Simulation, Experimental Design and Mathematical Programming for Retrofit Improvements to Large Scale Thermal Energy Systems;Licentiate thesis

摘要

A new methodology for finding and evaluating cost efficient improvements to an existing large scale energy system is presented. The methodology addresses two major problems connected with making improvements to large scale systems. Firstly, that implementations of the methodology should give sufficiently accurate results and secondly that the time it takes to complete the analysis should be short enough. What is sufficiently accurate and short enough depends on the purpose of the analysis and of the thermal system being analyzed. The methodology combines simulation, experimental design and mathematical programming. The main idea is to combine the simulation model and experimental design in order to make a regression model of the behavior of the whole system. The system is analyzed for possible improvements, which are included into a superstructure. Mathematical programming is then used to extract the best solution from the superstructure.