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CAMERON, LACHLAN (2) answer(s).
 
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ID:   115680


Decision support system for assessing offshore wind energy pote / Schillings, Christoph; Wanderer, Thomas; Cameron, Lachlan; Wal, Jan Tjalling van der   Journal Article
Schillings, Christoph Journal Article
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Publication 2012.
Summary/Abstract Offshore wind energy (OWE) in the North Sea has the potential to meet large share of Europe's future electricity demand. To deploy offshore wind parks in a rational way, the overall OWE potential has to be realistically determined. This has to be done on an international, cross-border level and by taking into account the existing man-made and nature-related uses of the North Sea. As spatial conflicts will arise between existing uses and the new OWE uses, a Decision Support System (DSS) based on a Geographic Information System (GIS) was developed. Based on data of existing sea uses and calculation rules for spatial prioritisation analysis, the DSS helps in identifying areas that are (1) generally suitable for offshore wind power, (2) strictly excluded or (3) negotiable with respect to other existing sea uses. The combination of this conflict analysis together with cost assumptions for offshore wind farms and their expected electricity yield leads to identification of favourable areas for OWE deployment in the North Sea. This approach helps to reduce the conflict between offshore wind deployment and existing sea uses in the North Sea for future planning. The results can assist decision makers in developing transnational roadmaps for OWE.
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2
ID:   124251


Potential for renewable energy jobs in the Middle East / Zwaan, Bob van der; Cameron, Lachlan; Kober, Tom   Journal Article
Zwaan, Bob van der Journal Article
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Publication 2013.
Summary/Abstract Based on employment factors derived from a recent review of publications investigating opportunities for work associated with the diffusion of renewable energy technology, we here present an analysis of the potential for renewable energy jobs in the Middle East. We use energy system optimisation results from the regionally disaggregated TIAM-ECN model as input to our study. This integrated assessment model is utilised to inspect the energy technology requirements for meeting a stringent global climate policy that achieves a stabilisation of greenhouse gas concentrations in the atmosphere with a maximum additional radiative forcing of 2.9 W/m2. This climate control target implies a massive deployment of renewable energy in the Middle East, with wind and solar power accounting for approximately 60% of total electricity supply in 2050: 900 TWh of an overall level of 1525 TWh would be generated from 210 GW of installed renewable energy capacity by the middle of the century. For this pervasive renewables diffusion scenario for the Middle East we estimate a total required local work force of ultimately about 155,000 direct and 115,000 indirect jobs, based on assumptions regarding which components of the respective wind and solar energy technologies can be manufactured in the region itself. All jobs generated through installation and O&M activities are assumed to be domestic.
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