GX & Decarbonization Research

Deepak Gupta, Ziyodullayev Sodiq, Matkarimov Mansur +4

This chapter examines the convergence of AI and climate finance, exploring machine learning for climate risk modeling, deep learning for ESG rating accuracy, NLP for climate disclosure extraction, and predictive models for transition risks.…

Hakpyeong Kim, Jeong IL. Park, Taehoon Hong +1

This study uses longitudinal input-output analysis to examine structural dynamics in the renewable energy economy, aiming to support a resilient energy transition.

Christine Cadigan

This paper examines the effectiveness of voluntary carbon markets for family forest owners (FFOs) in the United States. Using the Family Forest Carbon Program developed by AFF and TNC as a case study, it demonstrates how market-based conser…

Elif Duygu Kömürcüoğlu, Ömer Faruk Kömürcüoğlu

This study examines the effects of green fiscal policy instruments (environmental taxes, policy stringency) on climate pressure in EU-15 countries from 1995-2019 using a multidimensional climate index derived via PCA. Using the MMQR approac…

Ying Yu

This study compiles an 8-year county-level panel dataset to estimate the disproportionate impacts of temperature on energy burdens for vulnerable U.S. communities. It builds an interdisciplinary framework combining machine learning and remo…

Victor Brun, Marine Lecerf, Olivia Le Gouvello +16

This paper highlights three challenges to marine carbon dioxide removal (mCDR): knowledge gaps, ecological and social risks, and inadequate governance. It argues that until these challenges are addressed, mCDR should not be considered a sca…

Clara Bachorz, Jakob Dürrwächter, Chen Chris Gong +6

This paper models steel capacity additions in emerging economies, estimating that existing and planned coal-based plants could commit nearly 60 GtCO2. Under current trends, committed emissions reach 114 GtCO2, consuming 20% of the remaining…

Aditya Pappu, Bahman Ahmadi, Gerwin Hoogsteen +2

This survey comprehensively reviews transactive energy management approaches in energy communities. It categorizes methods such as demand response, decentralized energy trading, and market designs, summarizing their benefits and challenges.…

Seda Sönmez, Halil Özekicioğlu, Marina Danilina +1

This paper analyzes the short- and long-term effects of afforestation, energy productivity, renewable electricity generation, and nuclear electricity generation on CO2 emissions in BRICS countries from 1993 to 2021 using bootstrap cointegra…

Mehmet Recai Uygur

This paper investigates how green transition policy intensity and economic inequality interact to shape democratic legitimacy. Using panel data from European and OECD countries, it analyzes links between environmental policy stringency, dec…

Shaanika S, Böllinghaus T, Sobol O +4

This study evaluates the hydrogen embrittlement susceptibility of 316L stainless steel tubes in cold-drawn and heat-treated (simulating weld thermal cycle) states for green hydrogen applications. Slow strain rate tensile tests under high-pr…

Laing T, Koroma MS, Elshurafa A

This study quantifies the paradox that renewable energy and electric vehicle manufacturing relies on oil-based materials. Using material flow analysis, it projects that global oil demand embedded in these technologies could rise from 2.8 mi…

Valverde C, Díaz-Morcillo A, Fayos-Fernández J +3

This paper investigates microwave heating of molten solar salt (solar salt) for thermal energy storage, combining multiphysics simulations and experiments. Solar salt behaves as a highly conductive ionic medium with limited microwave penetr…

Shahadat H

This study constructs the first primary-data, scope-resolved carbon and water footprint inventory for Bangladesh's ready-made garment (RMG) sector using facility-level data from 32 factories. The sector-weighted mean cradle-to-gate global w…

Nuraliyeva, Komila Sanaqulovna

This paper analyzes the role of AI in addressing renewable energy intermittency in Uzbekistan's power grid. It shows that AI techniques like LSTM and deep Q-learning can reduce forecasting errors to below 5%, drawing on international experi…

Pradnyesh Khairnar , Karishma Rathod and Asst. Prof. Dineshwari Bisen

This paper proposes the Green Data Center Framework integrating renewable energy, advanced thermal management, and AI-driven resource optimization. Three pilot sites demonstrate PUE of 1.2, 75% renewable energy coverage, 50% reduction in se…

Hafiane, Doha El, Magri, Abdelmounime El, Myasse, Ilyass El +2

This paper proposes a real-time energy management framework for hybrid low-voltage microgrids using multi-agent systems (MAS). Co-simulated with JADE and MATLAB/Simulink, the approach increases renewable energy utilization by 10% and reduce…

Ms. Roopankshi Pareek, Dr. Nidhi Sharma

This study examines climate risk disclosure and GHG emissions of four major Indian banks from FY2022-2025, assessing alignment with TCFD and CDP. Findings reveal significant heterogeneity: HDFC and ICICI exhibit more comprehensive TCFD-alig…

Han-Teng Liao, Karen Ang

This paper proposes a regenerative socio-technical roadmap for AI infrastructure that addresses Scope 3 emissions and e-waste by integrating IEEE IRDS sustainability considerations. It reframes AI as a system-of-systems governed by planetar…

David T. Allen, Qining Chen, Arvind P. Ravikumar +1

This review summarizes the current status and prospects of various measurement and modeling approaches for estimating methane emissions from US oil and gas supply chains. It concludes that no single method suffices, but integrating multi-sc…