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 81–100 of 26614 papers
Jack Alfred Johnson, Nicholas Shaw, Robert Knipe +1
This study assesses the feasibility of an open-loop ground source heat pump system in the Carboniferous Millstone Grit of Ilkley, West Yorkshire, targeting the shallow Marchup Grit aquifer (~90 m, ~14.5°C). A doublet configuration is simula…
Anzad Batharudeen Kutty
This review synthesizes 2020–2025 literature on integrating recycled materials and sustainable construction chemicals as a unified low-carbon strategy for Saudi construction. It finds carbon reduction is greatest when high-volume mineral su…
Xiaoxue Du, Zhihao Zhu, Lizhang Xu
This review integrates five perspectives—intelligent sensing, electrified actuation, hybrid powertrain architecture, field-condition prediction, and energy management—for rice–wheat combine harvesters. It compares series, parallel, and powe…
Liudmila Cazacova, Balkız Yapıcıoğlu
A pilot study at an Emirati university compared four student building projects before and after acoustic design interventions using Revit Insight, tracking total, embodied, and operational carbon plus energy use intensity. Reductions varied…
Ziran Kong, Fan Wu, Jian Zhuo
A geocomputational framework (trajectory-based emission accounting to counterfactual optimisation) analyses taxi commuting carbon across 1,494 grid cells and 29 built-environment indicators in central Shanghai. Higher density raises total e…
Nanxu Chen, Jin-Feng Huang, Yuling Hu
This paper examines how innovation in intermediate products drives the low-carbon transformation of traditional manufacturing. Without an abstract, details are unclear, but it likely highlights that decarbonizing upstream materials and comp…
Fatima Nasser, Ahmed Zayan
This paper reviews recent literature on how renewable deployment, energy efficiency and economy-wide decarbonization interact. It finds that technological learning, policy credibility, financing and grid integration drive renewables, while …
Bartosz ŁATA, Jacek Andrzej Czarnigowski, Wiktor ISKRA +2
Static FEM simulations compared a CFRP versus flax-fibre biocomposite monocoque for a Shell Eco-marathon prototype vehicle. A 1:1 material substitution raised maximum deformation ~2.6-fold, failing stiffness criteria; adding flax layers (30…
Yicong Li, Yicong Li, Yanfeng Li +4
This study proposes a Sports Venue Low-carbon Evaluation System (SV-LCES) integrating life-cycle carbon emission evaluation (LCCE) with multidimensional performance assessment. Using EnergyPlus simulations and emission factor methods, it wa…
Yang Yang, Yeonggil Kim, Yindong Chen
An empirical study on how AI adoption drives low-carbon transformation in supply chains, testing green dynamic capabilities as a mediator and low-carbon policies as a moderator. It suggests AI improves decarbonization outcomes indirectly, w…
Mingchen Ma, Shuxiao Wang, Bin Zhao +12
Using high-resolution inventories and a chemical transport model, this study assesses how large-scale afforestation interacts with anthropogenic emission cuts to affect O3 and PM2.5 in China. Afforestation could raise BVOC emissions by 20–2…
Fujia Wang, Yueying Zhao, Zhiyu Yu +2
This paper proposes a cloud-fuzzy multi-objective optimization framework for siting bidirectional-storage electric bus charging stations and renewable resources in distribution networks, integrating carbon trading and technical-operational …
Cheng Liu, Usman Mehmood
Using MMQR on G-10 data (1990–2023), this study links economic growth, trade, population, renewable energy, green innovation, and fiscal development to carbon intensity. Growth and fiscal development raise CI, while renewables, green innova…
Liu Chen, Haixiang Feng, Luping Qin +2
This study predicts staggered carbon peaking in China's logistics industry along the New International Land-Sea Trade Corridor. It highlights how peak timing varies across regions and segments, informing decarbonization pathway design for l…
Çiler SİGEZE, Esra Ballı, Mehmet Sedat UĞUR +5
Using panel ARDL and MMQR on ASEAN-5 data (1971–2020), this study examines how oil, coal, renewable energy, GDP and trade affect CO2 emissions. Oil, coal and GDP raise emissions, while renewables reduce them; effects strengthen at higher qu…
Akhılesh Kumar
This paper comparatively analyzes climate governance frameworks in India and Scotland, focusing on carbon trading and energy finance regulation. It shows how constitutional structure, development level, and regulatory maturity shape market-…
Jiaqi Zhang, Xinyu Zhao, Xin Tong +3
This paper develops a carbon-aware optimal dispatch model for park-level integrated energy systems that jointly incorporates renewable energy certificate (REC) markets and emission trading schemes (ETS). It analyzes how coupling carbon and …
Xinlai Liu, Tolkien Bagchi, Oliver H. Gao +1
This paper proposes a double auction mechanism for token-based carbon credit trading on blockchain to address inefficiencies, credibility issues, and double counting in voluntary carbon markets. Smart contracts match buyer bids with seller …
Daojun Bi, Xinyu Zhang, Zeyu Li +1
Using China's carbon emission trading policy as a quasi-natural experiment and a multi-period DID on A-share listed firms (2010-2024), this study finds the policy significantly promotes within-industry green innovation spillovers. Mechanism…
Yo-Der Huang, Unaffiliated, Chun-Che Huang +1
This study addresses emission trading (ET) as a multi-objective matching problem between polluters and green entities. It proposes EMOBET, an evolutionary multi-objective optimization approach that simultaneously minimizes buyer cost, maxim…
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