Article
Computer Science, Artificial Intelligence
Qingtao Zhao, Jennie Si, Jian Sun
Summary: This work introduces a new event-driven dHDP method, which proves the UUB of system states and weights in networks, showing approximate control and cost functions approaching Bellman optimality. The algorithm is compared to the original time-driven dHDP to demonstrate its effectiveness.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Construction & Building Technology
Jiaming Wang, Tianyi Zhao
Summary: The coupling characteristics of control loops in HVAC systems' optimization process greatly impact control effectiveness and system stability, especially during the diffusion process of quality and quantity parameters. This study investigates the real-time diffusion characteristics of medium parameters in a pipeline network from the perspective of online decoupling control. An online application mechanism is proposed to enhance the online feasibility of dynamic characteristics in practical systems and leads to new directions for online optimization of HVAC systems. Simulation analysis identifies the qualitative and quantitative relations between delayed response time and constitutive parameters in the pipeline network, which is essential in selecting control period and optimization timing during decoupling control in practice. The simulation results and online feasibility are experimentally verified in an actual HVAC system, showing high accuracy and applicability. This research provides valuable reference for time-oriented optimization of online decoupling control in practice and serves as a theoretical foundation for future studies.
ENERGY AND BUILDINGS
(2022)
Article
Engineering, Electrical & Electronic
Chao Duan, Guna Bharati, Pratyush Chakraborty, Bo Chen, Takashi Nishikawa, Adilson E. Motter
Summary: The study reports on a real-time demand response experiment with 100 controllable devices, identifying key challenges in the deployment of such programs. To address these challenges, a two-level multi-loop control structure integrating feed-forward proportional-integral controllers and optimization solvers in closed loops was developed and implemented to improve the overall building response dynamical performance. The proposed methods were validated through Hardware-in-the-Loop (HiL) tests.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Guanyu Tian, Qun Zhou Sun, Wenyi Wang
Summary: This paper presents a novel HVAC flexibility quantification method based on semidefinite programming. By reformulating the non-convex problem of HVAC power optimization, the proposed method provides real-time flexibility quantification results. Physic-based HVAC model is incorporated to ensure the reliability and accuracy of the solutions. The quantification results are organized into a table, providing response strategies for flexibility adjustment.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Energy & Fuels
Gustavo Campos, Yu Liu, Devon Schmidt, Joseph Yonkoski, Daniel Colvin, David M. Trombly, Nael H. El-Farra, Ahmet Palazoglu
Summary: Recent studies show that predictive methodologies have great potential in HVAC systems operations, especially in achieving cost savings in response to electricity price and ambient temperature variations. This study focuses on closed-loop scheduling of a large-scale chiller plant with TES tank under a Day-Ahead electricity price program, highlighting the benefits of an optimization-based operational strategy.
Article
Automation & Control Systems
Lloyd MacKinnon, Christopher L. E. Swartz
Summary: Real-time optimization (RTO) is a valuable tool for economic optimization of chemical process systems. This paper extends the formulation of closed-loop dynamic RTO (CL-DRTO) to include uncertainty handling. A robust multi-scenario CL-DRTO scheme is introduced to model the dynamic behavior of the plant and its MPC system under uncertainty, and its performance is evaluated in nonlinear case studies.
JOURNAL OF PROCESS CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Himanshu Akolkar, Sio-Hoi Leng, Ryad Benosman
Summary: Optical flow is essential for early visual processing of dynamic scenes in new applications. This paper proposes a novel multi-scale plane fitting based visual flow algorithm that is robust to the aperture problem and computationally efficient.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Engineering, Civil
Shuofeng Zhao, Chunting Chris Mi
Summary: The BTM system is crucial for the safety and comfort of electric vehicles, yet challenges arise in maintaining a balance between accuracy and cost efficiency. A two-stage predictive control strategy is proposed to optimize temperature trajectory and energy consumption effectively, demonstrating significant improvements in set-point tracking and energy saving.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Dongling Geng, Jun Yan, Qi Xu, Qi Zhang, Mengfang Zhou, Zhirui Fan, Haijiang Li
Summary: This paper presents a real-time topology optimization algorithm based on the Moving Morphable Component (MMC) method using a Convolutional Neural Network (CNN). The algorithm uses a new data pre-processing method to preserve the numerical characteristics and smoothness of the structure boundary, facilitating the CNN to capture data features with a limited sample set. The effectiveness of the algorithm has been verified with several examples.
ENGINEERING STRUCTURES
(2023)
Article
Electrochemistry
Matthew T. Flavin, Charles A. Lissandrello, Jongyoon Han
Summary: Selective ion extraction is important for resource recovery systems, and carrier-based membranes are used to remove specific ions from brine and waste streams. However, these membranes have inconsistent outcomes in their practical applications. To study the non-ideal behaviors of target-ion selective membranes, researchers have introduced a direct, real-time measurement system and applied it in carrier-based membrane systems.
ELECTROCHIMICA ACTA
(2022)
Article
Energy & Fuels
Dafang Zhao, Daichi Watari, Yuki Ozawa, Ittetsu Taniguchi, Toshihiro Suzuki, Yoshiyuki Shimoda, Takao Onoye
Summary: This paper proposes a data-driven online energy management framework for optimizing the operation of HVAC systems to reduce energy consumption and improve thermal comfort. The experimental results demonstrate that the framework effectively reduces energy consumption and peak power demand in both HVAC cooling and heating operations.
Article
Energy & Fuels
Hui Guo, Dandan Gong, Lijun Zhang, Wenke Mo, Feng Ding, Fei Wang
Summary: The study proposes a time-decoupling layered optimization strategy to achieve low-carbon and economic operation of energy and transportation systems under dynamic hydrogen pricing. The strategy utilizes a dynamic hydrogen pricing mechanism and user-centric routing optimization method to optimize the performance of distributed energy stations and hydrogen-powered vehicles.
Article
Geography, Physical
Sun Yaqin, Xu Chen, Wu Jinxiong, Yuan Hang, Shi Haibo, Zhan Xiumei, Zhang Lin
Summary: Supporting distributed real-time collaborative work is an important development trend in GIS. This paper presents a design and prototype of a RCGIS based on multi-view and geo-event driven mechanisms, and discusses the collaboration process and synchronization strategy of a geo-event driven GIS.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2022)
Article
Engineering, Ocean
Hui Sheng Lim, Peter King, Christopher K. H. Chin, Shuhong Chai, Neil Bose
Summary: This study describes the implementation of an online path planner in an autonomous underwater vehicle (AUV) system using the open-source system architecture MOOS-IvP. The path planner employs a path replanning scheme and the SDEQPSO algorithm, and is implemented based on a modular framework to ensure robustness during mission. Experimental results demonstrate that the path planner can seamlessly run with hardware in real time, generating and continuously refining safe and feasible paths in dynamic and unexplored environments.
APPLIED OCEAN RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Jose Matias, Johannes Jaeschke
Summary: This paper introduces a new method that can adapt the model structure online, estimate parameters, and optimize economically in the face of uncertain system changes.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Thermodynamics
Tianyi Zhao, Jiaming Wang, Chao Liu, Pengmin Hua, Ying Zhou, Yu Zhao
SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT
(2020)
Article
Thermodynamics
Tianyi Zhao, Jiaming Wang, Chao Liu, Yu Zhao
Summary: This paper focuses on the retrofit of the ventilation system while reserving the original VAV system, discussing a combination of VAV system and dedicated outdoor air system (VAV-DOAS). Experimental results show that the presented VAV-DOAS can save energy consumption in winter and summer conditions in Dalian. Additionally, an economic evaluation method is proposed to assess the economy of retrofitting a VAV-DOAS system from the VAV system.
SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT
(2021)
Article
Energy & Fuels
Tianyi Zhao, Jiaming Wang, Peng Fu, Xiaoyan Wu
Summary: This paper comprehensively studies the cooling water system from the perspective of online application, proposing an easily implemented control method to improve global efficiency. Simulation results show that the proposed control strategy is superior in both global COP and energy saving compared to conventional control methods, with potential energy consumption savings of 0.37% and 3.45%, respectively.
ENERGY SCIENCE & ENGINEERING
(2021)
Article
Construction & Building Technology
Jiaming Wang, Tianyi Zhao
Summary: The coupling characteristics of control loops in HVAC systems' optimization process greatly impact control effectiveness and system stability, especially during the diffusion process of quality and quantity parameters. This study investigates the real-time diffusion characteristics of medium parameters in a pipeline network from the perspective of online decoupling control. An online application mechanism is proposed to enhance the online feasibility of dynamic characteristics in practical systems and leads to new directions for online optimization of HVAC systems. Simulation analysis identifies the qualitative and quantitative relations between delayed response time and constitutive parameters in the pipeline network, which is essential in selecting control period and optimization timing during decoupling control in practice. The simulation results and online feasibility are experimentally verified in an actual HVAC system, showing high accuracy and applicability. This research provides valuable reference for time-oriented optimization of online decoupling control in practice and serves as a theoretical foundation for future studies.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Parth Bansal, Steven Jige Quan
Summary: This study investigates the relationship between urban form and canopy layer urban heat island (CUHI) using a relatively large sample of microclimate sensors in Seoul, Korea. The study compares different statistical models and finds that the spatially explicit gradient boosting decision tree (GBDT) model has the highest accuracy. The study also shows that the effect of urban form on CUHI varies at different time instances during the day. These findings provide valuable insights for planners to understand the complexity of urban climate and reduce CUHI magnitude.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Miaomiao Liu, Salah Almazmumi, Pinlu Cao, Carlos Jimenez-bescos, John Kaiser Calautit
Summary: Windcatchers provide effective low-energy ventilation and summer passive cooling in temperate climates. However, their use in winter is limited due to significant ventilation heat loss and potential discomfort. This study evaluates the applicability of windcatchers in low-temperature conditions, highlighting the need for control strategies to reduce over-ventilation and the integration of heat recovery or thermal storage to enhance winter thermal conditions.
BUILDING AND ENVIRONMENT
(2024)
Review
Construction & Building Technology
Behrouz Nourozi, Aneta Wierzbicka, Runming Yao, Sasan Sadrizadeh
Summary: This article presents a systematic review of ventilation solutions in hospital wards, aiming to enhance pathogen removal performance while maintaining patient and healthcare staff comfort using air-cleaning techniques. The study reveals the importance of proper ventilation systems in reducing infection risk and adverse effects of cross-contamination.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhen Yang, Weirong Zhang, Hongkai Liu, Weijia Zhang, Mingyuan Qin
Summary: The study examines the influence of personalized local heating on the thermal comfort of occupants in old residential buildings. The findings reveal that personalized local heating can increase the overall thermal sensation of occupants, but only a few methods are effective in enhancing thermal comfort. The chosen heating methods and background temperature affect the participants' selection of heating parts.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Hong Cheng, Dan Norback, Huilin Zhang, Liu Yang, Baizhan Li, Yinping Zhang, Zhuohui Zhao, Qihong Deng, Chen Huang, Xu Yang, Chan Lu, Hua Qian, Tingting Wang, Ling Zhang, Wei Yu, Juan Wang, Xin Zhang
Summary: The home environment and sick building syndrome (SBS) symptoms in five southern Chinese cities have been studied over time. The study found a decrease in asthma prevalence and an increase in allergic rhinitis. Cockroaches, rats, mice, mosquitoes or flies were identified as consistent biological risk factors for SBS symptoms, while redecoration, buying new furniture, and traffic air pollution were identified as other risk factors.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Chaojie Xing, Zhengtao Ai, Zhiwei Liu, Cheuk Ming Mak, Hai Ming Wong
Summary: This study experimentally investigated the emission characteristics of droplets around the mouth during dental treatments. The results showed that the peak mass fraction of droplets occurs within the size range of 20 μm to 100 μm, and droplets with a diameter less than 200 μm account for over 80% of the mass fraction. The dominant emission direction of droplets is towards the dummy's head and chest, forming an approximately cone shape.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhijian Liu, Zhe Han, Lina Hu, Chenxing Hu, Rui Rong
Summary: This study compared the effects of different respiratory behaviors on the distribution of aerosols in a ward and the risk of infection for healthcare workers using numerical simulation. It was found that talking in the ward significantly increased aerosol concentrations, particularly short periods of talking. Wards designed with side-supply ventilation had lower overall infection risk. Talking alternately between healthcare workers and patients slightly extended the impact time of aerosols.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Yan, Mengyuan Kang, Haodong Zhang, Zhiwei Lian, Xiaojun Fan, Chandra Sekhar, Pawel Wargocki, Li Lan
Summary: In a high-density city, opening windows for sleep may lead to increased indoor temperature, higher PM2.5 concentration, and noise disturbance, which can negatively impact sleep quality.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Bai, Liang Liu, Kai Liu, Shuai Yu, Yifan Shen, Di Sun
Summary: This study developed a non-intrusive personal thermal comfort model using machine learning techniques combined with infrared facial recognition. The results showed that the ensemble learning models perform better than traditional models, and the broad learning model has a higher prediction precision with lower computational complexity and faster training speed compared to deep neural networks. The findings provide a reference for optimizing building thermal environments.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yue Lei, Zeynep Duygu Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong
Summary: Mixed-mode ventilation is a promising solution for achieving energy-efficient and comfortable indoor environments. This study found that occupants can thermally adapt when switching between natural ventilation (NV) and air-conditioning (AC) modes within the same day, with the adaptation process stabilizing between 35 to 45 minutes after the mode switch. These findings are important for optimizing thermal comfort in mixed-mode controls, considering the dynamic nature of thermal adaptation.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Nan Mo, Jie Han, Yingde Yin, Yelin Zhang
Summary: This study develops a method based on the LCZ framework for a comprehensive evaluation of urban-scale heat island effects, considering the impact of geographic factors on LST. The results show that Guilin's geomorphological conditions lead to abnormal heat island effects during winter, and the cooling effects of mountains and water bodies vary seasonally in different built areas, with LCZ 2 exhibiting the strongest cooling effect.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Tunga Salthammer
Summary: Monitoring the potential formaldehyde emission of wood-based materials through test chamber investigations has significantly contributed to reducing indoor formaldehyde concentrations. However, the different methodologies used in these procedures prevent direct result comparison. Empirical models for converting formaldehyde steady-state concentrations based on temperature, humidity, air change rate, and loading were developed in the 1970s and have been modified to accommodate the development of lower-emitting materials. Formaldehyde emissions from wood-based materials are complex and require nonlinear regression tools for mathematical analysis.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Katarina Stebelova, Katarina Kovacova, Zuzana Dzirbikova, Peter Hanuliak, Tomas Bacigal, Peter Hartman, Andrea Vargova, Jozef Hraska
Summary: This study investigated the impact of reduced short-wavelength light on the hormone melatonin metabolite 6-sulfatoxymelatonin (u-sMEL) and examined the association between previous day's light exposure and u-sMEL. It was found that reducing short-wavelength light during the day did not change the concentration of u-sMEL. Personal photopic illuminance was positively correlated with u-sMEL in the reference week. The illuminance had a significant impact on u-sMEL, as shown by the evaluation of the mean of all three urine samples. However, this correlation was not found in the experimental week.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Ruoxin Xiong, Ying Shi, Haoming Jing, Wei Liang, Yorie Nakahira, Pingbo Tang
Summary: This study proposes a data-model integration method to identify and calibrate uncertainties in machine learning models, leading to improved thermal perception predictions. The method utilizes the Multidimensional Association Rule Mining algorithm to identify biased human responses and enhances prediction accuracy and reliability. The study also evaluates different calibration techniques and discovers their potential in enhancing prediction reliability.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Beichao Hu, Zeda Yin, Abderrachid Hamrani, Arturo Leon, Dwayne McDaniel
Summary: This paper introduces an innovative super-resolution approach to model the air flow and temperature field in the cold aisle of a data center. The proposed method reconstructs a high-fidelity flow field by using a low-fidelity flow field, significantly reducing the computational time and enabling real-time prediction.
BUILDING AND ENVIRONMENT
(2024)