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Reports

6 result(s) found

印度建筑的减排潜力

Report
English
Authors:
全球建筑最佳实践联盟 (The GBPN)

可靠证据表明,至2050年印度建筑领域会产生巨幅能源增长,基于此估测,本报告分析了印度目前建筑节能减排的政策框架及其节能潜力。

印度建筑的减排潜力

Report
English
Authors:
全球建筑最佳实践联盟 (The GBPN)

可靠证据表明,至2050年印度建筑领域会产生巨幅能源增长,基于此估测,本报告分析了印度目前建筑节能减排的政策框架及其节能潜力。

印度建筑的减排潜力

Report
English
Authors:
全球建筑最佳实践联盟 (The GBPN)

可靠证据表明,至2050年印度建筑领域会产生巨幅能源增长,基于此估测,本报告分析了印度目前建筑节能减排的政策框架及其节能潜力。

Mitigation Potential from India’s Buildings

Report
English
Authors:
GBPN

Technical Report

Demonstrating the enormity of the predicted energy growth in India's building sector up to 2050, this report explores the current political framework for energy efficient buildings and the potential for change. 

 

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.

Drivers for green building: A review of empirical studies

Text
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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