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 1–20 of 69 papers
Hulshof D.
This paper analyzes the performance of European renewable energy certificate (REC) markets, evaluating market efficiency and price formation mechanisms. It suggests challenges and improvements in market design for promoting renewable energy…
Radka Atanasova, Ivan Dimchev
This review analyzes LCA studies on PV module recycling, covering c-Si, CdTe, CIGS, and perovskite technologies. It evaluates carbon footprint, energy consumption, and material recovery rates. High-purity recovery processes show lower impac…
Bhattacharjee AL, Sochi K, Oakleaf JR +10
This paper presents an integrative framework for siting utility-scale renewable energy projects, combining future development potential, environmental considerations (e.g., biodiversity), and spatially explicit social values. It outlines me…
Selection of Big Data Monitoring Indicators for Investment Risk in Photovoltaic Projects\*
Yang Chang<sup>1</sup> Lin Hui<sup>1</sup> Hu Guangwei<sup>2</sup>
This study proposes a systematic selection scheme for big data monitoring indicators to assess investment risks in photovoltaic projects. Using multi-source data from the Solarbao platform and CHAID decision trees, it integrates expert judg…
Robert P. Kenny
This editorial overviews the latest developments in photovoltaics presented at EU PVSEC 2022, covering crystalline silicon, emerging technologies, system integration, and the role of PV in the energy transition. It highlights advances in ma…
Ryan Wiser, Mark Bolinger, Ben Hoen +7
The U.S. DOE's 2022 Land-Based Wind Market Report reviews 2021 trends: 13.4 GW added, wind supplying >9% of electricity. Larger turbines boosted capacity factors to ~40%; installed costs fell >40% since 2010. PPA prices remain low (~$20/MWh…
Ishana Ratan, José Vega-Araújo
Renewable energy projects often face local resistance driven by social, cultural, and political factors beyond monetary compensation. Based on qualitative evidence from La Guajira, Colombia, this study shows that companies underestimating c…
Hind Alofaysan, Kamel Si Mohammed, Eman Alanzi +2
This study examines how fluctuations in Germany's renewable energy sector (solar, wind, renewable fuels) affect the ESG-Related Uncertainty Index (ESGUI-G) using wavelet quantile-on-quantile regression (WQQR) from June 2008 to 2025. Results…
Bao Guangqing^1^, Tan Hongtao^1^, Ding Kun^2,3^, Wang Ningbo^2,3^, Gao Pengfei^2,3^
This paper addresses the reduced inertia in power systems from large-scale photovoltaic integration by proposing a virtual synchronous generator (VSG) control for a bipolar three-phase grid-connected system. It demonstrates a technical solu…
Fabio Montagnaro, Roberto Solimene
This special issue focuses on solar energy as a key low-carbon technology within the global energy transition, emphasizing efficient resource utilization. It addresses challenges and opportunities for improving solar photovoltaic efficiency…
Jianli Zhou, Yaqi Wang, Ruige Zhao +2
Proposes a collaborative optimization framework for joint capacity configuration and stakeholder interest equilibrium in a wind-PV-hydrogen-biogas multi-energy system. The study quantifies techno-economic trade-offs to achieve negative emis…
Rogissart, Simon, De La Cruz, Ruben
This dataset systematically records non-price criteria used in prequalification and award phases for European offshore wind auctions from 2005 to 2028. It includes a codebook, verbatim criteria descriptions, and numerical values, enabling c…
Marxen H.
This review examines the rapid growth of Power Purchase Agreements (PPAs) for corporate renewable energy procurement and identifies remaining challenges such as contract complexity, regulatory barriers, and market design issues.
Hinrichs-Rahlwes R.
This paper extracts lessons from the European Green Deal and REPowerEU on how renewable energy deployment can simultaneously achieve climate protection and energy security. It analyzes frameworks of subsidies, regulations, and market design…
Gianluigi De Pascale, Luca Esposito, Melania Riefolo +1
This systematic review of 182 studies (1984-2025) maps wind energy externalities influencing willingness to pay (WTP). Findings show positive externalities (e.g., climate mitigation, jobs) increase WTP, while visual and noise impacts decrea…
Youxia Tong, Samuel Duku Yeboah, Michael Provide Fumey
This study uses 1996-2023 data from G7 economies to examine whether institutional quality protects against energy-related risks and promotes renewable energy adoption. Using quantile-on-quantile regression, it finds heterogeneous effects: J…
Yunchao Zhuang, Kui Xu, Lingling Bin +4
This study evaluates global wind and solar energy sustainable development potential under climate change scenarios and explores regional joint optimization. It provides insights for renewable energy deployment planning and climate adaptatio…
Nan Jiang, Zeyuan Liu, Zhu Li +4
This paper proposes a power spot market clearing model that relaxes price limits while constraining the average grid price, addressing the failure of narrow price limits under high renewable penetration. Using IEEE 30-bus system and data fr…
Nupur Mittal, ImranUllah Khan, Zohaib Hasan Khan +2
This chapter reviews the role of AI in renewable energy systems (solar, wind, hydro, bioenergy). It highlights how AI and ML optimize generation and distribution through predictive analytics, improve energy storage, and enhance efficiency. …
Gheibi, Mohammad, Yeganeh Khaksar, Reza, Hoshyar, Amirhossein
This paper presents GlobalPV-RiskDT, a MATLAB-based decision-support platform for evaluating techno-economic, environmental, and financial performance of rooftop PV investments across global cities. It calibrates against RETScreen, then use…
Browse by Topic