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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Jump to: 2019 | 2018
Number of items: 4.

2019

Lyden, Andrew and Tuohy, Paul; (2019) Heat pump and thermal storage sizing with time-of-use electricity pricing. In: Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019). Atlantis Highlights in Engineering . Atlantis Press, DEU, pp. 29-40. ISBN 9789462528369

Lyden, Andrew and Tuohy, Paul (2019) A methodology for designing decentralised energy systems with predictive control for heat pumps and thermal storage. E3S Web of Conferences, 111. 06014. ISSN 2555-0403

2018

Lyden, Andrew and Pepper, Russell and Tuohy, Paul G. (2018) A modelling tool selection process for planning of community scale energy systems including storage and demand side management. Sustainable Cities and Society, 39. pp. 674-688. ISSN 2210-6707

Tuohy, P.G. and Kelly, N. and Allison, J. and Cowie, A. and Lyden, A. and Flett, G. (2018) Exploring value and performance parameters for thermal energy storage in low carbon buildings and districts. In: 14th International Conference on Energy Storage, 2018-04-25 - 2018-04-28, Çukurova University.

This list was generated on Fri Jul 3 02:50:16 2020 BST.