Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2018 | 2017
Number of items: 10.

2019

Ioannou, Anastasia and Brennan, Feargal; (2019) A preliminary techno-economic comparison between a grid-connected and non-grid connected offshore floating wind farm. In: 2019 Offshore Energy and Storage Summit, OSES 2019. IEEE, FRA. ISBN 9781728123172

Ioannou, Anastasia and Fuzuli, Gulistiani and Brennan, Feargal and Yudha, Satya Widya and Angus, Andrew (2019) Multi-stage stochastic optimization framework for power generation system planning integrating hybrid uncertainty modelling. Energy Economics, 80. pp. 760-776. ISSN 0140-9883

Ioannou, Anastasia and Angus, Andrew and Brennan, Feargal (2019) Informing parametric risk control policies for operational uncertainties of offshore wind energy assets. Ocean Engineering, 177. pp. 1-11. ISSN 0029-8018

2018

Ioannou, Anastasia and Angus, Andrew and Brennan, Feargal (2018) A lifecycle techno-economic model of offshore wind energy for different entry and exit instances. Applied Energy, 221. pp. 406-424. ISSN 0306-2619

Ioannou, Anastasia and Angus, Andrew and Brennan, Feargal (2018) Parametric CAPEX, OPEX, and LCOE expressions for offshore wind farms based on global deployment parameters. Energy Sources, Part B: Economics, Planning and Policy, 13 (5). pp. 281-290. ISSN 1556-7257

2017

Vaienti, Claudio and Ioannou, Anastasia and Brennan, Feargal; (2017) Cash flow at risk of offshore wind plants. In: 2017 6th International Conference on Clean Electrical Power. IEEE, ITA, pp. 84-93. ISBN 9781509046829

Ioannou, A. and Vaienti, C. and Angus, A. and Brennan, F.; (2017) A cluster analysis of investment strategies in the offshore wind energy market. In: 2017 6th International Conference on Clean Electrical Power. IEEE, ITA, pp. 362-369. ISBN 9781509046829

Ioannou, Anastasia and Angus, Andrew and Brennan, Feargal (2017) Risk-based methods for sustainable energy system planning : a review. Renewable and Sustainable Energy Reviews, 74. pp. 602-615. ISSN 1364-0321

Ioannou, Anastasia and Wang, Lin and Brennan, Feargal (2017) Design implications towards inspection reduction of large scale structures. Procedia CIRP, 60. pp. 434-439. ISSN 2212-8271

Ioannou, Anastasia and Angus, Andrew and Brennan, Feargal (2017) Stochastic prediction of offshore wind farm LCOE through an integrated cost model. Energy Procedia, 107. pp. 383-389. ISSN 1876-6102

This list was generated on Sat Jul 4 14:29:05 2020 BST.