A multi-energy system is composed of four main subsystems: i) energy conversion, ii) energy transportation, iii) energy supply, and iv) energy storage. Recent works in the literature dealing with the design and operation optimization of multi-energy systems usually include only one of the above-mentioned subsystems at a time and neglect the others or consider them as constraints imposed a priori. That kind of approach may lead to near optimal system configurations. In fact, the global optimum can only be achieved by the synthesis, design and operation optimization of the system in its entirety. Here, a mixed integer linear programming (MILP) approach is proposed to simultaneously optimize the size of the energy conversion and storage plants, the capacity of the energy networks, and the operation of the whole multi-energy system. The objective function consists in minimizing the life cycle cost of the system while imposing an upper bound on greenhouse gas emissions. Moreover, this upper...

Integrated design and operation optimization of multi-energy systems including energy networks

Dal Cin E.
;
Carraro G.;Lazzaretto A.;Volpato G.;Danieli P.
2023

Abstract

A multi-energy system is composed of four main subsystems: i) energy conversion, ii) energy transportation, iii) energy supply, and iv) energy storage. Recent works in the literature dealing with the design and operation optimization of multi-energy systems usually include only one of the above-mentioned subsystems at a time and neglect the others or consider them as constraints imposed a priori. That kind of approach may lead to near optimal system configurations. In fact, the global optimum can only be achieved by the synthesis, design and operation optimization of the system in its entirety. Here, a mixed integer linear programming (MILP) approach is proposed to simultaneously optimize the size of the energy conversion and storage plants, the capacity of the energy networks, and the operation of the whole multi-energy system. The objective function consists in minimizing the life cycle cost of the system while imposing an upper bound on greenhouse gas emissions. Moreover, this upper...
2023
Proceedings of ECOS 2023
36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
9781713874928
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3500120
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