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 12201–12220 of 20323 papers
Joel Terwilliger, Ian Christie, Subhes Bhattacharyya
This paper discusses the importance of co-benefits and monitoring systems in promoting climate action in cities. It argues that integrating these elements into urban governance is crucial for achieving net zero targets. The paper provides i…
Manisha Sinha
This study analyzes ESG metrics in annual reports of Bhutanese listed companies and benchmarks them against Indian BRSR reports. It finds ESG reporting in Bhutan is nascent lacking a framework, and recommends developing one consistent with …
Poongavanam GaneshKumar, Vinothkumar Sivalingam, V.S. Vigneswaran +4
This study explores biowaste-derived materials for green hydrogen production, high-performance anodes, and photothermal energy conversion, contributing to net-zero technologies.
Jaehyun Park, H. Kwon
This study examines whether sustainability disclosure affects firm value through external ESG evaluation, using Korean listed firms (2019-2021). Regression and mediation analyses show that disclosure is positively associated with external E…
Alanoud Al-Maadid, Mohamed Sami Ben Ali, Kamal Si Mohammed
This paper studies the relationship between climate change, decarbonization investment, decomposed oil shocks, and the Carbon VIX (carbon price volatility index) using quantile-on-quantile kernel regularized least squares and wavelet quanti…
Mazin Ismael Raheem, Xiaofeng Zheng, Christopher Wood
This paper uses CFD simulations to evaluate a passive cooling system combining a courtyard earth-air heat exchanger (EAHE) with thermal thrust (stack effect) for residential buildings in Baghdad. It systematically assesses pipe diameter, le…
Xiaorong Sun, Junyi Chen, Xueping Pan +3
This paper proposes an accelerated distributed scheduling method for integrated community energy systems with electricity-heat sharing, improving convergence speed. It contributes to local energy efficiency and cost reduction.
Yuan Li, Wei Zhou, Dongliang Chen +6
This paper proposes and evaluates the integration of green hydrogen into the coal-to-ammonia process, quantifying CO2 emission reduction and cost impacts through techno-economic analysis. It provides insights for ammonia co-firing strategie…
Jieun Jang, Minji Kim, Jongdu Choi +4
This paper presents a comparative techno-economic and environmental assessment of solar-driven desalination using MWCNT/CNF aerogel under decarbonization pathways. It evaluates the efficiency and environmental impact of the desalination pro…
Angat Jotiram Ghanwat, Avinash. A. Somatkar, Viraj Shailesh Patole +1
This structured review synthesizes a framework for industrial energy efficiency benchmarking from standards like ISO 50001, Energy Star, and PAT. It highlights digital technologies and AI for predictive optimization, and case studies demons…
Daril Ridho Zuchrillah, Rizal Arifin, Friska Dwi Pratiwi +4
This study simulates three CO2 utilization pathways (methanol, sodium bicarbonate, methane) for the ammonia industry using Aspen Plus. Sodium bicarbonate production yields the best economic and environmental performance: annual profit $65 m…
Yeganeh Sadeghpour, E. A. Farsani, H. Abdolmohammadi +1
This paper proposes a hybrid framework combining Transformer and Proximal Policy Optimization (PPO) for multi-objective energy management in renewable-based microgrids. It addresses optimization of cost, efficiency, and environmental impact…
Armanda Cetrulo, Giovanni Dosi, Angelo Moro +2
This paper explores the twin transition of automation/digitalisation and decarbonisation in the European automotive industry. Using an evolutionary political economy approach, it analyzes structures of dependence among firms, trade unions, …
Christina V. Grammenou, A. Bouhouras
This paper proposes a framework for optimal siting and operation of hydrogen stations (HSs) in distribution networks with high renewable penetration. Using dual-objective MILP, it minimizes voltage deviations and total operating cost over a…
Hugo Campos‐Romero
This study empirically examines how tariffs affect greenhouse gas emissions embodied in extra-EU imports consumed by EU final demand. Using a high-dimensional fixed effects model, it finds that on average higher tariffs are associated with …
Riccardo Colantuono
This bibliometric and thematic review assesses the evolving economic and environmental impacts of the EU ETS for aviation by analyzing 47 studies from 2009 to 2024. It highlights that early impacts were constrained by free allowances and lo…
Wenjie Qiao, Ge Guo, Ning Zhang +3
This paper proposes a unified carbon pricing scheme for coupled power-traffic networks involving both electric vehicles and gasoline vehicles. Gasoline vehicles face direct carbon costs based on tailpipe emissions, while EVs are charged an …
Ying Lan, Wen Zhang
Proposes a cooperative optimization model for photovoltaic-storage systems using coalition game theory, incorporating a dynamic carbon trading mechanism. The model maximizes total revenue from electricity and carbon trading, distributes sur…
Xiufan Zhang, Zhongju Liao
Using data from 46 Chinese cities, this paper empirically analyzes the synergistic emission reduction effect of carbon emission trading and green finance markets. The findings suggest that the interaction of both markets yields greater emis…
L. Martyniuk, O. Moroz
This paper analyzes the state and prospects of Ukraine's electricity generation industry under war conditions, emphasizing decentralization and decarbonization. It highlights the vulnerability of centralized models and proposes distributed …
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