In the perspective of increasing the share of renewable energies, global warming mitigation and with respect to the issue of sustainable energy development, a district energy system, joined with poly-generation technologies, has been considered as a promising option.
Regarding the district energy system there are three main challenges; on environmental aspect, on energy efficiency and on economic aspect. “The complexity consists in supplying clean energy, consuming fewer fossil resources and finding appropriate solutions to reduce the emissions while also satisfying the energy requirement”. Therefore, a systematic procedure is needed to optimize the design and operation of the district energy system together with optimizing the size and the layout of physical distribution networks and logistic which is taking into account environmental burdens and costs simultaneously.
In this thesis, a flexible computational framework for multi-objective, multi-period optimization and thermo-environomic (i.e. energetic, economic and environmental) evaluation of district (urban) energy systems has been developed. The goal is to optimize the size and the operating strategy of the urban systems. The development of the multi-periods optimization with sequential time steps, the typical periods definition, the daily thermal storage model, the optimization model for layout of physical distribution networks and transportation of resources/products are the novelty of present work.”
Keywords:
- District energy systems
- Distribution networks
- Mixed Integer Linear Programming
- Evolutionary algorithm
- Multi-objective multi-period optimization
- CO2 mitigation
- Typical periods
- Daily thermal storage
Contact: Samira Fazlollahi