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 321–340 of 4285 papers
Cheng-Xuan Yu, Martin Mildner, Robert Černý +1
This study develops a parameterized LCA inventory for metakaolin production, showing carbon footprints ranging from 34 to 578 kg CO2e/t across 648 scenarios. Fuel choice is the main driver, and variability propagates to LC3 cement and geopo…
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…
Flores, Ricardo, Sánchez-Squella, Antonio, Barrueto, Aldo +3
This study compares three control strategies for green hydrogen production in off-grid photovoltaic systems: cascaded PI, input-output feedback linearization, and passivity-based control. The dataset includes system parameters, time series,…
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…
Yang P, Wang T, Liu C +2
This paper proposes a carbon emission flow tracking framework embedding node carbon intensity (NCI) into demand response for integrated energy systems, enabling load-side carbon responsibility allocation. A bi-level optimization coordinates…
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…
Makridis G, Separdani MM
This paper evaluates methanol's decarbonization value under IMO CII, FuelEU Maritime, and EU ETS regulatory accounting frameworks. Analyzing 2024 THETIS-MRV data, it finds fossil methanol is costlier and more carbon-intensive than VLSFO and…
Di Foggia G, Beccarello M, Jammeh B
This study examines the EU ETS's role in power sector decarbonization using panel econometrics, a firm survey, and market analysis. It finds that subsidies and regulatory stability drive renewable capacity expansion more than carbon prices,…
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…
Steinhauser, Jan, Riahi, Keywan, Sengupta, Sreyam +9
This study uses an integrated modeling framework to explore synergies and trade-offs between biodiversity conservation and climate mitigation. It finds that sustainable bioenergy potential compatible with ambitious biodiversity targets is b…
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…
Rui Lu
Proposes request-level carbon accounting for AI inference, considering service boundaries, routes, and electricity sources. Public-data implementation reduces median absolute percentage error by 56.3% vs EcoLogits.
Filiz Mızrak, Umut Elbir
This study develops a reliability-aware Bayesian framework to assess readiness for digital-twin-enabled smart-energy systems across 20 major international airports. Using 15 capability indicators in four domains plus an auxiliary transparen…
Yongjing Gao, Norman Mohd Saleh, Jie Xu +2
This study examines how CEO power affects corporate climate risk disclosure (CCRD) and the moderating role of institutional pressures. Using panel data from Chinese A-share listed firms (2010-2024), it finds that powerful CEOs are associate…
Shigeyuki Hamori
This paper analyzes risk transmission between brown and green energy equity markets during the energy transition using a quantile-frequency framework. It finds that connectedness is state- and horizon-dependent, with physical climate risk r…
Shan Tang, C. Ding, Abdullahi D. Ahmed
Using Chinese A-share firms, this study shows high-quality climate risk disclosure increases institutional on-site research frequency and depth. Mechanism analysis reveals reputational compensation and information guidance effects, with tra…
Trent Jacobs
This article explains why commercial-scale CO2-EOR remains difficult, citing Occidental's DAC project delays, ExxonMobil's pipeline plans, and examples from Petrobras and Oman. Barriers include technical challenges, high costs, lack of gove…
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