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 ...

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 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 ...

Reducing energy consumption has become a call to arms for governments and energy producers as they scramble to secure alternative fuel sources. But in its wake, the energy crisis is not just leaving ...

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 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 ...