GX Research Hub · English

GX & Decarbonization Research

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.

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Topic: #Renewable Energy (clear)

Showing 21–40 of 1521 papers

Peer-reviewed🇨🇳 ChinaJournalApplied Energy2026#Renewable EnergyDOI

Hierarchical operation optimization of reserve storage capacity in pumped-storage power stations for enhanced high-penetration renewable energy accommodation

Jiaxuan Li, Yanlai Zhou, Chenyun Yang +2

This study proposes a hierarchical control framework for reserve storage capacity (RSC) in pumped-storage power stations to balance hydropower benefit and residual load fluctuation (RLF) under high renewable penetration. Applied to the Heim…

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IEEE Power & Energy Society General Meeting2026#Renewable EnergyDOI

Optimal Design of 24/7 Hybrid-Resource Power Purchase Agreement

Dong-Wei Zhao, Zhi Zhou, Daniel Boff +1

This paper addresses the optimal design of 24/7 hybrid-resource power purchase agreements (PPAs), combining solar, wind, and storage to match carbon-free electricity on an hourly basis. It contributes an optimization framework for structuri…

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Peer-reviewed🌍 GlobalJournalInternational Journal for Research Trends in Social Science & Humanities.2026#Renewable EnergyDOI

Renewable Energy Development And The Global Energy Transition: A Comparative Analysis (2001–2025)

Mr. K. Boopathiraj, Mr. P. Balakrishnan

Using IRENA capacity statistics, this study analyzes the growth and structural shift of global renewable energy from 2001–2025 across solar, wind, hydro, biomass, geothermal and marine sources. Solar and wind grow fastest, while hydropower …

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Preprint🇪🇺 EuropeZenodo (CERN European Organization for Nuclear Research)2026#Renewable EnergyDOI

Drivers of Biomass Yield and Climate Benefits in Short Rotation Forestry: A Semi-Quantitative Review of 80 Years of German Research

Leonardo Amthauer Gallardo, Andrea Biertümpfel, Andreas Gurgel +1

A review of 80 years of German short rotation forestry (SRF) research. Two- to three-year coppice cycles gave the highest biomass yields (9.8 odt/ha/yr), with poplar leading. Poplar and willow coppice remain productive for over 20 years, se…

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Peer-reviewed🌍 GlobalJournalInternational Journal for Research Trends in Social Science & Humanities.2026#Renewable EnergyDOI

Renewable Energy Adoption and Environmental Policy Transition: Evidence from Madurai North Taluk

S. Ajay, Dr.S. Karthikeyan

Using household surveys in Madurai North Taluk, Tamil Nadu, this paper examines renewable energy adoption (solar, biogas, efficiency systems) and evolving environmental policy. Awareness, subsidies, and electricity-cost concerns drive gradu…

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Peer-reviewed🌍 GlobalJournalInternational Journal of Environmental Sciences Development & Sustainability2026#Renewable EnergyDOI

Assessing the Integration of Green Infrastructure and Renewable Energy Systems for Sustainable Urban Development in Nigerian Cities

Abubakar Zakariyya Al-Hasan, Al-Hasan Fatimetu Olohigbe, Abubakar Ibrahim Suleiman

This paper argues that urban green-cover loss and unreliable fossil-based electricity in Nigerian cities are structurally coupled and should be planned together. A desk-based synthesis of 2016-2025 peer-reviewed evidence and national policy…

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🇨🇳 ChinaDatasetZenodo (CERN European Organization for Nuclear Research)2026#Renewable EnergyDOI

Reproduction package and derived data for "Rooftop photovoltaic potential and carbon offsets for building-stock carbon peaking: A building-by-building assessment of Qingdao, China

Zhen Peng, Wanxiang Yao

This study assesses building-by-building rooftop PV potential for 2,229,005 buildings in Qingdao, China, coupling hourly generation to a building-stock turnover carbon-peaking model. The deposit provides a full reproduction package with 26 …

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