A Strategy for Sustainable Mobility: Localisation of Production & Globalisation of Knowledge
In: The International Journal of Environmental, Cultural, Economic, and Social Sustainability: Annual Review, Band 2, Heft 2, S. 73-84
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In: The International Journal of Environmental, Cultural, Economic, and Social Sustainability: Annual Review, Band 2, Heft 2, S. 73-84
In: Environmental innovation and societal transitions, Band 38, S. 82-97
ISSN: 2210-4224
In: Environmental innovation and societal transitions, Band 21, S. 95-112
ISSN: 2210-4224
In: Climate policy, Band 7, Heft 4, S. 353-370
ISSN: 1752-7457
In: Annual Review of Environment and Resources, Band 32
SSRN
A systemic perspective on energy innovation is required to design effective portfolios of directed innovation activity. We contribute a standardised set of technology-specific indicators which describe processes throughout the energy technology innovation system, ranging from patents and publications to policy mixes, collaborative activity, and market share. Using these indicators, we then conceptualise and develop benchmark tests for three portfolio design criteria: balance, consistency, and alignment. Portfolio balance refers to the relative emphasis on specific technologies. Portfolio consistency refers to the relative emphasis on related innovation system processes. Portfolio alignment refers to the relative emphasis on innovation system processes for delivering targeted outcomes. We demonstrate the application of these benchmark tests using data for the EU's Strategic Energy Technology (SET) Plan which spans six technology fields. We find the SET Plan portfolio generally performs well particularly in areas over which portfolio managers have direct influence such as RD&D funding. However we also identify potential areas of imbalance, inconsistency, and misalignment which warrant further attention and potential redress by portfolio managers. Overall, we show how energy innovation portfolios can be analysed from a systemic perspective using a replicable, standardised set of measures of diverse innovation system processes.
BASE
We develop a novel approach for quantitatively analysing future storylines of change by combining econometric analysis and Monte Carlo simulation for four different storylines of change in the EU's energy innovation system. We explore impacts on three key innovation outcomes: patenting (innovation), co-invention (collaboration), and technology cost reduction (diffusion). We find that diverse mixes of policy instruments stimulate collaborative innovation activity. We find that both RD&D expenditure and trade imports support knowledge generation and exchange, and that these relationships are largely robust to future uncertainty. Conversely, we find that policy durability and stability are only weakly linked to innovation outcomes, suggesting that adaptive policy responding to rapidly changing innovation environments should play an important part of the EU's energy future.
BASE
In: Regional studies: official journal of the Regional Studies Association, Band 57, Heft 10, S. 2037-2053
ISSN: 1360-0591
In: TFS-D-21-03733
SSRN
In: TRD-D-22-01532
SSRN
In: Global Energy, S. 125-147
In: Environment and planning. C, Government and policy, Band 28, Heft 5, S. 943-949
ISSN: 1472-3425
In: Global Energy, S. 162-188
This is a conference paper. ; The UK Government's flagship energy efficiency program, the Green Deal, provides retrofit advice for household occupants based on a technical house survey and an engineering modelling tool. Smart meter data provides an opportunity to give bespoke advice to occupants based on the actual performance of their home and their own heating practices as well as visualisations of hourly and daily energy use. This work presents initial results from one component of a complex multidisciplinary research project which aims to use smart meter and smart home data to design and develop retrofit decision support concepts. Home visits involving creative design based research activities were carried out in five homes. Household occupants were presented with two types of energy use report; 1) a Green Deal advice report which includes suggested retrofit measures and annual energy consumption figures based on a steady state modelling approach and; 2) a personalised energy use report, based on smart meter data collected in their homes over a 12 month period. The home visits were carried out with the occupants to discuss a range of possible retrofit measures and gather feedback regarding the communication method for advice about energy efficiency improvements. Initial findings from the home visits indicate that the provision of energy feedback using smart meter data did not directly influence the occupants to make energy efficient retrofits any more than the Green Deal advice reports. However, the visualisation of actual hourly and daily energy use enabled householders to make links with their lived experience and stimulated discussions about their energy use which may impact on their preconceived ideas about energy use and energy efficiency measures.
BASE
In: Technological forecasting and social change: an international journal, Band 90, S. 45-61
ISSN: 0040-1625