Article
Chemistry, Multidisciplinary
Yipeng Chen, Baokang Dang, Jinzhou Fu, Chao Wang, Caicai Li, Qingfeng Sun, Huiqiao Li
Summary: In this study, a high-performance and inexpensive cooling structural material was developed by assembling delignified biomass cellulose fiber and inorganic microspheres. The material exhibited strong mechanical strength, excellent cooling properties, fire-retardant characteristics, and outdoor antibacterial performance, making it a promising candidate for high-performance cooling structural materials.
Article
Chemistry, Multidisciplinary
Xixi Piao, Yanwei Cao, Hanxiang Guo, Chunde Jin, Zhe Wang
Summary: By processing bamboo, we have created a high-performance and low-cost cooling structural material. This material has excellent mechanical strength and specific strength, as well as 24-hour continuous cooling, flame-retardant, and anti-fungal functions, making it a potential choice for future building structures.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2022)
Article
Biotechnology & Applied Microbiology
Satyajeet Bhonsale, Wannes Mores, Jan Van Impe
Summary: This paper focuses on optimizing the fermentation temperature profile and investigating the impact of parameter uncertainty on optimization. The study revealed that in the nonlinear beer fermentation model, the linearization approach performed the worst, while second-order polynomial chaos expansion worked the best.
FERMENTATION-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Patrick G. Mongan, Vedant Modi, John W. McLaughlin, Eoin P. Hinchy, Ronan M. O'Higgins, Noel P. O'Dowd, Conor T. McCarthy
Summary: This study investigates the ultrasonic welding technique for composite materials, aiming to optimize the welding process parameters and enhance the joint strength and visual quality through a parametric study and a machine learning model.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Engineering, Aerospace
Simao da Graca Marto, Massimiliano Vasile
Summary: This paper proposes a method to generate trajectories that are optimal with respect to multiple objectives and robust against epistemic uncertainty. The method models epistemic uncertainty with probability boxes and optimizes trajectories based on lower expectations on cost functions and constraint satisfaction. The paper introduces the calculation of lower expectation using Bernstein polynomials and an efficient many-objective optimization method. It also combines a surrogate model of lower expectation with dimensionality reduction technique to control the computational cost. The proposed approach is applied to the design of a rendezvous mission and considers uncertainties in thrust and engine outage in the trajectory.
Article
Thermodynamics
Wanli Peng, Dongya Li, Jiahao Wu, Zeeshan Riaz, Jucan Dong, Qi Qin
Summary: The aim of this study is to analyze the energetic performance of a novel hybrid cooling system that combines thermoelectric and radiative sky cooling mechanisms. The study proposes a thermodynamic model for the hybrid system, solves for the operating temperatures of the thermoelectric cooler, discusses the effects of various system variables on effectiveness and water production rate, and evaluates and compares the performances of the entire system and the thermoelectric cooler. The results show that the hybrid system has high effectiveness and water production rate, and is more efficient than other existing air water generators.
APPLIED THERMAL ENGINEERING
(2023)
Article
Engineering, Environmental
Tengfei Wu, Zeqiang Zhang, Tao Yin, Yu Zhang
Summary: In this study, a human-machine collaborative cell-level disassembly model of waste power battery modules (WPBMs) is proposed. The reliability and validity of the model are verified through a case study with WPBMs from the Tesla Model S. Two different disassembly schemes are obtained based on actual data, which optimize four objectives simultaneously. The proposed model provides decision-makers with additional options when considering the number of workers as an enterprise risk indicator.
Article
Chemistry, Multidisciplinary
Yu-Hsuan Chen, Ching-Wen Hwang, Sih-Wei Chang, Meng-Ting Tsai, Kavya Nair Jayakumaran, Ling-Chu Yang, Yu-Chieh Lo, Fu-Hsiang Ko, Hsueh-Cheng Wang, Hsuen-Li Chen, Dehui Wan
Summary: Eco-friendly transparent silk radiative cooling (TSRC) films, made from natural silkworm cocoons, are developed for zero-energy-consumption thermal management of optoelectronic devices. These films dissipate heat through molecular vibrations and have high visible transparency. After spectroscopic optimization, the maximum cooling power during the daytime and nighttime is improved to 77.6 and 101.7 W m(-2), respectively.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Qimeng Song, Thomas Tran, Kai Herrmann, Holger Schmalz, Markus Retsch
Summary: Plastic pollution has caused environmental issues and recycling challenges. This study proposes a new strategy to reuse aluminum-plastic laminates (APL) for passive daytime cooling applications. By coating the reflective layer of APL waste and applying a high emissive polydimethylsiloxane layer, a promising and flexible passive cooling foil is constructed. The low-cost APL waste-based passive cooling foil will contribute to energy and environmental issues.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Engineering, Electrical & Electronic
Pengfei Liu, Sangwok Bae, Jaebum Noh, Minjeong Kim, Jae Won Heo, Donghee Son, Joohoon Kang, Junsuk Rho, Sunae So, Jin Gu Kang, In Soo Kim
Summary: This article reviews the development of radiative cooling technology and various improvement strategies. It discusses the advancement of functional radiative coolers that combine different functionalities while maintaining the performance of radiative cooling. The article also explores methods to achieve switchable optical contrast and provides insights on the best measurement practices for accurate performance evaluation of functional radiative cooling.
ACS APPLIED ELECTRONIC MATERIALS
(2023)
Article
Thermodynamics
Tianjun Liao, Qidong Xu, Yawen Dai, Chun Cheng, Qijiao He, Meng Ni
Summary: By combining RC and TER, the temperature span can be significantly improved, leading to better thermal management and power generation performance.
Article
Green & Sustainable Science & Technology
Elyas Asadi Shamsabadi, Masoud Salehpour, Peyman Zandifaez, Daniel Dias-da-Costa
Summary: A multicollinearity-aware multi-objective optimisation (MA-MOO) framework was developed to minimize environmental issues and production cost of green concrete, while maintaining compressive strength. This was achieved using machine learning and a novel set of constraints to eliminate multicollinearity. Testing the framework with a dataset of 2644 concrete mixes, the extreme gradient boosting machine (XGBM) achieved the best performance (RMSE 4.3 MPa). The framework allowed for the design of mixes with significantly reduced production cost and environmental impact.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Industrial
M. Rivier, P. M. Congedo
Summary: This paper presents the SABBa method to address constrained multi-objective optimization problems under uncertainty, aiming to improve accuracy and reduce computational costs using bounding boxes and surrogate-assisting strategy. The method demonstrates good performance in several analytical test cases and is successfully applied to three engineering applications.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Materials Science, Multidisciplinary
Xiongbo Yang, Shumin Yao, Xinyu Tan, Yiteng Tu, Jialin Geng, Guiguang Qi, Yulong Qiao, Ruizhen Xu, Yanli Zhang
Summary: Passive daytime radiative cooling technology cools objects by reflecting sunlight and radiating heat into outer space, without requiring additional energy. A flexibly hierarchical porous PDMS radiative cooling film was fabricated, which has high emissivity and reflectance, resulting in a significant temperature drop.
Article
Engineering, Industrial
Biao Zhang, Quan-ke Pan, Lei-lei Meng, Xin-li Zhang, Xu-chu Jiang
Summary: Lot streaming is a widely used technique to overlap successive operations. This study addresses the multi-objective hybrid flowshop rescheduling problem with consistent sublots (MOHFRP_CS) and proposes a multi-objective migrating birds optimisation algorithm based on decomposition (MMBO/D). The algorithm decomposes the problem into sub-problems, dynamically adjusts the weights assigned to the sub-problems, and employs a global update strategy. Experimental results demonstrate that MMBO/D outperforms other state-of-the-art multi-objective evolutionary algorithms for the addressed problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(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)