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Development of a Profiling System for Energy Performance Assessment of Existing Buildings

기존 건축물을 위한 건물 에너지 프로파일링 시스템 개발

  • Received : 2016.10.04
  • Accepted : 2016.12.05
  • Published : 2016.12.30

Abstract

The building sector contributes to about 40% of total energy consumption in South Korea. In particular, existing buildings older than 15 years account for 75% of the energy consumption by the entire building sector in South Korea. When assessing energy performance of existing buildings by the use of dynamic simulation tools, there are a variety of barriers, e.g. cost, time, expertise, lack of building information, etc. In this study, the authors developed a building energy profiling system that provides quick and easy energy performance assessment of existing buildings. The building energy profiling system is based on a number of EnergyPlus simulation runs and Artificial Neural Network models. For the ANN models, a series of EnergyPlus pre-simulations were sampled by a Monte Carlo technique. Though the profiling system requires minimalistic inputs, it can provide information on (1) energy performance level of a given building, (2) energy benchmarking against peer buildings, and (3) quantification of energy conservation measures.

Keywords

Acknowledgement

Supported by : 한국에너지기술평가원(KETEP), 한국연구재단

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