Over the past five years, we have used data and analytics to help the research and healthcare communities navigate the sea of research and to put collaboration, both interdisciplinary and international, at the heart of scientific progress on the SDGs. View findings for SDG 7.
Over the past five years, we have used data and analytics to help the research and healthcare communities navigate the sea of research and to put collaboration, both interdisciplinary and internati
After water, concrete is the second most used material in the world. Using life cycle assessments, concrete has typically been found to be 80% of a residential building by weight.
Solar light-driven water splitting provides a promising way to store and use abundant solar energy in the form of gaseous hydrogen which is the cleanest chemical fuel for mankind; therefore this field
This special issue explores the influence that insects and other invertebrates have on ecosystem services and the Sustainable Development Goals (SDGs), and makes a case for insect science to promote a sustainability science approach.
Elsevier,
Drilling Engineering: Towards Achieving Total Sustainability, Sustainable Oil and Gas Development Series, 2021, Pages 529-618
This book chapter advances SDG 7 by describing the latest technologies including data processing and data acquisition around drilling enabling smarter and more sustainable practices.
Elsevier,
Drilling Engineering: Towards Achieving Total Sustainability, Sustainable Oil and Gas Development Series, 2021, Pages 619-673
This book chapter advances SDG 7 by explaining how environmental sustainability can be achieved in oil and gas drilling through practices, green chemistry, and zero waste supply chains.
This chapter advances SDG 7 by reviewing important policies and market trends shaping the global development of clean energy technologies; it argues that clean energy project costs are now competitive with or lower than conventional fossil fuels in most markets around the world, and discusses the most promising future areas of research for improvement.
This article supports SDGs 7 and 9 by creating a digital twin model of batteries via combining emerging machine learning technologies and battery modeling, achieving more intelligent control and longer battery life, providing key technologies for establishing an intelligent battery management framework in the future.
