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  • Open Access

    ARTICLE

    Acoustic Emission Characteristics of Different Bamboo and Wood Materials in Bending Failure Process

    Ting Wang1, Zhiqiang Wang1,*, Yin Yang1, Jianhui Zhou2,*

    Journal of Renewable Materials, Vol.10, No.2, pp. 527-540, 2022, DOI:10.32604/jrm.2022.017955

    Abstract The acoustic emission (AE) technique can perform non-destructive monitoring of the internal damage development of bamboo and wood materials. In this experiment, the mechanical properties of different bamboo and wood (bamboo scrimber, bamboo plywood and SPF (Spruce-pine-fir) dimension lumber) during four-point loading tests were compared. The AE activities caused by loadings were investigated through the single parameter analysis and K-means cluster analysis. Results showed that the bending strength of bamboo scrimber was 3.6 times that of bamboo plywood and 2.7 times that of SPF dimension lumber, respectively. Due to the high strength and toughness of bamboo, the AE signals of… More > Graphic Abstract

    Acoustic Emission Characteristics of Different Bamboo and Wood Materials in Bending Failure Process

  • Open Access

    ARTICLE

    Modeling CO2 Emission of Middle Eastern Countries Using Intelligent Methods

    Mamdouh El Haj Assad1, Ibrahim Mahariq2,*, Zaher Al Barakeh2, Mahmoud Khasawneh2, Mohammad Ali Amooie3

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3767-3781, 2021, DOI:10.32604/cmc.2021.018872

    Abstract CO2 emission is considerably dependent on energy consumption and on share of energy sources as well as on the extent of economic activities. Consequently, these factors must be considered for CO2 emission prediction for seven middle eastern countries including Iran, Kuwait, United Arab Emirates, Turkey, Saudi Arabia, Iraq and Qatar. In order to propose a predictive model, a Multilayer Perceptron Artificial Neural Network (MLP ANN) is applied. Three transfer functions including logsig, tansig and radial basis functions are utilized in the hidden layer of the network. Moreover, various numbers of neurons are applied in the structure of the models. It… More >

  • Open Access

    ARTICLE

    Impacts of Torrefaction on PM10 Emissions from Biomass Combustion

    Zihao Wang, Dunxi Yu*, Jingkun Han, Jianqun Wu

    Energy Engineering, Vol.118, No.5, pp. 1267-1276, 2021, DOI:10.32604/EE.2021.016107

    Abstract Typical biomass torrefaction is a mild pyrolysis process under conditions of ordinary pressure, low temperature (200–300°C) and inert atmosphere. Torrefaction is considered to be a competitive technology for biomass pretreatment, but its impacts on the emissions of particulate matter from biomass combustion are worthy of further study. In this paper, three kinds of biomass, i.e., bagasse, wheat straw and sawdust were selected for torrefaction pretreatment and the impacts of torrefaction on the emission characteristics of PM10 from biomass combustion were investigated. The combustion experiments were carried out on a drop tube furnace. The combustion-generated particulate and bulk ash samples were… More >

  • Open Access

    ARTICLE

    Optimization of Transducer Location for Novel Non-Intrusive Methodologies of Diagnosis in Diesel Engines

    S. Narayan1,*, M. U. Kaisan2, Shitu Abubakar2, Faisal O. Mahroogi3, Vipul Gupta4

    Sound & Vibration, Vol.55, No.3, pp. 221-234, 2021, DOI:10.32604/sv.2021.016539

    Abstract The health monitoring has been studied to ensure integrity of design of engine structure by detection, quantification, and prediction of damages. Early detection of faults may allow the downtime of maintenance to be rescheduled, thus preventing sudden shutdown of machines. In cylinder pressure developed, vibrations and noise emissions data provide a rich source of information about condition of engines. Monitoring of vibrations and noise emissions are novel non-intrusive methodologies for which positioning of various transducers are important issue. The presented work shows applicability of these diagnosis methodologies adopted in case of diesel engines. The effects of changing various fuel injection… More >

  • Open Access

    ARTICLE

    Will Coal Price Fluctuations Affect Renewable Energy Substitution and Carbon Emission? A Computable General Equilibrium-Based Study of China

    Wenhui Zhao1, Yibo Yin1,*, Lu Mao2, Konglu Zhong3, Guanghui Yuan4, Hai Huang5, Yige Yang6

    Energy Engineering, Vol.118, No.4, pp. 1009-1026, 2021, DOI:10.32604/EE.2021.014650

    Abstract Changes in the energy price system will determine the direction of evolution of the energy industry structure. As a country where coal is the dominant energy source, what is the effect of coal price fluctuations on China’s industry development costs and energy consumption structure? To investigate this problem, this paper utilized an economy–energy–environment computable general equilibrium model. In this study, four aspects were analyzed: Energy supply side, proportion of renewable energy consumption, macroeconomy, and changes in CO2 emissions. The results of this study show that an increase of 10%–20% in coal prices contributes to a shift into using renewable energy,… More >

  • Open Access

    ARTICLE

    Factor Decomposition and Regression Analysis of the Energy Related Carbon Emissions in Shandong, China: A Perspective of Industrial Structure

    Weifeng Gong1,2, Baoqing Zhu3, Chuanhui Wang1,*, Zhenyue Fan1, Mengzhen Zhao1, Liang Chen4

    Energy Engineering, Vol.118, No.4, pp. 981-994, 2021, DOI:10.32604/EE.2021.014554

    Abstract An in-depth study of the energy related carbon emissions has important practical significance for carbon emissions reduction and structural adjustment in Shandong Province and throughout China. Based on the perspective of industrial structure, the expanded KAYA equation to measure the energy related carbon emissions of the primary industries (Resources and Agriculture) and secondary industries (Manufacturing and Construction) and tertiary industries (Retail and Service) was utilized in Shandong Province from 2011 to 2017. The carbon emissions among industries in Shandong Province were empirically analyzed using the Logarithmic Mean Divisia Index decomposition approach. The results were follows: (1) Under the three industrial… More >

  • Open Access

    ARTICLE

    Adaptive Multi-Layer Selective Ensemble Least Square Support Vector Machines with Applications

    Gang Yu1,4,5, Jian Tang2,*, Jian Zhang3, Zhonghui Wang6

    Intelligent Automation & Soft Computing, Vol.29, No.1, pp. 273-290, 2021, DOI:10.32604/iasc.2021.016981

    Abstract Kernel learning based on structure risk minimum can be employed to build a soft measuring model for analyzing small samples. However, it is difficult to select learning parameters, such as kernel parameter (KP) and regularization parameter (RP). In this paper, a soft measuring method is investigated to select learning parameters, which is based on adaptive multi-layer selective ensemble (AMLSEN) and least-square support vector machine (LSSVM). First, candidate kernels and RPs with K and R numbers are preset based on prior knowledge, and candidate sub-sub-models with K*R numbers are constructed through utilizing LSSVM. Second, the candidate sub-sub-models with same KPs and… More >

  • Open Access

    ARTICLE

    Energy and Cost Analysis of Processing Flat Plate Solar Collectors

    Mamdouh El Haj Assad1,*, Ali Khosravi2, Mohammad AlShabi3, Bassam Khuwaileh3, Abdul-Kadir Hamid4

    Energy Engineering, Vol.118, No.3, pp. 447-458, 2021, DOI:10.32604/EE.2021.014590

    Abstract In this work, a life cycle analysis is accomplished for flat plate solar collectors. The purpose of this investigation is to predict the energy consumption during the manufacturing processes that results in carbon dioxide emissions. Energy consumption and system efficiency enhancement will be studied and predicted. CES EduPack software is used to perform the analysis of the currently commercial system, and the suggested changes are implemented to increase the efficiency and make the comparison. Even though cost analysis is done, the priority of selection is given to the most energy conserving and environmentally friendly alternative. However, if the compared alternatives… More >

  • Open Access

    ARTICLE

    Emission Behaviors of Submicron Particles (PM1) Generated by the Combustion of Sesame Stalk after Combined Water Washing and Carbonization Pretreatment

    Tianyu Liu1, Chang Wen1,2,3,*, Wenyu Wang1, Kai Yan3, Yongjun Xia4, Rui Li3, Juan Liu4, Yang Zhang1

    Energy Engineering, Vol.118, No.3, pp. 473-485, 2021, DOI:10.32604/EE.2021.014870

    Abstract Pretreatment before biomass combustion is significant for its efficient utilization and that combined water washing and carbonization can be efficient. An agricultural processing residues sesame stalk was selected and carried out two pretreatments separately, i.e., water washing-torrefaction (W-T) and torrefaction-water washing (T-W), to explore the effect on the fuel properties, combustion characteristics and particulate matter (PM) emission. The obtained biochar was also combusted under air and oxy50 (CO2:O2 = 50:50) conditions for the sake of investigating the effect of pretreatment and combustion atmosphere. The results indicate that, W-T and T-W both not only have great effect on the improvement of… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Co-Combustion of Pulverized Coal and Different Proportions of Refused Derived Fuel in TTF Precalciner

    Jiekun Zhu, Hongtao Kao*

    Journal of Renewable Materials, Vol.9, No.7, pp. 1329-1343, 2021, DOI:10.32604/jrm.2021.015079

    Abstract Based on the theory of computational fluid dynamics (CFD), pulverized coal combustion alone, and the co-combustion of pulverized coal and refuse-derived fuel (RDF) in a Trinal-sprayed calciner (TTF) precalciner were simulated. The results revealed that when coal was used as a single fuel, the velocity field in the precalciner had good symmetry, and formed three spray effects and multiple recirculation zones. The main combustion zone was distributed in the lower tertiary air and pulverized coal area, and the highest temperature reached up to 1,500 K. According to the simulation results, the predicted decomposing rate of raw meal was 90.12%, which… More >

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