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 501–520 of 5759 papers
(著者不明)
Using ARDL on 1976–2024 time-series data, this study examines how energy consumption affects Pakistan's industrial growth. Energy use, trade openness, and labor participation boost industrial value added, while inflation harms it. It stress…
G. Okara
This is a review of the 4th edition of a practitioner-focused handbook on oil and gas law, covering contracts, regulation and risk. It addresses geopolitical fragmentation, just transition, sanctions compliance, ESG and climate litigation a…
(著者不明)
This study proposes a route-scale collision risk framework for wind-assisted ship propulsion (WASP), evolving CPA into a spatio-temporal pre-filter for Safe Boundary methods. Using the SOMOS optimal routing simulator over one year on the Sa…
(著者不明)
This paper surveys four decarbonization pathways for hard-to-abate heavy industry — hydrogen-based reduction and combustion, direct electrification of process heat, CCUS, and clinker substitution/mineralization — from a process-engineering …
(著者不明)
This study uses AI to optimize hydrothermal liquefaction (HTL) of macroalgae for biofuel production. A bio-oil yield of 23.5% was achieved at 280°C, 30 min, 15% solids, with AI prediction error under 2%. The biochar (55% carbon) supports so…
(著者不明)
This paper analyzes Ukraine's green transition as simultaneously an environmental, macroeconomic, security, and EU-integration agenda. It argues decarbonization, energy efficiency, renewables, and industrial modernization are prerequisites …
(著者不明)
Proposes an integrated framework for transforming ports into sustainable energy hubs, combining renewable generation, battery storage, green hydrogen, port microgrids, and intelligent energy management. It explicitly addresses Mediterranean…
(著者不明)
A machine-learning-assisted framework co-optimizes electricity–heat–hydrogen–storage coupling in grid-connected integrated energy systems. Using K-means and Latin hypercube sampling for scenario generation, a MILP co-optimizes cost, carbon …
(著者不明)
This review integrates algae hydrothermal liquefaction (HTL) biocrude upgrading with green hydrogen for sustainable aviation fuel (SAF). It links cultivation, catalytic upgrading, hydrogen-assisted hydroprocessing, and TEA/LCA across the va…
(著者不明)
This paper provides a cross-technology quantitative assessment of hydrogen, solar thermal, bioenergy, and CO2 conversion, using unified techno-economic metrics. Hydrogen offers 66–95% global warming reduction and $10.0–15.7 trillion in miti…
(著者不明)
Using Ghana's Parliament House as a case study, this paper assesses the technical and economic feasibility of rooftop/carport solar PV-grid integration and green hydrogen/ammonia production via GIS and Python simulation. A 6.3 MW solar syst…
(著者不明)
This roadmap integrates fluid dynamics, combustion chemistry, advanced diagnostics, and machine learning to enable the low-carbon transition. It highlights hydrogen, ammonia, and sustainable aviation fuels as key energy carriers, alongside …
(著者不明)
This PRISMA-based review synthesizes literature on Industry 5.0, the 10R circular framework, ESG mandates, and deep decarbonization technologies. It argues that while digital twins and AI optimize energy efficiency, long-term net-zero requi…
Taize Yu, Mingxuan Lyu, Ruiling Qu +5
Using an extended STIRPAT model with ridge regression, this study analyzes determinants of EU-27 energy-related carbon emissions (1996–2023), incorporating geopolitical risk and energy transition. Four scenarios show GDP and unemployment po…
Jianhua Zhang, Salman Abbas, Moniba Sana +2
Using panel data for 61 economies (2002–2024), this study examines how green technological innovation (GTI) affects energy security via copula modeling, method-of-moments quantile regression, and quantile random forest. GTI improves energy …
Fatih Kasımoğlu, Duygu Aghazadeh, Durdu Hakan Utku
This study addresses a sustainable vehicle-routing problem where a heterogeneous fleet serves dispersed customers from a central depot, minimizing both transport cost and CO2 emissions. A bi-objective MIP model is formulated with two lexico…
Airam Perez Guillen, Yuwen Peng, Jovica V. Milanović
This paper presents a probabilistic component-based methodology to assess how rising adoption of low-carbon technologies (EVs, LED lighting, heat pumps) affects aggregate load models at bulk supply points. It estimates voltage exponents and…
Rudi Nurdiansyah, Mohammad Adam Jerusalem, Indah Apriliana Sari
This PRISMA-based systematic review examines how institutional arrangements, political economy, financing, and energy justice shape Indonesia's renewable energy deployment. It finds that entrenched interests, centralized governance, and fos…
Yang Liu, Hongyan Zhao, Yuan Ma +6
This study analyzes how strategic low-carbon transition pathways for China's iron and steel sector affect PM2.5 pollution and related health outcomes. It suggests decarbonization policy can deliver climate mitigation and air-quality/public-…
Yuanyuan Hao
Using 285 Chinese prefecture-level cities and a two-way fixed-effects model, this study examines how climate risk affects urban low-carbon energy transition. Climate risk significantly inhibits the transition directly, yet indirectly promot…
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