Projects
Projects: Projects for Investigator |
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| Reference Number | EP/K007254/1 | |
| Title | Multi-sectoral interactions in global energy end-use | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy system analysis) 75%; Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 25%; |
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| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | SOCIAL SCIENCES (Economics and Econometrics) 100% | |
| UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D (Energy modelling) 100% | |
| Principal Investigator |
Dr J Mercure No email address given Land Economy University of Cambridge |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 January 2013 | |
| End Date | 31 December 2015 | |
| Duration | 36 months | |
| Total Grant Value | £231,481 | |
| Industrial Sectors | Energy | |
| Region | East of England | |
| Programme | Energy : Energy | |
| Investigators | Principal Investigator | Dr J Mercure , Land Economy, University of Cambridge (100.000%) |
| Industrial Collaborator | Project Contact , University of East Anglia (0.000%) Project Contact , Cambridge Econometrics (0.000%) Project Contact , Committee on Climate Change (0.000%) |
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| Web Site | ||
| Objectives | ||
| Abstract | This fellowship proposal is for the calculation of future scenarios of technological change and CO2 emissions in energy end-use, through the development of an interacting multi-sectoral family of theoretical and computational models of technology diffusion in energy end-use systems. The integration of this family of models into the Energy-Economy-Environment (E3) Model at the Global level (E3MG) will create the first global E3 model to consider simultaneously technology diffusion patterns, induced technological change in all sectors of energy use (transport, industry, end-use), natural resource constraints and the interaction between sectors.The reduction of CO2 emissions requires changes of energy consuming technologies, such as vehicles for transport, lighting, heating and cooling systems, as well as industrial systems such as steel furnaces and aluminium smelters. Historically changes of technology occur gradually, following advances in engineering and production supply chains, but also through evolutions of habits and behaviours. Such historical diffusion patterns have been studied extensively using S-shaped curves (1), and it has been recognised that their inclusion in energy modelling is required in order to improve scenarios of future energy use, but they are challenging to implement and remain absent in current models (2). Technology substitutions include for instance the replacement of petrol cars by electric vehicles or gas boilers by heat pumps, but also the replacement of one set of habits by another, such as switching from personal car use to public transport.Individual emissions reduction measures have, when put in a multi-sectoral context, mutual synergies or they can be detrimental to one another, in terms of efficiency of energy use. The coordination of such measures is a complex problem that requires careful planning, and should ideally be based on analysing simultaneously the whole system of E3 interactions. For example, the calculation of global greenhouse gas emissions resulting from policies and economic scenarios involves a simultaneous study of emissions from all energy consumption and transformation sectors: power generation, industry, transport and end-use, driven by the demand for services or goods in these sectors.The research proposed for this fellowship concerns firstly the development and integration of a complete family of new sub-models of technological change in energy end-use sectors into the existing Energy-Economy-Environment Model at the Global level (E3MG). E3MG is a large-scale macroeconometric model of the global economy, featuring 20 world regions and 42 industrial sectors. This work will use a new theoretical framework that was recently developed by myself for forecasting technological diffusion and learning-by-doing in competitive markets, which was successfully applied to construct a new sub-model for E3MG of the global power sector. The core of this project will involve using the combination of all models to generate UK and global future scenarios of technology and CO2 emissions, using external assumptions such as regulations, world population and land use. This will additionally enable fellow group members to explore macroeconomic impacts such as "green growth".The work proposed will benefit from two-way interactions with a group of stakeholders at all stages of the project development. This will involve three main groups: applied economists at Cambridge Econometrics, environmental scientists of the Tyndall Centre at the University of East-Anglia and policy advisors and researchers at the UK Department for Energy and Climate Change and the UK Energy Research Centre. These groups will contribute by providing insight in bridging technology to the economy, contribute guidance on climate policy in the context of the UK's decarbonisation strategy and enable to explore environmental and human impacts associated with future CO2 emission | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 10/01/13 | |
