Jiangjiang Wang

TL;DR: In this article, the SSM (state-space method) combined with the probabilistic analysis of Markov model is employed to analyze the reliabilities of three forms of energy supply including electricity, heat and cool in a building cooling, heating and power (BCHP) system.

TL;DR: In this paper, the energy and emission flows and different operation strategies of a building cooling heating and power (BCHP) system driven by a gas engine are analyzed, and the results show that a reasonably sized BCHP system with an electric load-following strategy has the best performance under a wide interval of criteria weights.

TL;DR: In this paper, the authors proposed an optimal combined weighting method to consider the subjectivity of decision-maker and the objectivity of measurement data to obtain rational result, which is used to select the best CHP system with respect to users' requirements.

TL;DR: In this paper, the authors presented the optimization problem of building cooling heating and power (BCHP) system that includes the decision variables, the objective function, the constraint conditions and the solution method.

TL;DR: In this paper, an integrated optimization design model combined a case study in Harbin, China, is proposed to minimize the annual total cost (ATC) by the genetic algorithm (GA), and the results show that the error of the optimization ATC is only 0.00041% and the optimization speed of this optimization model is 12.4 times than that of the general cycle calculation.