Burning fossil fuels for electricity, heat, and transportation is by far the largest contributor to greenhouse gases, according to the U.S. Environmental Protection Agency. Renewable power generation ...
Like digitization for the past few decades, decarbonization is a "megatrend" for the global financial markets, Rama Variankaval, the head of JPMorgan's Center for Carbon Transition, told CNBC. "It ...
Estimates vary, but it’s widely acknowledged that HVAC systems in buildings — residential, commercial, industrial, institutional — together account for a significant proportion of greenhouse gases, ...
The power, utilities, and renewables (PUR) sector has a significant role to play in the transition to clean energy—and for good reason: decarbonizing power production will allow other industries to ...
The path to decarbonization is arching toward hybridization and innovation. As the built environment confronts its critical role in global carbon emissions, industry leaders are moving beyond ...
NEW YORK & SINGAPORE--(BUSINESS WIRE)--Decarbonization Partners, a partnership between BlackRock and Temasek focused on investing in next-generation private companies that support the acceleration of ...
As extreme weather events become more frequent and the impacts of climate change become stronger, countries around the world are strengthening their decarbonization efforts. The 2016 Paris Agreement ...
Scientists create computational model for identifying low-cost catalysts that convert biomass into fuels and useful chemicals with low carbon footprint. Next time you drive past farms or prairies and ...
Scientists at Skoltech have been exploring how artificial intelligence (AI) can help economies to decarbonize while supporting our lifestyles. Recognizing the urgency of averting the worst outcomes of ...
Recently, several THB readers have been in touch with requests. One request is to discuss climate mitigation policy in less technical terms, to be more broadly accessible to nonspecialists. The second ...
The newly developed machine learning model greatly speeds up assessing the properties of molybdenum carbide catalysts for biomass conversion to useful products (top path) compared with current ...
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