Publication detail

Optimisation of multi-period renewable energy systems with hydrogen and battery energy storage: A P-graph approach

Ji, Mengmeng Zhang, Wan Xu, Yifan Liao, Qi Klemes, Jiri Jaromir Wang, Bohong

English title

Optimisation of multi-period renewable energy systems with hydrogen and battery energy storage: A P-graph approach

Type

journal article in Web of Science

Language

en

Original abstract

Renewable energy systems play an important role in alleviating environmental pollution, and their character-istics, including low emissions and recyclability, are highly favourable. At present renewable energy can be costly and renewable energy systems have room for optimization, particularly systems which cater to remote and island areas. This paper develops a P-graph-based multi-period energy model, using hydrogen for energy storage to satisfy the fluctuating electrical and thermal energy demand of an island. Hydrogen can be generated from renewable energy sources during off-peak periods and can be used to serve as an energy carrier. An economic and carbon footprint analysis of the system is performed, which compares a pure renewable energy system, with hydrogen storage, and with battery storage. Within the same scenario, the results show that the renewable energy systems with hydrogen storage and battery storage are 21.5 % and 5.3 % cheaper than the renewable energy system without energy storage, with CO2eq emissions of 1,717 t/y and 1,680 t/y. These findings show that the inclusion of energy storage systems has great potential to reduce costs within renewable energy systems. Changes in the supply of biomass were investigated (which had the greatest impact in the study area), as well as changes in the cost of hydrogen storage. In addition to the optimal solution, near-optimal solutions were also suggested to provide well-rounded guidance for implementation.

English abstract

Renewable energy systems play an important role in alleviating environmental pollution, and their character-istics, including low emissions and recyclability, are highly favourable. At present renewable energy can be costly and renewable energy systems have room for optimization, particularly systems which cater to remote and island areas. This paper develops a P-graph-based multi-period energy model, using hydrogen for energy storage to satisfy the fluctuating electrical and thermal energy demand of an island. Hydrogen can be generated from renewable energy sources during off-peak periods and can be used to serve as an energy carrier. An economic and carbon footprint analysis of the system is performed, which compares a pure renewable energy system, with hydrogen storage, and with battery storage. Within the same scenario, the results show that the renewable energy systems with hydrogen storage and battery storage are 21.5 % and 5.3 % cheaper than the renewable energy system without energy storage, with CO2eq emissions of 1,717 t/y and 1,680 t/y. These findings show that the inclusion of energy storage systems has great potential to reduce costs within renewable energy systems. Changes in the supply of biomass were investigated (which had the greatest impact in the study area), as well as changes in the cost of hydrogen storage. In addition to the optimal solution, near-optimal solutions were also suggested to provide well-rounded guidance for implementation.

Keywords in English

P -graph; Renewable energy systems; Multi -period; Energy storage systems; Hydrogen technology; SUSTAINABLE DEVELOPMENT; THEORETIC APPROACH; POWER-SYSTEM; ELECTRICITY; GENERATION

Released

01.04.2023

Publisher

PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

Location

PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

ISSN

0196-8904

Volume

281

Number

1

Pages count

14

BIBTEX


@article{BUT187358,
  author="Jiří {Klemeš} and Bohong {Wang},
  title="Optimisation of multi-period renewable energy systems with hydrogen and battery energy storage: A P-graph approach",
  year="2023",
  volume="281",
  number="1",
  month="April",
  publisher="PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND",
  address="PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND",
  issn="0196-8904"
}