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Reports

3 result(s) found

Scoping review to understand the potential for public health impacts of transitioning to lower carbon emission technologies and policies

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English
Authors:
Rachel Tham, Geoff Morgan, Shyamali Dharmage, Guy Marks, Christine Cowie

Background: The transformation of the global energy sector from fossil-based fuels to low/non-carbon fuels will reduce environmental pollutant load, which in turn will benefit human health. However, with upscaling of emerging renewable technologies and energy sources, it is important to identify the potential for unintended health impacts, and to understand where the knowledge gaps lie with respect to health. We aimed to identify these gaps by conducting a scoping review. Methods: We conducted a systematic search of Medline, Web of Science, PubMed and EMBASE.

Measuring the Co-Benefits of Climate Change Mitigation

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English
Authors:
Diana Ürge-Vorsatz, Sergio Tirado Herrero, Navroz K. Dubash, and Franck Lecocq

Co-benefits rarely enter quantitative decision-support frameworks, often because the methodologies for their integration are lacking or not known. This review fills in this gap by providing comprehensive methodological guidance on the quantification of co-impacts and their integration into climate-related decision making based on the literature. The article first clarifies the confusion in the literature about related terms and makes a proposal for a more consistent terminological framework, then emphasizes the importance of working in a multiple-objective–multiple-impact framework.

Implementing the cost-optimal methodology in EU countries

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English
Authors:
Bogdan Atanasiu,
Ilektra Kouloumpi,
Kirsten Engelund Thomsen,
Søren Aggerholm,
Andreas Enseling,
Tobias Loga,
Klemens Leutgöb,
Johannes Rammerstorfer,
Konrad Witczak

This study presents three cost-optimal calculations. The overall aim is to provide a deeper analysis and to provide additional guidance on how to properly implement the cost-optimality methodology in Member States. Without proper guidance and lessons from exemplary case studies using realistic input data (reflecting the likely future development), there is a risk that the cost-optimal methodology may be implemented at suboptimal levels.

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