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Smart multi-carrier energy system: Optimised energy management and investment analysis
- Source :
- 2016 IEEE International Energy Conference (ENERGYCON).
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- 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.
- Subjects :
- Mathematical optimization
Energy management
Sorting
Time horizon
02 engineering and technology
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Net present value
Energy accounting
0104 chemical sciences
Settore ING-IND/33 - Sistemi Elettrici Per L'Energia
Energy management system
energy management system, hydrogen storage,investment analysis, multi-objective optimisation
Genetic algorithm
Economics
Cash flow
0210 nano-technology
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE International Energy Conference (ENERGYCON)
- Accession number :
- edsair.doi.dedup.....1426e68e6542e61a17862d3f6afc01f2