PURPOSES : The purpose of this study is to derive implications by comparing overseas and domestic cases on the management of demand forecast risks in public-private partnerships (PPP) projects. METHODS : Demand forecast risk management measures of PPP were classified into three categories: Expected project IRR, Minimum income guarantee, and LPVR mechanism. According to the classification method, the overseas demand risk sharing method was introduced. The risk methods of demand risk for PPP projects in Korea were classified and compared with that of overseas cases. RESULTS : 1. The domestic PPP was developed from the perspective of investors rather than overseas. 2. The risk-sharing model was not considered during the bidding process. 3. The models for the demand forecasting errors were not diverse. CONCLUSIONS : The domestic BTO project includes several risk factors, among which the burden on demand forecast risks is critical. Future studies will be required to quantitatively evaluate risk factors in PPP projects and properly share the risks between the government and the private sector.

In this study, we have defined measurement and verification methods and procedures to assess the energy use on the utility system of building. Time series data conversion methods and algorithms have been proposed in performance evaluation options. To verify the feasibility of the method, the energy consumption of the refrigerator, which was an energy utility, was measured and analyzed. we present an algorithm based on the annual base conversion and analyze it based on actual data. As a result, a k-means clustering moving average method was defined for the performance calculation option A, and the use time correction coefficient method was proposed. The validity of this method was verified through the verification.