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  • Open Access

    ARTICLE

    Simulation Study of Diesel Spray Tilt Angle and Ammonia Energy Ratio Effect on Ammonia-Diesel Dual-Fuel Engine Performance

    Zhifeng Zhao, Xuelong Miao*, Xu Chen, Jinbao Zheng, Yage Di, Zhenjie Bao, Zhuo Yang

    Energy Engineering, Vol.121, No.9, pp. 2603-2620, 2024, DOI:10.32604/ee.2024.051237 - 19 August 2024

    Abstract Ammonia-diesel dual fuel (ADDF) engines for transportation applications are an important way to reduce carbon emissions. In order to achieve better combustion of ammonia in diesel engines. A small-bore single-cylinder engine was converted into an ADDF engine with the help of mature computational fluid dynamics (CFD) simulation software to investigate the performance of an engine with a high ammonia energy ratio (AER), and to study the effect of spray tilt angle on ADDF engine. The results showed that the increase in AER reduced nitric oxide (NO) and nitrogen dioxide (NO) emissions but increased nitrous oxide… More >

  • Open Access

    ARTICLE

    Energy Design and Optimization of Greenhouse by Natural Convection

    H. Benzzine, H. Labrim, Aouatif Saad*, Y. Achour, D. Zejli, R. El Bouayadi

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.8, pp. 1903-1913, 2024, DOI:10.32604/fdmp.2024.050557 - 06 August 2024

    Abstract This study addresses the pressing need for energy-efficient greenhouse management by focusing on the innovative application of natural ventilation. The primary objective of this study is to evaluate various ventilation strategies to enhance energy efficiency and optimize crop production in agricultural greenhouses. Employing advanced numerical simulation tools, the study conducts a comprehensive assessment of natural ventilation’s effectiveness under real-world conditions. The results underscore the crucial role of the stack effect and strategic window positioning in greenhouse cooling, providing valuable insights for greenhouse designers. Our findings shed light on the significant benefits of optimized ventilation and More > Graphic Abstract

    Energy Design and Optimization of Greenhouse by Natural Convection

  • Open Access

    ARTICLE

    Response of Bacterial Community and Enzyme Activity of Greenhouse Tomato under Different Irrigation Systems

    Haijian Yang1, Mingzhi Zhang1,*, Na Xiao1, Yuan Li2

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1543-1568, 2024, DOI:10.32604/phyton.2024.050915 - 30 July 2024

    Abstract The micro-sprinkler irrigation mulched (MSM) has been suggested as a novel water-saving approach in controlled environment agriculture. However, the effects of microbial community structure and enzyme activity in the rhizosphere soil on crop growth under MSM remain unclear. This study conducted a randomized experimental design using greenhouse tomatoes to investigate changes in bacterial community structure and enzyme activity in rhizosphere soil under different irrigation frequencies (F) and amounts (I) of MSM. The findings revealed that with the increase of F or I, The total count of soil bacteria in tomatoes first rose and then fell… More >

  • Open Access

    ARTICLE

    Pioneering Micro-Scale Mapping of Urban CO Emissions from Fossil Fuels with GIS

    Loghman Khodakarami*

    Revue Internationale de Géomatique, Vol.33, pp. 221-246, 2024, DOI:10.32604/rig.2024.050908 - 15 July 2024

    Abstract Urban areas globally are escalating contributors to carbon dioxide (CO) emissions, challenging sustainable development. This study proposes a novel micro-scale approach utilizing GIS to quantify CO emission spatial distribution, enhancing urban sustainability assessment. Employing a “bottom-up” methodology, emissions were calculated for various sources, revealing Isfahan’s urban area emits 13,855,525 tons of CO annually. Major contributors include stationary and mobile sources such as power plants (50.61%), road and rail transport (17.18%), and residential sectors (21.78%). Spatial distribution mapping showed that 81.68% of CO emissions originate from stationary sources, notably power plants. Furthermore, mobile sources, including road More >

  • Open Access

    ARTICLE

    Evaluating the Effects of Aquaculture Wastewater Irrigation with Fertilizer Reduction on Greenhouse Tomato Production, Economic Benefits and Soil Nitrogen Characteristics

    Hang Guo1,2,3, Linxian Liao1,2,3, Zhenhao Zheng4, Junzeng Xu1,2,3,*, Qi Wei1,2,3, Peng Chen1,2,3, Kechun Wang1,2,3

    Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3291-3304, 2023, DOI:10.32604/phyton.2023.044051 - 28 December 2023

    Abstract

    The utilization of aquaculture wastewater as irrigation is an effective way to recycle and reuse water and nitrogen fertilizer resources because it contains numerous nutrients. However, it is still unclear that the pattern of substituting aquaculture wastewater irrigation for fertilizer supplementing is conducive to improving the soil nitrogen status, fruit yield and water-fertilizer use efficiency for tomato production. In this context, the experiment was intended to establish the appropriate irrigation regime of aquaculture wastewater in tomato production for freshwater replacement and fertilizer reduction to ensure good yields. Pot experiments were conducted with treatments as farmers

    More >

  • Open Access

    ARTICLE

    Adaptive Deep Learning Model to Enhance Smart Greenhouse Agriculture

    Medhat A. Tawfeek1,2, Nacim Yanes3,4, Leila Jamel5,*, Ghadah Aldehim5, Mahmood A. Mahmood1,6

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2545-2564, 2023, DOI:10.32604/cmc.2023.042179 - 29 November 2023

    Abstract The trend towards smart greenhouses stems from various factors, including a lack of agricultural land area owing to population concentration and housing construction on agricultural land, as well as water shortages. This study proposes building a full farming adaptation model that depends on current sensor readings and available datasets from different agricultural research centers. The proposed model uses a one-dimensional convolutional neural network (CNN) deep learning model to control the growth of strategic crops, including cucumber, pepper, tomato, and bean. The proposed model uses the Internet of Things (IoT) to collect data on agricultural operations… More >

  • Open Access

    ARTICLE

    Numerical Investigation of the Temperature and Flow Fields in a Solar Chimney Power Plant

    Roudouane Laouar1,*, Olaf Wünsch2

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.4, pp. 1055-1066, 2023, DOI:10.32604/fdmp.2022.022677 - 02 November 2022

    Abstract In this work, a parametric two-dimensional computational fluid dynamics (CFD) analysis of a solar chimney power plant (a prototype located in Manzanares, Spain) is presented to illustrate the effects of the solar radiation mode in the collector on the plant performances. The simulations rely on a mathematical model that includes solar radiation within the collector; energy storage; air flow and heat transfer, and a turbine. It is based on the Navier-Stokes equation for turbulent flow formulated according to the standard k-ε model. Moreover, the Boussinesq approach is used to account for the fluid density variations. More >

  • Open Access

    ARTICLE

    SPAD Value Difference between Blueberry Cultivar ‘STAR’ by Planted Ground and Pot

    Gyung Deok Han1, Dae Ho Jung2, Seong Heo3,*, Yong Suk Chung1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.11, pp. 2583-2590, 2022, DOI:10.32604/phyton.2022.022866 - 12 July 2022

    Abstract In the smart farm, we can control every detail for production. Collecting every factor that affects the crop’s final yield is necessary to optimize its efficiency. The SPAD values were observed in the ‘Star’ cultivar blueberry (Vaccinium darrowii) three times a day and at three different plant heights. The pattern of SPAD value change was different by the planting position. Ground planted blueberry (V. darrowii) represented a stable SPAD value during the day and at the different heights. However, the SPAD value was increased by time in pot-planted blueberry (V. darrowii). Also, the SPAD value of pot-planted blueberry More >

  • Open Access

    ARTICLE

    Research on WNN Greenhouse Temperature Prediction Method Based on GA

    Wenbin Dai1, Lina Wang1,2,*, Binrui Wang1, Xiaohong Cui1, Xue Li1

    Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2283-2296, 2022, DOI:10.32604/phyton.2022.021096 - 30 May 2022

    Abstract Temperature in agricultural production has a direct impact on the growth of crops. The emergence of greenhouses has improved the impact of the original unpredictable changes in temperature, but the temperature modeling of greenhouses is still the main direction at present. Neural network modeling relies on sufficient actual data to model greenhouses, but there is a widening gap in the application of different neural networks. This paper proposes a greenhouse temperature prediction model based on wavelet neural network with genetic algorithm (GA-WNN). With the simple network structure and the nonlinear adaptability of the wavelet basis… More >

  • Open Access

    ARTICLE

    N-Exponential Fertilization Could Affect the Growth and Nitrogen Accumulation of Metasequoia glyptostroboides Seedling in a Greenhouse Environment

    Jiasen Wu1, Genping Tong2, Rui Guo2, Zihao Ye1, Jin Jin1, Haiping Lin1,3,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2211-2220, 2022, DOI:10.32604/phyton.2022.021382 - 30 May 2022

    Abstract Metasequoia glyptostroboides (M. glyptostroboides) is a unique plant species related to relic flora in China. It plays a positive role in afforestation and its long-term protection with high paleoclimate research value. However, due to the nutrients-supply deficiency, it is a big challenge to cultivate the high-quality seedlings of M. glyptostroboides. In this study, a pot experiment in a greenhouse environment was carried out to identify the effect of N-exponential fertilization on the growth and nutrient distribution of M. glyptostroboides seedling. The M. glyptostroboides rooted seedlings with 12-month growth were chosen. Different N fertilizer levels with conventional fertilization (CF: 5.0 g seedling−1),… More >

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