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 5986 papers
Sihite, Amos Parlemen Zepanya, Tohirin, Ahmad, Wilandari, Angestika +17
Companion dataset for a systematic review synthesizing 13 studies on just energy transition governance in developing countries. It organizes evidence across governance coherence, distributional and procedural justice, workforce reskilling, …
Kim, Hanwoong, Peng, Wei, Loughlin, Dan
Using GCAM, the authors simulate 128 scenarios combining global and domestic drivers to assess U.S. LNG export futures. U.S. LNG exports in 2050 range fourfold (8-34 Tcf/yr), exceeding variation in global gas demand and LNG trade. CART anal…
Lyon, Richard
A technical note models two supply bills for Britain's electricity each year 2002–2024: the actual system versus a counterfactual 2002 trajectory with no carbon price. The modelled net-zero cost gap is £140.3bn (£5,298 per household), rangi…
Madhuri Kumari
This study compares two Indian steelmakers: SAIL's Bokaro plant, reliant on blast furnaces emitting ~2.46 tCO2 per tonne of crude steel with heavy local pollution, versus Jindal Steel & Power, which uses DRI and coal gasification and is tes…
Weiguang Cai, Jiachun Li, Chengcheng Zhu
Using China's electricity spot market pilot as a quasi-natural experiment and a triple-difference design, this study examines effects on ESG performance in energy-intensive listed firms. Spot trading significantly improves ESG via better re…
Feifan Guo, Qixin Hu, Yupeng Zhang +3
This study decomposes carbon emissions across 30 Chinese provinces grouped into six regions (2000–2023) using LMDI, and assesses decoupling from economic growth via the Tapio model. A STIRPAT-ridge regression projects emissions to 2038 unde…
Sungmun Yoon, Kang-wook Cho, Soojin Park
This study analyzes the techno-economic performance and sustainability indicators of microgrids combining small modular reactors (SMRs) with renewables to achieve 24/7 carbon-free energy (CFE) matching for data centers. It evaluates how fir…
Manyu Wang, 谢伦裕
This study empirically examines how households participate in China's Clean Heating Program and whether clean energy use is sustained over time. It assesses how policy interventions shape household fuel-switching behavior and continued adop…
Jia Chen, Sophia Grace
Using monthly 2013–2023 data and a NARDL framework, this study finds asymmetric effects of AI development and climate policy uncertainty (CPU) on renewable energy transition. Negative AI shocks harm renewable performance more persistently t…
Yuri Rommel Vieira Araújo, Mónica Carvalho, Bartolomeu Israel de Souza +1
This LCA quantifies 10-year GHG emissions from transporting urban tree-pruning residues across five municipalities in Brazil's João Pessoa metro region. Transport dominates the waste chain; switching to biodiesel plus local reuse cutting tr…
Jose A. Ordonez, Matthias Weitzel, Camille Van der Vorst +1
This Comment reframes energy security around how energy systems transmit price shocks to the wider economy. Unlike fossil fuels, low-carbon technologies dampen this transmission, thereby buffering economic impacts of supply crises. It argue…
Zakka Barnabas, Chimen Sabo Jamous
A study comparing three dispatch schedules (economic, emission-weighted, and equal-weight) across 21 Nigerian thermal stations. Emission-oriented dispatch cuts CO2 by 4.607% at a 4.483% fuel-cost increase, with emissions highly concentrated…
Arthauli Claudya Agnescia Ambarita, Chaeranny Ratna Syafira Aslam, Dava Salsabila +2
A qualitative study framing Indonesia's energy transition as a social, cultural and ethical process, not merely a technical one. Combining literature review, content analysis and interviews, it identifies four themes: the gap between societ…
Jerzy Łabaj, Agnieszka Fornalczyk, Róbert Findorák +4
This study explores using fruit seed/stone biomass as a substitute for coal in reducing copper-bearing metallurgical slag. Gibbs free enthalpy analysis and pyrometallurgical tests at 1300°C over 1–5 hours assessed Cu and Pb removal efficien…
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…
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