GX & Decarbonization Research

Yuhua Zhang, Jianhui Wang, Hua Xue

This paper presents a Park Integrated Energy System (PIES) model with multiple energy storage and V2G components, and proposes an adaptive comprehensive fitness multi-objective particle swarm optimization algorithm. EV scheduling boundaries…

Yue Xu, Linyu Wu, Q P Wang +5

This paper uses system dynamics to model the urban power system of Jinan, China, identifying four key factors under three regulatory dimensions (industrial structure, energy storage technology, energy consumption intensity). The optimal sce…

Jie Yang, Can Wu, Kuisong Li +1

This paper proposes a hybrid game-theoretic dispatch method for multi-regional integrated energy systems with shared energy storage, integrating carbon emission trading and green certificate trading. The hierarchical Stackelberg-cooperative…

Yunrui Zhao, Hui Luo, Baojie He

This study develops ternary low-carbon gelling materials from red mud, mineral powder, and soda residue. The optimal sample (MRS16) achieved 51.3 MPa compressive strength (43.7% increase), 43.2% lower drying shrinkage, and 73.9% reduced mas…

Ying Liu

This paper proposes an optimization model for environmental benefits of a photovoltaic-coal hybrid power generation system using an improved particle swarm optimization (PSO) algorithm. The hybrid system integrates PV and coal models via sy…

Marina Clausi, A. Fernández‐Jiménez, Gianluca Girardi +2

This study develops low-carbon alkali-activated binders from mechanochemically activated illitic, carbonate-rich clays, avoiding calcination to reduce CO2 emissions from cement production. The method eliminates the need for high-temperature…

Rasmus Pettinen, Sahas Shah, Tansu Galimova +3

This study evaluates low-carbon energy carriers (e-fuels, battery electric, hybrid) for non-road mobile machinery across four use cases: agriculture, forestry, port, and construction. It finds that no single solution fits all; the feasibili…

Chuang Li, Liping Deng, Tongtong Lei +1

This study develops an evolutionary game model integrating regret theory and pair approximation to analyze low-carbon consumption diffusion. It finds that economic thresholds determine adoption equilibrium, social network density affects di…

Seyed Reza Hosseini, Ayat Gharehghani, Jabraeil Ahbabi Saray

This paper proposes a low-carbon biomass power generation system integrating the Allam cycle and chemical looping combustion. The system enables efficient CO2 capture and potentially negative emissions.

Liu Liu, Jun Zhu

This study constructs dual networks for low-carbon basic and applied research using patent and publication data, and employs ERGMs and MERGMs to explain formation factors and dependencies. Key findings: for basic research networks, collabor…

Sivakumar Sivalingam, Ganesh Duraisamy, V. Charles Augustin

This study investigates the combined effect of low-carbon fuels DME and CBG in a HCCI engine, evaluating combustion and emissions to show cleaner fuel potential.

Anson T. Y. Ho, Adrien Desroziers, Kim P. Huynh +1

This paper quantifies tail risk from extreme temperature in the Northeastern American low-carbon electricity system. Using a Vine copula on hourly data from 2019-2023, it finds that on heat-wave days, U.S. shortfalls exceed local low-carbon…

Zilian Li, Guixian Tian, Bakhtawer Ayub +1

This paper examines how clean energy, Industry 4.0, and fintech can drive low-carbon transitions in Persian Gulf economies, offering policy insights for decarbonizing resource-dependent regions.

Muhammad Raza Punjwani, Jaweed Ali Thaheem, Muhammed Ahsan Niaz, Ali Zain Ul Abdeen, Shafique Ahmed Soomro, Mansoor

A comprehensive review of renewable and sustainable energy systems for a low-carbon future, covering energy sources, sustainability dimensions, and future challenges.

Shiyi Pan, Xiaojun Yin, Yongcheng Huang +3

This study investigates the effects of injection strategy on combustion and emissions of a compound injection engine using multiple low-carbon fuels. Results suggest that optimal injection strategies can improve combustion efficiency and re…

Han Sun, Keping Li, Yuanxi Xu +1

This paper constructs a multi-objective optimization model driven by urban rail transit to achieve low-carbon transport, minimizing CO2 emissions and travel costs while maximizing travel quality and public transport utilization. Using an im…

Yufei Xi, Xinyi Wang, Lin Cheng +4

This paper explores the potential of industrial green microgrids for low-carbon transformation. It provides insights from case studies on integrating renewable energy and improving energy efficiency, offering pathways toward sustainable ind…

Derick Asirvatham, Mayra T. de Grazia, Leandro Sanchez

This study evaluates low-carbon mortar mixtures with high limestone filler content (up to 52%) and reduced cement. It shows that mobility parameters (IPS, MPT) strongly influence rheology and hardened properties, with MPT being the most cri…

Yuyi Liu, Q Wang, Qin Yang +5

This study analyzes the low-carbon transformation of China's construction industry under dual carbon targets and the resulting demands on civil engineers. It quantifies carbon emissions across the building lifecycle and proposes a three-dim…

Manuel Sánchez Dieguez, Klara Schure, Robert Koelemeijer +2

This paper presents IESA, a hybrid simulation-optimization framework that combines agent-based modeling with cost optimization to evaluate low-carbon policy instruments. Applied to the Netherlands, it shows that while renewables diffuse und…