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 ...

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 ...

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 ...

The National Renewable Energy Laboratory (NREL) has release ALTRIOS (Advanced Locomotive Technology and Rail Infrastructure Optimization System), described as “the world’s first fully integrated, open ...

The Pathway to Industrial Decarbonization To effectively tackle the climate crisis and reach net-zero emissions by 2050, the United States must provide a pathway to accelerating the decarbonization 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 ...

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 ...

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 ...