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 1721–1740 of 11066 papers
Haozhe Xiong, Daojun Tan, Yiqun Kang +4
This paper proposes a low-carbon economic dispatch model for an islanded renewable microgrid. The objective includes fuel, O&M, BESS degradation, curtailment, load shedding, DR compensation, and carbon emission costs. A repair-based constra…
Mark Sudarsanam, Veeraraghavan Sakthimurugan, Yuvarajan Devarajan +5
This review synthesizes advances in biomass-based biofuels, covering feedstock, pretreatment, conversion pathways, and policy. It compares first- to third-generation technologies and highlights integrated biorefineries and AI-driven life-cy…
WONG YU SAN
This study examines the impact of China's Low-Carbon City Pilot (LCCP) on corporate ESG performance using panel data of A-share listed firms from 2010 to 2024. Using a multi-period difference-in-differences approach, the baseline results sh…
Durvesh Gotarne
This study develops eco-friendly concrete using industrial by-products such as fly ash and GGBS as partial or full replacements for cement. It evaluates mechanical properties, durability, and environmental benefits, offering a solution for …
Zongqiang Ren, Yaowen Xu, Devin Sapsford +1
This study develops low-carbon, porous biochar-slag composites to enhance phosphorus removal from water. By utilizing waste-derived materials, it contributes to circular economy and water quality improvement.
Yan Hao, Yanmei Yuan, Hui Liu
This study proposes a data-driven approach for fertilization behavior recognition and low-carbon decision optimization using multi-source agricultural time-series data. It combines LSTM with attention mechanism for behavior recognition and …
Masroor Ahmad, Anam Ul Haq Ganie, Ghadda M. Yousif
This paper examines whether nuclear energy promotes sustainable economic growth during the low-carbon transition using non-linear and asymmetric analysis. It provides empirical evidence on the role of nuclear power in balancing economic gro…
Jae Young Jung, Dong‐Ju Lee, Young Je Park +3
This study develops low-temperature, resin-free carbon papers using carbon nanotube bundles for gas diffusion layers in PEM fuel cells, aiming to reduce manufacturing cost and improve performance.
Zhou Shiwan, Lu Wenting, Tian Congxiang +1
This paper proposes a bi-layer optimization framework integrating power-to-ammonia and thermal storage for low-carbon buildings under tiered carbon pricing. It aims to balance energy cost reduction and carbon emission reduction, analyzing h…
Hélio Nunes de Souza Filho, Alessandra Brito Leal, Ennio Peres da Silva +2
This paper applies a multicriteria decision analysis to rank low-carbon hydrogen carriers and derivatives (ammonia, methanol, etc.) production and transport routes for Brazil, considering technical, economic, and environmental criteria.
X D Liu, Ningyu Mao, Yuhao He +3
This paper proposes a low-carbon economic dispatch method for electricity-hydrogen integrated energy systems considering carbon capture, building an optimization model to balance economic and environmental objectives.
Yingchun Yan, Xingjie Lu, Jianpeng Li +2
This paper analyzes the current status and challenges of carbon measurement in Henan Province's cement industry, proposing countermeasures and implementation strategies for green transition. Henan's cement industry emitted approximately 64.…
Hanqing Hu
This paper uses the LEAP model to forecast Beijing's energy demand and carbon emissions from 2020 to 2060 under baseline, low-carbon, and enhanced low-carbon scenarios. Results show the enhanced low-carbon scenario best achieves the 'dual c…
Izlawanie Muhammad, Astri Warih Anjarwi
This paper qualitatively analyzes the necessity of carbon pricing in Indonesia and Malaysia, identifying six key justifications. It integrates Islamic values to enhance public trust and communication strategies for carbon pricing adoption.
Xingrun Tao
This paper proposes a framework to integrate the 'dual carbon' goals (carbon emission peak and carbon neutrality) into the comprehensive urban design of Zibo City. It presents four strategies: a symbiotic low-carbon spatial pattern of 'moun…
Jega Jegatheesan
This paper explores contributions to carbon neutrality through broader approaches in environmental quality management. Without an abstract, the specific methods or case studies are unclear, but it proposes a management perspective.
Ning Hu, Zhiyuan Tang, Shuaijia He +3
This paper proposes a multi-agent reinforcement learning based bidding strategy for virtual power plants (VPPs) in the spot market under carbon trading. It develops an AI method for VPPs to optimize bids considering carbon costs, improving …
Yu-Cian Lin, Ying-Chieh Chan
This study develops a multi-objective optimization framework for urban greening that visualizes trade-offs among cost, carbon sequestration, and shading. Using 3D parametric modeling and evolutionary algorithms with localized data from Taiw…
Dung‐Ying Lin
This study analyzes the trade-offs between CO2 and black carbon emissions in Arctic shipping route design. It considers the impacts on global warming and ice melt to propose optimal routes.
Lu‐Tao Zhao, Shi-Tong Wang, Zhi Qu +2
This study uses evolutionary game theory to model the impact of green certificate and carbon emission trading policies on clean energy investment decisions. It provides insights for optimal policy design to promote renewable energy deployme…
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