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 521–540 of 6957 papers
Jan Hartmann, David Yang Shu, André Bardow +1
A study examining the enablers and barriers to realizing sector-coupled energy systems within planetary boundaries. It assesses the conditions under which integrated power, heat, transport and industry decarbonization pathways remain consis…
Andrea Bastianin, Xiao Li, Luqman Shamsudin
Analyzes return and volatility dynamics of 16 energy transition metals critical to renewables, electrification, storage and digital infrastructure. Comparing GARCH(1,1) with several stochastic-volatility models via in-sample estimation and …
Prakash Gadipelli
A comprehensive review of bio-based materials for batteries and supercapacitors, covering biomass-derived carbons (>400 mAh/g Na-ion anodes, >300 F/g supercapacitors), natural polymer gel electrolytes, and bio-inspired composites. It report…
Квон Гульнара Магсумовна, О. Г. Поздеева
This paper assesses circular-economy elements in Russia's energy policy, examining renewable energy, resource efficiency, and energy-sector waste. It finds that Russia's Energy Strategy to 2050 includes some resource-saving measures (ash/sl…
Kathleen J. Hancock, Kathryn Chelminski, Christina E. Hoicka +3
Drawing on empirical energy-transition research across democracies in the Americas, Europe, and Asia, the authors propose a comparative energy justice research agenda. They highlight under-explored institutions (federalism, public utility c…
John Vincent Salinas, Aldrin D. Calderon, Jonathan Veran Macayan +1
A systems-oriented review organizing AI applications across solar, hydropower, and wind energy by function: forecasting, optimization, maintenance, and control. Deep learning dominates forecasting, while reinforcement learning and hybrid AI…
Daniel M. Kammen, Mariusz Baranowski, Piotr Jabkowski +1
This study quantifies how scaling EU solar and wind capacity translates into demand for critical minerals. It links gigawatt deployment targets to mineral requirements, highlighting supply-chain and procurement constraints on the energy tra…
Huiting Jing
Using China's 2010 science-and-technology finance pilot as a quasi-natural experiment, this study applies a staggered DID to panel data from 282 prefecture-level cities (2010-2023) to test whether STF accelerates urban low-carbon energy tra…
Sonia Yeh, Christopher Dirzka, Aleksander A. Kondratenko +3
This study builds a governance–Living Lab fit framework linking port governance conditions to four LL pillars: co-creation, real-life setting, iterative learning, and institutional embedding. Comparing two municipally owned Nordic ports—Aal…
Muhammad Chaeroel Ansar, A. Hasyim Asyari Amir Husni
A PRISMA-guided bibliometric and science-mapping review of 201 Scopus publications (2015–2025) on justice and governance in energy transitions. Research leadership remains concentrated in Global North institutions, yet the collaboration net…
Tracey Dodd, Tim Nelson, Harry J. Van Buren
This paper proposes 'remedial stakeholder theory' as a normative framework spotlighting organisational responsibility for historical environmental harms. Using climate change and the energy transition as its case, it argues that energy firm…
Arthur Dela Peña
This study develops SSTAM, an integrated model combining ISO-aligned LCA, triple bottom line indicators, MCDA, scenario and Monte Carlo testing, and socio-technical transition lenses to assess next-generation commercial supersonic aircraft.…
Kompas, Tom, Che, Tuong Nhu, Ha, Pham Van +2
Using a 30-region, 31-sector GTAP energy-trade model, the authors project the energy-mix shift and emissions cuts needed for a sub-2°C pathway to 2100. Global emissions must fall ~40% by 2030 and ~80% by 2050 versus 2019, with coal dropping…
Jiarui Li, Takehiko Murayama, Shigeo Nishikizawa +1
This study models pathways for energy-related industrial CO2 emissions toward carbon neutrality in Shandong, a coal-intensive Chinese province. Using a structural decarbonization and abatement cost framework, it assesses sectoral emission-r…
Jolien Kruit, Haris Zografakis
A legal analysis of maritime decarbonisation through the lens of private law: international conventions, contractual practice and litigation. It examines how contracts and civil litigation, alongside IMO and public regulation, shape shippin…
Cao S.
A study on how Great Britain's electricity transmission network must evolve to meet net-zero targets. Without an abstract, details are limited, but the focus appears to be grid expansion and transmission pathway design under high renewable …
Qinwen Tang, Tianyi Wang, Nan Zhou +1
Combining a Kaya-based emission model with Monte Carlo uncertainty analysis, this study projects operational carbon trajectories for commercial buildings across 16 countries from 2024 to 2060. China's emissions peak around 2033 at 1,150 MtC…
A. O Odesola, R. A. Akinremi, O. J. Adibeli +1
This review synthesizes opportunities, barriers, and policy frameworks for integrating renewable energy technologies (RETs) into maritime and transport decarbonization in developing economies. Drawing on case studies from India, Brazil, Gha…
Giulio Attenni, Youssef Moawad, Novella Bartolini +1
A simulation study using public AWS/Azure infrastructure data, real workload traces, and grid-mix data to test spatial and temporal cloud workload shifting. Spatial shifting cuts FaaS carbon by up to 85%, water ~50%, and land use up to 45%;…
Rajan Saha, Allan Yu, Rashanjot Kaur +1
The authors build a transparent, reproducible pipeline deriving hourly lifecycle grid carbon intensity for ISO New England from public fuel-mix data and emission factors. Using mixed-integer optimization and a provably optimal greedy method…
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