Design of a multi-energy system under different hydrogen deployment scenarios
Multi Energy Systems (MES) are effective means to increase Renewable Energy Sources (RES) penetration in the energy system and therefore to move toward a decentralized low-carbon system. Several energy vectors can be integrated together to exploit synergies in a MES framework, such as electricity, h...
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doaj-cea4f66cc6aa4ea8b440c44368dc0add2021-02-26T16:55:41ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012380200110.1051/e3sconf/202123802001e3sconf_100res2021_02001Design of a multi-energy system under different hydrogen deployment scenariosBartolucci Lorenzo0Cordiner Stefano1Mulone Vincenzo2Pasquale Stefano3University of Rome Tor Vergata, Department of Industrial EngineeringUniversity of Rome Tor Vergata, Department of Industrial EngineeringUniversity of Rome Tor Vergata, Department of Industrial EngineeringUniversity of Rome Tor Vergata, Department of Industrial EngineeringMulti Energy Systems (MES) are effective means to increase Renewable Energy Sources (RES) penetration in the energy system and therefore to move toward a decentralized low-carbon system. Several energy vectors can be integrated together to exploit synergies in a MES framework, such as electricity, heat and hydrogen. The latter is one of the most promising energy carriers to promote widespread use of MES. Predictive management and well-defined sizing methodology are mandatory to achieve maximum performance out of MES. In this study a grid-connected MES consisting of a photovoltaic (PV) plant, a Battery Energy Storage System (BESS) and a Proton Exchange Membrane Fuel Cell (PEMFC) as a programmable Combined Cooling Heat and Power (CCHP) source, is modelled. Natural gas is considered as an alternative fuel to pure hydrogen. Mixed Integer Linear Programming and Genetic Algorithm are used respectively to solve operation and sizing problems. A single-objective optimization approach, including emission factors as optimization constraints, is carried out to find the optimal configuration of the MES. Several future scenarios are studied, considering different percentages of hydrogen in the gas mixture and comparing the techno-economic performance of the system with respect to a pure hydrogen fueling scenario. Results showed that the environmental objective within the design optimization, promote the use of hydrogen, especially in scenarios with high share of green hydrogen.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/14/e3sconf_100res2021_02001.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bartolucci Lorenzo Cordiner Stefano Mulone Vincenzo Pasquale Stefano |
spellingShingle |
Bartolucci Lorenzo Cordiner Stefano Mulone Vincenzo Pasquale Stefano Design of a multi-energy system under different hydrogen deployment scenarios E3S Web of Conferences |
author_facet |
Bartolucci Lorenzo Cordiner Stefano Mulone Vincenzo Pasquale Stefano |
author_sort |
Bartolucci Lorenzo |
title |
Design of a multi-energy system under different hydrogen deployment scenarios |
title_short |
Design of a multi-energy system under different hydrogen deployment scenarios |
title_full |
Design of a multi-energy system under different hydrogen deployment scenarios |
title_fullStr |
Design of a multi-energy system under different hydrogen deployment scenarios |
title_full_unstemmed |
Design of a multi-energy system under different hydrogen deployment scenarios |
title_sort |
design of a multi-energy system under different hydrogen deployment scenarios |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
Multi Energy Systems (MES) are effective means to increase Renewable Energy Sources (RES) penetration in the energy system and therefore to move toward a decentralized low-carbon system. Several energy vectors can be integrated together to exploit synergies in a MES framework, such as electricity, heat and hydrogen. The latter is one of the most promising energy carriers to promote widespread use of MES. Predictive management and well-defined sizing methodology are mandatory to achieve maximum performance out of MES. In this study a grid-connected MES consisting of a photovoltaic (PV) plant, a Battery Energy Storage System (BESS) and a Proton Exchange Membrane Fuel Cell (PEMFC) as a programmable Combined Cooling Heat and Power (CCHP) source, is modelled. Natural gas is considered as an alternative fuel to pure hydrogen. Mixed Integer Linear Programming and Genetic Algorithm are used respectively to solve operation and sizing problems. A single-objective optimization approach, including emission factors as optimization constraints, is carried out to find the optimal configuration of the MES. Several future scenarios are studied, considering different percentages of hydrogen in the gas mixture and comparing the techno-economic performance of the system with respect to a pure hydrogen fueling scenario. Results showed that the environmental objective within the design optimization, promote the use of hydrogen, especially in scenarios with high share of green hydrogen. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/14/e3sconf_100res2021_02001.pdf |
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