F
Floor Alkemade
Researcher at Eindhoven University of Technology
Publications - 11
Citations - 201
Floor Alkemade is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Renewable energy & Energy security. The author has an hindex of 7, co-authored 11 publications receiving 82 citations.
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From fake solar to full service: An empirical analysis of the solar home systems market in Uganda
TL;DR: In this paper, the role of product quality in the transition to cleaner energy technologies in developing countries is analyzed, and it is shown that neither high-quality nor low-quality solar products offer a win-win situation if we are to achieve access to affordable, reliable, sustainable and modern energy for all.
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Do existing regional specialisations stimulate or hinder diversification into cleantech
TL;DR: In this paper, the authors used patent applications to investigate how the existing regional knowledge base, and in particular specialisation in fossil fuel technologies, affected both initial and subsequent regional diversification into cleantech knowledge production in European regions.
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Has the global expansion of energy markets truly improved energy security
TL;DR: In this paper, the authors present a systematic analysis of the factors shaping the global energy trade network, considering several energy security indicators as well as broader economic considerations, and observe that, in line with energy security considerations, most countries have indeed increased the number of their trade connections resulting in a more densely connected global energy network.
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The emergence of renewable energy technologies at country level : relatedness, international knowledge spillovers and domestic energy markets
TL;DR: In this paper, the authors look at how countries develop different types of renewable energy technologies, and how these technologies can be used for sustainable development in different regions of the world, including Africa and Asia.
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Agent-based modelling of charging behaviour of electric vehicle drivers
TL;DR: This model investigates the potential effects of different kinds of policy interventions on aggregate EV charging patterns and uses recent theory from environmental psychology to determine agent behaviour, contrary to earlier simulation models, which have focused only on technical and financial considerations.