Bachelor's thesis Hardy Lottermann
Integration of cooling supplies in the design of urban energy systems with genetic algorithms - Exemplary application for Jülich Research CenterCopyright: EBC
An efficient and resource-saving urban energy supply concept promises the implementation of a combined cooling, heat and power (CCHP) system. The combination of various technologies of energy supply in a combined energy system can achieve both an ecological and economic advantage over a central energy supply from large power plants.
In this thesis, the development of a method for the design of an integral CCHP system is proposed. The method uses gas fuel driven turbines as well as engine combined heat and power units as prime mover and an auxiliary boiler for the heating supply. The cooling system considers centrifugal and absorption chillers. A multi-objective genetic algorithm has been used to optimise a set of possible heating and cooling configurations. The criteria of the optimisation are the minimization of CO 2-emissions and maximization of net present value. The implemented model includes a load management analysis of the cooling supply, consequently the design optimisation of the heat supply is carried out. The result of the design optimisation is a pareto set of solutions and includes for possible heating and cooling configurations the number, kind and size of energy supplies as well as the order within the configuration
The method is exemplary applied to Jülich Research Center with different energy supply scenarios. Results show that within the pareto set it is possible to recognize a technology exchange in heating configuration. The new developed method provides a set of pareto-optimal solutions to aid decison-making regarding to an alternative design of energy supplies for any given demand profile in a CCHP system.