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  • Open Access

    ARTICLE

    Study of Hygrothermal Behavior of Bio-Sourced Material Treated Ecologically for Improving Thermal Performance of Buildings

    Soumia Mounir1,2,*, Miloudia Slaoui2, Youssef Maaloufa1,2, Fatima Zohra El Wardi2,3, Yakubu Aminu Dodo4,5, Sara Ibn-Elhaj2, Abdelhamid Khabbazi2

    Journal of Renewable Materials, Vol.12, No.5, pp. 1007-1027, 2024, DOI:10.32604/jrm.2024.049392

    Abstract Creating sustainable cities is the only way to live in a clean environment, and this problem can be solved by using bio-sourced and recycled materials. For this purpose, the authors contribute to the valuation of sheep wool waste as an eco-friendly material to be used in insulation. The paper investigates the thermal, hygrothermal, and biological aspects of sheep wool by testing a traditional treatment. The biological method of aerobic mesophilic flora has been applied. Fluorescence X was used to determine the chemical composition of the materials used. Also, thermal characterization has been conducted. The thermal… More >

  • Open Access

    ARTICLE

    Detecting Malicious Uniform Resource Locators Using an Applied Intelligence Framework

    Simona-Vasilica Oprea*, Adela Bâra

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3827-3853, 2024, DOI:10.32604/cmc.2024.051598

    Abstract The potential of text analytics is revealed by Machine Learning (ML) and Natural Language Processing (NLP) techniques. In this paper, we propose an NLP framework that is applied to multiple datasets to detect malicious Uniform Resource Locators (URLs). Three categories of features, both ML and Deep Learning (DL) algorithms and a ranking schema are included in the proposed framework. We apply frequency and prediction-based embeddings, such as hash vectorizer, Term Frequency-Inverse Dense Frequency (TF-IDF) and predictors, word to vector-word2vec (continuous bag of words, skip-gram) from Google, to extract features from text. Further, we apply more… More >

  • Open Access

    ARTICLE

    Bio-PCM Panels Composed of Renewable Materials Interact with Solar Heating Systems for Building Thermal Insulation

    Yosr Laatiri, Habib Sammouda, Fadhel Aloulou*

    Journal of Renewable Materials, Vol.12, No.4, pp. 771-798, 2024, DOI:10.32604/jrm.2024.047022

    Abstract This article aims to present the feasibility of storing thermal energy in buildings for solar water heating while maintaining the comfort environment for residential buildings. Our contribution is the creation of insulating composite panels made of bio-based phase change materials (bio-PCM is all from coconut oil), cement and renewable materials (treated wood fiber and organic clay). The inclusion of wood fibers improved the thermal properties; a simple 2% increase of wood fiber decreased the heat conductivity by approximately 23.42%. The issues of bio-PCM leakage in the cement mortar and a roughly 56.5% reduction in thermal… More > Graphic Abstract

    Bio-PCM Panels Composed of Renewable Materials Interact with Solar Heating Systems for Building Thermal Insulation

  • Open Access

    ARTICLE

    Multi-Time Scale Optimal Scheduling of a Photovoltaic Energy Storage Building System Based on Model Predictive Control

    Ximin Cao*, Xinglong Chen, He Huang, Yanchi Zhang, Qifan Huang

    Energy Engineering, Vol.121, No.4, pp. 1067-1089, 2024, DOI:10.32604/ee.2023.046783

    Abstract Building emission reduction is an important way to achieve China’s carbon peaking and carbon neutrality goals. Aiming at the problem of low carbon economic operation of a photovoltaic energy storage building system, a multi-time scale optimal scheduling strategy based on model predictive control (MPC) is proposed under the consideration of load optimization. First, load optimization is achieved by controlling the charging time of electric vehicles as well as adjusting the air conditioning operation temperature, and the photovoltaic energy storage building system model is constructed to propose a day-ahead scheduling strategy with the lowest daily operation… More >

  • Open Access

    ARTICLE

    Research on Sleeve Grouting Density Detection Based on the Impact Echo Method

    Pu Zhang1, Yingjun Li1, Xinyu Zhu1, Shizhan Xu1, Pinwu Guan1,*, Wei Liu2, Yanwei Guo2, Haibo Wang2

    Structural Durability & Health Monitoring, Vol.18, No.2, pp. 143-159, 2024, DOI:10.32604/sdhm.2024.046986

    Abstract Grouting defects are an inherent challenge in construction practices, exerting a considerable impact on the operational structural integrity of connections. This investigation employed the impact-echo technique for the detection of grouting anomalies within connections, enhancing its precision through the integration of wavelet packet energy principles for damage identification purposes. A series of grouting completeness assessments were meticulously conducted, taking into account variables such as the divergent material properties of the sleeves and the configuration of adjacent reinforcement. The findings revealed that: (i) the energy distribution for the high-strength concrete cohort predominantly occupied the frequency bands More >

  • Open Access

    ARTICLE

    Experimental Study of Heat Transfer in an Insulated Local Heated from Below and Comparison with Simulation by Lattice Boltzmann Method

    Noureddine Abouricha1,*, Ayoub Gounni2, Mustapha El Alami2

    Frontiers in Heat and Mass Transfer, Vol.22, No.1, pp. 359-375, 2024, DOI:10.32604/fhmt.2024.047632

    Abstract In this paper, experimental and numerical studies of heat transfer in a test local of side heated from below are presented and compared. All the walls, the rest of the floor and the ceiling are made from plywood and polystyrene in sandwich form ( plywood- polystyrene- plywood) just on one of the vertical walls contained a glazed door (). This local is heated during two heating cycles by a square plate of iron the width , which represents the heat source, its temperature is controlled. The plate is heated for two cycles by an adjustable… More >

  • Open Access

    ARTICLE

    Classification and clustering of buildings for understanding urban dynamics

    A framework for processing spatiotemporal data

    Perez Joan1, Fusco Giovanni1, Sadahiro Yukio2

    Revue Internationale de Géomatique, Vol.31, No.2, pp. 303-327, 2022, DOI:10.3166/RIG.31.303-327©2022

    Abstract This paper presents different methods implemented with the aim of studying urban dynamics at the building level. Building types are identified within a comprehensive vector-based building inventory, spanning over at least two time points. First, basic morphometric indicators are computed for each building: area, floor-area, number of neighbors, elongation, and convexity. Based on the availability of expert knowledge, different types of classification and clustering are performed: supervised tree-like classificatory model, expert-constrained k-means and combined SOM-HCA. A grid is superimposed on the test region of Osaka (Japan) and the number of building types per cell and More >

  • Open Access

    ARTICLE

    Clustering building morphometrics using national spatial data

    Alessandro Araldi1, David Emsellem2, Giovanni Fusco1, Andrea Tettamanzi3, Denis Overal2

    Revue Internationale de Géomatique, Vol.31, No.2, pp. 265-302, 2022, DOI:10.3166/RIG.31.265-302©2022

    Abstract The identification and description of building typologies play a fundamental role in the understanding of the overall built-up form. A growing body of research is developing and implementing sophisticated, computer-aided protocols for the identification of building typologies. This paper shares the same goal. An innovative data-driven procedure for the unsupervised identification and description of building types and organization is here presented. After a specific pre-processing procedure, we develop an unsupervised clustering combining a new algorithm of Naive Bayes inference and hierarchical ascendant approaches relying on six morphometric features of buildings. This protocol allows us to More >

  • Open Access

    REVIEW

    The Application of Solid Waste in Thermal Insulation Materials: A Review

    Ming Liu1, Pinghua Zhu2,*, Xiancui Yan2, Haichao Li2, Xintong Chen2

    Journal of Renewable Materials, Vol.12, No.2, pp. 329-347, 2024, DOI:10.32604/jrm.2023.045381

    Abstract As socioeconomic development continues, the issue of building energy consumption has attracted significant attention, and improving the thermal insulation performance of buildings has become a crucial strategic measure. Simultaneously, the application of solid waste in insulation materials has also become a hot topic. This paper reviews the sources and classifications of solid waste, focusing on research progress in its application as insulation materials in the domains of daily life, agriculture, and industry. The research shows that incorporating household solid waste materials, such as waste glass, paper, and clothing scraps into cementitious thermal insulation can significantly… More >

  • Open Access

    ARTICLE

    The Effects of Thickness and Location of PCM on the Building’s Passive Temperature-Control–A Numerical Study

    Zhengrong Shi1,3, Jie Ren1, Tao Zhang1,3,*, Yanming Shen2,*

    Energy Engineering, Vol.121, No.3, pp. 681-702, 2024, DOI:10.32604/ee.2023.045238

    Abstract Building energy consumption and building carbon emissions both account for more than 20% of their total national values in China. Building employing phase change material (PCM) for passive temperature control shows a promising prospect in meeting the comfort demand and reducing energy consumption simultaneously. However, there is a lack of more detailed research on the interaction between the location and thickness of PCM and indoor natural convection, as well as indoor temperature distribution. In this study, the numerical model of a passive temperature-controlled building integrating the developed PCM module is established with the help of… More > Graphic Abstract

    The Effects of Thickness and Location of PCM on the Building’s Passive Temperature-Control–A Numerical Study

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