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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Main Authors: Bartolucci Lorenzo, Cordiner Stefano, Mulone Vincenzo, Pasquale Stefano
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/14/e3sconf_100res2021_02001.pdf
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spelling 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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