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 641–660 of 1009 papers
B. L. Pereira, Caio Teixeira de Carvalho, L. F. Assis +3
This study evaluates the technical, economic, and environmental potential of waste heat recovery (WHR) systems on ships with main engine power above and below 25,000 kW. Using thermodynamic analysis and simulations on four vessels, it finds…
K. Abhiroop, Shameem Basheer Mohammed
This paper proposes EEDI baselines for inland cargo vessels by analyzing data from 441 Indian inland ships, revealing discrepancies between actual and design data. It also assesses the impact of biofouling on energy efficiency and explores …
G. Finger, M. Gluch, M. Baldauf +3
This paper presents a simulation-based framework for optimizing energy demand during ship maneuvering. It integrates real-time ship motion simulation, thermodynamic engine modeling, and hybrid data exchange via FMU/FMI. Validated through a …
Gunawan
This study applies the Artificial Bee Colony (ABC) algorithm to the Capacitated Vehicle Routing Problem (CVRP) for optimizing sea toll routes in Indonesia. Analyzing 7 routes from Tanjung Perak Port, Surabaya, results show total distance re…
Brandon X. Lum, R. Lee, Clarence T. Peck +2
This paper develops a methodology for improving carbon efficiency in healthcare systems, focusing on energy use and operational processes to reduce emissions and costs. The specific methods or case studies are unclear, but it likely provide…
Andrej Senegačnik, Martina Zbašnik Senegačnik
In the context of the European Green Deal, this paper argues that reducing energy demand is more effective than increasing renewable supply. A case study of a passive wooden house in Ljubljana, Slovenia, shows heating demand below 15 kWh/m²…
Mimoza Dugolli
This study evaluates retrofits of approximately 400 public buildings in Kosovo, quantifying reductions in GHG emissions, primary energy consumption, and environmental benefits. It also assesses climate vulnerability and risk, proposing miti…
Qiongyao Ren, Tao XU, Dan Qiao
This study examines how social capital and low-carbon cognition influence rural residents' willingness to adopt housing retrofits for decarbonization. Findings highlight the importance of community bonds and environmental awareness in drivi…
Harshul Singhal, Ali Badiei
This paper presents a utility-calibrated whole-building simulation of a London restaurant (655.82 m²) using OpenStudio/EnergyPlus. Scenarios including insulation, glazing, LED lighting, heat pumps, and PV were tested, achieving up to 24% re…
Yuhang Zhang, Xiaoqing Fang, Wenqiang Sun
Proposes optimization of production pathways for automotive steels to minimize carbon footprint. Focuses on balancing efficiency and emission reduction in manufacturing.
Shibo Liu, Shiyi Shi, Hailong Cui +1
This study proposes a Nash bargaining-based coordinated scheduling method for wastewater treatment plants, power networks, and water distribution networks to achieve low-carbon operations and sustainable development, balancing multiple obje…
Thouraya Salem, Teddy Fen-Chong
This study optimizes cement-wood biochar mortar by adjusting superplasticizer dosage and water-to-binder ratio. At 10 wt% biochar and 0.44 w/b, compressive strength improved while CO2 emissions decreased by 15% per m³. The strength-to-cost-…
Corradino Sposato, Tiziana Cardinale, Andrea Feo +2
This study develops two bioaerated low-density composites (BAAC and BIOAERMAC) using industrial byproducts, and characterizes their hygrothermal behavior and dimensional stability. Compared to conventional autoclaved aerated concrete, they …
Hai Hong Trinh, Haitham Nobanee, Thao Tran
Using comprehensive panel data from IEA member countries, this study examines the effects of energy technology RD&D budgets on energy efficiency during uncertainty episodes. It finds that technological innovation consistently reduces energy…
Anel A. Umbetova, Zhandos Kegenbekov
This paper analyzes and systematizes modern approaches to reducing the carbon footprint of warehouse processes, which are energy-intensive and contribute significantly to greenhouse gas emissions. It examines layout optimization, energy-eff…
Akram Ahmed Noman Alabsi, Tangsheng Cai, Yaqian Xu +6
This study proposes a framework for converting idle rural buildings into Green Rural Centers (GRCs) in Fujian, China. Retrofitting can reduce operational energy demand by 50–70% and embodied carbon by ≥40% versus new construction. Retrofitt…
Hongzhi Liang, Kai Wang, Junhao Zhao +6
This paper addresses modeling and performance optimization technologies for marine engines aimed at low-carbon shipping. It proposes simulation and optimization methods to improve engine efficiency and reduce emissions, contributing to deca…
Audrey Asante, Christian Koranteng, Barbara Simons +2
This systematic review analyzes barriers and enablers for zero energy building (ZEB) adoption in Africa. It identifies opportunities through climate-responsive designs and decentralized renewables, and proposes a contextualized framework co…
Shahid Ali, Haseeb Anwar, Sakiru Adebola Solarin +1
This study examines the impact of energy productivity on both consumption-based and production-based CO2 emissions in BRICS economies from 1990 to 2023 using quantile regression. Results show that energy productivity reduces both types of e…
Sophia N. Wilson, Sebastian Mair, Mophat Okinyi +3
This paper analyzes how hyper-datafication in frontier AI escalates sustainability costs, particularly energy consumption and carbon emissions. It examines the environmental footprint of large-scale AI models and data centers, and proposes …
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