Article
Energy & Fuels
Dac-Khuong Bui, Tuan Ngoc Nguyen, Abdallah Ghazlan, Tuan Duc Ngo
Summary: This study presents a design of biomimetic adaptive facade (BAF) based on bioinspiration to enhance building energy efficiency, validated in Melbourne and Texas. Results show that the proposed BAF can significantly reduce energy consumption compared to benchmark facades in both locations. The impact of window-to-wall ratio and orientation on energy and cost efficiency were also investigated, confirming the potential of BAF in improving building energy efficiency.
Article
Computer Science, Artificial Intelligence
Lianglin Cao, Kerong Ben, Hu Peng, Xian Zhang
Summary: The modified firefly algorithm, called the visual firefly algorithm (VFA), is proposed in this paper to improve the efficiency of solving continuous optimal problems. By combining the assumption of fireflies' visual field with designed strategies to balance exploration and exploitation, VFA provides suitable solutions for most CEC2013 problems with different dimensions and maintains robust performance as the problems become more complex.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Software Engineering
Leyan Shi, Somayeh Pouramini
Summary: This article proposes a computational optimization method based on the structure of the adaptive facade to improve energy efficiency in buildings. The method can be applied to different building types and effectively reduces energy consumption.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Computer Science, Information Systems
Tejna Khosla, Om Prakash Verma
Summary: The Bacterial foraging algorithm-firefly algorithm (BFA-FA) is a novel hybrid algorithm that improves the optimization performance in complex landscapes. It provides accurate solutions, avoids local optima, and works well on multimodal and multidimensional landscapes. The proposed algorithm shows statistically significant difference among other algorithms and demonstrates its robustness and applicability on engineering problems.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Jia Zhao, Dandan Chen, Renbin Xiao, Juan Chen, Jeng-Shyang Pan, Zhihua Cui, Hui Wang
Summary: This paper proposes a multi-objective firefly algorithm with adaptive region division to address the issues of single optimization strategy and poor comprehensive performance of MOFA. By introducing distinct learning strategies and region divisions, the algorithm improves the exploration, development, and balance capabilities, and further enhances the comprehensive optimization performance through a fusion index.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Ran Tao, Zeng Meng, Huanlin Zhou
Summary: The study focuses on the performance of Firefly Algorithm (FA) in engineering design problems and introduces an improved version with self-adaptive strategy (SAFA). By balancing the relationship between exploration and exploitation using self-adaptive strategies, the algorithm's performance is enhanced. When optimizing classical and CEC 2015 benchmark functions, SAFA achieves the best solutions in most cases.
APPLIED SOFT COMPUTING
(2021)
Article
Mathematical & Computational Biology
Shuang Tan, Shangrui Zhao, Jinran Wu
Summary: Optimization problems are common in engineering and scientific research, and meta-heuristics provide a promising solution. The firefly algorithm (FA) imitates the behavior of fireflies and has been improved, but still has limitations. To overcome these limitations, this study proposes Q-learning based on the adaptive logarithmic spiral-Levy flight firefly algorithm (QL-ADIFA), which enhances the algorithm by leveraging the firefly's awareness and memory. Numerical experiments demonstrate that QL-ADIFA outperforms existing methods on benchmark functions and engineering problems.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Article
Construction & Building Technology
Kyosuke Hiyama, Yuichi Omodaka
Summary: This study proposed a method of applying machine learning based on building physics, successfully solving the issue of unstable air conditioning system operation in intermediate seasons, demonstrating that a simple machine learning algorithm can be more effective in building operations.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Thermodynamics
Wen Zheng, Xiao Xu, Yuan Huang, Feng Zhu, Yuyan Yang, Junyong Liu, Weihao Hu
Summary: This paper proposes an optimal scheduling model for smart commercial buildings, considering electric vehicle charging and multiple market mechanisms. Uncertainties are dealt with using Monte Carlo simulation and robust adaptive optimization method.
Review
Green & Sustainable Science & Technology
Rudai Shan, Lars Junghans
Summary: This study presents a systematic review of optimization methods for building facade optimization (BFO), comparing the efficiency and effectiveness of different algorithms. Key findings highlight the robust feasibility and effectiveness of optimization algorithms, methods, and techniques in resolving a diverse range of BFO challenges.
Article
Chemistry, Multidisciplinary
Jianing Li, Xuegang Lu, Yin Zhang, Xiaoxiang Wen, Kangkang Yao, Fei Cheng, Dingchen Wang, Xiaoqin Ke, Hao Zeng, Sen Yang
Summary: This study demonstrates an adaptive thermoresponsive smart window that achieves temperature response by embedding ethylene glycol solution microdroplets into polydimethylsiloxane. The window shows high transparency and bidirectional transparency-temperature response, and the critical temperature can be adjusted by tuning the concentration of the ethylene glycol solution.
Article
Food Science & Technology
Rekha Chaturvedi, Abhay Sharma, Anuja Bhargava, Jitendra Rajpurohit, Pushpa Gothwal
Summary: The Internet and its applications have led to a massive amount of data, particularly in the form of images, which has provided researchers with vast opportunities for data analysis. Image processing is crucial for improving the understanding of images, and various image processing steps can enhance images in different application areas. Many applications, such as medical imaging, face recognition, biometric security, fruit quality evaluation, and traffic surveillance, heavily rely on image analysis and segmentation. This paper focuses on multi-level thresholding for accurately segmenting different types of fruits, proposing a modified Firefly Algorithm (FA) that optimizes fuzzy parameters to obtain optimal thresholds. The algorithm utilizes levy flight and local search for improved performance. The proposed method is evaluated quantitatively and qualitatively on apple, banana, mango, and orange images using parameters like peak signal-to-noise ratio (PSNR) and structured similarity index metric (SSIM).
FOOD ANALYTICAL METHODS
(2022)
Article
Energy & Fuels
Jacopo Gaspari, Kristian Fabbri
Summary: Adaptive facades offer a viable and effective solution to reduce building energy demand for cooling and enhance aesthetic effects. This study aims to provide a simplified algorithm to evaluate design decisions during the early design stage.
Article
Agricultural Engineering
Yaohui Ji, Yahui Zhang, Xiaoxia Wang, Dezhi Zhang, Fangda Zhang, Yuxiang Huang, Yanglun Yu, Wenji Yu, Rongxian Zhu
Summary: This study developed a reversible thermochromic transparent bamboo with temperature-adaptive functions by incorporating thermochromic microcapsule powder. The bamboo is colorless and highly transparent at low temperatures, but turns purple with low transmittance at high temperatures, providing a visually cool impression. The highest tensile strength (77.79 MPa) and lowest thermal conductivity (0.225 W m-1 K-1) were achieved with a powder amount of 3 wt %.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Thermodynamics
Yizhe Xu, Chengchu Yan, Shanhui Yan, Huifang Liu, Yan Pan, Faxing Zhu, Yanlong Jiang
Summary: This paper presents a multi-objective optimization method for the application of electrochromic window technology to the envelope design of primary and secondary school classrooms. The feasibility and effect of electrochromic window technology in the classroom are discussed through sensitivity analysis, and an adaptive meta-model method is used to improve the model's accuracy and stability. The results show improved indicators for the optimized schemes compared to traditional design schemes.
Article
Engineering, Civil
Huu-Tai Thai, Quang Vu Ho, Wenqian Li, Tuan Ngo
Summary: This study investigates the structural robustness of modular high-rise buildings through numerical modeling and parametric analysis, and proposes design recommendations for improving their stability.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Mechanics
Linh Van Hong Bui, Chanakan Klippathum, Nakares Kongmalai, Pitcha Jongvivatsakul, Tuan Duc Ngo, Boonchai Stitmannaithum
Summary: This study investigates the shear performance of rectangular concrete beams strengthened with embedded through-section (ETS) glass fiber-reinforced polymer (GFRP) bars using analytical and numerical methods. The bonding-based approach is formulated and validated, and a finite element method (FEM) is used to simulate the shear behaviors of the strengthened beams. The results demonstrate the potential of the bonding-based approach and the analytical model for assessing the shear resistance of ETS-GFRP-strengthened beams.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Mechanics
Rajendra Prasad Bohara, Steven Linforth, Tuan Nguyen, Abdallah Ghazlan, Tuan Ngo
Summary: This paper introduces a protective sandwich structure with dual-mechanism auxetic compression and tension behavior and evaluates its protective performance through numerical simulations. The results show that the sandwich structure has excellent performance in terms of energy absorption, stress mitigation, and deflection control, and offers better protection compared to an equivalent solid structure.
COMPOSITE STRUCTURES
(2022)
Review
Engineering, Civil
Rajendra Prasad Bohara, Steven Linforth, Tuan Nguyen, Abdallah Ghazlan, Tuan Ngo
Summary: Auxetics are a class of structural metamaterials with superior properties, such as higher energy absorption, enhanced indentation resistance, and improved mechanical properties, compared to conventional structures. They are gaining popularity as lightweight, high-performance protective structures against blast and impact loads. However, a comprehensive overview of the anti-blast and impact performances of different auxetic structures is still needed. This paper aims to review recent advances in auxetic-based lightweight, high-energy absorbing protective structures and discusses the design factors, classification of topologies, fabrication, and evaluation methods. Overall, auxetic core sandwich panels offer superior protective performance but face limitations and challenges in design, fabrication, and implementation.
ENGINEERING STRUCTURES
(2023)
Article
Chemistry, Physical
Son Tay Le, Tuan Ngoc Nguyen, Steven Linforth, Tuan Duc Ngo
Summary: This paper conducts a quantitative risk assessment to study the safety of hydrogen storage systems. The study finds that storage capacity and pressure have the greatest impact on risk assessment. It emphasizes the importance of risk analysis and considering cost-effective risk mitigation measures in the design of hydrogen storage systems.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Civil
Rajendra Prasad Bohara, Steven Linforth, Huu-Tai Thai, Tuan Nguyen, Abdallah Ghazlan, Tuan Ngo
Summary: This paper investigates the crushing behaviour and protective performance of an innovative auxetic structure, named the hourglass structure (HGS), under in-plane compressive loads. The study includes experimental, numerical, and theoretical analyses to uncover the characteristics and propose a theoretical model to predict the plateau stress of HGS.
THIN-WALLED STRUCTURES
(2023)
Article
Energy & Fuels
Tay Son Le, Tuan Ngoc Nguyen, Dac-Khuong Bui, Tuan Duc Ngo
Summary: This paper presents the design and operation optimization of hydrogen/battery/hybrid energy storage systems considering component degradation and energy cost volatility. The study examines a real-world case study and demonstrates that the system in the tropical zone always provides a superior return when compared to a similar system in the temperate zone due to abundant solar resources. The results show that battery systems perform better than hydrogen systems in many situations, but if there is high seasonal variation and a high requirement for using renewable energy, using hydrogen for energy storage is more beneficial.
Article
Construction & Building Technology
Tianchun Wang, Rackel San Nicolas, Tuan Ngoc Nguyen, Ali Kashani, Tuan Ngo
Summary: Recycled glass is a sustainable alternative to sand in concrete, but the alkali-silica reaction (ASR) poses challenges for its widespread adoption. This study investigates the long-term ASR expansion of mortar containing glass through experimental and numerical analyses. Experimental results show that the size fraction of 1.18-2.36 mm caused the highest ASR expansion, while sizes smaller than 0.6-1.18 mm were found to be innocuous. The validated numerical model accurately predicts ASR expansion and reveals that internal damage becomes more homogeneous with increasing content of reactive aggregate.
CEMENT & CONCRETE COMPOSITES
(2023)
Article
Engineering, Civil
Rajendra Prasad Bohara, Steven Linforth, Huu-Tai Thai, Tuan Nguyen, Abdallah Ghazlan, Tuan Ngo
Summary: This paper optimises the design of an auxetic structure called the hourglass structure (HGS) to improve its protection performance. A 3D numerical model is developed and validated through experiments, and then automated numerical analyses are conducted with randomly generated design variables to determine the best compromise design. The optimized HGS design outperforms the baseline structure under both quasi-static and blast loadings, making it suitable for high-performance protective sandwich structures.
ENGINEERING STRUCTURES
(2023)
Article
Construction & Building Technology
Son Tay Le, Tuan Ngoc Nguyen, Dac-Khuong Bui, Quang Phuc Ha, Tuan Duc Ngo
Summary: This study investigates the effects of finger-joint design parameters on the flexural behavior of finger-jointed timber beams through numerical modeling and optimization. The results indicate that the number of fingers and finger length significantly influence the load capacity, while the tip thickness has a marginal effect. Furthermore, a multi-objective optimization algorithm is proposed to simultaneously maximize the joint resistance and minimize material waste.
Article
Engineering, Civil
Abdolreza Ataei, Seyed Ali Mahmoudy, Mehran Zeynalian, Alireza A. Chiniforush, Tuan D. Ngo
Summary: Cold-formed steel (CFS) members have limitations in their application due to buckling and instability. This study proposed a novel demountable composite connection for prefabricated CFS structures. The connection's behavior was evaluated through push-out tests, and the results showed that higher thickness of CFS members exhibited superior strength and ductility. The importance of proportionate CFS section thickness for shear connectors was emphasized. The accuracy of a numerical model in simulating the observed behavior was confirmed, and appropriate formulas for predicting the ultimate load of the composite connection were proposed. Predictions by EC4, AISC, and AISI provisions were found to be significantly less accurate.
THIN-WALLED STRUCTURES
(2023)
Article
Construction & Building Technology
Mohsen Rezaei Shahmirzadi, Aliakbar Gholampour, Alireza Kashani, Tuan D. Ngo
Summary: This study investigates the use of geopolymer mixtures in concrete 3D printing to reduce cement consumption and natural resource exploitation. By adding alternative materials and thixotropic agents, the performance of the geopolymer mixtures was improved. The results show that replacing natural sand with lead smelter slag can increase compressive strength and decrease drying shrinkage. These findings are significant for improving the structural integrity of 3D printed products.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
