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Cork Open Research Archive (CORA) is UCC’s Open Access institutional repository which enables UCC researchers to make their research outputs freely available and accessible.

 

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Atlantic Regional Initiative: Innovation Clusters Roadmap, Version 2.1. Blue economy: Innovation clusters, Atlantic natural resources management and maritime spatial planning
(University College Cork, 2024-07-19) Scarrott, Rory G.; Giannoumis, J.; Brandao, F.; Fleming, F.; Karayel, A. Nur; Reid, Catriona I.; Gannon, C.; European Space Agency
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An advanced retail electricity market for active distribution systems and home microgrid interoperability based on game theory
(Elsevier B.V., 2018-01-04) Marzband, Mousa; Javadi, Masoumeh; Pourmousavi, S. Ali; Lightbody, Gordon; Horizon 2020; Science Foundation Ireland; National Science Foundation
The concept of active distribution network has emerged by the application of new generation and storage technologies, demand flexibility, and communication infrastructure. The main goal is to create infrastructure and algorithms to facilitate an increased penetration of distributed energy resources, application of demand response and storage technologies, and encourage local generation and consumption within the distribution network. However, managing thousands of prosumers with different requirements and objectives is a challenging task. To do so, market mechanisms are found to be necessary to fully exploit the potential of customers, known as Prosumers in this new era. This paper offers an advanced retail electricity market based on game theory for the optimal operation of home microgrids (H-MGs) and their interoperability within active distribution networks. The proposed market accommodates any number of retailers and prosumers incorporating different generation sources, storage devices, retailers, and demand response resources. It is formulated considering three different types of players, namely generator, consumer, and retailer. The optimal solution is achieved using the Nikaido-Isoda Relaxation Algorithm (NIRA) in a non-cooperative gaming structure. The uncertainty of the generation and demand are also taken into account using appropriate statistical models. A comprehensive simulation study is carried out to reveal the effectiveness of the proposed method in lowering the market clearing price (MCP) for about 4%, increasing H-MG responsive load consumption by a factor of two, and promoting local generation by a factor of three. The numerical results also show the capability of the proposed algorithm to encourage market participation and improve profit for all participants.
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Marine protected areas show low overlap with projected distributions of seabird populations in Britain and Ireland
(Elsevier Ltd., 2018-06-20) Critchley, Emma Jane; Grecian, W. James; Kane, Adam; Jessopp, Mark J.; Quinn, John L.; Science Foundation Ireland; Irish Research Council; Irish Petroleum Infrastructure Programme; INSITE
Marine Protected Areas (MPAs) are an important tool for the conservation of seabirds. However, mapping seabird distributions using at-sea surveys or tracking data to inform the designation of MPAs is costly and time-consuming, particularly for far-ranging pelagic species. Here we explore the potential for using predictive distribution models to examine the effectiveness of current MPAs for the conservation of seabirds, using Britain and Ireland as a case study. A distance-weighted foraging radius approach was used to project distributions at sea for an entire seabird community during the breeding season, identifying hotspots of highest density and species richness. The percentage overlap between distributions at sea and MPAs was calculated at the level of individual species, family group, foraging range group (coastal or pelagic foragers), and conservation status. On average, 32.5% of coastal populations and 13.2% of pelagic populations overlapped with MPAs indicating that pelagic species, many of which are threatened, are likely to have significantly less coverage from protected areas. We suggest that a foraging radius approach provides a pragmatic and rapid method of assessing overlap with MPA networks for central place foragers. It can also act as an initial tool to identify important areas for potential designation. This would be particularly useful for regions throughout the world with limited data on seabird distributions at sea and limited resources to collect this data. Future assessment for marine conservation management should account for the disparity between coastal and pelagic foraging species to ensure that wider-ranging seabirds are afforded adequate levels of protection.
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Personality shapes pair bonding in a wild bird social system
(Springer Nature, 2018-10-01) Firth, Josh A.; Cole, Ella F.; Ioannou, Christos C.; Quinn, John L.; Aplin, Lucy M.; Culina, Antica; McMahon, Keith; Sheldon, Ben C.; Horizon 2020; Merton College, University of Oxford; Seventh Framework Programme; EGI
Mated pair bonds are integral to many animal societies, yet how individual variation in behaviour influences their formation remains largely unknown. In a population of wild great tits (Parus major), we show that personality shapes pair bonding: proactive males formed stronger pre-breeding pair bonds by meeting their future partners sooner and increasing their relationship strength at a faster rate. As a result, proactive males sampled fewer potential mates. Thus, personality may have important implications for social relationship dynamics and emergent social structure.
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Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations
(Elsevier Ltd., 2018-03-21) Marzband, Mousa; Azarinejadian, Fatemeh; Savaghebi, Mehdi; Pouresmaeil, Edris; Guerrero, Josep M.; Lightbody, Gordon; Horizon 2020; Science Foundation Ireland; Energiteknologisk udviklings- og demonstrationsprogram; Ministry of Science and Technology of the People's Republic of China
This paper presents a smart Transactive energy (TE) framework in which home microgrids (H-MGs) can collaborate with each other in a multiple H-MG system by forming coalitions for gaining competitiveness in the market. Profit allocation due to coalition between H-MGs is an important issue for ensuring the optimal use of installed resources in the whole multiple H-MG system. In addition, considering demand fluctuations, energy production based on renewable resources in the multiple H-MG can be accomplished by demand-side management strategies that try to establish mechanisms to allow for a flatter demand curve. In this regard, demand shifting potential can be tapped through shifting certain amounts of energy demand from some time periods to others with lower expected demand, typically to match price values and to ensure that existing generation will be economically sufficient. It is also possible to obtain the maximum profit with the coalition formation. In essence the impact of the consumption shifting in the multiple H-MG schedule can be considered while conducting both individual and coalition operations. A comprehensive simulation study is carried out to reveal the effectiveness of the proposed method in lowering the market clearing price (MCP) for about 15% of the time intervals, increasing H-MG responsive load consumption by a factor of 30%, and promoting local generation by a factor of three. The numerical results also show the capability of the proposed algorithm to encourage market participation and improve profit for all participants.