Article
Engineering, Electrical & Electronic
Ye-Eun Jang, Young-Jin Kim, Joao P. S. Catalao
Summary: This article proposes a new strategy for optimizing the operation of HVAC systems in commercial buildings, utilizing artificial neural networks for modeling and a deterministic search algorithm for determining optimal set-points. Case studies show that the proposed strategy is effective in terms of HVAC energy cost, practical applicability, and training data requirements.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Construction & Building Technology
Yue Zhang, Xiaofeng Li
Summary: This research focuses on energy conservation in ventilation and air-conditioning systems of subway stations through developing operation strategies based on load calculation. By applying the methodology to subway stations with different characteristics in 3 climate zones, daily operation modes were given and analyzed, leading to lower levels of energy consumption. The significance lies in proposing a generalizable process for developing operation strategies tailored to specific conditions of subway stations.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
S. N. Bragagnolo, R. M. Schierloh, J. R. Vega, J. C. Vaschetti
Summary: This study proposes a demand response framework to minimize the energy cost and ensure thermal comfort of an air conditioning system. By using a genetic algorithm to solve the optimization problem, it achieves economic savings and improves thermal comfort compared to traditional on-off control strategies.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Environmental Sciences
Sunil Kumar, Maria D. King
Summary: COVID-19 spreads through air and HVAC approach can reduce virus spread. By simulating the diffusion of virus-laden droplets under different HVAC configurations, this study finds that low-speed air curtains can effectively remove aerosolized droplets, reducing the spread of disease.
ENVIRONMENTAL RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Yaa T. Acquaah, Balakrishna Gokaraju, Raymond C. Tesioro, Gregory Monty, Kaushik Roy
Summary: Human-in-the-loop HVAC control methods have gained attention for addressing occupants' discomfort in buildings. Previous studies have focused on thermal sensation and preference using the ASHRAE Thermal Comfort Database II and machine learning. However, none have investigated merging environmental parameters and thermal images to predict thermal comfort. This study used a fusion of environmental sensors and thermal images to predict comfort indices, achieving high accuracy and 45% energy savings.
IEEE SENSORS JOURNAL
(2023)
Article
Environmental Sciences
Su-Hoon Park, Se-Jin Yook, Hyun Bon Koo
Summary: This study compared and analyzed the effects of natural ventilation and air purifiers on virus spread in a classroom. The results showed that operating one or two air purifiers could significantly reduce the virus-containing aerosols in indoor air during winter, especially when combined with natural ventilation. However, adjustments should be made based on weather conditions and particulate matter concentrations during the use of these methods.
Article
Automation & Control Systems
Zhongying Chen, Jun Wang, Qing-Long Han
Summary: This article proposes a mixed-integer optimization problem for chiller plant operation planning with heterogeneous devices, aiming to minimize power consumption by considering various constraints, including energy conservation. Experimental results demonstrate that the proposed approach outperforms four mainstream methods in terms of power consumption wattage.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Environmental Sciences
Orouba Almilaji
Summary: This study raises a hypothesis regarding the role of poor ventilation systems in the spread of COVID-19 by analyzing data from the Diamond Princess outbreak, providing potential evidence of coronavirus transmission through aerosols. Differences in infection rates were observed after 5 days of quarantine, but were not statistically significant.
AEROSOL AND AIR QUALITY RESEARCH
(2021)
Article
Construction & Building Technology
Theresa Pistochini, Caton Mande, Subhrajit Chakraborty
Summary: Lowering the potential for airborne disease transmission in school buildings is crucial, and balancing health and energy consumption is important in ventilation and filtration measures. The study found that an improved filtration system reduced energy consumption by 31% compared to 100% outdoor air ventilation, and decreased infection probability by 29%. Additionally, activating cooling based on outdoor temperature setpoint using an economizer increased ventilation, reduced energy consumption, and lowered infection probability.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Thermodynamics
Xi Fang, Guangcai Gong, Guannan Li, Liang Chun, Pei Peng, Wenqiang Li, Xing Shi
Summary: This study proposes a TL-DRL integrated framework for transferring DRL control strategies in building HVAC systems. By pre-training in the source building and fine-tuning in the target building, this framework can effectively improve the training efficiency of control strategies.
Article
Construction & Building Technology
Ville Kukkonen, Ali Kucukavci, Mikki Seidenschnur, Mads Holten Rasmussen, Kevin Michael Smith, Christian Anker Hviid
Summary: This paper explores the challenges of information interoperability in the architecture, engineering, and construction (AEC) fields, with a focus on using linked data and semantic web technologies to establish an extendable data model. The study introduces the Flow Systems Ontology (FSO) for describing flow systems and their mass and energy flows, along with example models and SPARQL queries for validation. The main contribution is the development of FSO as a complementary ontology to existing ones, and a roadmap is introduced for future developments.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Construction & Building Technology
Chunwen Xu, Wenbing Liu, Xilian Luo, Xingyu Huang, Peter V. Nielsen
Summary: The global spread of COVID-19 poses a serious threat to human life and health. Research on aerosol transmission routes can help understand and improve ventilation system design to maximize control of epidemic risks.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Review
Energy & Fuels
Anatolijs Borodinecs, Jurgis Zemitis, Arturs Palcikovskis
Summary: This review article examines the application of computer vision and neural networks in HVAC control systems, with a focus on improving system performance through objectives such as human detection and location, human activity monitoring, skin temperature detection, and clothing level detection. The article also discusses the impact of factors such as indoor air quality, variable air volume ventilation, computer vision, metabolic rate, and human clothing isolation on final energy consumption.
Article
Engineering, Electrical & Electronic
Guofeng Wang, Xiaodong Yang, Wenhui Cai, Youbing Zhang
Summary: The paper presents an online optimization strategy for Regional Integrated Energy System (RIES) with HVAC loads, utilizing an event-triggered mechanism for automatic execution of scheduling signals and the Lyapunov optimization method for energy queue control and system stability. Numerical simulations demonstrate that the proposed method maximizes economic profit, improves RES utilization, and reduces HVAC dispatch frequency.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Hui Liu, Haimin Xie, Hui Luo, Junjian Qi, Hui Hwang Goh, Saifur Rahman
Summary: An optimal strategy is proposed in this article for HVAC systems in commercial buildings to ensure occupants' comfort while participating in frequency regulation. By considering the differences between indoor temperatures and setpoints, the strategy optimally distributes the task for frequency regulation according to HVAC systems' capacity. Simulations show that this strategy can improve frequency quality, reduce traditional generator regulation, and ensure occupants' comfort fairly.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Construction & Building Technology
Jawad Ahmad, Zhiguang Zhou
Summary: The addition of steel fibers and marble waste has a positive impact on the performance of self-compacting concrete (SCC) in aggressive environments, improving its mechanical properties, durability, and microstructure.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Kyungjae Lee, Hyunwoo Lim
Summary: Building energy code updates induce correlations among building parameters, which can affect data analysis. This study investigates the impact of these correlations through sensitivity analysis and Principal Component Analysis (PCA).
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
M. I. Nizovtsev, A. N. Sterlyagov
Summary: The effect of adding a layer of phase change material on the thermal inertia properties of the outer wall in lightweight building was numerically studied. It was found that in the regime of indoor air conditioning, adding a layer of paraffin in a foamed polyurethane wall can significantly reduce heat flux fluctuations on the inner wall surface. Additionally, locating the phase change material on the inner surface of the wall in the regime of daily in-phase fluctuations in the indoor and outdoor air temperatures produces the best effect.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Mingzhen Wang, Eric Hu, Lei Chen
Summary: This study proposes an innovative and sustainable condenser-cooling approach called Radiation-enhanced Thermal Diode Tank (RTDT) to assist in energy-saving for Refrigeration and Air-conditioning (RAC) systems. The research finds that the RTDT-RAC system can save up to 40% energy compared to the reference RAC system, with a higher Coefficient of Performance (COP) of 5.34. Additionally, the parametric analysis shows that regions with larger day and night ambient temperature differences, higher room temperature setpoints, and increased RHP radiative surface areas can effectively increase energy savings.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Hua Zhang, Xinyue Liu, Linjian Ma, Zeng Li
Summary: This study aims to investigate the impact of polypropylene (PP) fibers and aggregate contents on the mechanical performance of coral aggregate concrete (CASC). The results revealed that increasing the PP fiber contents and gravel replacement ratio significantly improved the dynamic compressive strength and toughness of CASC, while excessive fiber can have a detrimental effect. The study also developed a dynamic constitutive model that accurately predicted the stress-strain curve and mechanical properties of CASC.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Navid Moghaddas-Zadeh, Mahmood Farzaneh-Gord, William P. Bahnfleth
Summary: This study presents a general procedure for designing a hybrid chiller network using a Particle Swarm Optimization algorithm to determine the optimal configuration and chiller loading distribution. Life cycle cost analysis is used to select the optimal configuration. Simulations show that the best energy and economic choices depend on the natural gas and electricity price ratio.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Carolina Briceno, Miguel Azenha, Graca Vasconcelos, Paulo B. Lourenco
Summary: The conditioning of the brick units has an influence on the shear bond behavior of the unit-mortar interface. Longer immersion time improves the shear bond properties, while the cohesion values of premixed mortars are affected by the conditioning time.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Seong-Yong Cheon, Hye-Jin Cho, Jae-Weon Jeong
Summary: A dedicated outdoor air system (DOAS) assisted by an isothermal dehumidifier and an indirect evaporative cooler is proposed, and its energy-saving potential is evaluated based on detailed simulations. The results indicate that despite the free cooling operation by the indirect evaporative cooler, the proposed system consumes 10% more operating energy due to the low coefficient of performance (COP) of the isothermal dehumidifier. Improvements in the COP of the isothermal dehumidifier are required for comparable energy performance.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Xiaochen Ma, Wenchao Shi, Hongxing Yang
Summary: The actual wetting factor of the plate surface and the movement of spray droplets are important factors in the performance of indirect evaporative cooling (IEC) systems. A 3D computational fluid dynamics (CFD) model that considers these factors is proposed in this study. The model accurately predicts the performance of IEC systems and provides insights for further improvement.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Panagiota Theodoropoulou, Eleonora Brembilla, Roel Schipper, Christian Louter
Summary: This study develops an optimized glare-based control strategy for Venetian blinds in real-life buildings, aiming to improve visual conditions while saving energy. The results show that the optimized algorithm can significantly improve visual conditions for different activities in the building, although it may increase the use of electric lighting in certain cases.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Nari Yoon, Leslie Norford, Michael Wetter, Ali Malkawi
Summary: This study developed an analytical model for window operation schedules that leverages natural ventilation for different airflow rates, thermal masses, and climate variations. The research demonstrated that proper window scheduling can significantly reduce indoor temperature and save energy.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Haoran Cheng, Denghu Jing
Summary: This study investigated the reinforcement and compressive behavior of rat-trap bond walls using steel plate frames. The results showed that the steel plate frame effectively enhanced the compressive peak load of the wall, and increasing the steel plate thickness improved compressive strength and confinement effect. Nonlinear relations were observed between the preload ratio and the peak load, and local buckling of the steel plate frame was affected by the preload ratio. Finite element models were used to verify the experimental results, and calculation formulas for predicting the compressive peak load were developed and found to be accurate.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Bangyu Cheng, Jinlong Yang, Yucheng Fan, Zhi Ni, Ziyan Hang, Bowen Zeng, Huanxun Liu, Chuang Feng
Summary: This study investigates the property-microstructure relationships in graphene nanoplatelet (GNP) reinforced cement composites (GNPRCCs) using three-dimensional finite element modeling and experiments. The results reveal that GNPs aligned at 45 degrees have the most significant impact on enhancing load-bearing capacity and damage resistance of the composites. A larger GNP diameter-to-thickness ratio is beneficial for crack bridging and propagation control. The orientation and porosity of pores have significant effects on the damage behaviors of the composites, while pore shape shows negligible effects. These findings provide key guidelines for optimizing microstructural features and improving the performance and durability of construction materials.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Patrick N. Lemougna, Arnold Ismailov, Erkki Levanen, Pekka Tanskanen, Juho Yliniemi, Katja Kilpimaa, Mirja Illikainen
Summary: This study investigates the effect of glass wool waste on the sintering properties of kaolinitic and illitic clays in the ceramic industry. It was found that the addition of glass wool increased compressive strength at lower temperatures, while the addition of spodumene tailings mitigated firing shrinkage at higher temperatures.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Construction & Building Technology
Duidi Wu, Shuangdui Wu, Qianyou Zhao, Shuo Zhang, Jin Qi, Jie Hu, Borong Lin
Summary: This study proposes an intelligent elevator information system (IEIS) based on computer vision technology, which monitors elevator occupancy and guides demand-driven operation optimization to achieve energy-efficient management and efficient operation.
JOURNAL OF BUILDING ENGINEERING
(2024)
