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 201–220 of 28118 papers
Ahmad Syahmi Haikal Adzka, Nia Namirah Hanum
A qualitative single-case study of an in-service Indonesian restaurant examines bamboo as a structural alternative to concrete and steel. Black bamboo columns and rope bamboo curved members are joined with ijuk and rattan, while ceramic-cla…
Juan-Juan Luo, Yu-Ru Zong, Di-Yu Ou Yang
This study develops an LLM-based (Claude 3.5 Sonnet) ESG analytics pipeline to automatically extract six indicators from 12 ESG reports (2021–2024) of three leading Chinese logistics firms: SF Express, Cainiao, and JD Logistics. Achieving 9…
Firmansyah Arifin, Yuliani, I. Andriana +1
Using a fixed-effects model on ASEAN banks (2018–2022), this study examines whether sustainable finance strengthens corporate governance mechanisms. Green bonds asymmetrically moderate the governance–performance link: management-oriented go…
H. Shafaghat, Jonathan Arhimaa Wärn, Shima Holder Hjort +2
This study examines how catalyst type governs the selectivity of cross-linked polyethylene (PEX) pyrolysis toward naphtha and diesel hydrocarbons. Activated carbon and bentonite favored both naphtha and diesel, while activated biochar mainl…
S. Chai, B. S. How, L. Ngu
This study evaluates a CCU process that mineralizes cement kiln dust (CKD) with captured CO2 to produce green bricks (CKD-BLB) via techno-economic analysis. A multi-objective stochastic optimization found an optimal absorber size of 67.93 m…
Neha Mohiuddin, Akshit Kumar, Rajesh Yadav +2
This study optimizes CO2 capture from humid industrial flue gas using amine-functionalized Zr-MOF-808 via statistical process design. It demonstrates efficient, stable adsorption performance even under moisture, advancing practical CCUS dep…
Yara A. Sultan, Asmaa H. Rabie, A. Eladl +1
This work optimizes a photovoltaic-integrated PEM electrolyzer system for green hydrogen production using the Starfish Algorithm, a metaheuristic optimizer. No abstract is available, but the study targets efficiency and operational optimiza…
Khagan Mirzazada
This paper examines Azerbaijan's green energy transition, focusing on hydropower, solar, and wind as core low-carbon alternatives. It highlights hydropower's balancing role for variable solar and wind, and notes bioenergy and geothermal pot…
Frank Tanga Simon, D. D. Du Plessis
Qualitative study of 10 commercial farmers in Namibia's Oshikoto Region on knowledge, attitudes and perceptions of green hydrogen, green ammonia and hydrogen-supported agricultural energy. Video elicitation improved evaluation specificity, …
Yu Lei, Zhong-Chao Yang, Xing-Yu Liu +2
This study integrates LCA and techno-economic analysis of a 100 MW alkaline water electrolysis system for distributed hydrogen, modeled in Aspen Plus. Powered by PV, it achieves a life-cycle carbon footprint of 1.94 kg CO2eq/kg H2, an LCOH …
M. MarcJim, Mariano, Ying-Ying Lu
This study models structural change from Australia's net zero emissions (NZE) transition using a two-stage approach linking global and Australian CGE models. NZE contracts global GDP by 5% and Australian GDP by 3.95%, with falling capital a…
B. Pratiwi, Gonda Yumitro
A case study of Bali's Net Zero Emission 2045 program examines collaborative governance in a region balancing development and sustainability. Provincial and regency budgets plus CSR funded rooftop solar and communal biodigesters, cutting em…
Yu-Ke Zhou, A. Wierman, Jie Song +1
This paper models generators participating in both electricity and carbon cap-and-trade markets across multiple timescales. Using optimization decomposition, it links their coupled incentives to an offline planner's cost-minimization proble…
P. Kaushal, Shirish Sangle, V. Gedam
Scope-3 decarbonisation is central to credible net-zero strategy, yet firms face a transparency-capability dilemma: disclosure pressure outpaces slow-building collaborative capability across suppliers. Through a conceptual review and interp…
Yan Zheng, Fenghua Wen, Jihong Xiao
An empirical study examining how risk aversion relates to carbon price returns, focusing on extreme market conditions and tail risk. Likely using China's emissions trading market data, it contributes to understanding carbon price volatility…
Hongtao Ren, Caiyu Chen, Li Su +3
This paper integrates joint energy commodity price forecasting with hydrogen energy system planning under uncertain climate policies. Authored by researchers from Chinese universities and China Construction Bank, it quantifies how price vol…
J. Shan, Chengjun Wang
Using fsQCA grounded in the socio-technical regime layer, this study examines how technological innovation, policy support, energy consumption behavior, and market environment jointly shape energy transition performance. It identifies two i…
Suoyi Zhao, Xiaojuan Liang, Jie Sun +5
This study develops a copula-based probabilistic framework to optimize negative emission technology (NET) portfolios in Northwest China under dual economic and environmental discounting. It evaluates combinations such as BECCS and DACCS und…
Khan Waqar, Md Zakaria, Md Kayda Millat +2
This review synthesizes 155 studies on thermo-hydro-mechanical (THM) behavior and sealing performance of concrete-lined rock caverns (LRCs) for compressed air energy storage (CAES) and underground hydrogen storage (UHS). It proposes a press…
Luis Martín-Domingo
A 6-minute podcast summarizing Martín-Domingo et al. (2025), which uses LLMs to extract airline emission KPIs from sustainability reports. Generated with NotebookLM and author-reviewed, it highlights how AI can automate extraction of emissi…
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