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 1181–1200 of 28511 papers
Chevy Herli Sumerli, Fatima Malik, Ahmed Shah
This study examines financing models enabling circular economy adoption, including green bonds, impact investing, leasing, and public-private partnerships. Through literature review and case studies across manufacturing, energy, and service…
Amegnaglo CJ, Nonvide GMA, Adangbedou EJ
Using a 35-country African panel (2000–2023), this study finds clean energy finance robustly boosts wind and solar generation but reduces hydropower, showing technology-specific effects. Green finance lowers carbon intensity partly via rene…
ZHOU, Yinbang
This study addresses the qualitative bias in CO2 storage site selection by proposing a tiered, multi-scale framework combining AHP-based semi-quantitative screening with geological modeling. Applied to an oilfield aquifer, it prioritizes fa…
Capaccioli, Stefano, Grassi, Angela, Delanaye, Michel +11
The Horizon Europe Fit4Micro project develops a micro-combined heat, cooling and power (microCHCP) unit running on sustainable liquid biofuels for multifamily and off-grid buildings. Based on a double-shaft micro gas turbine with a novel hu…
Xolsaidova Dilnoza
This paper analyzes how investment in the green transition drives sustainable development, using comparative, trend and institutional analysis of IEA, World Bank, IRENA and Uzbek government data. It finds clean-energy capital now roughly do…
Bondinuba, Francis Kwesi
Generative AI is used to design lower-carbon buildings, yet standards like EN 15978 and RICS whole-life carbon exclude the energy used to train and run AI models. This concept note proposes Computational Carbon Accounting (CCA), which measu…
Kathleen B. Aviso, Christian Jay P. Balboa, Botond Bertók +5
This work formulates progressive decarbonization planning in energy-intensive industrial sectors using graph theory. It likely models interdependencies among processes or assets as a network to optimize investment sequencing and transition …
Olena ZHYTKEVYCH, Andriy MATVIYCHUK
This study proposes a hybrid method combining Kohonen self-organizing maps (SOM) for country clustering with linear regression and a multilayer perceptron (MLP) to forecast average CO2 emissions across 45 countries over ten years using 12 i…
Yunpeng Jiang, Qian Wang, Guannan Wu +3
This work proposes a decarbonization dispatch method for AI computing center parks that incorporates task-level carbon traceability. It links computing workloads with power supply and carbon emissions to cut operational emissions from data …
Ertugrul Ayyildiz, Betul Sasmazturk
This study addresses optimal strategy selection for green logistics and decarbonization in household plastic waste collection networks. It likely weighs emission reductions against logistics cost in waste-network design. No abstract is avai…
Bin Bai, Guoqing Li, Jie Hou +1
This study develops an integrated carbon-emission assessment and decarbonization decision-support system for open-pit metal mines, combining a MySQL database, standardized data interfaces, a process-level accounting model, and a production-…
Adity Sapkota, Shreya Paudel, Ashim Joshi +1
A comparative study conducting cross-sectoral energy audits and scenario-based decarbonization assessment across Nepal's dairy, plastic, and metal manufacturing sectors. It highlights sector-specific energy use patterns and abatement potent…
Gür M.
An experimental and numerical study evaluating a PV/T-assisted underfloor heating system combined with phase change material (PCM) to improve indoor thermal comfort in a test room built to nearly zero-energy building (nZEB) standards. It in…
Lee J.
An engineering study presenting a design methodology for multistage fixed bed reactors for steam methane reforming (SMR) hydrogen production, incorporating intrinsic kinetics of Ru-based catalysts. It quantitatively links catalyst performan…
Li H.
This work proposes an improved NSGA-II multi-objective optimization method to tune CCUS injection parameters. By adjusting variables such as injection rate and pressure, it aims to improve the trade-off between storage efficiency, cost, and…
Boldrini A.
This work examines flexibility options for a decarbonising iron and steel industry, likely covering hydrogen-based reduction, electrification, and system integration under variable power and hydrogen supply. Steel is a major source of indus…
Cheng H.
A study on microfluidic-based chemical absorption for CO2 capture, examining mass transfer dynamics, operating factors, and performance intensification. It offers engineering insights to improve the efficiency of CCUS separation and capture…
Mrabti R.N.
This study integrates mixed-integer linear programming (MILP) for spatial and multiperiod optimization of Morocco's green hydrogen supply chain with a FlexSim/FloWorks-based digital twin simulation. It offers a framework to optimize siting,…
Musa B.
This study enhances CO2 capture in electrochemically mediated amine regeneration (EMAR) systems by combining diethylenetriamine with alkanolamines. It targets lower regeneration energy and higher capture efficiency, offering a pathway to cu…
Hargis C.W.
This paper frames calcium carbonate cement as a carbon capture, utilization, and storage (CCUS) technique. Cement production accounts for roughly 8% of global CO2 emissions, making carbonation-based fixation a potentially significant decarb…
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