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 41–60 of 666 papers
Olatunde, Abayomi O., Adeyanju, Olusiji A., Oribayo, Oluwasola
This study demonstrates that adding yeast as a biocatalyst in anaerobic digestion of food waste, combined with an iron-oxide scrubber for gas purification, increases biogas yield by about 45%. Under mesophilic conditions (31-34°C, pH 6.7-7.…
WILLIAM NEVES DA SILVA, Ana Katherine Silveira Pereira Caracas, Ana Katherine Silveira Pereira Caracas +9
This qualitative study analyzes how AI-based intelligent architectures can optimize renewable energy management and storage in sustainable housing. By integrating theoretical and documentary data, it demonstrates that combining AI, energy s…
Chen C
This study develops a screening-level framework to assess the hydrodynamic transport of fire-derived pollutants from floating photovoltaic (FPV) systems. Using a 3D model (EFDC+), it evaluates a worst-case fire scenario and finds rapid atte…
Palandri C.
This paper evaluates the actual contribution of biofuels to greenhouse gas emission savings, accounting for factors like land use change and production processes. It finds that the net savings are limited and highlights challenges in relyin…
Schönfeldt, Patrik, Schlüters, Sunke, Upadhaya, Ajay +1
This paper reports an update to MTRESS, an open-source model template for renewable energy supply systems. Key changes include consistent time zone handling, compatibility with current Pandas and solph APIs, and a fix for battery storage is…
Babatunde, A. Aodu, Maruf, Sanni, Akinwale, Y.O.
This study reviews literature (2018-2025) on low-carbon energy adoption in Nigeria, identifying policy, economic, technical, and social barriers. It highlights the need for tailored incentives and pro-poor strategies to enhance energy acces…
Shermatov, Bakhrullo Xayrullo ugli, Umarov, Abduraxim Maxammadumar ugli
This paper investigates the fabrication technology of support steel structures for solar panels optimized for Uzbekistan's conditions. It uses low-carbon St3 steel, designs a rotating pneumatic jig to minimize thermal distortion during weld…
Yuniarto, Abdul Hakim Prima, Nawangnugraeni, Devi Astri, Admaja, Rafif Aldo +1
This study predicts wind speed in Banyumas Regency, Indonesia using SARIMA models and evaluates electricity potential from small-scale wind turbines. The best model SARIMA(1,0,0)×(0,1,1,52) forecasts average wind speed of 3.41 m/s and daily…
Shalaby, Ahmed, Nassar, Mahmoud, Paredes, Ruben +3
This study proposes an autonomous buoy equipped with a pendulum-based wave energy converter (P-WEC) to harness ocean wave energy for powering sensors. The design, development, and experimental evaluation in a wave tank show promising energy…
Farr, Hayley, Garavelli, Lysel, Freeman, Mikaela +6
This paper introduces OES-Environmental and the Tethys platform, which aggregate and disseminate information on the environmental effects of marine energy development. The 2024 State of the Science Report summarizes global knowledge, and fu…
Sanchez Gomez, Miguel
This deposit contains input files, turbine positions, power and thrust curves, and source code for the WRF actuator disk model, used to run simulations for a study on cluster and internal wake effects of offshore wind farms off the U.S. Eas…
Lombardi, Pio Alessandro, Arendarski, Bartlomiej, Sikorski, Tomasz +7
This deliverable presents advanced forecasting tools for ultra-short-term and short-term prediction of PV generation and electricity demand within the FlexBIT project. Using machine learning and scalable data pipelines, it provides minute-l…
Mekuriaw M
This paper proposes a Neuro-Fuzzy Adaptive Model Predictive Control (ANFIS-MPC) to enhance voltage stability in transmission systems. Under disturbances from renewable integration, it achieves 68.7% faster voltage recovery and a voltage nad…
Hasan M, Yasmin F
This survey provides a structured review of evolutionary algorithms (EAs) for engineering problems, covering applications in renewable energy, civil engineering, industrial optimization, and more. It discusses classical methods and emerging…
DeVito, Louis, Fung, Sasha, VanZwieten, James +2
This study proposes a data fusion tool integrating high-resolution sea surface temperature, chlorophyll-a, and HF radar data with convolutional neural networks (CNNs) to automatically detect and track oceanographic features (eddies, current…
Beringer, Courtney, Robertson, Bryson, Bosma, Bret
This paper shares lessons learned from 5 years of designing, building, testing, and modeling the open-source LUPA wave energy converter at Oregon State University. It details design changes addressing stability, safety, ease of use, scaling…
Masood, Usman, Shabara, Mohamed A, Grasberger, Jeff +2
This study proposes a comprehensive control framework for wave energy converters (WECs) with direct drive linear generators (DDLG) for power take-off (PTO) systems targeting blue economy applications. It introduces sliding mode control (SMC…
Panjiyev, Umarbek Orol ugli
This paper reviews energy problems from the late 20th to early 21st century, emissions, and climate change, focusing on the current state of building cooling energy consumption. It promotes the use of renewable energy, especially solar heat…
Anastasios Karamaneas, Natasha Frilingou
This repository hosts the results processing scripts for the 'Green VS Green' analysis, which examines trade-offs between renewable energy expansion and environmental conservation in Greece's electricity transition. The repository provides …
Ulia Baut de Smondera
This paper highlights how independent researchers advance renewable energy technologies, contributing to cost-effective solutions and interdisciplinary applications, especially improving energy access in underserved regions. Challenges rema…
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