J
Jim Petrie
Researcher at University of Cape Town
Publications - 31
Citations - 859
Jim Petrie is an academic researcher from University of Cape Town. The author has contributed to research in topics: Sustainable development & Multiple-criteria decision analysis. The author has an hindex of 16, co-authored 31 publications receiving 806 citations. Previous affiliations of Jim Petrie include University of Sydney.
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Process synthesis and optimisation tools for environmental design: methodology and structure
TL;DR: In this paper, a multi-objective formulation of the process combines economic objectives with the LCA-based environmental objectives, based on the Hysys © model, is formulated first using a life cycle assessment toolbox.
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An integrated approach for the consideration of uncertainty in decision making supported by Life Cycle Assessment
TL;DR: An approach for the integrated consideration of both technical and valuation uncertainties during decision making supported by environmental performance information based on Life Cycle Assessment, which can be used wherever multiple criteria decision analysis is used to assist in the resolution of complex decision situations is presented.
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Strategies for reducing the carbon footprint of copper: New technologies, more recycling or demand management?
TL;DR: In this paper, a case study for the copper cycle in the USA shows that to meet a CO2 reduction target of 60% by 2050, innovative technologies for primary processing of mined ore will play a limited role, due to their increasing impacts in the future associated with mining ever lower ore grades.
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A complex systems approach to planning, optimization and decision making for energy networks
TL;DR: This approach takes account of techno-economic, environmental and social criteria, and engages explicitly with inherent network complexity in terms of the autonomous decision-making capability of individual agents within the network, who may choose not to act as economic rationalists.
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Ranking and selection of power expansion alternatives for multiple objectives under uncertainty
TL;DR: In this article, a methodology for the ranking of power expansion alternatives given multiple objectives and uncertainty, and demonstrates this using the South African electricity supply industry, is presented, where a portfolio of preferred alternatives is then identified based on performance and confidence criteria.