Knowledge extraction in transmission and distribution substations

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Marine renewable energy development - research, design, install

The UK government has committed to a reduction of carbon dioxide emissions for England and Wales by 20% below 1990 levels by 2010 and to increase the amount of electrical energy generated by renewable energy sources to 10% by 2010 and 15% by 2015. Wave and tidal energy are likely to contribute significantly to achieving these targets as important renewable energy technologies for the UK. The south-west region in particular has the potential to generate substantial amounts of renewable energy from its wave and tidal stream resources. The South West of England Regional Development Agency (SWRDA) recognises the potential of the marine energy industry for the region and is supporting demonstration projects in marine energy through the Wave Hub project and the Peninsular Research Institute in Marine Renewable Energy (Primare). The Wave Hub project provides a unique opportunity for interdisciplinary research to aid developments in marine renewable energy. In this paper, a description of some of the new ongoing research being undertaken jointly by researchers at the Universities of Exeter and Plymouth within Primare is presented

Valuing publicly sponsored research projects: Risks, scenario adjustments, and inattention

Survey-based choice scenarios used to value non-market public goods typically preclude any risk that the benefits described may not be delivered. Our survey specifies explicit risks of (a) outright program failure and (b) program redundancy due to possible private sector substitutes. Additionally, most analyses assume that survey subjects fully accept these scenarios and that all provided information receives their complete attention. Our discounted expected utility model of choice accommodates both these objective risks and the possibility of subjective scenario adjustment or selective inattention by respondents. We then counterfactually simulate willingness-to-pay in the absence of these distortions. Copyright Springer Science+Business Media, LLC 2007Failure risk, Redundancy risk, Scenario adjustment, Inattention, Stated preferences, Willingness to pay, R&D benefits, H4, Q26, D6, C25, Q25, Q48,