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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

Text
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.

The Mega Conversion Program from kerosene to LPG in Indonesia: Lessons learned and recommendations for future clean cooking energy expansion

Text
English
Authors:
Katharine Thoday, Precious Benjamin, Meixi Gan, Elisa Puzzolo

Background
In 2007, the Indonesian Government instigated a national program to convert domestic kerosene users to liquefied petroleum gas (LPG) for cooking. This was primarily motivated by the rising cost of kerosene subsidies.

Objective
To review the national conversion program and LPG scale up by evaluating its impacts, including assessing sustained changes in cooking behaviour and consequent reductions in exposure to household air pollution (HAP).

Implementing the cost-optimal methodology in EU countries

Text
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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