The optimization of combined energy systems for the productionand distribution of warm and cold fluids to civil users is verycomplex; two possible configurations, i.e. the small single units forindividual buildings and the large plants integrated with districtheating networks, can be essentially considered, especially in coldclimates. Dealing with such a complex problem, involving a verylarge number of variables, requires efficient algorithms and resolutiontechniques.The research develops a new methods of MathematicalProgramming, and particular techniques of Mixed Integer LinearProgramming (MILP) for the optimization of poly-generationsystems dedicated to individual users (Single Building Optimization,SBO) and district energy sistem (μ -grids) powered by CHCP whichinclude a thermal energy storage in the more general configuration.A novel approach is presented, oriented to design and optimizedistrict energy systems, assuming to have detailed data available asconcerns the energy consumption profiles and the location ofbuildings; the method evaluates a number of feasible layouts for theheat distribution network and relies upon pre-defined cost models forplant components in order to identify the most profitable plant designand operation.The research, being connected to a tariff changing scenario anddon’t taking into account the types of consumption, show how theregional Tariff areas lead to different system configurations.A qualitative analysis is done on the effects that tariff options haveon the local design criteria for poly-generation plants using thesoftware optimization of a cluster of buildings of a hospital complexwith the same consumption profiles and placed in three differentregions of Italy such as Sicily, Lazio and Piemonte evaluatingdifferent system configurations and obtained their values of objectivefunction.
|Number of pages||10|
|Publication status||Published - 2011|