Developing Smart Energy Communities around Fishery Ports: Toward Zero-Carbon Fishery Ports

Ateyah Alzahrani, Ioan Petri, Yacine Rezgui and Ali Ghoroghi
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Ateyah Alzahrani: BRE Trust Centre on Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AB, UK
Ioan Petri: BRE Trust Centre on Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AB, UK
Yacine Rezgui: BRE Trust Centre on Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AB, UK
Ali Ghoroghi: BRE Trust Centre on Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AB, UK

Energies, 2020, vol. 13, issue 11, 1-22

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.

Keywords: energy communities; smart grid; simulation; optimization; energy storage; industry (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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