This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 321–340 of 1406 papers
L. Castañeda-Losada, Michael Richter, Christophe Léger +2
This review outlines the fundamentals of electroenzymatic CO2 fixation, covering available enzymes, product range, and thermodynamic/kinetic considerations. It highlights the potential for high energy efficiency and selectivity in synthesiz…
Zohra Kahouli, Daghbagi Hamrouni, Radhouane Hasni +1
This paper uses quantile regression to examine the heterogeneous effects of green finance, environmental policy stringency, and structural change on CO2 emissions across OECD countries. Findings reveal varying impacts across emission quanti…
Omprakash Sarkar
This review examines anaerobic bioprocessing pathways for waste-to-energy, highlighting acidogenic/acetogenic fermentation producing hydrogen and volatile fatty acids, and methanogenesis producing biomethane. It argues for integrating these…
Yufei Chen, Sunhee Suk, Chunhui Liu
This paper examines the impact of China's pilot emissions trading system (ETS) on corporate ESG performance, focusing on the mediating role of green technological innovation. Empirical results show that the ETS promotes environmental invest…
H. Liao, Chang-Yi Kao, K. Ang
This paper introduces a zero-trust orchestration framework for Smart Fabs to comply with the EU's SSbD, CSDDD, and CBAM. Using Professional Proxies and industrial data spaces, it automates compliance verification via federated machine learn…
Y. Kashtan, D. Michanowicz, S. Leskin +2
This study directly measured refrigerant leak rates from 126 residential air conditioners in the San Francisco Bay Area. The average annual leak rate is 1.78%, much lower than typical assumptions. Leaks are heavily skewed: the top 1% of lea…
J. Belot
This brief analyzes CERAWeek 2026 as a structural shift where energy becomes a constraint layer for industry and AI, emphasizing the transition from abundance to constrained capacity, infrastructure deployment speed, and coordination across…
Han-Teng Liao, Chang-Yi Kao
As the EU CBAM approaches, this paper proposes a RegTech reference architecture using the International Data Spaces (IDSA) framework to reconcile regulatory transparency and data sovereignty in global semiconductor-petrochemical value chain…
Qina Zhu, Shanshan Jiang, A. Du
Using data from 2630 Chinese A-share listed companies (2010-2022), this study demonstrates that AI enhances corporate ESG performance. Based on information processing theory, it identifies three mechanisms: improving green innovation rate, …
Wenze Wu, Mei Sun, Mark Goh
This study constructs firm-level indices of supply chain digitalization (SCD) and corporate green transition (CGT) via textual analysis of Chinese A-share manufacturing firms' annual reports. It finds that SCD significantly promotes CGT, me…
Apoorv Lal, Fengqi You
This paper presents a scenario-based framework to evaluate transcontinental electrification and hydrogen corridors for Europe's energy security and climate goals. It finds that corridors from MENA (electrification) and allies (hydrogen) can…
H. Hawez, Shaee Radha Omar, L. Alwan
This review compares four geological formations for underground hydrogen storage: salt caverns, lined rock caverns, depleted hydrocarbon reservoirs, and saline aquifers. It evaluates storage mechanisms, efficiency, safety, and economic feas…
Mustapha Belfahli, A. Aittaleb, M. Sallaou
This paper proposes a modularization approach for green hydrogen plants using Design Structure Matrix (DSM). It reduces structural complexity by 33.8% and improves clustering efficiency to 66.9% for a medium-power green hydrogen station, pr…
Mileva-Valentina Manescu-Dragotoiu
This paper explores the use of Agreed-Upon Procedures (AUP) under ISRS 4400 (Revised) for verifying ESG indicators under the CSRD and ESRS framework. It proposes a mapping model between ESRS indicators and AUP procedures, illustrated throug…
Gabriel Vasilescu, Larisa Basica, Cristina Tatarcan +1
This article examines practices for disclosing OPEX, CAPEX, and turnover in line with the EU Taxonomy, highlighting common challenges such as data collection, interpretation of technical criteria, and internal controls. It provides guidance…
Angat Jotiram Ghanwat, Avinash. A. Somatkar, Viraj Shailesh Patole +1
This structured review synthesizes a framework for industrial energy efficiency benchmarking from standards like ISO 50001, Energy Star, and PAT. It highlights digital technologies and AI for predictive optimization, and case studies demons…
Christina V. Grammenou, A. Bouhouras
This paper proposes a framework for optimal siting and operation of hydrogen stations (HSs) in distribution networks with high renewable penetration. Using dual-objective MILP, it minimizes voltage deviations and total operating cost over a…
Ying Lan, Wen Zhang
Proposes a cooperative optimization model for photovoltaic-storage systems using coalition game theory, incorporating a dynamic carbon trading mechanism. The model maximizes total revenue from electricity and carbon trading, distributes sur…
Ru Yang, Rui Long, Hongbin Liu +3
This study deploys a distributed photovoltaic system at wastewater treatment plants (WWTPs), quantitatively analyzing economic and environmental benefits via PVsyst simulation. Results show 83.3% system efficiency, annual power generation o…
Shuxian Zheng, Tong He, Ying Liu +4
This paper analyzes the spatial distribution of sulfur emissions in global photovoltaic supply chains and evaluates the impact of trade barriers. It finds that spatial decoupling creates emission hotspots and trade barriers increase supply …
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