Results 81 to 90 of about 11,899 (303)
AIChE Journal, EarlyView.Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
HeliyonNowadays, the demand for processed food items is surging. To fulfil the enhanced demand, a significant impact is laid on the environment, which enhances the carbon footprint being generated. Hence, to overcome this, the avenues of decarbonisation need to
Janpriy Sharma +3 more
doaj +1 more source
The overall objectives of this study are to contribute to optimal pathways for decarbonisation of heating and cooling. The study depicts the perception or image of heat pumps and district heating and cooling among different consumers in the residential ...
Gilmore-Maurer, Mary +14 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Decarbonisation Prospects of the Chemical and Petrochemical Industry in Italy
EnergiesAlthough the chemical and petrochemical (C&P) industry is a cornerstone of the Italian and European economies, it is also an intensive energy consumer and a high emitter of greenhouse gases.
Giuseppina Di Lorenzo +2 more
doaj +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
The strategic challenges of the decarbonisation of the manufacturing industry
Economics and EnvironmentThe paper presents the problematic scope of decarbonisation of the heavy processing of the energy and carbon-intensive industry in relation to Polish conditions.
Bozena Gajdzik, Barbara Piontek
doaj +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
CEO power and firm decarbonisation efforts [PDF]
Using a global sample of 899 firms from 26 countries for the period 2000 to 2021, this study investigates the effect of CEO power on firms' decarbonisation efforts.
Kyiu, Anthony +3 more
core +1 more source
Linking Synthetic Materials Chemistry to Electrocatalytic Performance
Angewandte Chemie International Edition, EarlyView.Synthetic materials chemistry governs electrocatalyst performance through precise control of phase, composition, defects, and morphology, while emerging operando techniques, data‐driven approaches, and automated laboratories are advancing the field toward predictive catalyst design for sustainable energy conversion.
Debabrata Bagchi +3 more
wiley +1 more source