Results 61 to 70 of about 3,853 (258)
Use of BP Neural Networks to Determine China’s Regional CO2 Emission Quota
Complexity, 2021 China declared a long-term commitment at the United Nations General Assembly (UNGA) in 2020 to reduce CO2 emissions. This announcement has been described by Reuters as “the most important climate change commitment in years.” The allocation of China’s ...
Yawei Qi +3 more
doaj +1 more source
Alternative Policy Designs to Help Farmers Select Profitable Conservation Practices
Agribusiness, EarlyView.ABSTRACT Voluntary private carbon initiatives (VPCIs) promote the implementation of agricultural conservation practices that mitigate emissions of greenhouse gases (GHGs) via financial incentives to participating farmers. Simultaneously, an array of public policies supports the adoption of conservation practices through technical and financial ...
Oranuch Wongpiyabovorn +1 more
wiley +1 more source
Cost‐Benefit Analysis of the European Union Carbon Border Adjustment Mechanism in Fertilizer Trade
Agribusiness, EarlyView.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
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
Assessing the impact of ETS trading profit on emission abatements based on firm-level transactions
Nature Communications, 2020 Carbon emission trading is an important market-based policy instrument to reduce GHG emission using reward-punishment mechanism. Here the authors show that the EU emission trading schemes operate at its designed purpose and there is a positive and linear
Jianfeng Guo +5 more
doaj +1 more source
The spillover effects of China’s carbon trading policy on coordinated emission efficiency
Scientific ReportsAbstractThe significance of carbon trading policy (CTP) for China’s carbon reduction goals cannot be overstated. Examining the practical impacts and inherent features of this policy is crucial for fostering its healthy development and effectiveness.
Hao Cui, Zengbing Liu
openaire +3 more sources
Challenges and enablers in fluidization technology
AIChE Journal, EarlyView.Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
AIChE Journal, EarlyView.Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Synergetic effect of China’s carbon market policies on pollution reduction and carbon reduction [PDF]
Ziyuan Kexue[Objective] Facing the target constraints of “carbon peak and carbon neutrality”, this paper discusses the impact of different carbon trading policy tools on the effect of pollution reduction and carbon reduction, and provides theoretical basis for the ...
LUO Liangwen, LEIZHU Jiahua
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source