A Study on Winter Season Measurement Results to cope with Dynamic Pricing for the VRF Systemopen accessA Study on Winter Season Measurement Results to cope with Dynamic Pricing for the VRF System
- Other Titles
- A Study on Winter Season Measurement Results to cope with Dynamic Pricing for the VRF System
- Authors
- 김환용; 김민석; 이제헌; 송영학
- Issue Date
- 2015
- Publisher
- 대한건축학회
- Keywords
- TOU(Time On Use); VRF System; Field Measurement; Regression Analysis; Energy Consumption
- Citation
- Architectural Research, v.17, no.3, pp 109 - 115
- Pages
- 7
- Indexed
- KCI
- Journal Title
- Architectural Research
- Volume
- 17
- Number
- 3
- Start Page
- 109
- End Page
- 115
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/17955
- DOI
- 10.5659/AIKAR.2015.17.3.109
- ISSN
- 1229-6163
2383-5575
- Abstract
- The dynamic pricing of electricity, where the electricity rate increases in a time zone with a high demand for electricity is typically applied to a building whose power reception capacity is greater than a certain size. This includes the time of use(TOU) electricity pricing in Korea which can induce the effect of reducing the power demand of a building. Meanwhile, a VRF (Variable Refrigerant Flow) system that uses electricity is regarded as one of the typical heating and cooling systems along with central air conditioning (central HVAC) for its easy operation and application to the building. Thus, to reduce power energy and operating costs of a building in which the TOU and VRF systems are applied simultaneously, we suggested a control for changing the indoor temperature setting within the thermal comfort range or limiting the rotational speed of an inverter compressor. In this study, to describe the features of the above-mentioned control and verify its effects, we evaluated the results obtained from the analysis of its operation data. Through the actual measurements in winter operations for 73 days since mid- December 2014, we confirmed a reduction of 10.9% in power energy consumption and 12.2% in operating costs by the new control. Also, a reduction of 13.3% in power energy consumption was identified through a regression analysis.
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