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 ...

As health care sustainability enthusiasts, we’re hopeful. Major health care institutions are publicly recognizing both the impact health care sector carbon emissions have on our environment and global ...

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 ...

WASHINGTON--(BUSINESS WIRE)--Today, a national coalition that includes nine major cities and counties launched a turnkey building decarbonization program that aims to rapidly scale up the deployment ...

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 ...

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 ...

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 ...

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 ...

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 ...

CO2 is the largest driver of climate change and the greenhouse gas most intimately integrated into the U.S. economy and way of life. This ad hoc committee will examine the status of technologies, ...

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 ...