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 ...

Next time you drive past farms or prairies and ponds on a rural road, look around. They are a rich source of biomass. That includes corn, soybeans, sugar cane, switchgrass, algae and other plant ...

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 ...

A report released Monday shows that collective global climate action is still falling short of what’s needed to protect Earth’s livable climate. Still, progress has accelerated dramatically in the ...

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 transformation of the United States’ energy system provides unprecedented opportunities for leadership in innovation, economic growth, and decarbonization, but it will not be without significant ...

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 ...

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 ...

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 ...

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 ...