This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 801–820 of 4132 papers
Cristian Barón, Jorge Perpiñán, Begoña Peña
This paper assesses the technical and economic viability of integrating oxy-combustion with carbon capture and Power-to-Gas technology for decarbonizing glass manufacturing. By utilizing renewable hydrogen, it aims to reduce CO2 emissions a…
Junhao Ren, Honglin Gao, Sijie Wang +5
This paper proposes a multi-agent reinforcement learning approach to jointly design a low-carbon peer-to-peer (P2P) energy market and bidding strategies in microgrids. It optimizes economic and environmental outcomes, promoting renewable in…
Cristhiana Albert, Thilo Schmid, Zhidong Zhang +1
Decarbonizing concrete is vital for climate targets, but low-carbon mixes often reduce alkalinity, raising corrosion concerns. This paper proposes a framework combining moisture transport modeling and corrosion science to predict microclima…
Will Alpine, Nathan B. Geldner, Holly Alpine +1
This study models AI as a bidirectional productivity amplifier in a global CGE model, finding that AI-driven productivity gains in fossil fuel sectors lead to net CO2 emission increases of 0.47-1.8 Gt annually, outweighing reductions from r…
Almendra Awerkin, Paolo Falbo, Tiziano Vargiolu
This paper addresses two challenges in Renewable Energy Communities (REC): investment in renewable technologies and equitable sharing of incentives. Modeling a virtual REC with a household and a biogas producer as a leader-follower game, it…
Maxwell Woody, Gregory A. Keoleian
This study analyzes the carbon abatement costs of electric vehicles (EVs) across U.S. cities, finding that in many cities the costs are negative, meaning EVs offer both emissions reductions and economic benefits. The results highlight the i…
Rumen Mihailov, Vladimir Valkanov
This paper proposes a data-driven model to forecast photovoltaic output for small grid-tied plants, addressing grid stability challenges from high renewable penetration. It highlights the 2025 Iberian blackout and argues that improved forec…
Anup Pradhan, Peter Onu
This survey comprehensively analyzes the evolution, current state, and prospects of smart energy, revealing a shift toward decentralized systems, renewable integration, and digitalization. It identifies challenges such as cybersecurity, reg…
Joseph Sanderson
Climate change intensifies food safety risks; digital technologies (AI/ML, IoT, blockchain) strengthen risk analysis via monitoring, prediction, and traceability. Three case studies (AI sorting, blockchain supply chain, IoT cold chain) show…
Himanshu Sekhar Panda, Mantu Kumar Mahalik
Using panel data from 8 emerging and 16 developed economies (1996-2022), this study finds that renewable energy diversification mitigates energy uncertainty more effectively in emerging economies. Innovation strengthens this effect, while e…
Thaysa Portela Carvalho, Magnus Hellström, Nina Tynkkynen
This systematic review identifies sustainability tensions, dilemmas, and paradoxes in offshore wind development, highlighting conflicts among economic, environmental, and social demands. It argues that flexible definitions of sustainability…
Miller, Gregory J., Rouille d'Orfeuil, Benjamin, Shi, Wenbo
The Open Grid Emissions Initiative provides publicly accessible hourly grid emissions data for the U.S., built on EPA's eGRID with improved data quality and granularity. The 2025 early release includes plant and subplant-level data only, wi…
Ruiz Hernandez, Miguel Angel, Gomez San Roman, Tomas, Chaves-Ávila, José Pablo
This paper proposes a stochastic optimization model for timing distribution substation capacity investments under uncertainty, integrating real options and trigger rules. It demonstrates strong synergies with flexibility solutions, achievin…
Lu Hong, Feng Tian, Chunyan Diao +1
This paper proposes a systematic framework for zero-carbon industrial parks based on electricity-carbon integration, combining digital twin monitoring, VPP-enabled optimization, deep decarbonization technologies (BIPV, CCUS, green hydrogen)…
Israr Hussain Raisani, Kamran Khan, Ifrah Khalid Ghauri +1
This systematic review analyzes 25 peer-reviewed articles on supply chain decarbonization, focusing on supplier engagement, digital traceability, and carbon governance. Findings show that supplier collaboration and digital technologies (blo…
Parisa Pakrooh, Matteo Manera
This paper assesses the progress of EU decarbonization, suggesting that current trajectories are too slow relative to targets. It analyzes policy effectiveness and industrial implications, arguing for acceleration.
Gerard P.
This paper evaluates African countries as potential green hydrogen suppliers to France, focusing on the Africa-Europe energy interconnection. It considers supply costs, transport infrastructure, and geopolitical factors to propose feasible …
Wang H.
This paper comprehensively analyzes the current state and future development of CCUS strategies and technologies in China, evaluating their role in achieving decarbonization goals through policy support, technological progress, and industri…
Kalantzis F.
This paper empirically analyzes how firms respond to climate regulations, focusing on the EU Emissions Trading System (EU ETS). It examines the impact of regulation on firms' abatement behavior and competitiveness, offering insights for pol…
Wang J.
This paper evaluates the impact of China's carbon emissions trading scheme (ETS) on firm employment, focusing on the channel of industrial automation. It empirically examines how ETS may induce firms to invest in automation, thereby alterin…
Browse by Topic