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 1601–1620 of 2087 papers
Casey A. Williams
This article critically examines the 'Texas Model'—the narrative that deregulation and market forces drive renewable energy growth. It argues that this model is constructed to support a depoliticized, market-driven transition narrative. How…
Wenqian Wang, Yongmei Wang, Feng Xiao-Chi +2
This review synthesizes recent advances on quorum sensing (QS) as a biological lever for carbon-neutral wastewater treatment. QS modulates N2O and CH4 emissions, enhances aerobic granulation to reduce aeration energy, and boosts methane rec…
Xinrui Liu
This paper compares carbon-neutral power transitions in China, the US, and the EU. It finds that as renewable energy penetration increases, economic bottlenecks shift from generation costs to flexibility and grid transmission. It analyzes d…
Pariman Boostani
This paper develops a policy scenario for inclusive energy communities in Norway and Denmark. Based on 54 interviews and literature review, it uses Cross-Impact Balance analysis to derive consistent futures for 2030. It recommends instituti…
Alireza Maheri
This paper proposes Critical Systems Heuristics (CSH) as a framework to critically examine assumptions and boundaries in energy transition planning. Applied to two cases: repurposing a North Sea oil/gas platform for green hydrogen, and a hy…
Gideon A.H. Laugs, Henny van der Windt
This paper analyzes barriers to biogas adoption in the Netherlands using the Technological Innovation Systems (TIS) framework, focusing on local energy initiatives (LEIs). It identifies insufficient financial and knowledge resources, and la…
GELMANOVA ZOYA SALIKHOVNA, FAYEZ WAZANI ABDUL WALID
This study uses VOSviewer to perform a bibliometric analysis of 19,450 publications from 2020-2025, visualizing the structure of zero-carbon energy research. It identifies key themes like renewable energy, energy transition, and AI integrat…
Maris Esdras Tokpassi, Abdellah Benyoucef, Babajide Epe Shari +4
This paper proposes a system dynamics model to simulate sustainable energy transition in Benin, integrating renewable energy deployment, policy interventions, and economic impacts. It provides long-term pathways and insights for policymaker…
Hongyin Chen, Songcen Wang, Xiaoqiang Jia +5
This paper proposes a multi-objective coupling optimization strategy for integrated energy systems (IES) targeting economy, low-carbon, and exergy efficiency using deep reinforcement learning. It incorporates demand response models for elec…
Honghui Zhang, Dejie Zhao, Limin Jia
This paper proposes a meteorology-informed bilevel optimization framework for coordinated low-carbon operation of park energy systems with EV clusters and energy storage. The upper level minimizes cost and carbon emissions with endogenous p…
Marcos de Castro Matias, Benjamin Miranda Tabak
This meta-analysis of 17 studies on Climate Policy Uncertainty (CPU) and renewable energy transition investments finds a small, insignificant average effect with high heterogeneity. A four-channel transmission framework explains 50.4% of va…
Sylvia Ukamaka Echefu, Musa Bappah, Tatiana Ivanova +4
This study examines Nigerian rice farmers' awareness and willingness to adopt waste-to-energy valorisation of rice by-products as a circular economy strategy. Using a bivariate probit model on survey data from 150 farmers, it finds that edu…
Jinning Lyu, Jinhui Ren, Shu Zhang +1
This study proposes a methodology for building a net-zero power system that accounts for future climate conditions. It combines data-driven forecasting with system adequacy assessment to analyze the impacts of climate change on power supply…
Xinqing Qiao, Wenping Wang
This paper proposes a damping-accumulating discrete grey power model for collaborative prediction of energy transition. It demonstrates the model's effectiveness and contributes to improving prediction accuracy.
N Heriyah, Putri.Alya, Mesa.Neng
This systematic review examines how public investment in renewable energy R&D interacts with geopolitical risks and economic uncertainty in the transportation subsector. Following PRISMA guidelines, 25 peer-reviewed studies (2010–2025) were…
Hà Kiều Oanh
This study examines determinants of policy effectiveness in attracting investment for energy transition projects in Vietnam. Using survey data from 296 stakeholders, it finds that infrastructure and administrative/governance capacity have s…
Samuel Emediong Akpan, Aniekan Offiong, Simeon Ozuomba +1
This paper critically reviews smart switching mechanisms for solar energy management, proposing a three-layered framework of Control Logic, Communication Architecture, and Optimization Targets. It identifies gaps between AI simulations and …
Yidi Wu, Wei Wang, Ping Chen +6
This study develops a bi-level simulation model to analyze the profitability of energy storage participating in electricity and carbon markets, and its contribution to cost reduction and emission reduction. The upper level optimizes pricing…
United Nations Conference on Trade and Development
This study compares women's participation in the cobalt value chain in the Democratic Republic of the Congo and the nickel value chain in Indonesia. It finds that different stages of development and policy choices lead to different outcomes…
Christina C. Gyenge
This paper introduces a novel CO2-based redox flow battery (CRB) technology that addresses the intermittency of renewables, supporting energy transition and industrial decarbonization. It emphasizes a systemic design approach for large-scal…
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