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Reports

3 result(s) found

Diffusion of energy efficiency technologies in European residential buildings: A bibliometric analysis

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English
Authors:
Clara Camarasa,
Claudio Nägeli,
York Ostermeyer,
Michael Klippel,
Sebastian Botzler

Many studies have investigated different aspects in the decarbonisation of the European housing stock. However, a comprehensive quantitative analysis of the literature on the diffusion of energy efficiency technologies is still missing. We conducted a bibliometric analysis to better understand the knowledge base in the field energy efficiency technology diffusion in the European residential building stock. After the scanning and screening process, we identified 954 scientific articles pertinent to this topic.

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.

Drivers for green building: A review of empirical studies

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English
Authors:
Amos Darko,
Chenzhuo Zhang,
Albert P.C. Chan

This paper presents a comprehensive literature review of what drives the adoption of green building (GB) practices among construction stakeholders. The review is based on literature that have been published in peer-reviewed journals. Through a systematic review of the literature, authors are able to identify generic drivers for stakeholders to pursue GB. A total of 64 drivers were identified from reviewing 42 selected empirical studies. The paper presents a classification framework for the GB drivers.

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