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 6361–6380 of 32270 papers
Zhao N.
This study demonstrates that co-incorporating green manure and crop straw in a crop rotation can enhance crop productivity, improve soil quality, and reduce greenhouse gas emissions, highlighting a pathway for climate mitigation and sustain…
Amirgholy M.
This paper provides a predictive analysis of greenhouse gas (GHG) emissions from electric vehicle (EV) charging in the United States. It considers grid emission factors and charging patterns to quantitatively assess the emission reduction p…
Clay B.
This study assesses the environmental impact of free flap reconstruction procedures in the UK, quantifying carbon emissions from surgical processes. It provides concrete data to support decarbonization efforts in the healthcare sector.
Geng Y.
This bibliometric review analyzes research trends on energy consumption and greenhouse gas emissions in the residential sector, identifying key themes and future research directions for decarbonizing housing.
Ritter K.
This guideline provides a framework for voluntary greenhouse gas emission reduction projects in the oil and natural gas industry. It outlines principles for project design, implementation, and verification, aiming to promote industry-led em…
von Rosing M.
This material explains practical steps for companies to classify GHG emissions into Scope 1, 2, and 3, set reduction targets, and implement measures. It focuses on concrete reduction actions and implementation approaches to support corporat…
Migo-Sumagang M.V.
This paper proposes a graphical technique for net-zero emissions planning based on marginal abatement cost (MAC) curves. MAC curves are a common tool for comparing the cost-effectiveness of different abatement options, and this method integ…
Efthymiadou M.E.
This paper proposes an optimal planning method for hydrogen infrastructure to decarbonize heat demand. It derives infrastructure deployment considering costs and emission reduction effects, tailored to regional characteristics. The findings…
Migo-Sumagang M.V.
This paper proposes a multi-period automated targeting and optimisation approach for achieving net zero goals. It provides a methodology for efficiently planning emission reduction pathways in energy systems and industrial processes, applic…
Migo-Sumagang M.V.
This paper proposes algebraic and automated targeting techniques based on marginal abatement cost curves for planning carbon dioxide removal (CDR) deployment. It enables cost-effective CDR portfolio design, supporting investment decisions f…
Dai M.
This paper compares country-specific net-zero strategies in the pulp and paper industry, highlighting differences in policy and technology pathways and offering insights for decarbonization.
Suwega Drestantiarto, Dewi Hanggraeni, Indra Kusumawardhana
This study examines the impact of global uncertainty and Enterprise Risk Management (ERM) on financial performance (ROA) and firm value (Tobin's Q), with ESG as a moderator, using panel data from 36 Indonesian energy firms (2019-2024). Fixe…
E. Elbeltagi, Aboelkasim Diab, Ammar Younes
This review systematically organizes circular economy strategies for sustainable management of concrete waste in the construction and demolition sector. It compares strategies such as waste reduction, reuse, and recycling, examining their p…
O. Mawahib, W. Wibowo
Using panel data from ASEAN electric utilities (2015-2024), this study finds that green finance (loans and bonds) significantly reduces emission intensity, but high leverage weakens this effect while strong investment returns enhance it. ES…
Ali Nawaz, Chiwei Su
This paper examines the impact of ESG uncertainty on green bond market growth using bootstrap rolling-window causality and quantile-on-quantile regression. It finds that heightened ESG uncertainty erodes the informational value of green bon…
Weiran Chen, Xinyu Zhao, V. Dinavahi
This paper proposes a framework for real-time co-simulation of nuclear (SMR) and renewable energy systems for clean hydrogen production. It develops an adaptive method for selecting optimal time-steps across heterogeneous physical domains, …
Meng-Jia Zhuge, Jun Liu, Jun Xu +2
This paper proposes a dynamic pricing and day-ahead scheduling method for green hydrogen production directly connected to renewable power, considering electricity spot prices. It optimizes both hydrogen price and production schedule to bala…
Boyu Liu, Ahmed S. Musleh, Guo Chen +3
This paper proposes a two-stage optimization model for scheduling hydrogen carrier vessels (HCV) and island hybrid energy systems, integrating green hydrogen production, storage, and distribution. The first stage uses scenario-based stochas…
Ayuba John Buba, Isaac John Ibanga
This scoping review (2020-2025) examines maritime decarbonization as a socio-technical transition, analyzing alternative fuels, energy efficiency, electrification, and digital optimization. It highlights trade-offs between technological mat…
Sara Sghiouri, Mohamed Bezza, H. Sabir +2
This review systematically organizes AI applications in wind turbine predictive maintenance, highlighting their potential to improve reliability and reduce costs in the transition to low-emission energy. AI-based fault prediction enhances w…
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