Xiao Ya Ma^1,2,*, Jin Tong^1,2, Fei Jiang³, Min Xu⁴, Li Mei Sun¹, Qiu Yan Chen¹

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6145-6159, 2023, DOI:10.32604/cmc.2023.034833

Abstract Production prediction is an important factor influencing the realization of an intelligent agricultural supply chain. In an Internet of Things (IoT) environment, accurate yield prediction is one of the prerequisites for achieving an efficient response in an intelligent agricultural supply chain. As an example, this study applied a conventional prediction method and deep learning prediction model to predict the yield of a characteristic regional fruit (the Shatian pomelo) in a comparative study. The root means square error (RMSE) values of regression analysis, exponential smoothing, grey prediction, grey neural network, support vector regression (SVR), and long short-term memory (LSTM) neural network… More >

Zine El Abidine Rahmouni^1,*, Mekki Maza¹, Nadia Tebbal², Messaouda Belouadah¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.5, pp. 1083-1090, 2023, DOI:10.32604/fdmp.2022.021970

Abstract The combined use of silica fume (SF) and ceramic waste (CW) for the production of mortar is studied. Sand is replaced by 5%, 10%, 15% and 20% of CW while a fixed 5% percentage (% wt of cement) of SF is used. The results show that the best results are obtained by using silica fume and ceramic waste sand with 15% weight of sand and 5% wt of cement. With the addition of sand ceramic waste (SCW), the mortar compressive strength and density increase, while the porosity displays an opposite trend. The experimental analysis is complemented with theoretical considerations on… More > Graphic Abstract

Baodong Li^*

Energy Engineering, Vol.120, No.2, pp. 461-481, 2023, DOI:10.32604/ee.2022.021877

Abstract The optimal operation of microgrids is of great significance for the sake of efficient and economical management of its energy resources. The microgrid energy management system should plan to operate the microgrid while simultaneously considering the electric and thermal load. The present study proposes energy management to minimize the costs of operating an industrial microgrid. In fact, planning for energy supply is among the critical issues that distribution companies deal with daily in the competitive environment. A distribution company usually meets customer (end customer) demands by purchasing energy from a wholesale market. Given the load curtailment, distribution companies have more… More >

Hao Qiu¹, Yi Wu¹, Min Wen¹, Xuesong Xing¹, Zening Hou¹, Nan Ma¹, Zizhen Zhang², Rui Zhang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 579-592, 2023, DOI:10.32604/fdmp.2022.020297

Abstract Sand production is a critical issue during the development of offshore oil and gas fields. Certain gas fields (e.g. the AB gas field) have high porosity and high permeability, and with water at the bottom of the reservoir, the risk of sand production greatly increases at high differential pressures. Based on reservoir properties, geological conditions, production requirements, and well logging data, in this study an ultrasonic time difference method, a B index method, and a S index method are used together with a model of rock mass failure (accounting for water influx and pressure depletion) to qualitatively predict sand production.… More >

Hongfei Ma^1,*, Wenqi Zhao², Yurong Zhao¹, Yu He¹

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1773-1790, 2023, DOI:10.32604/cmes.2022.020498

Abstract Accurate prediction of monthly oil and gas production is essential for oil enterprises to make reasonable production plans, avoid blind investment and realize sustainable development. Traditional oil well production trend prediction methods are based on years of oil field production experience and expertise, and the application conditions are very demanding. With the rapid development of artificial intelligence technology, big data analysis methods are gradually applied in various sub-fields of the oil and gas reservoir development. Based on the data-driven artificial intelligence algorithm Gradient Boosting Decision Tree (GBDT), this paper predicts the initial single-layer production by considering geological data, fluid PVT… More >

Anda Fridrihsone-Girone

Journal of Renewable Materials, Vol.3, No.1, pp. 28-33, 2015, DOI:10.7569/JRM.2014.634136

Abstract This study assesses present preliminary Life Cycle Inventory for rapeseed oil polyols suitable for the production of polyurethane, which is one of the most widely used polymer materials. Due to growing environmental problems, the polyurethane industry is seeking bio-based raw materials. A study was carried out for rapeseed oil triethanolamine polyol developed at Latvian State Institute of Wood Chemistry. The cradle-to-gate study was carried out with functional unit of 1 kg rapeseed oil polyol synthesized in a scaled-up pilot reactor. The results show that at the midpoint level the production of rapeseed oil has the highest impact in the following… More >

A. Paberza^*, L. Stiebra, U. Cabulis

Journal of Renewable Materials, Vol.3, No.1, pp. 19-27, 2015, DOI:10.7569/JRM.2014.634138

Abstract Rigid polyurethane foams were obtained from pulp production byproducts. Three different polyols were used—tall oil polyol, lignopolyol and commercially available polyol for comparison. The obtained rigid polyurethane foams underwent photodegradation at 60°C temperature and at 0.89 W/m² intensity of UV light radiation up to 1000 h. Changes in chemical structure were observed by Fourier Transform Infrared Spectroscopy and Scanning Electron Microscopy was used to study changes in cell morphology. Spectrophotometery was used to determine yellowing of the foams. Results showed that the thickness of degraded layer for rigid polyurethane foams obtained from pulp production byproducts was ~25% less than for… More >

Rabia Manzoor^1,*, Mohammad Saleem Akhtar¹, Khalid Saifullah Khan¹, Taqi Raza², Muhammad Ishaq Asif Rehmani³, Carl Rosen⁴, Muhammad Khalil ur Rehman⁵, Nahla Zidan⁶, Fahad M. Alzuaibr⁷, Nisreen M. Abdulsalam⁸, Najla A. Khateeb⁹, Majid Alhomrani^10,11, Abdulhakeem S. Alamri^10,11, Javeed Ahmad Lone¹², Muhammad Ammar Raza¹³, Ayman El Sabag

Phyton-International Journal of Experimental Botany, Vol.91, No.12, pp. 2759-2774, 2022, DOI:10.32604/phyton.2022.022988

Abstract Tomato is an important field crop, and nutritional imbalances frequently reduce its yield. Diagnosis and Recommendation Integrated System (DRIS), uses ratios for nutrient deficiency diagnosis instead of absolute concentration in plant tests. In this study, local DRIS norms for the field tomatoes were established and the nutrient(s) limiting tomatoes yield were determined. Tomato leaves were analyzed for nutrients, to identify nutritional status using the DRIS approach. One hundred tomatoes fields were selected from Chatter Plain Khyber Pakhtunkhwa and the Sheikupura Punjab Pakistan. The first fully matured leaf was sampled, rinsed, dried and ground for analyzing P, K, Ca, Mg, Cu,… More >

Aleksandr Lekomtsev^1,*, Vitaliy Bakaneev¹, Ivan Stepanenko¹, Petr Maximov¹, Yulia Rozhkova¹, Alexey Dengaev², Wanli Kang³

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.2, pp. 285-301, 2023, DOI:10.32604/fdmp.2022.019809

Abstract A new integrated oil production enhancement technology based on water-flooding energy recovery is proposed. After providing an extensive review of the existing scientific and technical literature on this subject, the proposed integrated technology is described together with the related process flow diagram, the criteria used to select a target facility for its implementation and the outcomes of the laboratory studies conducted to analyze emulsion formation and separation kinetics. Moreover, the outcomes of numerical simulations performed using Ansys CFX software are also presented. According to these results, using the proposed approach the incremental oil production may reach 1.2 t/day (with a 13%… More >

Thakrittorn Pansiri¹, Attakorn Asanakham^2,*, Thoranis Deethayat², Tanongkiat Kiatsiriroat²

Energy Engineering, Vol.119, No.5, pp. 1861-1878, 2022, DOI:10.32604/ee.2022.022332

Abstract This paper proposed a new function of photovoltaic thermal (PVT) module to produce nocturnal cool water not just only generating electrical power and hot water during daytime. Experimental tests were carried out under Chiang Mai tropical climate with a 200 Wp monocrystalline PVT module having dimensions of 1.601 m × 0.828 m connected with two water tanks each of 60 L taken for hot and cool water storages. The module was facing south with 18^o inclination. The electrical load was a 200 W halogen lamp. From experiments, by taking the module as a nocturnal radiative cooling surface, the cool water temperature in… More > Graphic Abstract