GX & Decarbonization Research

Tetsuro Yoshida, Eric Zusman

This paper examines how to integrate the health benefits of nature-based solutions (NbS) into urban climate policies, using Kawasaki, Japan as a case study. It proposes a framework for reflecting synergies between climate adaptation and hea…

Janina Harmanen, Anne Viljanen, Charlotta Harju +2

This paper analyzes the factors for developing business ecosystems around urban nature-based solutions (NBS) based on evidence from Finland. It highlights the importance of multi-stakeholder collaboration and viable business models for scal…

Olufunmilola A. Obakin, Oluranti M. Oladunmoye, Ireoluwa D. Olukayode +3

This study investigates architectural Nature-Based Solutions (NbS) in Ibadan, Nigeria, using a mixed-methods survey of 287 residents. Residents recognize NbS for thermal comfort and stress reduction but cite unequal access and governance ch…

Erik Andersson, Brenda Lin

This paper argues that for nature-based solutions (NbS) to be sustainable long-term, they need socio-cultural activation through biocultural practices that engage communities. It highlights the role of Indigenous and local ecological knowle…

Muhammad Ariyon, Ellyan Sastraningsih, Fitrianti Fitrianti +1

This paper reports the development and implementation of a CCS educational model for oil and gas vocational high schools in Indonesia. Through workshops and module development, it improved student and teacher understanding of CCS and GHG mi…

Chongye Wang, Weidong Guo, Siyuan Yin +2

This paper proposes a novel two-bed eight-step radial bed VPSA process for high-throughput carbon capture from dry flue gas. The design aims to improve efficiency and throughput, contributing to CCUS technology advancement.

Bonugu Dimple, Rama Rao Karri, Kunal Achintya Reddy +3

This study proposes a machine learning framework (GBDT, XGBoost, LightGBM, stacking ensembles) to predict CO2 uptake of biomass-derived porous carbon materials. The RF+SVR stacking model achieved high predictive accuracy and identified key …

Rafailia Mitraki, Grégoire Léonard

This paper quantifies the impact of flue gas pre-treatment steps, previously overlooked in techno-economic assessments of CCS routes, and shows that including them can lead to higher actual costs than conventional estimates, underscoring th…

Roger Braun Ledesma, Giovanni dos Santos Batista, Marçal Rodrigues Pires +1

This study investigates the combined use of coal fly ash (CFA) and CFA-derived zeolite in oil well cement for CCS. Blends were tested under CO2-saturated conditions at 90°C and 15 MPa. The 5Z10CFA formulation showed improved reactivity, mic…

Shadfar Davoodi, Mohammad Moosazadeh, Geovanny Branchiny Imasuly +3

This review comprehensively overviews the application of explainable AI (XAI) to subsurface carbon capture, utilization, and storage (CCUS) systems. XAI improves interpretability of complex subsurface processes, enhancing safety and efficie…

Eduardo G. Pereira, Alberto Fossà, Maria Eduardo Oliveira Rocha +5

This paper assesses the role of bioenergy with carbon capture and storage (BECCS) in achieving negative emissions for climate change mitigation. It analyzes the effectiveness and challenges of BECCS, exploring its potential contribution to …

G Li, Hongxin Guo, Jian Kang +5

This corrigendum refers to a framework that uses machine learning to optimize multi-scale spatial forms within urban blocks for low-carbon performance. It analyzes the relationship between building morphology and energy consumption, aiding …

Lu Tang, Weiwen Sun, Dongdong Zhang

This study examines how characteristics of cycling travel vlogs (content dissemination, interactivity, entertainment) influence viewers' low-carbon travel intention using the S-O-R framework. Analyzing data from 407 Chinese cycling vlog use…

(著者不明)

This article outlines the role of chemical engineering in achieving low-carbon development, emphasizing contributions from young scientists. It is a perspective piece without specific technical details or data.

Xin Huang, Shucan Zhou, Jian Xiong +3

This paper proposes a robust planning method for park integrated energy systems (PIESs) considering multi-time-scale uncertainties and an elastic demand response mechanism. It models an energy flow framework including cooling, heating, elec…

Neng Shen, Xiaofei Shang, Wenna Guo

This study uses resource dependence theory to analyze the formation mechanisms of collaboration networks in low-carbon innovation. Based on Chinese data, it empirically examines the factors driving network emergence.

Jeevanjot Singh Chagger, Ashish Thakur, Pema Chheda +1

This study investigates the valorization of sugarcane bagasse ash, an agricultural waste, for use in low-carbon concrete. It demonstrates potential for reducing cement content and thus CO2 emissions while maintaining concrete performance.

Yuanyuan Hao

Using panel data from 31 Chinese provinces (2000-2024) with kernel density estimation and spatial econometrics, this study examines how climate policy uncertainty (CPU) affects low-carbon energy transition (LET). Results show CPU significan…

김홍길

This study identifies barriers to upcycling spent coffee grounds for carbon neutrality in the coffee industry using meta-analysis and expert interviews, revealing technical, economic, and institutional challenges.

Nivetha Martin, Rajkumar S, Said Broumi

This study proposes an integrated neutrosophic MCDM framework with AI (random forest, SHAP) for selecting Li-ion batteries for BEVs. Unlike simple weighted sum methods, it applies multiple MCDM techniques to determine criterion weights and …