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 15061–15080 of 31675 papers
Ryś-Jurek R
This study analyzes how much renewable energy production covers energy costs in EU family farms using FSDN data (2014-2023). The Energy Cost Coverage Ratio remained between 30.9% and 39.2% despite a rise in renewable output, as energy costs…
Emezirinwune M, Babatunde O, Olanrewaju O
This study uses HOMER Pro to perform least-cost sizing and resource availability sensitivity analysis for a hybrid PV-wind-battery-hydrogen system under four climate-resource scenarios. Four system layouts are compared; the PV-wind-battery-…
Johannes TR, Kabeya M, Ngongoma MSP
This paper compares conventional and strategic PWM shoot-through placement for Z-source inverters in renewable energy applications. The proposed Modified Maximum Boost Control (MMBC) reduces voltage THD from 4.05% to 1.69% at the cost of lo…
Orozco Bañol S, Escobar Mejía A, Cárdenas Peña DA
This paper proposes a methodology for physically validating and optimally sizing grid-connected PV systems to estimate firm energy for the reliability charge (ENFICC) under the Colombian framework. It integrates NASA POWER meteorological da…
Mogire E
This bibliometric review analyzes 165 publications (2000-2026) on electric motorcycle adoption. It finds a shift from battery technology toward user behavior and sustainable mobility, highlighting research gaps in governance, renewable ener…
wang J, Chen L, Tu M +1
This study investigates the technological evolution and sustainability implications of geothermal energy systems within the global energy transition. Using bibliometric and main path analysis, it systematically traces knowledge diffusion an…
Lv Q, Ma X, Lv J
This paper extends a decentralized closed-loop supply chain model for household plastic waste by incorporating carbon taxation and regional cost-equity standards into a bilevel optimization framework. The manufacturer chooses purchases and …
Pan X, Wang JW, Hadjikakou M +7
This paper translates four co-designed Ag2050 narratives into a national-scale land-system optimization model for Australia, quantifying trade-offs between food production, economic returns, climate mitigation, and biodiversity. The Landsca…
Di Ruocco G, Genovese V
This study develops a BIM-LCA workflow for EPBD IV compliance, applied to a nursery school design. Evaluating six material scenarios, it finds that high recycled content achieves Class B with minimal cost increase, while an alternative floo…
Fabian Hofmann, Felix, Lukas Trippe +25
PyPSA/linopy v0.9.0 is an update to a linear programming library for energy system optimization, featuring performance improvements, bug fixes, and a new stateful solver API, enhancing computational efficiency for large-scale energy models.
Mrs. A. Lalitha, Mohammad Shah Alam Chowdhury, Mohammad Mehedi Hasan
This conceptual paper examines Pay-As-You-Go (PAYG) FinTech models that enable clean energy access for low-income households through small, periodic payments. It highlights how digital payments and smart metering reduce financial barriers, …
Moyano-Reina, María
Replication package for a study on who benefits from energy transition jobs. Includes R code and macroeconomic inputs to ensure reproducibility of results.
Seagal, David Michael
This paper presents a Green Finance Matrix for transforming New Zealand dairy farms into net-positive regenerative systems by integrating low-cost clean energy, on-site CO₂ scrubbers, vertical hydroponics, and AI-driven optimization. It har…
yun-long-zhang
This study develops a MILP optimization model for China's 1,885-unit coal power fleet, jointly optimizing energy conservation retrofits, biomass co-firing, and carbon capture under carbon pricing. It generates marginal abatement cost curves…
(著者不明)
This paper analyzes internal and external drivers of hydrogen deployment in the energy transition, including corporate strategy, cost, policy, and market factors. It likely provides empirical evidence on how to accelerate hydrogen adoption.
Lishi Zheng
Using panel data of Chinese A-share listed firms from 2018 to 2023, this paper examines the impact of digital ESG disclosure and FinTech supervision on corporate financing costs. Results show that high-quality ESG digital disclosure signifi…
Mohammad Osman Goni, S. M. Sohrab Uddin, Sanjida Alam +2
This paper examines regulator-led sustainable finance governance in Bangladesh, focusing on green finance participation, banking disclosure, and implementation gaps. It proposes a framework for achieving climate-resilient development throug…
Ying Yang, Jingxuan Yang, Jinlei Liu +1
This study examines whether the establishment of intermediate environmental courts in China affects corporate climate-related disclosure. Using a staggered difference-in-differences design on Chinese listed firms from 2010-2022, it finds a …
Marc Guevara, Carles Tena, Paula Camps +16
This supplementary material provides additional information on the open-source emission processor HERMES_Δ v1.0.1, which translates official air pollutant and greenhouse gas inventories into model-ready formats for climate and air quality m…
Rahul Madhusudan Gattani, Neeta Choudhary Verma
This narrative review outlines greenhouse gas emissions in anesthesia, mitigation strategies, and global initiatives. It highlights the importance of reducing emissions from anesthetic gases as part of climate change mitigation.
Browse by Topic