This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 1–20 of 19140 papers
Kokubu, Hiroyuki
This dataset release analyzes the CDP corporate questionnaire (Module 7) as an institutional computation device, modeling 2,958 datapoints across 2024-2026 cycles. Each datapoint is classified on three axes (Substance, Narrative, Enforceabi…
Yixiang Li, Yongqing Bai, Zhengchao Chen
FineKarstAGB is a 30-meter resolution aboveground biomass dataset for karst regions in Southwest China, generated using deep learning with sub-meter satellite imagery and national forest inventory data. Validated against independent plots a…
Martyn N. Futter, Mike Peacock, Emma E. Lannergård +5
Over three years, 40 Swedish constructed agricultural wetlands were monitored for water chemistry, dissolved GHGs, methane emissions, and sediment properties. Inlet phosphorus correlated positively with dissolved methane, revealing a tradeo…
Mei Wang, Qiongyi Qiu, Yu Gong +5
This paper examines the effects of shrimp-rice co-culture on greenhouse gas emissions from shrimp pond water surfaces and its mechanisms. It suggests potential emission reductions, contributing to sustainable aquaculture.
Lagomarsino Alessandra, Fantappiè Maria, Becagli Claudia +6
This study examines long-term effects of maize cropping systems and tillage intensity on greenhouse gas emissions and soil organic carbon. It provides insights into carbon sequestration and emission reduction potential in agriculture, contr…
Riadh M. Habour, Mohammad Sameti, Cheikh R. Bernaoui +5
This paper presents least-cost optimal scenarios for achieving a net-zero energy system, quantitatively evaluating the integration of battery energy storage, hydrogen storage, and carbon capture and storage. It analyzes technology choices a…
Gašper Stegnar, Jure Čižman, Tadej Bevk +2
This paper proposes a building-level framework to assess rooftop solar deployment constraints in heritage-protected areas. It offers a quantitative method to balance urban decarbonization goals with cultural heritage conservation, providing…
Ece Özer, Lukas Kranzl, Andreas Müller +5
This paper compares the roles of electrification and renovation in decarbonizing the EU building sector using multiple energy system models. It assesses model result variations and provides insights for policy design.
Mol A.P.J.
This paper analyzes the role of sustainability certification in global agro-food value chains, focusing on the interplay between markets and certification. It examines how certification affects market access and transaction conditions, ques…
Olindo R.
This paper addresses life cycle assessments (LCA) of battery electric vehicles (BEV) and electrolytic hydrogen, highlighting the need for improved calculation rules and databases on electricity. It argues that accurate assessments require d…
Lezhniuk P.
This paper proposes a method to estimate the share of renewable energy in a given consumer's electricity consumption. It offers a quantitative approach to tracking renewable energy usage, which can support corporate renewable procurement an…
Trivella A.
This paper examines how companies can meet their renewable energy targets, likely focusing on procurement strategies and challenges. Specific findings are unclear due to lack of abstract.
Marchbank S.
This paper analyzes field-scale dispersion between hydrogen and cushion gas in underground hydrogen storage (UHS) and its correlation with gravity segregation. It provides insights for maintaining hydrogen purity and improving recovery effi…
Gupta V.
This paper proposes a multistage stochastic programming model for offshore oilfield infrastructure planning under production sharing agreements and endogenous uncertainties. It analyzes the impact of contractual terms and decision flexibili…
Harati S.
This paper examines underground hydrogen storage in deep saline aquifers to balance seasonal energy demand, focusing on how well configuration affects storage performance. It provides insights into optimizing well design for efficient hydro…
Harati S.
This paper proposes a multi-criteria decision-making workflow for selecting suitable sites for geological storage of hydrogen in depleted gas fields, using the UK as a case study. It integrates geological, engineering, economic, and social …
Bjørn A.
This paper clarifies issues of deliverability, additionality, and double counting in renewable energy certificates (RECs) to improve Scope 2 emissions accounting. It enhances the reliability of corporate GHG reporting under the GHG Protocol…
Woody M.
This paper optimizes future costs and emissions of electric delivery vehicles, providing decision support for fleet operators to balance economic and environmental performance.
Kayacık S.E.
This paper proposes a multi-period optimal power flow (OPF) problem that incorporates electric vehicle (EV) charging demand, quantifying both cost and emission benefits. It demonstrates that flexible EV charging scheduling can improve grid …
Borsi I.
This paper proposes a well deliverability model for non-Darcian flow in geothermal reservoirs, contributing to efficient geothermal energy development and supporting renewable energy expansion.
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