4,033 research outputs found

    University-industry-relations - their role in technological innovation:the case of biotechnology in the UK

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    Biotechnology is one of a series of new `generic technologies' that have been identified by western governments as possessing stategic economic opportunities. In this thesis I examine the characteristics of the technology and the government policies that have been developed to both promote and exploit the underpinning scientific research for biotechnology. The approach I have taken involves an in-depth analysis of the role of university-industry research relations in the development of biotechnology. To this end I carried out a detailed survey of biotechnology companies in the UK on the nature of their interactions and objectives. Through individual case studies of the SERC and DTI club mechanisms in biotechnology, I provide a contemporary appraisal of the development of new mechanisms involving co-ordination and cooperation between industry, government and academia, established to couple state funded science and national economic development. The public policy implications of the club funding systems for science in the UK are examined

    Perspectives on subnational carbon and climate footprints: A case study of Southampton, UK

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    Sub-national governments are increasingly interested in local-level climate change management. Carbon- (CO2 and CH4) and climate-footprints—(Kyoto Basket GHGs) (effectively single impact category LCA metrics, for global warming potential) provide an opportunity to develop models to facilitate effective mitigation. Three approaches are available for the footprinting of sub-national communities. Territorial-based approaches, which focus on production emissions within the geo-political boundaries, are useful for highlighting local emission sources but do not reflect the transboundary nature of sub-national community infrastructures. Transboundary approaches, which extend territorial footprints through the inclusion of key cross boundary flows of materials and energy, are more representative of community structures and processes but there are concerns regarding comparability between studies. The third option, consumption-based, considers global GHG emissions that result from final consumption (households, governments, and investment). Using a case study of Southampton, UK, this chapter develops the data and methods required for a sub-national territorial, transboundary, and consumption-based carbon and climate footprints. The results and implication of each footprinting perspective are discussed in the context of emerging international standards. The study clearly shows that the carbon footprint (CO2 and CH4 only) offers a low-cost, low-data, universal metric of anthropogenic GHG emission and subsequent management

    Are WEEE in Control? Rethinking Strategies for Managing Waste Electrical and Electronic Equipment

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    Electrical and electronic equipment (EEE) that has come to its end-of-life (EoL) either by ceasing to function or ceasing to be of any value to its owners is commonly referred to as e-waste. In the European Union (EU), these wastes are referred to as waste electrical and electronic equipment (WEEE). This chapter discusses two key themes critical to understanding and tackling the challenge posed by WEEE, namely: (i) four key issues that make WEEE a priority waste stream; and (ii) WEEE management practices in various countries and regions. Drawing on a comprehensive literature review and four case studies, this chapter critically analyses and discusses the factors that influence the generation, collection and disposal of WEEE, specifically addressing the spatial and temporal interactions of these factors before an alternative approach to conceptualising and managing WEEE is propose

    Combined material flow analysis and life cycle assessment as a support tool for solid waste management decision making

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    AbstractMaterial flow analysis (MFA) and life cycle assessment (LCA) have both widely been applied to support solid waste management (SWM) decision making. However, they are often applied independently rather than conjointly. This paper presents an approach that combines the MFA and LCA methodologies to evaluate large and complex SWM systems from an environmental perspective. The approach was applied to evaluate the environmental performance, focusing on greenhouse gas (GHG) emissions, of a local authority SWM system and to compare it with alternative systems to assess the potential effectiveness of different waste policy measures. The MFA results suggest that national recycling targets are unlikely to be met even if the assessed policies are implemented optimally. It is likely that for the targets to be met, investigated policies would need to be combined with additional policies that target reductions in waste arisings. The LCA results found landfilling of residual waste to be the dominant source of GHG burdens for the existing system, whilst material reprocessing was found to result in GHG benefits. Overall, each of the alternative systems investigated were found to result in lower GHG impacts compared to the existing system, with the diversion of food waste from the residual waste stream found to be potentially the most effective strategy to reduce GHG emissions. The results of this study demonstrate that the complementary methodologies of MFA and LCA can be used in combination to provide policy and decision makers with valuable information about the environmental performance of SWM systems

    Evaluation of key geometrical and mechanical properties for remote laser welded AC-170PX aluminium joints

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    Use of lightweight materials to produce automotive body structures is one of the key trends adopted by automotive manufacturers to minimise emission of greenhouse gases, and subsequently, reduction of fuel consumption. Aluminium alloys are one of the promising lightweight materials which are increasingly used for automotive body-in-white structures. Such applications demand both efficient and effective joining/welding methods to produce repeatable, durable and strong joints without significant alteration of material properties. Remote laser welding (RLW) is an emerging joining technology and increasingly being used to produce lightweight joints as it satisfies the demand for high production throughput at low cost. This paper investigates the effects of process parameters when seam tracking remote laser welding is used to create an autogenous fillet edge weld of automotive grade aluminum alloy (AC-170PX) in lap configuration without shielding gas. The effects of laser power and welding speed on the key geometric features are reported together with details of the weld microstructure. Joint strength is evaluated by performing a lap shear test. It is found that the laser power and welding speed have dominant influence on key geometric features and subsequently on the lap shear strength. Relatively larger grain size in the fusion zone reduces the microhardness by up to 20% in comparison with the base material

    Validating the 'seven functions' model of technological innovations systems theory with industry stakeholders: a review from UK offshore renewables.

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    Technological Innovation Systems theory, and its 'functions' framework, have demonstrated their value as tools for exploring socio-technological transitions. Although the 'seven functions' model has demonstrated its academic value across a vast literature, there have been few attempts to explore the model through the lens of industry stakeholder opinion. We believe that involving a relevant stakeholder group offers the potential for validating this approach, and even potentially enriching it. This research aims to address that shortfall. In 32 interviews with senior participants in the UK offshore wind, tidal stream and wave sectors and associated supply chain, policy makers, support organisations and other stakeholders, the validity of the seven well-established 'Hekkert' functions was tested. The research found that the interviewees confirmed that all seven functions were necessary in characterising the emergence of the focal technologies, and analysis of the interviews allowed the definition and scope of each function to be enriched. The research also found that an additional function—defined as 'Demonstrating Value'—was helpful in providing a more complete description of technology emergence. This function is defined and appropriate metrics for it are discussed. The authors suggest that this proposed enrichment of the 'functions' model may provide a greater understanding of socio-technological transitions in the face of volatile external contextual factors, whose importance the current COVID pandemic has made all too obvious

    Better estimates of LCOE from audited accounts: a new methodology with examples from United Kingdom offshore wind and CCGT.

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    Around the world, government policies to support new renewable energy technologies rely on accurate estimates of Levelised Cost of Energy (LCOE). This paper reveals that such estimates are based on 'public domain' data which may be unreliable. A new approach and methodology has been developed which uses United Kingdom (UK) 'audited' data, published in company accounts, that has been obtained from Companies House, to determine more accurate LCOE estimates. The methodology is applicable to projects configured within Special Purpose Vehicle (SPV) companies. The methodology is then applied to a number of UK offshore wind farms and one Combined Cycle Gas Turbine (CCGT) project to develop new cost data which is then compared to that presently in the public domain. The analysis reveals that recent offshore wind projects show a slightly declining LCOE and that public domain cost estimates are unreliable. But of most concern is that offshore wind farm costs are still much higher than those implied by recent bids for UK government financial support via Contracts for Difference (CfDs). The paper concludes by addressing further the question of how offshore wind projects can achieve the degree of LCOE reductions required by recent CfD bids

    Analysis of United Kingdom offshore wind farm performance using public data: improving the evidence base for policymaking.

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    Policymakers and regulators increasingly need to balance the requirements of energy demand, security and costs, and to do so they need accurate estimates of performance. This study uses public data to assess UK offshore wind farm performance to improve policy decisions. We find that average capacity factors have improved from 34.9% in Round 1 (2001) to 41.0% in Round 2 (2002) projects. Drivers and correlations of performance for United Kingdom offshore wind farms are analysed. The research also addresses problems with existing capacity factor estimates and generates new estimates of inter-year variability of capacity factors, providing a more accurate evidence base for policy and regulatory decisions

    Addressing recent misreporting of findings from 'Better estimates of LCOE from audited accounts: a new methodology with examples from United Kingdom offshore wind and CCGT'.

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    Recent interest in the Levelised Cost of Energy (LCOE) for offshore wind has led to considerable media coverage of this topic. The paper to which this article refers provides some useful insights, but the authors are concerned that their findings are being misreported and misinterpreted. Specifically, some of the media coverage appears to misunderstand or disregard the acknowledged limitations of the paper, citing it to support contentions regarding the likely trajectory of costs for offshore wind farms. This research note addresses some of these issues and urges caution in use of the original paper’s findings. This new research note recapitulates the main themes of the original paper and directly addresses the areas where its findings have apparently been misunderstood. It concludes with a restated and reinforced warning that the analysis and projection of historic costs in offshore wind, or indeed in any fast-developing technology sector, should be undertaken with extreme caution when used to consider future cost trends
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