DOI QR코드

DOI QR Code

Operation Results and Utility of Dynamic Pricing Response Control-Applied VRF System in Summer Season

  • Kim, Min-seok (Department of Architectural Engineering, Gyeongsang National University) ;
  • Lee, Je-hyeon (Department of Digital Appliances R&D Team, Samsung Electronics) ;
  • Song, Young-hak (Department of Architectural Engineering, ERI, Gyeongsang National University)
  • Received : 2017.07.12
  • Accepted : 2017.09.18
  • Published : 2017.09.30

Abstract

Dynamic pricing refers to a system in which a tariff varies, according to a level of charging and applied time depending on time change. The power billing system used in the Korean Electric Power Corporation (KEPCO) is based on time of use (TOU) pricing, which is one of the dynamic pricing systems. This paper aimed to determine the operational results of a variable refrigerant flow system, to which a new control algorithm was applied, in order to respond to dynamic pricing, in summer and the utility of the new control. To do this, real measured data was acquired from a VRF system installed in a building for educational purposes, where dynamic pricing was applied for about 100 days during summer time. At the maximum load operation time period in TOU, the new control minimized operation within the indoor comfort range, an increase in refrigerant evaporation temperature in the indoor unit and the number of revolutions in a compressor in the outdoor unit was limited. As a result, power usage was decreased by 11%, and the operational cost by 14.6%. Furthermore, measurement results using the Predicted Mean Vote (PMV) model, that represented satisfaction of thermal environment, showed that 82.8% to 90.4% of the occupants of the building were satisfied during operation when the new control was applied.

Keywords

TOU (Time of Use);VRF system;Field Measurement;Energy Consumption

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

References

  1. Ahsan, R. K., Anzar, M., Awais, S., Zafar, A. K., Naveed, A. K., 2016 Load forecasting, dynamic pricing and DSM in smart grid: A review, Renewable and Sustainable Energy Reviews, Vol 54, Pages 1311-1322 https://doi.org/10.1016/j.rser.2015.10.117
  2. Kwon, J.H., Han, S.M., Park, S.W., Choi, D.C., Kim, B. H., 2010, Analysis of The Impact of Demand Response by Dynamic Pricing for Residential Customers, Journal of KIEE, Vol. 2010, pp. 548-549
  3. Kim, H.Y., Kim, M.S., Lee, J.H., Song, Y.H., 2015, A Study on Winter Season Measurement Results to cope with Dynamic Pricing for the VRF System, Architectural Research, Vol.17 No.3, pp. 109-115 https://doi.org/10.5659/AIKAR.2015.17.3.109
  4. Kim, S.C., Lee, J.M., Takeshi, T., Kim, S.O., Oh, S. H., Choi, J.B., 2011, A Study on Development of Cooperative Control Logic for VRF System, Journal of KIBIM, Vol. 1, pp. 119-120
  5. Moon, H.J., Kim, J.W., 2015, An Experimental Study on the Performance of a VRF Air Conditioning System with a Thermal Comfort Control Algorithm, Journal of KIAEBS, Vol. 9, pp. 247-252
  6. Kim, J.M., Choi, J.B., Lee, S.W., Cho, D.H., Lee. P.H., Kim, Y.J., 2011, Development of Comfort Control Logic for VRF System in Summer Season by using 3 Environment Factors (Temperature, Humidity and Air flow), Journal of SAREK, Vol. 23, pp. 610-619
  7. Lee, S.J., Lee, H.H., Kim S.M., Lim, J.H., Song S.Y., 2012, Study on the Heat Storage and Dissipation of Thermally Activated Building System Applied with Phase Change Materials, Journal of KIAEBS, Vol.2012, pp. 75-78
  8. Lim, J.H., Jin, H.S, Song, J.H., Song, S.Y., 2016, Evaluation on the Cooling Operation Strategies of Thermally Activated Building System(TABS) Using Nighttime Electricity, Proceeding of AIK, Vol. 2016, pp. 1377-1378
  9. International Performance Measurement Verification(2012), Efficiency Valuation Organization, Vol 1
  10. ANSI/ASHRAE, 2013. Standard 55: Thermal environmental conditions for human occupancy.
  11. ISO-7730, Moderate Thermal Environments Determination of the PMV and PPD Indices and Specification of the Conditions for the Thermal Comfort, ISO, 1985