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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
energy
Open source software and crowdsourcing for energy analysis
Energy Policy, Volume 49, Year 2012
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Description
Informed energy decision making requires effective software, high-quality input data, and a suitably trained user community. Developing these resources can be expensive and time consuming. Even when data and tools are intended for public re-use they often come with technical, legal, economic and social barriers that make them difficult to adopt, adapt and combine for use in new contexts. We focus on the promise of open, publically accessible software and data as well as crowdsourcing techniques to develop robust energy analysis tools that can deliver crucial, policy-relevant insight, particularly in developing countries, where planning resources are highly constrained-and the need to adapt these resources and methods to the local context is high. We survey existing research, which argues that these techniques can produce high-quality results, and also explore the potential role that linked, open data can play in both supporting the modelling process and in enhancing public engagement with energy issues. © 2012 Elsevier Ltd.
Authors & Co-Authors
Bazilian, Morgan D.
Austria, Vienna
United Nations Industrial Development Organization
Austria, Laxenburg
International Institute for Applied Systems Analysis, Laxenburg
Rice, Andrew
United Kingdom, Cambridge
University of Cambridge
Rotich, Juliana
Kenya, Nairobi
Ushahidi
Howells, Mark I.
Sweden, Stockholm
The Royal Institute of Technology Kth
DeCarolis, Joseph F.
United States, Raleigh
Nc State University
Macmillan, Stuart
United States, Golden
National Renewable Energy Laboratory
United States, Palo Alto
Stanford University
Brooks, Cameron
United States
Tendril Networks
Bauer, Florian
Austria, Vienna
Renewable Energy and Energy Efficiency Partnership
Liebreich, Michael
United Kingdom, London
Bloomberg new Energy Finance
Statistics
Citations: 61
Authors: 9
Affiliations: 11
Identifiers
Doi:
10.1016/j.enpol.2012.06.032
ISSN:
03014215
Research Areas
Health System And Policy
Study Design
Cross Sectional Study
Study Approach
Quantitative