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 321–340 of 767 papers
Rajnanadini K, Yash Y, Pooja K +1
This paper reports the laboratory-scale implementation of a hybrid microgrid integrating solar PV, a small wind turbine, and battery storage. The system delivers stable 210V, 50Hz power by combining three complementary sources, reducing gri…
Huy Hoang Phan Quang, Huu Quynh Anh Le, Phan Khanh Thinh Nguyen
This review examines recent progress in biochar-integrated microbial fuel cells (MFCs), highlighting their potential for simultaneous energy recovery and environmental remediation. Biochar enhances MFC performance as an electrode material, …
Jhin-Hao Chen, Mei-Mei Song, Ming‐Tsang Lee +2
This study reviews Taiwan's solar policy evolution and examines its impact on solar concept stock prices using regression analysis on TEJ data. It assesses whether policy implementation and solar growth positively influence stock prices, co…
Biancard M, Catalano P
Using hourly data from 2021-2023 covering the European energy crisis and Italian regulatory reform, this study shows that renewable energy communities (RECs) significantly reduce price dependence compared to individual consumers. Panel econ…
Muhammad Farhan Bashir, Miao Ye, Stefano Bresciani +1
This study examines how renewable energy investments, ICT, education, and economic complexity contribute to mitigating climate change in newly industrialized economies. Using multiple econometric methods, it finds that these factors reduce …
Salem Osman Abdussalam
This paper develops a comprehensive analytical framework for ex-ante evaluation of solar energy investments, showing a 99% reduction in solar module prices from 1982 to 2023, indicating a shift from subsidy dependence to market competitiven…
Raed A. Shalwala
This paper discusses the importance of solar energy in climate change mitigation and challenges due to solar irradiance variability. It classifies forecasting methods (physical, statistical, machine learning) and highlights machine learning…
A. Mammadova, H. Imanov, M. Jafarli
This paper comprehensively reviews biomass energy, covering structural chemistry, feedstock classification, pre-treatment, thermochemical and biochemical conversion technologies, and product applications. It analyzes lignocellulosic compone…
Dasori Azundow Edmund, Wisdom Elikplim Korkortsi, Ramatu Al-hassan +2
This review synthesizes literature on renewable energy policy adoption and implementation in Nigeria and Ghana. It finds that Ghana's cohesive policy framework and grid upgrades have enabled higher renewable energy share, while Nigeria's fr…
Kpanoga Kolombia
This study estimates Quebec households' willingness to pay (WTP) for renewable transport fuels, focusing on solar fuels. Using a contingent valuation survey (n=367) and Heckman selection model, it finds positive but heterogeneous WTP (CAD 0…
Elif Türkboyları, Ahmet Nedim Yüksel
This study evaluates a hybrid solar-wind system (6 kW PV, 6 kW wind) for cooling a buffalo barn in rural Tekirdağ, Turkey. The system generates ~20,312 kWh/year, avoiding ~9,710 kg CO2 emissions, demonstrating renewable energy feasibility i…
Khan, Saffeer, Nakka, Sassi, Silknitter, Jacob +1
This paper proposes an innovative Structural Health Monitoring system that integrates an off-the-shelf ROV with deep learning (YOLOv5) to detect defects in offshore renewable energy installations. The system achieves 87% improvement in dete…
Kersh, Ada, Silknitter, Jacob, Hultberg, Patrick +1
This paper proposes a point-absorber wave energy converter (WEC) with a direct-drive linear permanent magnet generator (LPMG) power take-off (PTO) system. Simulations based on wave data achieve 33 kW rated power per buoy (822.8 V), feeding …
Park, Kyungmin, Yang, Zhaoqing, Copping, Andrea
This study uses a high-resolution ocean model to assess Ocean Thermal Energy Conversion (OTEC) resource potential near Guam and Hawaii. It captures fine-scale variability in thermal structure crucial for OTEC efficiency and evaluates enviro…
Orkhan Jafarli
This paper presents a system-level assessment of residential rooftop solar PV deployment for urban decarbonisation in Azerbaijan. It quantifies the technical, economic, and policy factors influencing adoption, identifying barriers and enabl…
Zhijie Zhou, Siyu Sun, Junjie Zhang +2
This paper compares potential biodiversity conflicts from renewable energy expansion in China under different centralization levels (distributed vs. centralized), providing insights for minimizing land-use conflicts.
Panahova S., Musayev S., Abbasova U.
This study examines the evolution of renewable energy policy in Azerbaijan, identifying three main phases from fossil fuel dependence to a transitional stage. It highlights the need for consistent policy and institutional reforms for long-t…
Ahmed Al Mansur, M D Sahrial Alam, Shahariar Ahmed Himo +2
This comprehensive review examines the impact of dust deposition on solar photovoltaic (PV) systems, analyzing factors such as regional variations, panel tilt angle, and dust composition. It evaluates mitigation strategies including manual,…
Kornpaphop Ruttanawijit, Yodchai Tiaple
This systematic review of nearshore floating solar photovoltaic (N-FPV) systems synthesizes 33 studies using ROSES methodology. Identifies three themes: floating solar, coastal resilience, and mooring design. Reports competitive LCOE of 271…
Khanal, Kapil, Michelén Ströfer, Carlos, Haji, maha +1
This workshop introduces MarineHydro.jl, a fully differentiable boundary element method solver that provides exact sensitivities of hydrodynamic coefficients via automatic differentiation. It enables gradient-based optimization for marine r…
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