Integration of biomass into urban energy systems for heat and power. Part I: An MILP based spatial optimization methodology
作者： Antonio M. Pantaleo , Sara Giarola , Ausilio Bauen , Nilay Shah
DOI: 10.1016/J.ENCONMAN.2014.03.050
关键词:
摘要: The paper presents a mixed integer linear programming (MILP) approach to optimize multi-biomass and natural gas supply chain strategic design for heat power generation in urban areas. focus is on spatial temporal allocation of biomass supply, storage, processing, transport energy conversion (heat CHP) match the demand residential end users. main aim lies representation relationships between processing biofuel steps, trade-offs centralized district heating plants local systems. After description state art research trends systems bioenergy modelling, an application methodology generic case study proposed. With assumed techno-economic parameters, based thermal results competitive with gas, while network option areas high density. Potential further applications this model are also described, together barriers development routes
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