印度建筑的减排潜力
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。
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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。
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。
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。
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.
First adopted in 2007, and most recently renewed in 2015, New Mexico’s Sustainable Building Tax Credit supports the greening of many building types across the state. Released in October, 2017, this case study captures the impacts of this landmark policy and highlights the context and people that helped to create and sustain this nation-leading green building policy.
This is an example of LEED being used in an innovative tax policy across the United States and potentially serve as a tax model elsewhere.
Blockchain and other DLTs hold great promise to help solve key energy challenges. The growing number of connected devices and distributed energy resources is adding further complexity to the rapidly evolving energy system. Blockchain may play an integral part in connecting consumers, electric utilities and third parties to these devices and the wider system, in a more secure, efficient, and distributed way.
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.
The reliability, security, and sustainability of energy generation and supply are of global importance and the building sector accounts for up to 32% of total energy consumption, which makes it a key player in the domain. Previous research has identified that the actual energy consumption in buildings could be as much as 2.5 times of the predicted or simulated.