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 1161–1180 of 5761 papers
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This special issue explores carbon-neutral pathways for urban buildings across their full life cycle. It covers sustainable heritage buildings, distributed energy systems, passive building wind environment optimization, and low-carbon consu…
Meghan Lewis, Monica Huang, Stephanie Carlisle +1
An introductory guide for architects on embodied carbon—the GHG emissions from materials over a building's full life cycle. It argues that operational efficiency and electrification are insufficient; tackling embodied carbon is essential to…
Xiaoshun Zhang, Chundi Wang, Zhengxun Guo +1
This paper proposes a Stackelberg bi-level optimization framework for low-carbon grid-load interaction, integrating multi-objective demand response of energy-intensive enterprises. DCEF (likely carbon emission factor) drives the coordinatio…
Yu-Chen Chou, Priskila A. Diankristanti, I‐Son Ng
This study reports that low-cost monosodium glutamate (MSG) rewires nitrogen metabolism in cyanobacteria, enhancing carbon capture and biomass production. It offers a cost-effective strategy to improve biomass yields for biofuel and bioprod…
Bo Zhang, Shengnan Hou, Hongmei Li
Using panel data from 30 Chinese provinces (2011-2023), this study shows that digital economy development significantly reduces carbon emission intensity. Industrial upgrading amplifies this effect, and the reduction strengthens after cross…
Sachinkumar N Sarangamath, Priya Guhamagadi
Using panel data from 50 emerging markets (2000-2023), this study finds that FDI inflows significantly increase renewable energy share and per-capita installed capacity while reducing carbon intensity of GDP. The effect is stronger in count…
Victor Chima Onwuchekwa
This study proposes a low-carbon design framework for naval bases, using Nigeria's NNS Pathfinder as a case study. It integrates renewable energy (solar PV, wind-assisted ships), sustainable transport (electric taxis, cycling), and low-embo…
Mengqi Xie, Qichang Ma, Xiang Chen
This paper systematically reviews the evolution of the energy security concept in the context of low-carbon transitions, highlighting regional divergences and emerging research trends. It offers an integrated perspective on energy policy an…
Roberta Botinha, Frank N. H. Schrama, Inge Bellemans +2
As the steel industry decarbonizes and increases circularity, scrap use rises, making chromium control in low-carbon steelmaking challenging. This review synthesizes thermodynamics, slag structure, and kinetics to explain chromium distribut…
Gengrui Chen, Hui Hongxun, GAO Hongjun +2
This paper reviews how industrial users can support the low-carbon transition of power systems through process reconfiguration. It analyzes flexibility mechanisms in steel, electrolytic aluminum, and cement industries, and proposes a three-…
Adel Ben Youssef, Mounir Dahmani, Davide La Torre
This study evaluates the efficiency of green finance and energy transition policies in OECD countries using an integrated MCDA and SHAP approach. It provides insights for policy prioritization and efficiency improvement.
Elena Timofeeva, Arne Surmann, Patrick Selzam +3
This study simulates a reference urban energy community (rooftop PV, batteries, EVs, heat pumps) across 16 scenarios under four European regulatory frameworks. PV capacity is the main driver of energy autonomy (16.3-30.8% of demand), optimi…
Norah H. Almousa, Khawla M. Almalahi, Khulud A. Abuhaimed +3
This paper comprehensively reviews advanced thermochemical and catalytic conversion technologies for producing biofuels and biochemicals from lignocellulosic biomass. It compares pyrolysis, gasification, and hydrothermal liquefaction, highl…
Rima Das, Shubham Chaudhary, Abhishek Pandey +2
This chapter analyzes challenges of energy security and low-carbon transition in urban areas, proposing integration of renewable energy, smart grids, microgrids, and IoT/data-driven technologies. It discusses regulatory barriers, socioecono…
Shalini Bhattacharyya, Rameshpathy Manian
This review provides a chronological overview of biofuels' development and innovations, highlighting the necessity of energy transition via Hubbert Peak Theory and fossil fuel depletion. Using a PRISMA 2020-guided systematic framework integ…
Mantel N
This paper argues that exogenous cost reduction in energy system models misses deployment-cost feedback, hiding nonlinear policy dynamics. Using a stylized Great Britain power system, it identifies a battery subsidy threshold (~£513/kW) whe…
Li H, Wu J
This study proposes a HEFA-PG process integrating combined heat and power into the conventional HEFA route for waste oil-to-SAF production, and compares environmental performance via LCA. Under grid decarbonization and green hydrogen scenar…
Mantegna, Gabriel
This archive provides data and code to reproduce the uncertainty-aware capacity expansion model for California's grid planning. It includes instructions to run deterministic and three adaptive robust optimization cases, plus 312 stress test…
Zabala, Laura, Arandia, Nerea, Osorio García, Andoni +8
This deliverable details the development of energy asset simulation models and Model Predictive Control (MPC) algorithms for optimized control of local energy systems within the FEDECOM project. It covers three pilot sites: green hydrogen, …
Preeti Manke, Dr. Sourabh Rungta, Dr. Satyadharma Bharti +1
This paper proposes a novel load forecasting model based on Graph Q Networks (GQNs) to address the challenges of modern power grids with high renewable integration. The model achieves superior accuracy (MAPE 1.2%, RMSE 0.8 MW) compared to e…
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