5, no. 4, pp. 302–318, 2019, doi: 10.18186/thermal.581777.
ISNAD Yilbas, Bekir Sami. “COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE”. Journal of Thermal Engineering 5/4 (June 2019), 302-318. https://doi.org/10.18186/thermal.581777.
JAMA Yilbas BS. COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE. Journal of Thermal Engineering. 2019;5:302–318.
MLA Yilbas, Bekir Sami. “COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE”. Journal of Thermal Engineering, vol. 5, no. 4, 2019, pp. 302-18, doi:10.18186/thermal.581777.
Vancouver Yilbas BS. COST EFFECTIVE OPERATION OF HVAC SYSTEM UNDER THERMAL DISTURBANCE. Journal of Thermal Engineering. 2019;5(4):302-18.

Cited By

EFFECT OF EXHAUST LAYOUT ON THE INDOOR THERMAL COMFORT UNDER HARSH WEATHER CONDITIONS
Journal of Thermal Engineering
Ahmed KHALEEL
https://doi.org/10.18186/thermal.847117

IMPORTANT NOTE: JOURNAL SUBMISSION LINK http://eds.yildiz.edu.tr/journal-of-thermal-engineering