| RCCHP(combined cooling,heating and power system coupled with renewable energy)system is an alternative energy solution covering various energy generation and storage units.This system is based on demand side response and takes the principle of"self-powered electricity generation and maximized waste heat utilization" for on-site energy production incorporating cooling,heating and electricity generation.RCCHP system makes the efficient and coordinated use of renewable energy e.g.clean solar&wind energy,high grade heat of nature gas for electricity generation and low grade heat energy for cooling and heating,wherefore achieves on-site power generation and energy supply as well as the appropriate energy distribution,rational and cascade utilization of the flue gas temperature,and meanwhile improves the overall efficiency of energy conversion.This thesis investigates the optimal allocation,operation and scheduling strategy for the above mentioned RCCHP system,wherein the core technologies include gas turbine/gas engine,the lithium bromide absorption refrigerator and storage device,the coupled photovoltaic and wind turbine system.The main work is as follows:The first chapter describes the background and motivation of the research,and analyzes the R&D status of the RCCHP system at home and abroad.The second chapter establishes the unit modules of the RCCHP system,including the optimization matrix of prime mover selection and configuration,the mathematical model of wind turbine and PV system,the heating sub module,refrigeration sub module and energy storage module.The third chapter introduces three operation modes of RCCHP system,and compares the system’s economic,environmental,and energy saving performance by evaluation indicators with the traditional stand-alone systems.A MINLP(mixed-integer nonlinear programming)model is developed for the optimal configuration of the system.The results of the three operation modes are analyzed with multiple cases where the maximum net present value is the objective function.Moreover,the sensitivity analysis of varied natural gas and electricity prices on total operating cost,the capacity of technologies is performed.The fourth chapter develops an operation optimization model of RCCHP system for five types of functional buildings based on the geographical location,natural conditions and end-use hourly load curves of cooling,heating and electricity.The GAMS mathematical modeling software is applied under two optimization modes to obtain the optimal operation strategy,technical combinations,design capacity and hourly scheduling strategy for the five building systems in typical spring,summer,autumn and winter days considering economic,environmental,and energy-saving indexes.The fifth chapter summarizes the main conclusions and limitations of this paper,and the outlook for the next step research plan. |
