GX & Decarbonization Research

Xiaofeng Ran, Jiarui Yuan, Shuyue Jiang +1

This study analyzes the dynamic evolution and spatiotemporal transitions of energy efficiency (EE) in 159 shrinking cities in China using exploratory spatiotemporal data analysis. It employs Random Forest and SHAP to reveal the impact mecha…

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…

Lyudmyla Tautiyeva

Lithuania's multi-apartment renovation program has achieved significant energy efficiency gains, but fails to reach households most affected by energy poverty, and exhibits a rural-urban divide. The paper calls for more inclusive policy des…

N. Apostolopoulou, G. Mavromatidis, C. Knoeri

This paper compares retrofitting, repurposing, and replacement strategies for decarbonizing existing buildings, analyzing lifecycle CO2 and cost trade-offs. It provides actionable insights for building owners and policymakers to prioritize …

Lija Mishra

This paper proposes a sustainable edge computing framework integrating renewable energy-powered nodes and AI-driven task scheduling to address the high energy consumption of cloud data centers. Mathematical models and numerical analysis sho…

Charis Cosmas, Hugh McGilveray, Nathan Cooper +3

Heritage building regulations in London have constrained net zero efforts due to poorly performing historic windows. This paper describes a collaborative initiative to develop a high-performance window system that faithfully replicates the …

Shubham Kumar Verma, Sahil Thappa, Rachit Manchanda +2

This review critically assesses ceiling fans as low-carbon cooling technology for thermal comfort and heat resilience. Using bibliometric analysis of 482 documents and thematic review, it finds growing research on hybrid cooling, adaptive c…

Mohamad Khaled Bassma, Ghayth Tintawi

Optimizes envelope design for a Dubai villa, achieving 55% reduction in annual site energy. Favored solutions include moderate window-to-wall ratios, low-e glazing, insulated roofs, and shading. Balances operational energy, thermal comfort,…

Shreya Bhardwaj, Ann Francis, Ranjith P. Soman

This study evaluates wall envelope materials for low-carbon residential design in India using scenario-based energy simulation and life-cycle assessment. Adobe bricks, AAC blocks, and fly ash bricks show best efficiency. Ignoring climate ch…

Li Fei

This study develops a multi-objective optimization framework for low-carbon repair-and-retrofit packages for existing affordable housing in China's high-altitude cold regions. It evaluates building envelope, ventilation, heating electrifica…

Won-Jong Choi, Wangje Lee, Jongkyu Kim +2

This study assesses the applicability of 5th-generation district heating and cooling (5GDHC) systems for energy-efficient retrofits in a net-zero energy campus. It analyzes the use of low-temperature thermal networks and distributed heat pu…

Kumar R.

This study analyzes enablers for synergy between lean manufacturing and net zero in Indian manufacturing. Using cause-effect analysis, it identifies key factors that simultaneously improve efficiency and reduce emissions.

Qian Guo, Z Wang

This study quantifies energy consumption and carbon emissions across production stages for a new cold mix asphalt (New-CMA) using IPCC methods. Compared to hot mix asphalt, it achieves 48% lower total energy use and 40% lower carbon emissio…

Deyue Qin, Jianxiang Xu, Shan Jiang +2

This paper proposes an optimization method to enhance combustion performance for low-carbon equipment, integrating sensitivity analysis and genetic algorithms. It aims to achieve efficient combustion control, contributing to carbon neutrali…

Hussein A M Hussein

This review examines the intersection of gas turbine condition-based maintenance and climate change, emphasizing emissions monitoring for operational efficiency and environmental sustainability. It highlights AI and data analytics advanceme…

Abdulkadir Gungor, Ahmet Nur, Sabir Rustemli +5

This study develops a hybrid data-driven framework combining machine learning and emission factor rescaling to predict campus-wide CO2 emissions. An Artificial Neural Network achieved the best predictive performance (RMSE=2.13 ton/year, R²=…

Afsaneh Norouzian, Sebastian Dickler, Isabel Kuperjans

This paper explores integrating high temperature heat pumps into paper drying processes to reduce industrial carbon emissions. It evaluates energy savings and feasibility, offering insights for decarbonization strategies in the paper indust…

Narjes Abbasabadi, Teresa F. Moroseos, Mehdi Ashayeri +1

This paper presents a scalable urban building energy modeling framework integrating machine learning and physics-based simulations to prioritize health-driven retrofit strategies for decarbonization. Applied to Seattle's Duwamish Valley, th…

Xiaowei Ge, Xiaowei Gu, Jinchi Han +7

This study investigates the effect of sodium-based desulfurization ash on low-carbon cementitious materials activated by calcium carbide residue and coal gasification slag. It evaluates mechanical properties, hydration mechanism, and ecolog…

Kaihan Xie, Ziad Ahmed, Chengyao Li +2

This study proposes microwave drying of thick sewage sludge with SiC reinforcement, achieving energy efficiency and valorization into low-carbon construction materials. It contributes to waste reduction and CO2 emission mitigation.