Developing smart energy communities around fishery ports: toward zero-carbon fishery ports

Alzahrani, Ateyah, Petri, Ioan ORCID: https://orcid.org/0000-0002-1625-8247, Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 and Ghoroghi, Ali 2020. Developing smart energy communities around fishery ports: toward zero-carbon fishery ports. Energies 13 (11) , 2779. 10.3390/en13112779

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Abstract

Air quality and energy consumption are among the top ten environmental priorities in seaports as stated by the European Sea Ports Organization. Globally, it is estimated that 15% of energy consumption can be attributed to refrigeration and air conditioning systems in fishing activities. There is a real need to understand energy usage in fishery ports to help identify areas of improvements, with a view to optimize energy usage and minimize carbon emissions. In this study, we elaborate on ways in which a simulation capability can be developed at the community level with a fishery port, using a real-world case study seaport in Milford Heaven (Wales, UK). This simulation-based strategy is used to investigate the potential of renewable energy, including local solar farms, to meet the local power demand. This has informed the development of a simulation-based optimization strategy meant to explore how smart energy communities can be formed at the port level by integrating the smart grid with the local community energy storage. The main contribution of the paper involves a co-simulation environment that leverages calibrated energy simulation models to deliver an optimization capability that (a) manages electrical storage within a district an environment, and (b) promotes the formation of energy communities in a fishery port ecosystem. This is paving the way to policy implications, not only in terms of carbon and energy reduction, but also in the formation and sustained management of energy communities.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Additional Information:	This article belongs to the Special Issue Smart Forecasting of Building and District Energy Management
Publisher:	MDPI
ISSN:	1996-1073
Funders:	EU H2020 INTERREG piSCES
Date of First Compliant Deposit:	1 June 2020
Date of Acceptance:	25 May 2020
Last Modified:	07 May 2023 16:53
URI:	https://orca.cardiff.ac.uk/id/eprint/132100

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