6533b835fe1ef96bd129fec4

RESEARCH PRODUCT

Smart multi-carrier energy system: Optimised energy management and investment analysis

Eleonora Riva SanseverinoDiego ArnoneMariano Giuseppe IppolitoMassimo BertonciniGiuseppe PaternoAlessandro Rossi

subject

Mathematical optimizationEnergy managementSortingTime horizon02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesNet present valueEnergy accounting0104 chemical sciencesSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEnergy management systemenergy management system hydrogen storageinvestment analysis multi-objective optimisationGenetic algorithmEconomicsCash flow0210 nano-technology

description

This paper proposes an optimised Energy Management System for a multi-carrier hub, which integrates two energy distribution networks, for hydrogen and electricity. The economic sustainability of a real-life instantiation of such a system has been analysed as well. The Energy Management System has been developed by means of a multi-objective optimisation algorithm, the Non-dominated Sorting Genetic Algorithm II, implemented using MATLAB®. The achieved results consist in a series of set-points defining the working conditions of the plant for a chosen time horizon. Data provided by this process also show the effectiveness of the adopted optimisation approach. The financial analysis is performed taking into account costs and revenues of a real demonstration plant. These cash flows have been evaluated by means of Net Present Value index. The proposed analysis shows a possible solution that is profitable for stakeholders and guarantees a short Pay Back Time.

yearjournalcountryeditionlanguage
2016-04-012016 IEEE International Energy Conference (ENERGYCON)
https://doi.org/10.1109/energycon.2016.7513926