DOI QR코드

DOI QR Code

다항함수를 이용한 건물의 연간부하 예측 방법에 관한 연구

Study on the Annual Building Load Predicting Method using a Polynomial Function

  • 윤희원 (대한기계설비산업연구원) ;
  • 최승혁 (대한기계설비산업연구원) ;
  • 류형규 (대한기계설비산업연구원)
  • Yun, Hi-won (Korea Research Institute of Mechanical Facilities Industry) ;
  • Choi, Seung-Hyuck (Korea Research Institute of Mechanical Facilities Industry) ;
  • Ryu, Hyung-Kyou (Korea Research Institute of Mechanical Facilities Industry)
  • 투고 : 2016.12.07
  • 심사 : 2017.02.06
  • 발행 : 2017.03.01

초록

In order to use and manage the building energy efficiently, it is necessary to minimize building energy consumptions, and establish operation plans of various equipment. The maximum heating and cooling load calculation is an essential way in various equipment selections, and the annual building load calculation is used in forecasting & evaluating the LCC required for operation plan. In this study, noting that the annual building load changes depending on outside temperature around year, we propose a predicting method of annual building load. By using the $4^{th}$ polynomial function that have two double radix and a feature the $f(x)=a^4$ in x = 0 condition, we can calculate annual building load very easily only with the two result (maximum heating and cooling load) and a minimum parameters.

키워드

참고문헌

  1. Michel A. Bernier, Ph.D., P.Eng., Uncertainty in the Design Length Calculation for Vertical Ground Heat Exchangers, ASHRAE AC-02-15-2, 2002
  2. Ryu, H. K. et al., Study on the Annual Building Load redicting Method using a 4th Polynomial Function, SAREK, pp. 241-244, 2015-W
  3. Kim, E. J., Impact of different boundary condition in generating g-function on sizing of ground heat exchangers, SAREK, Vol. 26, No. 6, 2014.
  4. Seok, H. T., 1995, A study on the development of load prediction equation and design guidelines for the energy conservation of office building, DS thesis, Seoul National University, Seoul, Korea
  5. Ryu, H. K. et al., Development of Open-Loop Ground Heat Exchanger Capacity Design Tool for Large Geothermal Facilities, SAREK, pp. 575-578, 2015-S

피인용 문헌

  1. 신재생에너지 보급 활성화를 위한 공공데이터 활용 방안 -지열에너지 연관 데이터를 중심으로- vol.9, pp.11, 2017, https://doi.org/10.15207/jkcs.2018.9.11.253