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

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 r...

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Main Authors: Ateyah Alzahrani, Ioan Petri, Yacine Rezgui, Ali Ghoroghi
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/11/2779
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spelling doaj-6bac35c815d241b1950d2a26dbd343272020-11-25T03:07:58ZengMDPI AGEnergies1996-10732020-06-01132779277910.3390/en13112779Developing Smart Energy Communities around Fishery Ports: Toward Zero-Carbon Fishery PortsAteyah Alzahrani0Ioan Petri1Yacine Rezgui2Ali Ghoroghi3BRE Trust Centre on Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AB, UKBRE Trust Centre on Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AB, UKBRE Trust Centre on Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AB, UKBRE Trust Centre on Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF24 3AB, UKAir 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.https://www.mdpi.com/1996-1073/13/11/2779energy communitiessmart gridsimulationoptimizationenergy storageindustry
collection DOAJ
language English
format Article
sources DOAJ
author Ateyah Alzahrani
Ioan Petri
Yacine Rezgui
Ali Ghoroghi
spellingShingle Ateyah Alzahrani
Ioan Petri
Yacine Rezgui
Ali Ghoroghi
Developing Smart Energy Communities around Fishery Ports: Toward Zero-Carbon Fishery Ports
Energies
energy communities
smart grid
simulation
optimization
energy storage
industry
author_facet Ateyah Alzahrani
Ioan Petri
Yacine Rezgui
Ali Ghoroghi
author_sort Ateyah Alzahrani
title Developing Smart Energy Communities around Fishery Ports: Toward Zero-Carbon Fishery Ports
title_short Developing Smart Energy Communities around Fishery Ports: Toward Zero-Carbon Fishery Ports
title_full Developing Smart Energy Communities around Fishery Ports: Toward Zero-Carbon Fishery Ports
title_fullStr Developing Smart Energy Communities around Fishery Ports: Toward Zero-Carbon Fishery Ports
title_full_unstemmed Developing Smart Energy Communities around Fishery Ports: Toward Zero-Carbon Fishery Ports
title_sort developing smart energy communities around fishery ports: toward zero-carbon fishery ports
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-06-01
description 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.
topic energy communities
smart grid
simulation
optimization
energy storage
industry
url https://www.mdpi.com/1996-1073/13/11/2779
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