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.
Showing 5341–5360 of 5925 papers
Yi. Peng, Hanming Zhang, Wei Yan +10
This paper proposes an off-grid microgrid integrating renewable energy and machine learning for decarbonizing oil and gas operations. Field tests on PetroChina oilfields achieved over 90% green electricity, cost reduction, and demonstrated …
M. Tran, P. H. Nguyen, T. Tran
This study uses the AIM/CGE model to analyze four scenarios (BaU, ACT, CTP, MTP) for Vietnam's energy transition to 2050. The ACT scenario achieves the deepest decarbonization with renewables contributing 39.25% of primary energy and solar/…
Ning Xiao
This paper quantifies the decarbonization potential of compressed air energy storage (CAES) systems using abandoned coal mines. A triple synergistic model of direct, indirect, and sequestration-based emission reductions shows a 200 MW syste…
Hui Liang, T. Morgan
This study examines the impact of fintech, green technology, and natural resources on energy transition and carbon emissions in five Central Asian countries from 2000-2021. Using quantile regression and CS-ARDL, it finds that natural resour…
Andreea Maria Mănescu, Victoria Barcenas Tous
This study compares how Romania and Spain balanced energy security and decarbonization under economic turmoil from 2010 to 2024. Spain's rapid wind and solar expansion lowered carbon intensity but increased exposure to gas price spikes. Rom…
Wang Zhibo, Haijun Xing, Yang Kun +3
This paper proposes a distributionally robust optimization scheduling method for an electricity-hydrogen-ammonia-carbon integrated energy system, addressing wind-solar uncertainties and multi-energy collaboration. It models renewable uncert…
Hans Gelten, Kim Hemmer, B. Aalderink +2
This study evaluates Power-to-Methanol (PtM) deployment in the Netherlands via two biogenic carbon pathways: CO2 hydrogenation with green hydrogen and dry methane reforming (DMR) of biogas. Both routes yield levelized costs around €2630/ton…
Arnolds Efimovičs Kims, J. Kalniņš, Alijanov Donyorbek Dilshodovich +1
This study evaluates the impact of green energy deployment on economic growth using a modified Cobb-Douglas production function and input-output analysis. It finds that renewable energy clusters (solar, wind, hydrogen, batteries) boost prod…
Feixiao Yin, Ridwan Lanre Ibrahim, A. Alomair
This study analyzes how institutional quality conditions the sustainability impacts (economic, social, environmental) of renewable energy in BRICS and MENA economies from 1996-2022 using CS-ARDL and PQARDL models. Results show that renewabl…
Amina Bekkouche, Fatiha Benidir, A. Lekbir +2
This paper proposes a sustainable campus energy transition integrating hybrid renewables and green hydrogen to achieve net-zero operations. It discusses the implementation methods and potential benefits.
Chen Zhao, Zhentao Jiao, Xiaopeng Wu +2
This study proposes a strategy for optimal scheduling of industrial customers' shared energy storage in a coupled electricity-green certificate market. A Stackelberg game models retailer-customer interaction: upper level optimizes retailer …
E. Rustenova, A.D. Ibyzhanova, Aizhamal Aidaraliyeva +4
This study examines the relationship between Digital Transformation and Clean Energy Integration in the agro-industrial sectors of Russia and Kazakhstan. Using econometric methods on data from 2000-2024, it finds that digital transformation…
Anna-Katharina von Krauland, Jiarong Xie, Dimitris Anastasiou +2
This study quantifies renewable energy curtailment in New York State and assesses its potential use for green hydrogen electrolysis and carbon capture. Using high-resolution wind data and a capacity expansion model, it estimates surplus ene…
Zhe Yan, Jianrong Yang, Ke Dai +3
This study develops a flexible regulation model for shared energy storage across residential, office, and industrial building groups, considering heterogeneous energy consumption patterns. Simulation results show that shared storage achieve…
Nikolay Hinov
This paper compares conventional transformers and solid-state transformers (SSTs) via life cycle assessment. SSTs show 10-30% CO2 reduction (approx. 90-1000 t CO2 over 25 years) driven by lower losses and material intensity. Additional bene…
R. Ranosz, Arkadiusz Janicki, B. Kowal
This study comprehensively assesses the costs and economic viability of replacing coal-based electricity generation with renewable technologies in Poland. Using NPV, IRR, and LCOE, it finds onshore wind has the lowest LCOE and shortest payb…
Ji-Yan Dai, Peijie Yao, Shuai Ju +2
This paper reviews electrochemical uranium extraction from seawater (EC-SUE) to synergize marine renewable energy and nuclear power. It covers electrode materials, reaction mechanisms, and demonstration projects, proposing a closed-loop sys…
Jacques Gandini, Roberto Colacchi
This paper examines the deployment of large heat pumps (LHPs) combined with waste heat recovery in fourth-generation district heating (4GDH) within the EU policy framework. It highlights the technical and policy benefits of high-temperature…
A. Barac, M. Holik, Kristijan Ćurić +1
This study evaluates the techno-economic performance of hybrid PV systems integrating battery and hydrogen storage with a blockchain-based peer-to-peer energy trading platform. Results show grid electricity demand reduction of 45-50% for re…
Pingzhen Xu, Xin Shen
Using panel data from 30 Chinese provinces (2011-2022), this study employs a structural equation model to examine how industrial intelligence affects carbon emissions. It finds that industrial intelligence significantly reduces emissions, w…
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