Open Access
ARTICLE
Ali Khosravi1,*, 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 >
Open Access
ARTICLE
Hua Tian1, Ke Kang1, Lingfeng Shi2,*, 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 >
Open Access
ARTICLE
Xing Deng1,2, Haijian Shao1,2,*
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 >
Open Access
ARTICLE
Xing Deng1,2, Haijian Shao1,2,*, Xia Wang3,4
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 >
Open Access
ARTICLE
Wei Li1, Shusheng Xiong2,*, 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 >
Open Access
ARTICLE
Shusheng Xiong1, Defeng Xuan2, Yonggen Zhang2, Zhankuan Wu1, Wei Li1,*, 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 >
Open Access
ARTICLE
Louis Francois Marie1,*, 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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