GX & Decarbonization Research

Bera M.

This paper discusses innovative technologies and strategic measures for improving energy efficiency to achieve net zero emissions. It provides a conceptual framework without specific case studies or quantitative analysis.

Evans S.

This paper examines the social housing stock in Islington, London, and its pathway to net zero. It analyzes current energy efficiency and renewable energy potential, offering policy recommendations for decarbonizing social housing.

Paraskevas I.

This paper discusses the critical role of IoT in enabling the UK's built environment transition to net zero. IoT technologies enable monitoring and control of energy use, contributing to building efficiency and emission reductions.

Haroon M.

This review examines the role of waste heat recovery in the Pakistan cement industry for achieving net-zero emissions by mid-century, highlighting challenges and opportunities for decarbonization in hard-to-abate sectors.

Tirelli D.

This narrative review comprehensively synthesizes strategies for achieving net zero carbon buildings, including energy efficiency, renewable energy integration, and life-cycle assessment. It identifies key barriers and enablers for adoption…

Landsberg D.R.

This paper discusses criteria for determining whether a building operates at net zero energy or zero carbon, highlighting the importance of energy efficiency and carbon reduction in building operations.

Hosseinzadeh-Bandbafha H.

This study applies data envelopment analysis to evaluate energy efficiency and greenhouse gas emission reduction in fattening farms. It measures relative efficiency and identifies improvement potential for inefficient farms, contributing to…

Somantri A.

This paper provides a systematic review of greenhouse gas (GHG) emission reduction architectures in computer science. It surveys existing research on efficient algorithms and green computing methods, offering insights for future work in sus…

Xuanhan Fan, Rui Ding, Haojie Liu +5

This paper proposes an agent-driven ant colony optimization tuning method for energy-efficient 3D pipe routing. Implemented in a web-based environment, it aims to reduce energy consumption in industrial piping design.

K. Ramu, M. Karthiga, R. Santhoshkumar +5

This paper proposes energy-efficient IoT-blockchain systems for urban resilience in disaster mitigation and recovery. While details are unavailable, the focus on energy efficiency links to GX indirectly.

Samuel Aires Master Lazaro, Xiaofeng Li, Vanessa Fathia Baba

This study develops a scalable framework to evaluate expanded polystyrene (EPS) insulation for residential buildings in Mozambique. A 95mm roof insulation reduces annual cooling energy by 30.1% and CO2 emissions by 13.52%, with a discounted…

Abellani Yulitasari, Popi Puspitasari

This study evaluates carbon neutrality in a residential area in Indonesia by analyzing carbon emissions, vegetation sequestration, and occupant behavior. Based on 49 households, operational emissions from electricity dominate, ranging from …

(著者不明)

This paper discusses how laser additive manufacturing (3D printing) can contribute to a carbon-neutral society by improving material efficiency and reducing energy consumption compared to traditional manufacturing processes.

Ayooluwa Timothy Okunlola, O. A. Ibitoye

This thematic review examines Interlocking Stabilized Soil Blocks (ISSB) as a sustainable building material for mixed-use buildings in Lagos, Nigeria. Analyzing 15 studies (2022–2025), it finds ISSB offers adequate compressive strength, imp…

Fanyu Meng, Yanteng Li, Ziliang Zhao +4

This study proposes a Markov Chain Divergence-Convergence Domain (MC-DCD) method for generating representative driving cycles with high accuracy and speed. Validated using real-world data from Qingdao, it achieved an average statistical dev…

E. Mahesh, Kethiri Pradeep Reddy, Shaik Sohail Thanveer +1

This study applies machine learning models (Logistic Regression, XGBoost, Extra Trees) and a hybrid Neuro-Tree Fusion (NTF) model integrating Graph Polynomial Neural Network and Deep Neural Decision Tree to classify carbon emission reductio…

J. Singh

This review examines hybrid nanofluids as advanced heat-transfer media to enhance energy efficiency in low-carbon chemical processes. By combining two or more nanoparticles, they offer synergistic improvements in thermal conductivity and st…

P. Dutta, Vasileios Paliktzoglou, S. Shambhavi +2

This study proposes an Adaptive Digital Twin (ADT) framework for cement kilns, fusing real-time data with a Markov Chain-based reaction rate model to predict and control chemical transformations. A reinforcement learning controller optimize…

Marina Yesica Recalde

This paper reviews the 'energy efficiency gap' in the industrial sector, analyzing barriers that prevent cost-effective efficiency improvements. It argues that supply-side renewable energy expansion alone is insufficient, making demand-side…

Jinyu Wang, Rongqiang Xu, Shanshan Ye

This study measures China's interprovincial industrial green efficiency index from 2005-2022 using the super-efficiency SBM model and analyzes driving factors with the geographical detector method. Industrial governance has the largest driv…