GX & Decarbonization Research

Siyi Wang

This paper proposes a low-carbon intelligent path planning method using genetic algorithms for machining carbon fiber reinforced polymer aerospace components. Experimental results show a reduction in path length, machining time, energy cons…

Ege Balkiş, Olcay Gülçiçek Uysal

This study assesses the carbon footprint of open-field strawberry production in Silifke, Turkey, using a cradle-to-farm-gate LCA. The total carbon footprint is 0.25052 kg CO2-eq per kg, with cultivation contributing 77.56%. Fertilizer use i…

Juan Li, Qi Kang, Yibo Wang +4

This paper proposes a hybrid scheduling optimization method for an integrated energy system combining Liquid Air Energy Storage (LAES) and Combined Cooling, Heating and Power (CCHP), aiming to achieve low-carbon operation and multi-energy s…

Yaping Luo, Jianxian Wu

This paper explores the potential of AI technologies to reduce carbon emissions in the transport sector, focusing on optimization, automation, and data-driven decision-making. It likely examines case studies or models where AI steers transp…

1 CUBE

ELEKTRA is a collaborative European project developing electrified reactor technologies for low-carbon ironmaking. It targets energy efficiency, CO2 reduction, renewable electricity integration, and circular use of process carbon. Funded by…

Maryam Naghdizadegan Jahromi, Sébastien Bruno, Marius Le Maréchal +1

This study uses survey data from Québec City households to quantify and spatialize diet-related greenhouse gas (GHG) emissions. By modeling dietary scenarios at the district level, it reveals substantial intra-urban disparities, with distri…

Vladimír Konečný, Karolína Ujlacká, Dominika Jonasíková

This study compares two greenhouse gas (GHG) emission calculation standards for road transport services: EN 16258 and ISO 14083. Using a case study of a Slovak road freight route, emissions were calculated under both standards and with sele…

Amal Alharthi, Ahmad Alomari, Fawwaz Alrwabdah +3

This paper examines how green digital technologies (ERP, cloud, IoT, AI, big data analytics) improve ESG disclosure quality for industrial firms listed on the Amman Stock Exchange. Using panel data from 30 firms (2020-2024) and institutiona…

Paul Wolfram, Page Kyle, Nawaf Nazir

This paper presents a multisector dynamics model extending LC-GCAM to trace life-cycle GHG emissions of U.S. fuels, covering all stages from production to consumption. The model captures cross-sector interactions and provides a comprehensiv…

Ali Ahmed, Daniel Nenguke, Filip Dudek

This paper introduces the 'Green Premium Paradox,' where investors pay a premium for ESG-labeled stocks without verifying the truthfulness of sustainability claims. Using behavioral finance, the authors develop a model connecting ESG disclo…

Mohsin Khan, Wendy Ashurst

This paper examines the role of AI in enhancing ESG reporting quality, proposing a sector-specific hybrid governance framework. It finds environmental metrics are more amenable to AI verification, while social and governance disclosures req…

Qiao Wang, Bin Li, Shaojie Kong +1

This study uses double machine learning on panel data from 266 Chinese cities to investigate how digital governance policy upgrades (from IBP to IGS) dynamically propel cities toward carbon neutrality. Findings show that the policy upgrade …

Hieu Thanh Nguyen, Hoa Minh Pham, Anh Thao Nguyen +3

This study examines the impact of ESG disclosure on tax avoidance of 118 Vietnamese non-financial listed firms (2020-2024). Using random effects models, it finds that ESG performance (individual E, S, G pillars and a composite index) is neg…

Mukul, Sandhiya Lakshmanan

This study investigates CO2 capture by glycine, alanine, and serine anions in five solvents using DFT and machine learning. Glycerol emerges as optimal with exothermic enthalpies (-50.8 to -53.7 kcal mol⁻¹). Machine learning identifies a mo…

Jonathan Brandt

This paper provides a model, input data, and results to mitigate business risks from renewable PPA power sourcing uncertainties for European green hydrogen production. It proposes robust system design, regulatory adjustments, and offtake fl…

Min Liu, Pengfei Duan, Pengfei Liu +4

This paper proposes a method using unmanned aerial vehicles (UAVs) to quantify greenhouse gas (GHG) emissions from livestock in pastoral areas. It also evaluates the effectiveness of emission reduction strategies, providing insights for cli…

Masoomeh Jamal Livani, L. Vafajoo, M. Kazemeini

This paper reports optimization of CO2 capture using a Mg(OH)₂ slurry bubble column reactor. Response surface methodology (RSM) systematically examines operating conditions to balance absorption efficiency and scalability, contributing to s…

U. S. Arachchige, W. C. Nirmal, G. Ishara

This study models post-combustion carbon capture processes for cement, steel, aluminum, and coal/gas-fired power plants using Aspen Plus. It calculates regeneration energy requirements for each industry, highlighting the trade-off between C…

G SRINIVAS KULKARNI

This study examines the impact of mandatory ESG disclosure under India's BRSR framework on firm financial performance in environmentally sensitive sectors. Using panel data from NSE 500 firms, it finds that environmental intensity measures …

Xiaolong Lu

This paper reassesses the trade and welfare impacts of the EU's Carbon Border Adjustment Mechanism (CBAM) on developing countries using a structural quantitative model. It analyzes global spillover effects and provides insights into export …