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 21–40 of 847 papers
Zhu Guangyao, Caixia Yang, Yao Xiao +3
This study analyzes the impact of exogenous energy shocks on Guangdong's power system carbon neutrality using a coupled LEAP-NEMO model. Under the COM scenario, emissions peak by 2030 and reach net-zero by 2055. Renewable energy volatility …
Lohansa Weerasinghe, Nadeesha Vithanage, Dinidu Rupasinghe +2
This study analyzes determinants of CO2 emissions in G7 countries using panel and country-specific regressions (1997-2023). Energy consumption is a robust driver; technological innovation reduces emissions at panel level but not consistentl…
Firuz Ahamed Nahid, Pooja Sankhyayan, Abhishek Das +1
This study evaluates power-sector decarbonization pathways for four emerging Asian economies (Bangladesh, Thailand, India, Indonesia) to 2050-2060. Integrating demand-side efficiency and flexibility reduces emissions by 21-40%, boosts jobs …
Ueli Schilt, Pascal M. Vecsei, S Vijayananda +1
This paper presents the District Energy Model (DEM), a Python framework for modeling renewable energy integration and flexibility at district scale. DEM enables modeling, simulation, and optimization of sector-coupled energy systems with lo…
Popp, Alexander, Humpenöder, Florian, Angelkorte, Gerd +47
This paper provides the first multi-model assessment of land-use and AFOLU GHG futures for the CMIP7 scenario generation, using seven IAMs. Weak-policy pathways fail on climate, food, and biodiversity; ambitious mitigation turns land into a…
Grekos D
This study analyzes how EU regulations shape investment in alternative fuel infrastructure for maritime decarbonization, using the Port of Piraeus as a case. It finds that the interaction of FuelEU Maritime, AFIR, EU ETS, and TEN-T drives i…
Schirren, Lukas, Müller, Leander, Al Khourdajie, Alaa +3
This paper argues that decarbonization difficulty in energy-intensive industries is not a property of emissions but of pathways conditioned by interlocking bottlenecks at process, firm, and sector levels. Dominant optimization models collap…
Helen Ganal, Sarah Becker, Sascha Holzhauer +4
This paper presents AgentHomeID, an agent-based model of building stock transformation that explicitly represents owner heterogeneity and investment decisions. Applied to Germany at national, regional, and urban scales, it shows that removi…
Guangnian Xiao, Yaqing Shu
This editorial introduces six papers on maritime decarbonization and ocean-based CO2 removal. Key findings include the effectiveness of carbon taxes in promoting green fuels and the potential lack of net CO2 removal by kelp farming. It emph…
万杨, 邹报, 宋相海 +5
This review systematically organizes recent advances in photocatalytic, thermocatalytic, electrocatalytic, biocatalytic, and synergistic catalytic technologies for plastic waste upcycling. It compares reaction mechanisms, catalyst design st…
Chen Zhang, Rongrong Li, Qiang Wang
This paper examines how geopolitical risks affect the resilience of energy transition, and analyzes the moderating role of artificial intelligence. It suggests that AI technologies can contribute to enhancing the stability of energy systems…
Jianda Wang, Kun Wang, Senmiao Yang
This study distinguishes realized energy transition (RET) from energy transition capacity (ETC) and analyzes their effects on economy-wide employment using panel data from 78 countries. Both positively affect employment but through differen…
Sukhendu Dey, Megha Santra, Apurba Ratan Ghosh +1
This perspective provides an integrated framework linking circular economy principles and low-carbon process engineering for carbon-neutral chemical manufacturing. It evaluates alternative carbon sources (biomass, captured CO2), process int…
Maren Ludwig, Stephen Jarvis
Using appliance ownership and hourly electricity demand data across many countries, this study estimates temperature effects on electricity demand globally. Combining with climate and development projections, it shows that air conditioning …
Olga Janikowska, Agnieszka Generowicz, Joanna Kulczycka
This paper conceptualizes cascading lock-ins in post-mining regions' energy transition, identifying how infrastructural, technological, institutional, and social constraints interact and reinforce each other across domains. Through literatu…
Gordon C. Rausser, Wadim Striełkowski, Lukáš Prokop
This paper proposes a reproducible framework for assessing Positive Energy Districts (PEDs), combining bibliometric and NLP analysis with a PyPSA-compatible linear capacity-expansion and dispatch model and a corrected cost-benefit analysis.…
Frederik, Fristed
This dataset supports a study analyzing the roles of renewable fuels and CCS in net-zero transport and energy systems. It provides input data and results for 37 scenarios using the Balmorel energy system model. Open-source model and data en…
Sikder, Pranta
GETP v1.0 is a harmonized database of realized ascent and descent rates for electricity technologies across 214 countries (1985-2025). It applies a symmetric diagnostic engine to both expanding and contracting trajectories, enabling compari…
Sheng Zhao, Jingran Zhang, Jinyang Lu +6
This study compares four routes for green methanol production from biomass and renewable power, revealing trade-offs in carbon use, energy efficiency, emissions, and cost. Hydrogen-integrated gasification achieves 92% carbon utilization and…
Bowen Tian, Pei Zhao, Min Liu +11
This study analyzes the interaction between V2G and time-of-use pricing using a unit commitment model of the 2030 Jing-Jin-Tang grid with Bayesian optimization. It finds that current static tariffs incentivize EV discharge during midday sol…
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