Tim Cockerill's Funded Projects


Current



Effective Adsorbents for Establishing Solids Looping as a Next Generation NG PCC Technology
[Institution PI, £140K of £900K, EPSRC, 2012-2016]

The flue gas characteristics of natural fired gas power plants, mostly operating in a combined cycle of gas turbine and steam turbine (NGCC), differ significantly from those from coal-fired power plants.  A new generation of PCC technologies tailored to NGCC power plants need to developed and demonstrated in the next 10 - 20 years in order for their commercialisation with a new generation of gas plant. Solid adsorbents looping technology (SALT) is widely recognised as having the potential to be a viable next generation post combustion capture technology for CO2 capture compared to the state-of-art amine scrubbing, offering potentially significantly improved process efficiency at much reduced energy penalty, lower capital and operational costs and smaller plant footprint .The aim of this project is to overcome the performance barriers for implementing two types of candidate adsorbent systems (developed at Nottingham), and optimise plant configuration and adsorbant properties with respect to both environmental and economic parameters.


Policy and Institutional Frameworks for Investment in Carbon Capture and Storage Networks in the UK
[Lead supervisor, Industry Funded PhD, 2011-2014].

This PhD project, of which I am lead co-supervisor, is investigating the technical and institutional barriers to the development of large networks of CCS systems in the UK using a combination of engineering and regulatory analysis. The benefits of such networks are being evaluated using conceptual design approaches and relatively simple systems level simulations. In the longer term, the project will formulate regulatory and policy approaches aimed at overcoming the barriers and maximising the environmental benefits.



Completed



SUPERGEN HiDEF: Local energy workstream
[Institution PI, £100K, EPSRC Funded, 2009-2014]

SUPERGEN Highly Distributed Energy Future (Hi-DEF) is a consortium of UK Universities and industrial partners. Consortium members are developing the analytical evaluation tools, interface technologies and coordination strategies that are required to demonstrate support the integrative solutions of a future power system that delivers sustainability and security through the widespread deployment of distributed energy resources. Our component of the project is examining the extent to which local Government is able to play an effective role in delivering the locally managed energy policy frameworks that will be necessary to support future locally based energy technologies. Further information is at http://www.supergen-hidef.org


Market Potential for Novel Solar Hydrogen Technologies: An interdisciplinary approach towards commercial and technical potential of Solar Hydrogen generation
[Lead Supervisor, UKERC funded PhD Studentship, 2009-2012].

This PhD project is developing numerical simulations of renewable energy resources and systems to further investigate where energy storage technologies can add value to the electricity supply system. The value of the simulation tool will be demonstrated by application to a case study of distributed electricity storage using hydrogen.


Energyscapes and Ecosystem Services
[Institution PI, £40K of £250K, NERC Funded, 2010-2011]

This innovative consortium project sets out to investigate the ways in which decentralised renewable energy systems interact with each other, and thereby impact on local ecosystems. A series of simulations have been developed to explore how deployment of different combinations of renewable energy systems can maximise the production potential of an area while minimising the environmental impact.
Analysis tools for urban wind turbines, in collaboration with University of Reading Department of Meteorology [Lead Supervisor, EPSRC DTA Funded PhD]. This project has developed a numerical model of those aspects of the urban wind environment that are important for wind energy applications. The improved understanding is enabling the formulation of procedures for the optimal location and design of turbines in the urban environment.


Aligning Supply and Demand for Optimised Low Carbon Energy Solutions
,
in collaboration with University of Reading [Lead Supervisor, EPSRC DTA Funded PhD].

This project used spatial and temporal data on renewable resource availability and energy demand to investigate the economic value of electricity storage technologies to the grid.


Lifecycle and techno-economic analysis of Carbon Capture systems for the UK
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as part of the NERC funded UK Carbon Capture and Storage Consortium (UKCCSC), lead by Imperial College [Institution PI, £90K of £1M total value, 2005-2009].

The consortium as a whole attempted to take an integrated multi-disciplinary approach to understanding the obstacles to the deployment of Carbon Capture and Storage (CCS) within the UK. Within this context, a whole system numerical model of CCS plant techno-economics and lifecycle emissions was further developed to (a) include a wider range of technologies and (b) treat some of the processes in more detail.


An integrated study of carbon dioxide sequestration in the UK

NERC funded project in collaboration with Tyndall Centre, University of Manchester & British Geological Survey [Institution PI, £50K of £200K total value, 2001-2004].
The project as a whole tackled engineering, geological and social aspects of carbon dioxide sequestration (CCS) technologies. We developed a ‘whole system’ engineering-economic model of some CCS options. This was used to explore the relationships between overall system configuration, optimal design of sub-systems and the cost of energy for a number of CCS schemes of relevance to the UK.


Site Specific Design of Wind Turbines Using Numerical Cost Optimisation (SITEOPT)

EU JOULE funded project in collaboration with Risų National Laboratory Denmark, ECN (Netherlands Energy Research Centre), Bonus A/S, Largerway Windturbine [Institution PI, £100Kof £500K total value, 1998-2000].
The project set out to establish whether worthwhile cost savings could be produced by custom designing wind turbines to match the wind conditions at specific sited. A detailed model of an entire wind turbine was developed that designs and costs the turbine on the basis of certain load predictions. Numerical optimisation algorithms were used to identify optimum turbine designs for a range of possible wind farm locations.


Structural and Economic Optimisation of Offshore Wind Energy Converter Systems (Opti-OWECS)
,
EU JOULE funded project in collaboration with Delft University of Technology Institute for Wind Energy, Delft University of Technology Workgroup Offshore Technology, Kvaerner-Turbin AB. Kvaerner Earl & Wright. [Researcher, £100K of £1M total value, 1996-1998]
A comprehensive techno-economic model of offshore wind farm installations was developed together with a series of design optimisation routines. The model included rigorous numerical calculations of the loads experienced by offshore wind turbines. Economically optimal farm configurations and locations within northern Europe were identified.


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