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 421–440 of 841 papers
Trencher G.
This paper compares the net-zero transition pathways of major oil companies BP, Shell, Chevron, and ExxonMobil, assessing the ambition and feasibility of their strategies. It evaluates alignment with Paris Agreement goals and provides insig…
Srishti Agarwal, Shivam Tyagi, Jyoti Shakya +5
This study develops C-MoS2 nanocomposites from sugarcane bagasse-derived activated carbon and MoS2 via a one-step hydrothermal process. The solid-state supercapacitor achieves a high specific capacitance of 465.87 F/g, energy density of 32.…
Vincent F. Yu, Abhijit Bera, Rupantar Das +1
This study proposes a multi-objective fixed-charge transportation model under type-2 neutrosophic uncertainty, optimizing cost, time, and deterioration while integrating carbon cap and offset policies. Numerical experiments show fuzzy appro…
Martina Ferrando, Francesco Causone
This perspective paper critically reviews the evolution of Urban Building Energy Modelling (UBEM) and proposes a goal-oriented classification based on final objectives rather than calculation methods. It identifies three key gaps: lack of s…
Matteo Giacomo Prina, Michel Noussan
This paper proposes a comprehensive framework to classify challenges in bottom-up energy system models into three pillars: accuracy, robustness, and comprehensibility. Based on literature synthesis, it analyzes dimensions such as temporal, …
Lu, Hongyou
CAST is a bottom-up techno-economic model for estimating itemized production costs of iron and steelmaking technologies. It covers main processes from ironmaking to steelmaking, allowing users to quantify costs with blends of hot metal, DRI…
Nelson, Priscilla P.
This essay argues that measuring mining decarbonization via emissions intensity can mask a linear system. It distinguishes circularity into four loops, each capable of stagnating independently of carbon reductions. It cautions that circular…
Anderson J.J.
This paper analyzes the role of fossil fuels in achieving power sector net-zero targets and the impact of carbon sequestration tax credits. It suggests that tax credits can incentivize CCS deployment and reduce abatement costs, offering ins…
LEI GAO
Focusing on cruise ships' high port-call energy demand, this thesis proposes a 'Dual-Track' energy hub model to bridge shore power and fuel gaps. Case studies in Genoa and Shanghai integrate renewables (VAWT, wave energy, floating solar) in…
Mikael Johnson
Energy transitions depend on coordination across interdependent actors, infrastructures, and practices, yet governance remains oriented toward linear responsibility and asset-based performance, leading to persistent coordination failures. T…
Giovanni Carrosio
This paper proposes the concept of 'ecological citizenship zones' that integrate people-based (individual behavior change) and place-based (local infrastructure) approaches to energy and mobility transitions. It emphasizes the importance of…
Chapel, Capucine
This chapter examines the economic impacts of electrification as a key component of the energy transition, using literature review and statistical analyses. It covers macroeconomic effects on energy security, employment, and growth, and mic…
Beck HP
This study evaluates the energy return on investment (EROI) of firming weather-dependent renewables in a Central European mix of 80% wind and 20% solar. Expanding the system boundary to include grids, storage, and backup reduces EROI from 1…
Agrawal, Rakesh Kumar
This book presents the BQEB framework, integrating AI, forecasting, optimization, validation, and future energy architectures. Across 20 chapters, it covers data foundations, forecasting methods, optimization, digital twins, and intelligent…
Wei-Qiang Chen, Jing Tang, Dungang Gu +6
This study models the spatiotemporal carbon footprint of China's electricity sector to reveal regional and temporal decarbonization trajectories. By capturing variations in grid carbon intensity, it assesses the impact of renewable energy d…
SEYEDARASH AGHILI, Mehmet Nurettin Uğural
This paper challenges the conventional 'fabric-first' paradigm by presenting whole-life carbon evidence from industrial buildings, highlighting a 'carbon cliff' that necessitates a rethinking of design and retrofit strategies. It emphasizes…
Pippa Edwards, Sébastien Dhers, Rupert J. Myers
This study uses LCA to evaluate the impact of admixtures on the carbon footprint and performance of LC3 concrete. LC3-50 and LC3-35 reduce CO2 emissions by 22-38% compared to CEM II/A-LL, with admixtures contributing 13% of emissions. Optim…
Afshin Nazari, Pourya Pourhejazy
This review systematically maps co-optimization methods for energy storage placement, highlighting interactions with sizing, scheduling, and technology selection. It identifies investment cost and profitability as central objectives, and po…
Georgios Pardalis, Katharina Reindl, Jenny Palm
This study examines how consultants become structurally embedded in public energy governance, using Sweden's energy transition as a case. Based on 60 interviews and a system-dynamics approach, it identifies six feedback mechanisms that can …
Rehman S, Kazouz H, Subhan M
This study analyzes connectedness among Heavy Rare Earth Metals (HREMs), Light Rare Earth Metals (LREMs), and Rare Earth Processing Materials (REPMs) in China's rare earth value chain using a Quantile-on-Quantile Connectedness framework. It…
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