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 81–100 of 5986 papers
Irina Di Ruocco
This study develops a Digital-Twin-enabled energy-management framework and applies it to three Italian port cities: Genoa, Livorno and Naples. Maritime activities dominate port emissions (80-97%), while shore-side electricity yields widely …
Mohammad Waqas Chandio, Abdul Sattar Laghari, Laveet Kumar +4
This study applies a unified 4E (energy, exergy, economic, environmental) assessment and multi-objective optimization to modified micro-gas turbines for low-carbon distributed power generation. It aims to balance efficiency and environmenta…
Aleksandar M. Mitrašinović, Deana Čikara
This study examines decomposition mechanisms of iron ore and iron-bearing minerals as a route to low-carbon ironmaking. Fe2O3 reduction is thermodynamically favorable above 700°C, while Fe3O4 and FeO become feasible above 800°C. Vacuum-base…
Williams Kennedy George
A conceptual paper examining how resilient low-carbon smart cities can support SDG 2030 in rapidly urbanizing Nigeria. It advocates IoT, AI, and big data to boost urban resilience and cut emissions, stressing comprehensive planning, strong …
Xiufang Liu, Lijun Zhang, 秦耀辰 +2
A case study applying the multi-level perspective (MLP) to analyze low-carbon transition pathways of high-carbon manufacturing in China's Yellow River Basin. It examines how regime, niche, and landscape dynamics interact in a heavy-industry…
Zili Chen, Lichen Liu, Wenbo Wu +2
This paper applies explainable AI methods to decarbonization decisions around coal retirement and renewable-plus-storage expansion. It advances the methodology from correlation toward causal analysis, aiming to make policy and investment de…
Chenglin Li, Yang Zhang, Yafei Xu +1
Early evidence suggests rising data centre electricity demand is linked to delays in coal power retirement timelines. The work highlights a tension between AI/cloud-driven power demand growth and decarbonization progress, with implications …
Samuel Asuamah Yeboah, Ernest Kumi, Alex Ofori
Using 1970–2023 Ghanaian time-series data, this study applies ARDL bounds testing and Granger causality to examine employment determinants alongside manufacturing value-added, trade openness, capital formation, and CO2 emissions. Carbon- an…
Kristina Igliukaite
A study on risk governance and community inclusion in the energy transition of Longyearbyen, Svalbard. It examines how residents are incorporated into the shift away from coal dependence. Details are limited as no abstract was available.
Mathias Koepke, Jochen Monstadt, Kei Otsuki
Using a street-level bureaucracy lens, this study examines how the electricity utility and its staff implement an access-first energy transition in Greater Maputo, Mozambique, amid competing accountabilities and uneven material conditions. …
Viktor Andonov, Snezhana Hristova
This study examines the 'implementation gap' in applying OECD SOE governance guidelines to North Macedonia's state energy firms ESM and MEPSO, using 80 structured surveys and 6 expert interviews. It finds a 1.70-point 'perception gap' betwe…
Emmanuel Chinedu Eleje, Zeeshan Syed, Qayyum Arif +4
Panel analysis of six African OPEC members (1990–2024) using fixed/random effects and PMG/ARDL. Both renewable and fossil fuel consumption drive GDP per capita, while the energy ratio is significantly negative. Adjustment speeds are robust …
Idowu Mopelola Ajibade, Hermas Abudu
This paper evaluates Kenya's energy transition policies through six justice principles, moving beyond purely techno-economic assessment. It examines equity, distributional, and procedural fairness dimensions of the transition, offering a ju…
Javed Mohammad Abubakr
This paper examines pathways to achieve Pakistan's energy transition through a Climate-Land-Energy-Water (CLEW) nexus framework. It highlights cross-sectoral interdependencies and the need for integrated policy approaches. Detailed findings…
Nikolay A. Gorodnyi, Anna A. Fedyunina, С М Никитенко +2
Panel analysis of coal mining enterprise entry and exit across 31 countries (2017–2022) using fixed and random effects models to test how climate policy, energy mix, and state support shape firm lifecycles. Identifies three paradoxes: nucle…
Joseph O. Dirisu, Thywill Cephas Dzogbewu, Deon Johan de Beer
The authors build a hybrid system dynamics–techno-economic analysis (SD–TEA) framework to model biomass utilization and bioenergy transition pathways in sub-Saharan Africa, using Nigeria and South Africa as cases. Simulations show that opti…
Mahyar Kamali Saraji, Dalia Streimikiene, Tomas Baležentis
Using two-way fixed effects with Driscoll-Kraay robust inference across EU members (2015-2023), this study finds that renewables generally lower carbon intensity, but the effect varies with national energy structure. Higher energy intensity…
Manuel Salvador Gomes de Araújo, Dora Martins, Teresa Nogueira +2
A literature review analysing social, cultural and organisational barriers to women's participation in STEM and renewable energy careers through a micro/meso/macro multilevel lens. It finds internalised stereotypes, unequal care burdens, sc…
Sardjono, Wahyu
This paper synthesizes AI applications (machine learning, deep learning, reinforcement learning) in smart grids and maps their direct contribution to SDG 7. It finds AI-driven forecasting cuts renewable generation forecast errors by up to 2…
Najmeh Sajedianfard, Ramin Movaghari, Mark Melatos +1
A study on reconfiguring regional crude oil trade networks toward a low-carbon and cost-efficient transition. It appears to explore trade-route optimization balancing emissions reduction with cost efficiency. Details of methods and findings…
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