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 21–40 of 1168 papers
El-Ghareeb, Haitham A.
This results archive compares fourteen uncertainty representations for interval forecasting of renewable energy generation, using a paired grid of 37,800 cells across 30 series from German wind, Kelmarsh SCADA, and a green-hydrogen proxy. K…
Komata H.
This paper applies life cycle assessment (LCA) to electricity generation from forest residues, evaluating its potential for greenhouse gas emission reduction. It provides quantitative insights into the environmental benefits of biomass powe…
Tan J.J.
This paper conducts a life cycle assessment (LCA) across three generations of photovoltaic systems, evaluating environmental impacts and sustainability in the context of net-zero goals. It quantitatively demonstrates how technological advan…
Subhash D. Pawar, Adesh Doifode, Udayan Mukherjee +1
This paper evaluates the effectiveness of green bonds and ESG funds in financing India's renewable energy transition, analyzing trends, challenges, and social outcomes to assess their contribution to India's clean energy goals.
Abbaspour M, Imani AF
This study assesses hybrid wind-wave energy potential along the Oman Sea coast using 30 years of ECMWF ERA5 reanalysis data (1995-2024). It introduces a novel Wave Energy Concentration Index (WECI) to quantify wave energy variability and id…
DOI: 10.11985/2018.10.008
Liu Deng Zhang Dan Zhou Yi Yang Xuejiao Chen Susheng
This paper addresses mismatch losses in large-scale and mountainous photovoltaic plants by evaluating inverter-based multi-channel MPPT technology. Using Simulink simulations, it compares distributed-centralized and traditional approaches, …
Guodong Tang, Meng Zhongju, Gao Yong +4
This study quantitatively assessed wind erosion and sand transport characteristics at different positions of photovoltaic panels in a 200 MWp solar plant in the Kubuqi Desert under prevailing wind conditions. It analyzed flow fields and mor…
Wang Hao, Li Shengyu, Wang Haifeng +2
This study investigates the mechanism of surface erosion and deposition caused by wind-sand activity in desert photovoltaic (PV) power stations. Using wind tunnel experiments and numerical simulations, it analyzes wind velocity flow fields …
doi: 10.13866/j.azr.2019.03.20
Chen Xi, Gao Yong, Zhai Bo, Liu Xiangjie, Cheng Bo
This study observed wind-sand transport at the leading edge, trailing edge, and array aisles of a solar photovoltaic power station in a sandy area, revealing that sediment transport rates decrease with height and are influenced by panel lay…
Yang Donghai, Liu Yang, Wang Yi +1
This paper proposes an MPPT control strategy for photovoltaic systems using a binary ant colony fuzzy neural network, replacing traditional BP neural networks to improve maximum power point tracking accuracy and speed. Simulations demonstra…
Simulation and Experimental Study of a Novel Heat-Collecting Canopy in a Rotating Wind Energy System Postprint
Zhang Mingxu, Gu Zhaolin, Luo Xilian +2
This study optimizes the dimensional parameters of a heat-collecting canopy, a core component of a dust-devil-inspired rotating wind energy system, through numerical simulation and experiments. It clarifies the impact of canopy geometry on …
TANG, Guodong, MENG, Zhongju, GAO, Yong +2
Large-scale solar PV in deserts faces geomorphological changes from surface erosion. This study investigates wind-sand movement around PV arrays in the Hobq Desert, China, demonstrating how arrays affect aeolian sediment transport. Findings…
Tze-Haw Chan, Abdul Saqib, Agustin Isnaini Nuzula
Using panel data from 10 emerging East and South Asian economies (2000-2019), this study tests the EKC hypothesis and the impacts of green finance, renewable energy, and institutional quality on CO2 emissions via CS-ARDL. No U-shaped EKC is…
Kari-Anne Lyng
This thesis evaluates environmental and economic aspects of Norwegian biogas value chains, combining LCA and economic analysis. It finds optimal use as transport biomethane and agricultural digestate, compares Norwegian and Danish policies,…
Fan Bin
This study evaluates the occurrence conditions of shallow geothermal energy in Lanzhou New Area and analyzes the suitability of ground-source heat pump (GSHP) systems. It provides scientific evidence for optimizing regional energy structure…
Chen Chunbo^1,2,3, Li Gangyong^3,4, Chen Dongbo^5, Zhao Yan^3,6,
This paper reviews research progress on the ecological suitability of grassland photovoltaic systems. It highlights the dual role of solar power in reducing fossil fuel consumption and mitigating climate change, while addressing concerns ab…
Peijin Jiang, Qingshi Tu, Fengqi You
This dataset supports a study assessing the spatiotemporal potential of seaweed-based energy and fertilizer pathways in the U.S., highlighting climate mitigation and land use benefits. It provides data for evaluating sustainable biomass rou…
Avazov Azizbek Ashurali o'g'li
This paper examines the role of blended finance in supporting solar and wind projects in Uzbekistan. It explores how concessional donor capital can be combined with commercial investment to reduce risks, improve bankability, and accelerate …
Subrata Koiry, Swarup Barua, Md Rasheduzzaman
Using Bangladesh data from 1990-2019, this study applies ARDL and Granger causality to examine links among renewable energy, CO2 emissions, and GDP. Findings show bidirectional causality between renewables and growth in the long run, and un…
Raid Mahmood Faisal, Zakariya Nafi Shehab, Zakariya Yahya Algamal
This study compares GIS-based multicriteria decision-making methods (AHP, SAW, TOPSIS, VIKOR) for optimal wind farm siting in Erbil, Iraq. Method choice yields distinct feasibility geographies, with SAW being most stable. The comparative ap…
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