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 ...

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 ...

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 ...

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 ...

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, ...

Clean energy abundance for a high energy planet is the future we want. More than 30 terawatts (electrical) (TW(e)) of clean firm energy are needed to fully decarbonize the global energy system and ...

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 ...