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Ali Khosravi^1,*, Oscar Ricardo Sandoval Rodriguez², Behnam Talebjedi¹, Timo Laukkanen¹, Juan Jose Garcia Pabon³, Mamdouh El Haj Assad⁴
Energy Engineering, Vol.117, No.5, pp. 249-265, 2020, DOI:10.32604/EE.2020.011024
Abstract The energy coming from solar radiation could be harvested and transformed into electricity through the use of solar-thermal power generation and photovoltaic (PV) power generation. Placement of solar collectors (thermal and photovoltaic) affects the amount of incoming radiation and the absorption rate. In this research, new correlations for finding the monthly optimum slope angle (OSA) on flat-plate collectors are proposed. Twelve equations are developed to calculate the monthly OSA by the linear regression model, for the northern and the southern hemisphere stations from 15° to 55° and –20° to –45°, respectively. Also, a new equation for calculating the yearly tilt… More >

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Hua Tian¹, Ke Kang¹, Lingfeng Shi^2,*, Rui Sun¹
Energy Engineering, Vol.117, No.5, pp. 267-277, 2020, DOI:10.32604/EE.2020.011440
Abstract The anti-sublimation CO₂ capture technology has attracted the attention of researchers due to its advantages such as no pollution and high product purity. The anti-sublimation process is the core link of this technology, so the study of this process is of great significance to the low-temperature capture system. At present, there are few research works on the CO₂ anti-sublimation process. In order to study the influence of key parameters on the capture performance during CO₂ anti-sublimation, a one-dimensional steady-state of CO₂ anti-sublimation process in a double pipe heat exchanger was established based on the mixture gas of N₂ and CO₂.… More >

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Xing Deng^1,2, Haijian Shao^1,2,*
Energy Engineering, Vol.117, No.5, pp. 279-287, 2020, DOI:10.32604/EE.2020.011619
Abstract Recurrent neural networks (RNNs) as one of the representative deep learning methods, has restricted its generalization ability because of its indigestion hidden-layer information presentation. In order to properly handle of hidden-layer information, directly reduce the risk of over-fitting caused by too many neuron nodes, as well as realize the goal of streamlining the number of hidden layer neurons, and then improve the generalization ability of RNNs, the hidden-layer information of RNNs is precisely analyzed by using the unsupervised clustering methods, such as Kmeans, Kmeans++ and Iterative self-organizing data analysis (Isodata), to divide the similarity of raw data points, and maps… More >

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Xing Deng^1,2, Haijian Shao^1,2,*, Xia Wang^3,4
Energy Engineering, Vol.117, No.5, pp. 289-299, 2020, DOI:10.32604/EE.2020.011126
Abstract Wind speed’s distribution nature such as uncertainty and randomness imposes a challenge in high accuracy forecasting. Based on the energy distribution about the extracted amplitude and associated frequency, the uncertainty measurement is processed through Rényi entropy analysis method with time-frequency nature. Nonparametric statistical method is used to test the randomness of wind speed, more precisely, whether or not the wind speed time series is independent and identically distribution (i.i.d) based on the output probability. Seasonal characteristics of wind speed are analyzed based on self-similarity in periodogram under scales range generated by wavelet transformation to reasonably divide the original dataset and… More >

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Wei Li¹, Shusheng Xiong^2,*, Xiaojun Zhou¹, Wei Shi³
Energy Engineering, Vol.117, No.5, pp. 301-314, 2020, DOI:10.32604/EE.2020.011506
Abstract A multichannel temperature measurement system based on LabVIEW and modular instruments with general purpose input/output interface is described. External simple electronic components, such as analog switches arrays, sampling resistors and voltage reference are used to expand the analog input channel of the instrument. The interface circuit for 3-wire resistance temperature device powered by the voltage reference was designed and constructed. The feasibility of filtering algorithm based on moving average filter and the data conversion method by direct computation of the polynomial are verified in LabVIEW. A comparison test with the commercial temperature measurement instrument is conducted to test the same… More >

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Shusheng Xiong¹, Defeng Xuan², Yonggen Zhang², Zhankuan Wu¹, Wei Li^1,*, Zhaohan Hu¹, Jing Xu¹
Energy Engineering, Vol.117, No.5, pp. 315-322, 2020, DOI:10.32604/EE.2020.011975
Abstract This research studied catalytic reforming mechanism of low concentration alcohol, analyzed the producing conditions and influencing factors of a mixture of combustible gas, took an analysis towards the composition of the mixture produced by reforming, and studied the respective effects of temperature, traffic, alcohol concentration and catalyst on the components of mixed gas. It is found that, under different working conditions of the engine, the external condition of the reforming reaction changes, and the composition of the reforming gas will differ as well. As a result, the optimum air-fuel ratio of the engine must at the same time adapt to… More >

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Louis Francois Marie^1,*, Sunkara Prudhvi Raj², Policherla Venkata Sai³, Tara MacLeod¹, Morapakala Srinivas², K. Srinivas Reddy³, Tadhg Seán O’Donovan⁴
Energy Engineering, Vol.117, No.5, pp. 323-342, 2020, DOI:10.32604/EE.2020.011035
Abstract Non-centrifugal cane sugar (NCS), known as Jaggery, is a form of unre- fined sugar which contains molasses. The integration of renewable energy resources in the production of NCS, have been analysed. The work investigates the energy requirements of a system incorporating a freeze-concentrator and a solar thermal heater to reduce the reliance on the combustion of bagasse or other fuels in a Jaggery production process. Depending on the extent to which freeze concentration can be incorporated into the process, results show that the minimum theoretical energy required to produce Jaggery can be reduced by 91.30% overall. Although difficult in practice,… More >

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