Results 71 to 80 of about 11,133 (260)
Concentrated Solar Thermal (CST) has been addressed as a promising technology for industrial heat decarbonization; however, its use is still limited to low-medium temperature processes (50-250°C).
Marco Colombi +3 more
doaj +1 more source
Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade
ABSTRACT The carbon border adjustment mechanism (CBAM), launching 2026, will charge EU importers for embedded carbon emissions, aiming to reduce emissions but raising import costs. Shifts in demand following implementation may reduce carbon emissions, but importers will bear the cost of increased prices.
Natalie Crisci +3 more
wiley +1 more source
Sustainable and equitable decarbonization
Araújo, Ofélia Q. F. +1 more
openaire +2 more sources
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
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
A retrospective analysis of funding and focus in US advanced fission innovation
Deep decarbonization of the global energy system will require large investments in energy innovation and the deployment of new technologies. While many studies have focused on the expenditure that will be needed, here we focus on how government has spent
A Abdulla +3 more
doaj +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
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
Key and controversial issues of economy decarbonization
The main issues causing scientific disputes and public discussions about the directions, methods, and speed of the Paris Climate Agreement implementation have been considered and briefly analyzed.
O. M. Makhalina, V. N. Makhalin
doaj +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Segmented Therapeutic Delivery via Acoustic Microbubble Relay
An acoustically driven, modular segmented delivery system is presented to overcome mechanical limitations of conventional microcatheters. Oscillating microbubbles generate directional streaming that enables continuous, targeted transport across open, angled segments.
Lei Wang +6 more
wiley +1 more source

