CHINA’S first large-scale bio-methanol project has officially entered full operation on Tuesday, which marks the country's strategic extension in the clean fuel sector including from hydrogen energy ...
Northumbria research extracts fibres for biodegradable fabrics whilst transforming remaining biomass into renewable gas.
Utilities customers help pay for biomass because electric utilities buy its products to produce electricity, paying four times more. Is it worth it?
Stephen Robb talks to Chris McCallum, Associate Sustainability Consultant at Tetra Tech about the role of carbon cooperative ...
Municipal solid waste (MSW) could power sustainable aviation fuel (SAF), but costs and technical hurdles such as gasification hinder its adoption. A study now shows that MSW can be turned into SAF ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Process chemistry involves the development and optimization of production processes for chemical compounds, and the scaling up of laboratory reactions, particularly in the pharmaceutical sector. The ...
Forests represent a cornerstone of global ecological processes, providing essential services such as carbon sequestration, biodiversity support, and climate ...
Engineering group KBR has been awarded a contract by Fikrat Al-Tadweer to supply its green methanol technology for Saudi ...
The Government has set targets of 100 million tonnes of coal gasification by 2030, with a total outlay of 85,000 crore rupees. Replying during the Question Hour in Lok Sabha, the Minister of State for ...
Abstract: To solve the problem of performance degradation of linear model predictive control of the coal gasification caused by coal quality, a covariance-constrained minimum variance robust ...