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 381–400 of 5986 papers
Sugandha Sharma
A study examining how circular economy practices affect clean energy transition performance among EU energy-intensive firms, testing critical mineral circularity and policy stringency as moderating factors. Details are limited as no abstrac…
Mónica Andrea Arango Arango, Yonny Alberto Moreno-Rodriguez, Luis Fernando Montes Gómez
The authors embed regime-switching stochastic processes in a non-homogeneous binomial real options model to value investments when uncertainty itself changes over time. Environmental costs enter cash flows directly, and the framework is app…
Ottavia Benazzoli, Filip Sobic, Vincenzo Dipierro +1
This paper proposes a bi-level Stackelberg optimization framework for energy community operation, where an aggregator sets internal prices and members independently optimize PV, battery storage, and flexible demand. The upper level uses an …
Lasma Melinda Siahaan, Badaruddin, Natasya Santa Elisabeth Siahaan +2
Using a balanced panel of 38 Indonesian provinces (2019–2023), this study applies fixed-effects models with Driscoll-Kraay standard errors to link higher renewable energy shares with improved human development, lower poverty, better air/wat…
Ngoc Anh Nguyen, Nguyen Thi Vi, Huong Giang Luong +2
Using 1990–2023 Italian data, the study applies ARDL bounds testing to examine long- and short-run links among fossil fuel use, electricity demand, FDI, GDP, innovation, and renewables. It tests whether renewables statistically displace fos…
Doorgeshwaree Jaggeshar, R. Moriarty, Vahid Aryanpur +3
This paper introduces TIM-LEAF, Ireland's first inventory-aligned national model integrating energy, agriculture, land use and forestry. It couples TIMES-based energy cost-optimisation with endogenous land allocation, forest carbon dynamics…
Boluwatife G. Ayankojo
This study examines why solar energy adoption differs across Egypt, Ghana, Kenya, Nigeria, and South Africa, using agent-based modeling and comparative case analysis. It simulates how household adoption decisions generate system-level diffu…
Manuel A. Zambrano‐Monserrate, Rabia Najaf, Gonzalo Hernández Soto
First quantitative meta-analysis of 64 studies (2012–2025) on the energy transition–CO2 relationship, using random-effects meta-regression. The pooled estimate is −0.19, indicating an average negative association, though magnitude varies sy…
Vedran Kirinčić, Sara Delgado-Santana, Benjamín González‐Díaz
Using EnergyPLAN hourly simulations calibrated to Tenerife's 2023 grid, this study compares six pathways to 2050 for an isolated island system. A paired-simulation protocol measures unabsorbed renewable output (32% under BAU, 42-45% under P…
Shahla. F. Nazarova
This study analyzes structural change in Azerbaijan's energy sector across economic, environmental and technological dimensions. Using comparative analysis of international reports, official statistics and strategic documents, it finds the …
Jorge Eduardo Infante Cuan, V. Fernandes Garcia, L. Botelho Mesquita +3
A multi-period MILP model assesses the techno-economic and environmental feasibility of SAF via the alcohol-to-jet route in Brazil using sugarcane, corn, and agave ethanol. The optimized system yields 8.20 Mt SAF/year with a minimum selling…
C. Fritsch, F. Yildirim, J. Beer +2
The BioMeSyn project develops a modular, container-based process for decentralized methanol synthesis from biogas, targeting small- to medium-scale producers (~300-700 Nm³/h) affected by the expiration of Germany's EEG subsidies. Power-to-X…
Bastos G, Marujo L
This paper reframes Brazil's freight rail infrastructure-technology mismatch as an alignment and sequencing challenge rather than a static deficiency. Using ANTT/ANTF data and the FICO-FIOL corridor projects, it shows network expansion, reg…
Band Desmond
This review examines HVDC transmission innovations—voltage source and modular multilevel converters, advanced semiconductors, and multiterminal architectures—and their contributions to efficiency, renewable integration, and grid stability. …
Lechtenböhmer, Stefan
This keynote argues that a climate-neutral industry requires technological innovation and close industry-science-policy cooperation, with maintaining competitiveness a central challenge for Europe. The renewable transition and energy effici…
Sauer, Alexander
This keynote frames the path to climate-neutral industry as requiring technological innovation and close industry-science-policy cooperation, with Austria and Europe's competitiveness as the central challenge. It argues that renewable trans…
Onal Yerkanat Bilim-Innovation Lyceum No. 1, Karagandy, Kazakhstan
This study compares how fast Kazakhstan's coal share of electricity has fallen against China, Russia, Uzbekistan and Kyrgyzstan using Ember data for 2000-2025. Kazakhstan's coal share declined about as fast as China's over 2011-2025 (~1.6 v…
Dai, Qingyuan
This repository provides the code, input data, results and figures for a study showing that charging power and round-trip efficiency constrain long-duration storage recovery after renewable energy droughts in Europe. A deterministic Python …
Feng, Lei, Gong, Yi, Xu, Haofeng +2
This study examines whether China's food system can reach net-zero emissions. It suggests that moderate dietary shifts make a decarbonization pathway feasible. The work informs climate policy and transition debates in the food and agricultu…
Dr. Atul Ayare, Arin Ayare
The Indian chemical industry is a major GHG emitter due to petroleum-based feedstocks and fossil fuels. This paper quantitatively analyses emission sources and estimates decarbonisation potential through cleaner production, energy efficienc…
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