Kwang Ho Lee

In recent years, advanced information technologies, such as deep learning and big data, have been actively applied in building energy management systems to improve energy efficiency. Various studies have been conducted on the prediction of renewable energy performance using machine learning techniques. In this study, a recurrent neural network (RNN) was utilized in predicting photovoltaic (PV) power generation. An RNN is an artificial neural network in which the connection between units is compo

In this study, prediction performances of a regression model and deep learning-based predictive models were comparatively analyzed for the prediction of hourly insolation in regions located at the temperate climate and microthermal climate with high precipitation. Unlike linear regression models, artificial neural networks (ANN) and long short-term memory- (LSTM-) based models achieved reliable predictive performances with CV(RMSE) of 14.0% and 15.8%, respectively. This study proposed the direct

In order to develop a fault detection and diagnosis (FDD) algorithm for air handling unit (AHU) based on machine learning, the economizer outdodor air temperature (OAT) sensor fault was modeled. Through EnergyPlus program, the economizer OAT sensor modeled a fault that measures the OAT that's higher or lower than the actual temperature. The distribution of abnormal node point air temperature produced by the fault at the control point of the economizer was reviewed. In addition, the relationship

본 연구에서는 열회수형 환기시스템의 에너지 절약적인 운영에 대한 검토를 위하여 다양한 타입별 ERV의 by-pass 외기냉방제어로 인한 에너지 절감 효과를 분석하고, ERV의 월별 by-pass 외기냉방 운전시간 비율과 열교환되는 풍량, 열교환 효율 등을 비교하였다. 본 연구의 도출된 결론은 다음과 같다. (1) 열교환 소자에 따른 에너지 절감률을 검토했을 때, 온도 성분만의 에너지를 회수하는 현열교환기는 엔탈피 성분의 에너지를 회수하는 전열교환기보다 에너지 소비량이 약 6.6% 많고, Base Case인 VAV system보다는 약 2.4% 에너지 소비량이 많아 고온다습한 국내 환경에 적합하지 않은 것으로 판단된다. (2) 열교환 방식의 구조에 따른 에너지 절감률을 검토했을 때, 열교환 소자의 판과 판 사이에서 실내외 공기를 교차시키는 판형 전열교환기보다 휠의 회전으로 실내외 공기를 흡수, 배출하는 로터형 전열교환기가 약 4.5% 에너지가 절감되는 것으로 분석되었으며, 열교환 효율

In this study, the present regulation of heat metering for the ground source heat pump was investigated. The ground source heat pump has been adopting the heat metering system used in the district heating system for estimating the heating and cooling energy production amount. The accuracy of the present heat metering systems for a water to water ground source heat pump is low, because the system for district heating has a relatively high temperature range comparing with the ground source heat pu

소비자계약에서 소비자의 지위상 특성에서 기인한 정보의 비대칭 문제는 소비자의 합리적인의사결정을 방해하고 계약의 공정성을 저해한다는 점에서 문제로 거론된다. 따라서 현대의 소비자계약법제는 사업자에게 정보제공의무를 부여함으로써 이러한 문제에 대응하고 있는데, 특히표시⋅광고의 공정화에 관한 법률 제4조는 공정거래위원회가 고시한 중요정보의 필요적 표시⋅ 광고를 명시적으로 규정함으로써, 사업자에게 정보제공의무를 구체적이고 실정법적으로 부과하고 있다는 점에서 그 의의가 크다. 다만, 부당한 표시⋅광고를 금지하는 제3조와 표시⋅광고 시 중요정보를 포함할 것을 규정하는 제4조의 관계에 있어서, 실무적으로 양자는 결합하여 발생함으로써 그 위반의 효과에 대한해석상의 어려움이 있다. 따라서 행위 유형별 양상에 대하여 제4조 위반이 단순한 행정상의 과태료 제재에 그치지 않고, 그 내용과 유형에 따라 제3조 제1항에 해당하는 경우에는 제10조의무과실 손해배상책임까지도 수반될 수 있음을 논증하고자 한다. 나

Purpose: Recently, there are many research projects conducted to achieve smart cities. Smart cities consist of smart buildings that include efficient energy supply and consumption systems. The Artificial Intelligence (AI) technologies became useful tools for this purpose due to their reliability of prediction accuracy and credibility. It is very important to better understand how the AI algorithms work and can be applied for specific areas of energy efficiency in buildings. This paper presents h

Heat pumps cover a wide range of heating and cooling applications owing to their means of drawing out heat from ground, air and water at low temperature. In order to acquire performance data for heat pump certification and rating, the calorimeter is used in measuring the heat pump. In conventional approach of measuring the heat pump with standard test conditions, a great amount of energy is used in the calorimeter for cooling and heating. Using innovative ways to enhance the calorimeter performa

This paper presents the recent research developments identified through a review of literature on the application of artificial intelligence in developing automated designs of fire protection facilities. The literature review covered research related to image recognition and applicable neural networks. Firstly, it was found that convolutional neural network (CNN) may be applied to the development of automating the design of fire protection facilities. It requires a high level of object detection

In this study, the technologies and regulations for distributing standing column well(SCW) ground source heat pump systems to the residential cluster homes were investigated. They have only been installed in the public or commercial building having different load pattern and site structure compared with the residential cluster homes. Some of SCWs for the residential cluster homes should be installed under the basement due to a lack of site area. There are pressure differences between the SCWs in