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 16281–16300 of 19738 papers
Vahid Atashbari, F. Cash, D. Devegowda +3
This study analyzes the technical and economic feasibility of a bidirectional LNG-CO2 maritime supply chain under proposed U.S.-flag shipping requirements. A case study examines LNG exports from the U.S. Atlantic coast paired with return CO…
Ali M. Al-Ashwal, Osamah Eskandar Shaalan, Omar Omer Ahmed Obad +1
Following the civil war in Yemen, solar home systems proliferated in Sana'a due to grid failure. This study evaluates the economic and environmental feasibility of PV grid-parity using LCOE, finding high viability and significant CO2 reduct…
Gang Ren, Peishu Peng, Yan Li
Applying qualitative comparative analysis and machine learning, this study examines the ESG-performance link from a resource-based view. Results show high ESG performance combined with high independent directors and R&D investment enhances …
Wenwen Zhang, Qingrong Liu, Yingjun Ruan +5
This study compares five district energy supply schemes for commercial building clusters in Zhejiang, China: gas-electric hybrid, gas cogeneration, all-electric (heat pumps), PV integration, and energy storage. Results show all-electric pat…
Jia Lu, Junjie Wang, Jijun Liu +1
This paper proposes a stochastic optimization scheduling model for a multi-energy virtual power plant (MEVPP) integrating biomass co-combustion carbon capture, power-to-ammonia, and urea synthesis. It accounts for wind and solar uncertainti…
N. Alshammari, F. Alyami, Sheeraz Iqbal +2
This paper proposes an adaptive preference-based multi-objective optimization framework for intelligent energy management in smart microgrids, simultaneously minimizing operational cost and carbon emissions while enhancing voltage stability…
Wen Wen, Renchao Xie, Qinqin Tang +5
This paper proposes a demand-driven server deployment scheme for Computing Power Networks (CPNs) that accounts for spatiotemporal variations in renewable energy availability, electricity prices, and task characteristics. A hierarchical solu…
Mohammad Imtiaz Hossain, Md Emon Ahmed, Mohammad Fakhrul Islam +3
Analyzing G7 economies from 2000 to 2020, this study finds that stricter environmental regulations and higher green tax revenues consistently reduce GHG emissions, while resource dependence amplifies emissions. Trade and globalization have …
Henrik Lukas Naß, Jannis Bela Grunenberg, Fares Aoun +2
This paper presents a modeling approach for residential energy systems and building renovation using evolutionary algorithms for multi-objective optimization. It explores trade-offs between energy efficiency, cost, and environmental impact,…
Mohammad Mahdi Kordian Hamedani, Alireza Jahangiri, R. Mehri +1
Proposes fuzzy reinforcement learning based energy management system (Fuzzy-EMS) optimized by Starfish Optimization Algorithm (SFOA) for hybrid renewable energy systems (HRES) including PV, wind, batteries, and EVs. Achieves cost reductions…
Shuang Yang, Chao Liu, Yuan Cao +2
This review synthesizes global evidence on how grid informatization (smart grids) reduces environmental impacts via six pathways: efficiency, flexibility, renewable integration, DER coordination, electrification management, and resilience. …
Michael Pahle, Darius Sultani, G. Zachmann
The EU's post-2030 climate policy architecture needs simplification and flexibility, but fragmentation raises costs and undermines credibility. The author proposes linking different carbon pricing systems with exchange rates to converge tow…
Maria F Bianco, Wenjun Guo, Madhu Khanna +1
This study evaluates the economic and carbon intensity implications of producing sustainable aviation fuel (SAF) by co-locating cellulosic ethanol biorefineries with Alcohol-to-Jet (ATJ) facilities at 1000 randomly sampled sites in the U.S.…
Muhammad Jalili Zarabadi, S. Karuturi
This study assesses a pyrolysis-based combined cycle for low-carbon power generation from methane. Compared to conventional natural gas combined cycle, it achieves ~54% CO2 reduction but at higher electricity cost. Carbon pricing or valoriz…
Kulmira Taraxtiyeva
The paper analyzes Uzbekistan's oil and gas economy, proposing a strategy for sustainable transition. Using 2019–2024 data and policy review, it highlights challenges of hydrocarbon dependence and aging infrastructure, recommending economic…
Yuchan Ahn
This study performs a life cycle assessment of plastic waste-to-hydrogen systems with varying CO2 utilization ratios. It reveals a non-linear relationship: environmental impacts decrease at moderate utilization (40-50%) but reverse at highe…
Muhammad Irfan
This study examines the impact of supply chain digitization (SCD) on inclusive urban energy development using China's Supply Chain Innovation and Application Pilot Policy (SCIAPP) as a quasi-natural experiment. Difference-in-differences ana…
Qazi Salman Khalid, Shahid Maqsood, Jabir Mumtaz +1
This paper introduces an emission-capacitated vehicle routing problem (E-CVRPTW) for urban waste collection, explicitly modeling fuel consumption and emissions. A hybrid guided local search algorithm reduces fuel consumption and CO2 emissio…
Rocco Pavesi, Luigi Orsi, Ivan De Noni
Using Orbit Intelligence data until 2025, this study analyzes the lifecycle of agricultural climate-related patent families, focusing on China. It finds a predominance of adaptation-oriented product-based technologies (soil management, irri…
Abdulmuttalip Pilatin
This dataset provides EU green tax and energy transition data in STATA format, serving as a valuable resource for analyzing carbon pricing and energy policies.
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