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 1–20 of 2819 papers
A. Wesley, T. Kangwansura
This paper reports a drilling contractor's transformation from annual sustainability disclosure to an operational, AI-enabled emission management system. Based on a 2021 GHG baseline, operational control boundaries, and Net Zero 2050 commit…
Junhui Li, Qinglin Sui, Wenbo Si +5
Proposes a collaborative optimal dispatch strategy for multiple wind-PV-storage systems to address energy storage investment cost recovery. Integrates storage-assisted dispatch tracking and frequency regulation, with a bidding-dispatching-s…
Huimin Shao, Qing Jin, Jia Zhou +4
Using Chinese A-share listed firms from 2010-2024, this study finds that ESG performance enhances financial performance, mediated by green innovation and moderated by financial risk. Benefits are stronger for non-state-owned, high-disclosur…
Qian Wang, Siyu Chen
Using a panel of Chinese A-share firms (2007-2024), this study constructs a firm-level climate risk measure via annual report text analysis and shows that climate risk significantly raises the cost of debt. It identifies two transmission ch…
M. Fąfara, Julia Mytnik, Ł. Łukaszewski
This study integrates BIM and LCA to assess environmental impacts of revitalizing a post-industrial site in Poland. It quantifies emissions from demolition and new material use versus reuse, showing significant reductions through circular s…
Ruolan Zhang, Wei Shen, Dejian Wei +2
This paper proposes a dynamic network framework integrating AIS and MRV data to assess shipping traffic resilience and green operations. Using real AIS and full-year DGX data, it computes functionality curves and Resilience-Green Index valu…
Ayush Gupta, Michael Harasek
This study presents a cradle-to-gate LCA of AEM and BPM electrolyzer systems for CO2-to-ethanol conversion. Wind-powered operation yields the lowest climate impacts (0.318 kg CO2-eq/kg ethanol for AEM), with electricity supply as the domina…
Tian Zhang, Junhan Zhang
Using panel data from 260 Chinese cities (2010-2022), this study finds that green finance significantly reduces total carbon emissions and intensity, with heterogeneous effects across financial instruments and regions. Spatial analysis reve…
Shuyan Lu, Zhaoyu Chen, Tingna Luo +7
Inspired by eggshell biomineralization, this study develops a novel material combining amino-functionalized ZIF-8-NH2 with PAM hydrogel to enhance CO2 hydration thermodynamics and fix CO2 as calcium carbonate. The CO2 sequestration capacity…
Shen Yao, D. M. Paker, Ram R. Ratnakar +1
This study quantifies CO2 adsorption and permeability in shale under reservoir conditions using magnetic suspension balance experiments and volume-averaging modeling, targeting CO2 storage in depleted shale-gas reservoirs. High-temperature …
Amal Asaad, Sami Karaki
This paper proposes an optimization framework for green hydrogen production integrating PV, desalination, PEM electrolysis, and battery storage. Using a two-step ordinal optimization method, it minimizes levelized hydrogen cost. Case studie…
Sibo Wang, Yiheng Bian, Gengfeng Li +1
This paper proposes a dual-layer optimization model for economic dispatch of multi-microgrid systems under coupled electricity-CET-TGC markets. Using a modified state-based potential game, it increases social welfare by 23.15% and reduces r…
Kun Bo, Linlin Cai, Dong Zhang
This study develops a dynamic TCO model for a 15,000 TEU methanol dual-fuel container ship on the Ningbo-Zhoushan-Valencia corridor, integrating EU ETS carbon costs and FuelEU Maritime compliance. Under baseline assumptions, the 15-year pre…
Iris Cuevas Martínez, Antonio J. Jara, Jesualdo Tomás Fernández Breis
This paper presents envair360, a Physical Intelligence architecture integrating traffic, meteorological, and chemical models to design, operate, and verify low-emission zones (LEZs). It introduces an evidence-gated methodology with data gov…
Murali Krishna Pasupuleti
This paper proposes an Earth-system digital-twin framework for verifiable enhanced weathering carbon removal, integrating process-based geochemistry, agricultural/hydrological modeling, multisource observation, Bayesian data assimilation, a…
Bo Zhao, Jafar Hussain, Zhenyu Qiu +2
This study analyzes the impact of adopting Smart Emission Control Systems and Energy Security on CO2 reduction and profitability in a supply chain of 500 manufacturers, agents, and retailers using game theory and simulation-based optimizati…
Chuanchao Li, Yuanhe Du, Shuangyang Zhai
Using data from 284 Chinese cities (2012-2023) and a quasi-natural experiment of climate-resilient city pilots, this study applies double machine learning and spatial lag models to show that climate risk governance significantly enhances ur…
Muhammad Mubashir Hussain
This study evaluates corporate reporting quality (CRQ) by integrating financial and sustainability reporting quality for early adopters of IFRS Sustainability Disclosure Standards. Using purpose-built indexes, it quantifies qualitative disc…
Jeremiah Say
Provides 2024 grid carbon intensity and carbon-free energy percentage for all 44 Google Cloud regions, from 3 gCO2e/kWh in Stockholm to 679 in Mumbai. Useful for location-based Scope 2 accounting, though data is not third-party assured.
Jordana Composto, Chris Greig, Elke U. Weber
This paper empirically examines how community-directed communication shapes risk perception and acceptance of carbon capture and storage (CCS) in the United States, aiming to bridge the social license gap. It provides insights into effectiv…
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