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 1–20 of 1781 papers
Jiaying Wang, Da Liu, Yi Wu +3
As China's solar PV industry expands, decommissioned panel waste becomes a major challenge. This study builds a scenario framework to assess cumulative PV waste and recycling benefits through 2050, projecting 1164–1403 GW of retired capacit…
Joseph Ignatius Teye Buertey, Alex Osei- Bonsu, Comfort Mensah +4
Surveying 400 Ghanaian real estate professionals, this study identifies solar technology efficiency and smart energy management as the strongest determinants of renewable energy adoption in construction projects. Key drivers are long-term c…
Jing He, Jingyong Zhang, Ye Zhang +3
Using CMIP6 model data, this study compares global wind energy changes under the carbon-neutral SSP1-1.9 pathway versus higher-emission scenarios. SSP1-1.9 better preserves wind energy stability by reducing Northern Hemisphere declines and …
Xiaoping Gao, Yipan Li, Xiaori Yang +1
A review of recycling pathways for retired wind turbine blades. Because blades are thermoset composites, they are hard to process and have largely been landfilled or incinerated; the paper compares targeted mechanical, thermal and chemical …
A. Nana Akwasi Agyei, Evans Oteng, Isaac Anowuo +1
Using panel data from selected Sub-Saharan African countries (1990–2020), this study examines how environmental taxes and environmental technology jointly drive renewable energy development. Augmented mean group and quantile regression resu…
Spitalny L.
A study evaluating renewable energy technologies deployed in a net-zero-energy office building in Germany. Without an abstract, details are limited, but it serves as an empirical case of building-level decarbonization and on-site renewables…
Do Quang Linh, Dung Duc Tran, A. Dang
This study develops a deep learning framework integrating 11 global climate models with sparse station observations to produce a high-resolution wind energy map for Vietnam's data-scarce Central Highlands. CNN and XGBoost outperformed tradi…
Duygu BIYIKLI, Faik Ahmet SESLİ, Pelin Kasap
This study evaluates a 5 MW wind plant in Turkey during the transition of the YEKDEM support scheme from USD- to TRY-based pricing. Using Monte Carlo simulation (Crystal Ball, MATLAB) and a Black–Scholes real-options valuation of the deferr…
Asha R Nair
This review examines why government renewable-energy policies do not automatically translate into adoption, focusing on solar PV and rooftop solar in India across ten studies (2020-2024). It identifies high upfront costs, limited finance ac…
Brunelli L., Belloni E., Pigliautile I. +3
This study presents a novel simulation tool for designing hybrid Renewable Energy Communities (RECs) integrating diverse sources. Applied to a wooded area in central Italy, a 600 kW biomass plant with PV achieves up to 1660 t/year avoided C…
Felipe Husadel Poyer, Polyanna da Conceição Bispo, Paula Conde Santos Borba +6
Using remote sensing, this study quantifies land use and land cover change (LUCC) in over 120 Brazilian municipalities hosting wind and solar plants, before and after deployment. It finds statistically significant correlation and causality …
Bakhrombek Khamrokulov
This paper examines solar energy's role in the global economy and its impact on the power sector, using Uzbekistan as a case study. It analyzes the shift to renewables, solar's advantages, and environmental damage prevention, concluding sol…
Mohammed Shitu
Nigeria holds abundant solar, wind, hydro and biomass resources yet remains fossil-fuel dependent due to weak policy frameworks, financing gaps, technical capacity shortages, infrastructure limits and low public awareness. Drawing on IRENA,…
Changqing xu, Tianyu Jia, Jianchuan Qi +13
A global gridded dataset (0.25°, 1980–2025) assessing onshore and offshore wind resources and power potential using ERA5 reanalysis. It provides five metrics—capacity factor, capacity density, energy density, technical potential, and develo…
Hua Y.
This study examines renewable energy integration across Belt and Road Initiative (BRI) countries, linking government expenditure, green finance, and economic growth. It highlights how green finance channels public spending into renewables. …
Aishwarya Khanderao Eakhande
This review examines how government renewable-energy policies translate into actual adoption, focusing on solar PV and rooftop solar in India. Analyzing ten studies from 2020–2024, it finds that high upfront costs, limited finance access, p…
Cliff Dansoh, Angad Singh Panesar, Guillaume de Sercey +2
This study develops a phase-dependent framework to evaluate renewable nameplate adequacy, utilisation and peak grid imports as port electrification demand evolves. Using Newhaven Port (UK) across five planning phases with solar, vertical-ax…
Jian Song, Yi He, Roberto Cipollone +2
This study compares hybrid renewable energy system (HRES) configurations—PV, solar thermal, PV-T, wind, and biomass—for combined cooling, heating, and power at a hotel in Fayoum, Egypt. PV-based systems deliver the best economics (NPC $195.…
Begmatov Shavkat
This study assesses the prospects of agrivoltaics (AV) for Uzbekistan's agricultural sector, leveraging the country's high solar radiation and temperatures. It presents a methodology to estimate technical, economic, and environmental indica…
Prasad Laxman Pagdhare
This descriptive review surveys renewable energy innovation—solar PV, wind, hydro, bioenergy, geothermal, green hydrogen, storage, smart grids, and digital energy management—and its economic and environmental significance. It highlights AI,…
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