Lack of a proper assessment method on performance risks in Energy Performance Contracting (EPC)projects is one of the reasons hindering the further development of energy service companies (ESCOs)market. This paper proposes a simulation-based method to evaluate the probability of energy savingshortfall taking into account the variations in the influential parameters, including weather conditions,occupancy, operating hours, thermostat set-point, etc., during the contract period. The proposed methodinvolves the use of a detailed building energy simulation programme, sensitivity analysis and MonteCarlo simulation techniques. Empirical data is also used to develop the probability distribution functionsfor the identified parameters to simulate the actual yearly variations in the post-retrofit conditions. Areal case study of replacement of heat rejection system for a central chiller plant in Hong Kong is usedto demonstrate the application of this probabilistic method. The result shows that the possible energysavings after a 1-year retrofit period ranges from 393,000 kW h (2.86%) to 1098,000 kW h (10.8%) with90% statistical significance.
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