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 11721–11740 of 29599 papers
Eric Nost
This commentary examines 'digital natures'—digitized virtualizations of wildlife and ecosystems, from GPS-based exercise apps to social media images. It argues that these digital representations reshape human-animal relations, yet are mater…
Spatiotemporal distribution characteristics of clear-sky downward surface shortwave radiation in Xinjiang Postprint
HUANG Guan, Yonghang Chen, WANG Pengtao +5
Xinjiang, China has abundant solar radiation resources for clean energy development. This study evaluates the applicability of the CERES SSF downward surface shortwave radiation product under clear-sky conditions and characterizes its spati…
Aliakbar Rezazadeh, Akram Avami
This study develops a bi-level integrated assessment model for optimal carbon pricing that internalizes human health costs from air pollution and climate change in urban energy systems. Using SSP/RCP scenarios and a regional climate model, …
Richard J. Kish
This viewpoint questions whether EVs deserve their green reputation, citing five issues: non-green electricity sources, battery production/recycling impacts, subsidy regressivity, charging infrastructure gaps, and superior alternatives. US …
(Chengdu Documentation and Information Center, Chinese Academy of Sciences)
This paper examines the EU's bio-based research and innovation system, focusing on how renewable resources (agricultural residues, organic waste) are transformed into green chemicals and energy. It analyzes strategic policies and innovation…
Ma Aihua Li Lei Shi He
This paper proposes a modeling methodology for photovoltaic (PV) cells and an improved Perturb and Observe (P&O) MPPT algorithm with variable step size. The enhanced method overcomes limitations of conventional P&O under varying distance fr…
Article
This study develops day-ahead generation scheduling and spot market clearing models that incorporate wind power uncertainty and fast start-stop units with discrete decision variables. The proposed optimization approach supports economical a…
Liu Xinyu, Xin Huanhai, Zheng Di +4
This paper proposes a quantitative method for assessing transient overvoltage risk during fault recovery in renewable energy multi-station systems, incorporating reactive power saturation characteristics. It introduces indicators to evaluat…
Wang Siyuan**<sup>1,2</sup>, **Wu Wenchuan**<sup>1,2</sup>
As high shares of renewable energy increase grid volatility and uncertainty, this paper proposes a quantitative framework for assessing the regulation capability of aggregated flexible resources. It develops a reference model and indicator …
Xin Huanhai, Wang Yuxuan, Liu Chenxi +5
This paper examines how large-scale renewable integration reduces grid short-circuit ratio and voltage support strength, causing static voltage stability issues and sub/super-synchronous oscillations. It shows that configuring grid-forming …
Zhixiong Li, Atilla Incecik, Andrzej Cichon +4
This paper reviews current developments in solar, wind, and fuel cell technologies for marine power systems, and examines the benefits of sustainable hybrid ship design through a case study. It highlights the potential and challenges of int…
Angela Romano, Daniela Tocchi, Fiore Tinessa +2
This case study reconstructs a full year of freight transport for a small-medium retail cooperative in Campania, Italy, and calculates tank-to-wheel CO2 emissions using COPERT. Rather than limiting accounting to store premises, it quantifie…
Andrea Rosati
This paper outlines principles for AI application in livestock farming, highlighting gains in efficiency, animal welfare, and resource optimization that reduce environmental impact, while noting barriers such as data scarcity, ethical conce…
YANG Qingchao, BAI Xiaodong, GAO Yongxin, KONG Fan
This study analyzes the structural dynamic response and load prediction of NREL 5MW monopile offshore wind turbines under long-period marine seismic excitations, providing insights for seismic safety assessment of larger and deeper offshore…
Gianmarco Bressanelli, Giorgio Lombardi, Nicola Saccani
This paper proposes an allocation-based method to derive supplier-specific emission factors from organizational carbon footprints, reducing the cost and burden of detailed LCAs for Scope 3 accounting. Tested in the ceramic industry, the app…
YANG Tianrun SUN Qie WENNERSTEN Ronald CHENG Lin
This paper reviews phase change cold storage materials with solid-liquid transition points below 20°C, classifying and comparing commercially available and well-researched materials and their thermophysical parameters. It highlights their h…
Molecular dynamics simulation of heat transfer during liquid hydrogen boiling on surfaces at the nanoscale*
Xiao-Jia Li <sup>1,2</sup> He-Ying Chen,<sup>1,2</sup> Yi-Zheng Sun,<sup>1,3</sup> and Zhi-Chun Fan<sup>1,3,†</sup>
Liquid hydrogen is attracting attention for its high energy density and environmental friendliness, requiring an understanding of its boiling heat transfer. This study uses molecular dynamics simulations to investigate vaporization nucleati…
Shilpa Gopal, Mathew Thomas Gil, Nikhil Singh +2
Surveys 372 Indian college students to analyze how social norms, personal norms, and environmental awareness influence acceptance of green hostel buildings. Using PLS-SEM, it finds that intention to act mediates the relationship, and educat…
Xia Jingquan, Shen Xianda, Zhang Fengshou
This study investigates the distinctive flow phenomena, particularly fingering, that occur during hydrogen transport in porous media for underground hydrogen storage. The authors analyze how hydrogen's low density, low viscosity, and high d…
Liu, Tianjiao
This study proposes a Carbon Footprint Management Platform (CFMPABT) integrating blockchain and IoT to ensure transparency and trust in supply chain carbon data. IoT sensors collect real-time emission data, while blockchain provides immutab…
Browse by Topic