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 3201–3220 of 27325 papers
Mukhtaruddin Mukhtaruddin, Hirut Assegid, Mohit Verma +1
This chapter compares green FinTech models supporting net-zero transitions, including digital green lending, blockchain-enabled carbon markets, AI-based climate risk analytics, and crowdfunding for sustainable projects. It argues these tool…
Siavash Ghorbany, Ming Hu, Siyuan Yao +2
This study presents EcoSphere, a standalone tool automating building-level carbon assessment by integrating National Structure Inventory data, computer vision, and LLMs on Street View and satellite imagery. It builds archetype-based baselin…
Ewan Archer-Brown, Gavin Killip, Jake Barnes +1
This paper examines governance challenges in decarbonising residential heating in Britain, drawing on governance failure theory and stakeholder focus groups (n>50). It identifies five challenge areas: government structure, market design and…
Ashish Asutosh, Vikram Ganesan, Emily Fasig +1
Delaware's limited energy infrastructure is strained by population growth and economic diversification, ranking 50th nationally in energy production. This study builds a comprehensive framework using a SWOT-AHP hybrid model to identify and …
Jacobo Ferrer-Hernández, Sergio Álvarez
This study estimates Madrid's consumption-based carbon footprint for 2010–2023, integrating municipal data, regional supply-use tables, and the FIGARO MRIO database. Household emissions fell from 31,135 to 21,308 ktCO2e, with over 55% from …
Monika Orlowski, Jan Wiesenthal, Lars-Arvid Brischke
A field study of 64 German households tracked electricity use before and after PV installation to identify rebound-effect drivers. The rebound (share of self-generated power offset by higher consumption) was measurable for 15 households, me…
Timothy A. Weber, Cheng Cheng, Harry Thawley +5
Evaluating 17 institutional long-term energy plans, the authors show they skew toward fossil gas due to temporal aggregation methods that constrain storage cycling and overlook off-river pumped hydro. In a post-2050 Australian grid case stu…
Koniuszy A, Kozakowski T, Klimek K
This study analyzes energy curtailment (modeled potential minus actual grid injection) for PV, wind, and hydro in 2020–2025. Total positive curtailment reached ~3,146.3 GWh, 96.0% from installations above 500 kW, concentrated in large wind.…
Quinga M, Socasi D, Flores A +4
This study assesses the techno-economic feasibility of wind-based green hydrogen for urban mobility in Loja, Ecuador, using HOMER Pro. A hybrid system with a 23 MW PEM electrolyzer yields 550,181 kg H2/year at an LCOH of 6.25 USD/kg, enough…
Xu, Kui, Si, Jingxuan, Bin, Lingling +1
A dataset paper providing bias-corrected CMIP6 climate data (sfcWind, rsds, tas) from 10 models, ERA5 reference data, and derived wind/solar capacity factors for the Upper Yangtze River Basin. It covers historical, near-future, and far-futu…
Author, Anonymous
Replication package for a study examining whether the January 2024 EU ETS extension to outermost-region flights can be identified from post-pandemic route data. It provides replication code, a frozen data vintage, and coded literature resul…
Nyatefe, Akorfa Aku, Danso, Solomon Danquah
Deriving a six-criterion recognition-readiness rubric from Article 9 of EU Regulation 2023/956, this paper assesses the 16 most CBAM-exposed developing economies via structured document analysis. Readiness is essentially uncorrelated with e…
RECIO-ROMÁN, ALMUDENA, RECIO MENÉNDEZ, MANUEL, ROMÁN GONZÁLEZ, MARÍA VICTORIA
This replication package supports a study on cross-country heterogeneity in SME resource-efficiency convergence across Europe. It documents uneven reception of the common transition and establishes a baseline for evaluating the CSRD Omnibus…
Abdubannonova Khonzodabonu, Worldly Knowledge Publishing Centre
This article assesses the economic effects of AI and intelligent energy management on industrial decarbonisation, comparing Germany with Uzbekistan. It frames machine learning as an economic rather than environmental instrument, decomposing…
Nurwijayanti, K. N., Asnawi, Rustam, Jati, Handaru +2
This study proposes a hybrid GA–PSO building energy management model integrated with Six Sigma quality control (UCL/LCL, Cpk). Using 30 days of operational data, GA-PSO+Six Sigma cut energy use by 7.5% vs GA and 6.6% vs PSO while reducing c…
Maiken Borud Omtveit, Lisa Marie Dannappel, Shi You +1
This paper identifies AEM electrolyser model parameters directly from measured operational data at DTU's Power-to-X lab, capturing polarisation and current dynamics. The validated model enables more accurate evaluation of system topologies …
于洪文
A plate-type photocatalytic water-splitting reactor is proposed, comprising a quartz-glass/acrylic top cover, a base plate with inlet/central opening/outlet, and a carrier assembly that fixes catalyst plates and adjusts reaction-zone depth.…
Wijaya Triwacananingrum, Rahmawati Rahmawati, Djuminah Djuminah +1
This study analyzes sustainability reports from 17 Indonesian cement companies (2017-2020) using GRI standards, combining word-count textual analysis (Loughran-McDonald) with bibliometric mapping. Semen Jawa showed the strongest overall and…
Weiqing Dai, Pengcheng Zhong
This study examines how disagreement among ESG rating agencies affects corporate bond default risk, and whether investor confidence mitigates resulting financial vulnerability. It links ESG rating fragmentation to credit risk and cost of ca…
Haizhou Tang, Zhiming Xie, Qiang Fu
An empirical study examining the internal firm-level factors that shape ESG ratings among Chinese listed power companies. It analyzes how attributes such as firm size, governance, and disclosure posture influence ratings, aiming to clarify …
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