GX & Decarbonization Research

Sujai Balasubramaniam

This paper presents a theoretical analytical framework for quantifying carbon footprint of cotton spinning mills, consisting of three modules: process-level energy accounting, cradle-to-factory-gate LCA, and decarbonisation strategy evaluat…

Shaena Ulissi, Andrew Dumit, P. James Joyce +4

This paper proposes evaluation criteria for AI-assisted product carbon footprinting (PCF) systems, using mapping and supply chain modeling as case studies. It offers a framework assessing accuracy, data quality, scalability, and other dimen…

Matko Maleš, Tatjana Stanivuk, Božidar Zore +1

This study analyzes CO2 and methane emissions from an LNG tanker using real operational data over ten months. Total methane slip was 3.62%, and when using GWP20, the climate impact sometimes equals or exceeds that of heavy fuel oil. It high…

Jiawei Wen, Chengxin Pang, Yanxin Wang +1

This study proposes an automated emission factor matching algorithm combining LLMs with semantic retrieval for PCF accounting. Evaluated on eight industrial products using Ecoinvent 3.10, it achieves high precision and low latency, outperfo…

Ousseynou Traware, Yuanxun Zhang, Lijing Wang +3

This study quantifies the carbon footprint of different inorganic fertilizer types for major crops in China, analyzing their magnitude, spatiotemporal distribution, and attribution. It provides foundational data for reducing greenhouse gas …

Huanyu Wang, Qiang Yue, Zhenyu Cheng +5

This study proposes a method to track the carbon footprint of the iron and steel industry along the supply chain at the urban agglomeration level. It maps emissions from steel-related facilities within urban clusters, visualizing the emissi…

Nick Veitch

This paper demonstrates that robotic equipment in offshore energy operations reduces carbon footprint beyond safety and cost benefits. By launching from the facility, eliminating support vessels, reducing crew, and enabling remote inspectio…

Yasmine Tawfiq Alsalem, Hala Hazam Al-Otaibi

This study quantified the carbon footprint (CF) of protein food consumption among 1624 Saudi adults. Animal-based proteins contributed 98.5% of total dietary CF, with lamb and beef having the highest emission intensities. High consumers exc…

Amani Al‐Dawood

This review summarizes climate change impacts on the chicken industry (growth, disease, water scarcity) and adaptation/mitigation strategies (feed manipulation, genetic selection, manure management, energy efficiency) to reduce carbon footp…

Adriana Rivera-Huerta, Francisco Galindo, María Salud Rubio Lozano +3

This study compares the carbon footprint and soil carbon sequestration of monoculture (MC) and silvopastoral (SP) beef cattle systems in the Mexican tropics using LCA per ISO 14067. Results show SP has a lower carbon footprint overall despi…

Oliver Díaz (24090546), Agustín Capdevila Carrillo, Andrés Figueira +2

This study evaluates the impact of design parameters on minimizing the carbon footprint of reverse osmosis desalination. For low to moderate recovery (≤50%), a single-stage design with a pressure exchanger is optimal; for high recovery, a t…

Yidong Zhao, Baoqing Chen, 楼益圣 +7

This paper integrates water footprint, carbon footprint, and energy evaluation in the cinnamon soil region of Northeast China. It provides a comprehensive environmental assessment of agricultural systems, contributing insights for improving…

Oliver Díaz, Agustín Capdevila Carrillo, Andrés Figueira +2

This paper explores optimization of seawater reverse osmosis desalination to reduce carbon footprint by adjusting design parameters and the energy mix. It demonstrates how integrating renewable energy and improving process efficiency can si…

Jayashree Chaudhari1 and Asst. Prof. Sonali Tushar Sambare

This paper proposes an AI-driven green cloud computing framework that reduces data center energy consumption and carbon emissions. By integrating intelligent workload management, dynamic resource allocation, energy-aware scheduling, and ada…

Luqman Faqihuddin, Nafis Khuriyati, Muhammad Prasetya Kurniawan +1

This study assesses the carbon footprint of hydroponic sweet Hami melon cultivation in two Indonesian commercial greenhouses using LCA. Electricity consumption was the dominant contributor, with significant differences between farms. Improv…

Javanshir Fouladvand, Francisca Nunes de Almeida Martins

This paper develops an open-source carbon calculator to measure emissions across the entire TV production life cycle (pre-production, production, post-production, marketing, distribution/end of life). Applied to three Dutch public TV progra…

B Vegting, C B Izci, J C Diehl +6

This study conducted a five-day waste audit in a tertiary endoscopy department, quantifying waste streams by type and their associated carbon footprint. The findings reveal the composition of waste and its environmental impact, highlighting…

Qingyu Hao

This paper presents data and code for a firm-level MRIO assessment of carbon footprints in global tourism enterprises. Using financial data from S&P Capital IQ and the EMERGING MRIO database, it employs K-means clustering and LMDI decomposi…

Guoguo Ning, Fanhao Yang, Jianya Zhao +1

This study applies LCA to calculate the carbon footprint of soybean production across 10 major Chinese provinces from 2014-2023. Average footprint is 528 kg CO2eq/ha, with chemical fertilizers and soil N2O as main sources. Significant regio…

Jayashri Waman, Pratik Pawar, Shruti Dalvi +1

This paper proposes AUMO, an AI-powered Urban Mobility Optimizer that integrates carbon-aware routing with smart carpooling for passenger transportation, addressing a gap in freight-focused literature. Simulation results show reductions in …