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 21–40 of 1781 papers
C. D. Obinya
A mixed-methods study in Nigeria's South-South region (400 survey respondents, 60 interviews) finds renewable energy is perceived as significantly improving public health, reducing air pollution and respiratory disease (t=30.91, p<0.05). De…
Ros Syazmini Mohd Ghani, Sofiyah Mohd Razali, Mohamad Saiful Sulaiman +2
Proximate analysis (per Japanese Industrial Standards) of four Sarawak waste biomasses — Acacia mangium bark, oil palm kernel, Nipah palm frond, and bamboo waste. Moisture was very low (0.347–0.485%); bamboo showed the highest volatile matt…
Patrick Scherhaufer, Christa Hainz-Renetzeder, Christian Mikovits +16
BioPV developed an integrated techno-economic, ecological, and social planning framework for ground-mounted PV in Alpine biosphere reserves. High-resolution simulations showed multi-TWh potential, alongside ecological siting criteria, biodi…
Can Tansel Tuğcu, Angeliki N. Menegaki
A study analyzing how renewable energy affects economic growth across sectors in Europe, combining threshold models with machine learning. It suggests the growth impact is nonlinear and sector-dependent, offering quantitative evidence linki…
Mohamed H
This study designs a mandatory rooftop-PV requirement for new villa developments in Saudi Arabia to expand distributed solar while balancing developer, resident, and market interests. Installing PV during construction avoids individual home…
Alexandra Madalina Bujor, Eugen Victor Cristian Rusu, Ana-Maria Chiroșcă
This study assesses renewable energy potential for floating offshore structures in European seas using a curated project dataset. It documents rapid growth in floating offshore wind alongside emerging floating PV and hybrid wave-wind-solar …
Lai Yiu Tong, Zhiwei Li, Cheolhee Yoo +3
A dataset quantifying building- and district-scale rooftop solar potential in Hong Kong, with lifecycle carbon breakdowns (manufacturing, maintenance, transport, decommissioning) and multi-scenario financial and carbon paybacks under low (H…
Cristina Alecsa, Liliana Celia Rusu, Carmen Marilena GASPAROTTI +1
This structured narrative review examines how climate change affects the structural reliability of offshore renewable energy (ORE) infrastructure. It traces technological evolution from early offshore wind farms to hybrid wind-solar-storage…
Oleksandr Shpykuliak, Віталій Іванченко
This paper analyzes the development of German energy cooperatives by type, number, energy source, and production volume. It outlines the theoretical and historical foundations and proposes criteria and mechanisms for adapting the German coo…
Qutaiba Maher Mahmoud
Using DOLS on Swedish data (2000–2025), this study links renewable energy consumption (green economy proxy) to female labor force participation (social sustainability proxy). Renewables rose from 39.8% to 56.88% and female participation fro…
Jiarong Xiong, Xiaolong Xie, Bensong Chen +3
This work proposes a hydrometallurgical route combining NaOH pretreatment with ultrasound-assisted AlCl3 leaching to deeply defluorinate, extract lithium, and purify carbon from spent lithium-ion battery cathode carbon. Though no abstract i…
Liu F, Yang L, Gao C +6
Using a Tambora-scale eruption as an analogue for abrupt aerosol-driven climate disruption, the authors combine climate simulations with renewable resource and cost estimates to assess global wind and solar impacts. They find a concurrent 3…
Malikov Elbek Abdurayim ugli, Worldly Knowledge Publishing Centre
This study assesses the economic efficiency of renewable energy investments in Uzbekistan using 2024–2026 data. Capacity rose 17.8% to 25.8 GW in 2025, with renewables at 31%; solar and wind generated over 9 TWh in Jan–Oct 2025, displacing …
Santamarta, Juan Carlos, García Gil, A., Expósito Martín, María del Cristo +6
This study examines nine touristic infrastructures in the Canary Islands that transitioned from conventional heating to shallow geothermal energy (SGE) systems. Ultra-low temperature district heating and cooling micro-networks achieved aver…
Sadeghibakhtiar, Elaheh, Naeimi, Afshin, Behbahaninia, Ali +1
This study proposes a grid-connected solar-wind hybrid renewable system for a residential building and optimizes its size using a genetic algorithm. Monitoring wind speed, solar irradiance, and electricity demand at 15-minute intervals over…
Kolo, Isa, Brown, Christopher S., Falcone, Gioia +1
This study models repurposing an existing geothermal exploration well (NSCDGB) as a deep borehole heat exchanger (DBHE) using OpenGeoSys. Homogeneous and heterogeneous simulations show a 50-kW heat load can be sustained for 25 years at 922 …
Trinh H.H.
An empirical study examining how geopolitical risk affects renewable energy consumption and technology innovation investment across countries. It suggests geopolitical uncertainty shapes the pace of clean-energy transition and the allocatio…
Lai Yiu Tong, Zhiwei Li, Cheolhee Yoo +3
A machine-learning framework integrating high-frequency satellite and ground observations estimates rooftop solar potential at 0.5-m resolution for 338,550 Hong Kong buildings. Citywide potential reaches 3.77 TWh/year, avoiding 24.9 billion…
Hamed Darabi Kerchi
This study estimates annual energy production and life-cycle carbon-footprint mitigation of a point-absorber wave energy converter using a combined physical model and machine-learning (Gaussian Process Regression) surrogate, wrapped in Baye…
Hoeser, Thorsten, Bachofer, Felix, Kuenzer, Claudia
DeepOWT v5.25.1 is an open global dataset of offshore wind infrastructure locations and their temporal dynamics, derived by applying deep-learning object detection to ESA's Sentinel-1 SAR archive. Dense 1D swath-profile time series per unit…
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