Article
Thermodynamics
Giovanni Barone, Annamaria Buonomano, Giovanni Francesco Giuzio, Adolfo Palombo
Summary: The purpose of this paper is to develop a simulation model for assessing and optimizing the cooling performance of new/existing infrastructures from an energy perspective. By optimizing the free cooling operation and thermal insulation, the cooling energy consumption can be decreased by 80% and 10% respectively.
Article
Energy & Fuels
Fritz Braeuer, Max Kleinebrahm, Elias Naber, Fabian Scheller, Russell McKenna
Summary: This paper emphasizes the importance of involving residential actors in the energy transition and discusses the legal frameworks, as well as the techno-economic and environmental implications. The study shows that certain economic technology combinations may fail to support national emissions mitigation goals and lead to lock-ins in Europe's largest residential building stock.
Article
Construction & Building Technology
Srinivas Yelisetti, Vikash Kumar Saini, Rajesh Kumar, Ravita Lamba, Akash Saxena
Summary: This study proposes a mathematical model for cost estimation of residential building energy consumption, considering indoor heat gains, outdoor temperature, outdoor illuminance, and TOU price. A total of 46 swarm intelligence based optimization algorithms are used to optimize different building parameters. The Bald Eagle search (BES) algorithm is found to be the best algorithm among all 46 SIAs. Based on economic analysis, the proposed study achieves cost savings of approximately 34% and 57% compared to existing and conventional models.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Mechanical
S. Boedo, V. N. Santhanam
Summary: The optimal shape design of hydrodynamic axisymmetric spherical bearings under transient axisymmetric pure squeeze conditions has been investigated using genetic algorithms. The study found that the GA-based optimal designs yield significantly larger impulse values compared to random designs or optimal ellipsoidal geometries. A sample design application demonstrated that an optimal GA-inspired composite clearance specification can be constructed, providing better bearing performance and being less sensitive to deviations in clearance shape, load impulse, and viscosity variation compared to similar variations in the optimal ellipsoidal design.
TRIBOLOGY INTERNATIONAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Herian Leyva, Juan Bojorquez, Eden Bojorquez, Alfredo Reyes-Salazar, Julian Carrillo, Francisco Lopez-Almansa
Summary: This study compares the optimal seismic design of traditional and buckling-restrained braces (BRBs) 3D-reinforced concrete (R/C) buildings using the non-dominated sorting genetic algorithm (NSGA-II) multi-objective technique. The results show that as the height of R/C buildings tend to increase, frames with BRBs are more economical and have similar level of structural performance compared to traditional moment resisting R/C framed buildings. Additionally, the application of genetic algorithms for structural design significantly improves structural performance and reduces the total structural cost of the buildings.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Artificial Intelligence
Yingfeng Chen, Rui Wang, Mengjun Ming, Shi Cheng, Yiping Bao, Wensheng Zhang, Chi Zhang
Summary: The study introduces a constraint multi-objective model to address the impact of load characteristics on the design of hybrid renewable energy systems, along with a corresponding algorithm to tackle this issue.
COMPLEX & INTELLIGENT SYSTEMS
(2022)
Article
Energy & Fuels
Salah Alghamdi, Waiching Tang, Sittimont Kanjanabootra, Dariusz Alterman
Summary: In this study, the optimization of architectural building design parameters for a single-story educational building in a warm temperate climate was demonstrated. The validated model achieved significant reductions in energy consumption and thermal discomfort hours compared to the baseline simulation model.
Article
Thermodynamics
Badr Chegari, Mohamed Tabaa, Emmanuel Simeu, Fouad Moutaouakkil, Hicham Medromi
Summary: This work presents a multi-objective optimization approach based on a smart surrogate model to improve energy consumption, thermal comfort, and energy self-sufficiency of residential buildings. The approach was successfully applied to a typical Moroccan building, achieving significant improvements in different climate zones. The results demonstrate the effectiveness of this approach in designing comfortable and nearly zero energy buildings.
Article
Construction & Building Technology
Basel Salaas, Gebrail Bekdas, Yasser E. Ibrahim, Sinan Melih Nigdeli, Mohamed Ezzat, Mahmoud Nawar, Aylin Ece Kayabekir
Summary: A passive hybrid control system consisting of a base-isolation subsystem and a tuned liquid column damper system was investigated for controlling high-rise structures under seismic excitations. The systems were optimized and numerical simulations were performed, showing that the base-isolation subsystem reduces structural responses by lowering the fundamental natural frequency, while the tuned liquid column damper system protects the base-isolation subsystem and reduces its displacements. Therefore, the proposed passive hybrid control system effectively reduces the structural responses under seismic excitations.
Article
Energy & Fuels
Peng Liu, Maria Justo Alonso, Hans Martin Mathisen
Summary: Energy-efficient building services are crucial for achieving zero-emission buildings while maintaining indoor environmental quality. Heat recovery in mechanical ventilation systems is an efficient approach to reduce heat losses and save energy. However, practical operating conditions and constraints of heat recovery have been less considered, and the design parameters that have the greatest impact on energy savings are unclear. This study proposes models that consider ventilation rate variations, heat conduction effects, and operating controls to analyze the annual efficiency and net energy savings of heat recovery ventilation. The results of this study can provide guidance for the design process and the optimization of heat recovery devices.
Article
Computer Science, Artificial Intelligence
Ashraf Mohamed Hemeida, Omaima M. Bakry, Al-Attar A. Mohamed, Eman A. Mahmoud
Summary: This paper discusses the combination of Genetic Algorithms and Stain Bowerbird Optimization algorithms to create a new hybrid technique GASBO. The GASBO is an optimization approach used to categorize and optimize renewable energy assets in energy generation complexes, emphasizing the impact of environmental factors and source positioning on energy outcomes.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
J. S. Chaves, J. S. Acosta, M. C. Tavares
Summary: This paper presents a mathematical model solved with genetic algorithm to design a collector system with optimized induced voltage and minimized project cost for a non-conventional distributed generation system. The trade-off between objectives and the Pareto optimal solutions were evidenced through several simulations.
IEEE TRANSACTIONS ON POWER DELIVERY
(2021)
Article
Green & Sustainable Science & Technology
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, Funlade Sunmola, Saheed Ajayi
Summary: Comparing different machine learning algorithms for energy performance assessment at the design stage of residential buildings, this research shows the feasibility of developing a high performing ML model. The Gradient Boosting (GB) model outperformed others with an accuracy of 0.67 in predicting building energy performance.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2022)
Article
Computer Science, Information Systems
Sunny Katyara, Muhammad Fawad Shaikh, Shoaib Shaikh, Zahid Hussain Khand, Lukasz Staszewski, Veer Bhan, Abdul Majeed, Madad Ali Shah, Leonowicz Zbigniew
Summary: This study uses a Genetic Algorithm to address the proper placement of new DGs in a distribution system and designs energy management models based on a fuzzy inference system, analyzing them in a simulated environment. The research concludes that the optimal placement for a 3.33 MVA synchronous DG is near the load center, and the proposed EMS effectively mitigates various contingencies within approximately 2.5 cycles of operation.
Article
Construction & Building Technology
Yu-Chung Tsao, Thuy-Linh Vu
Summary: The increased smartness of buildings and technological advancements aim to reduce the impact of climate change by implementing renewable energy, efficient energy management, and greenhouse gas emission reduction. By using the internet of things, sensors, and data analysis, energy management can optimize energy usage and maintain a balance between energy supply and demand. However, it is crucial to accurately determine the optimal number and placement of sensors in a building for an efficient distributed sensor system.
JOURNAL OF BUILDING ENGINEERING
(2023)
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)