Yuhao Jia¹, Bin Cheng^1,2,*, Xiyang Li^1,2, Hui Zhang^1,2, Yinglong Dong¹

Energy Engineering, Vol.117, No.6, pp. 413-427, 2020, DOI:10.32604/EE.2020.012019 - 16 October 2020

Abstract In order to study the effect of icing on the wind turbine blade tip speed ratio and wind energy utilization coefficient under working conditions, it is important to better understand the growth characteristics of wind turbine blade icing under natural conditions. In this paper, the icing test of the NACA4412 airfoil wind turbine was carried out using the natural low temperature wind turbine icing test system. An evaluation model of icing degree was established, and the influence of wind speed and icing degree on the performance parameters of wind turbines was compared and analyzed. It… More >

Abdelsalam Aldawoud^*, Fatma Elzahraa Hosny, Rasha Mdkhana

Energy Engineering, Vol.117, No.6, pp. 381-395, 2020, DOI:10.32604/EE.2020.011863 - 16 October 2020

Abstract The opportunities for energy savings by retrofitting of the existing school buildings in the United Arab Emirates (UAE) are significant because of their excessive energy consumption and space cooling demand. In this research, energy modeling and simulation are utilized with the use of Design Builder software to examine the influence of various retrofitting measures of air-conditioning (A/C) system and building envelope components on the energy use. Several combined measures are implemented and assessed to achieve the main goal of this research of selecting the best course of action to reduce cooling energy consumption for existing… More >

Tanzhong Fu^1,2,3, Yu Xue^1,*, Tancai Xia¹, Wang Jing¹, De Gejirifu¹

Energy Engineering, Vol.117, No.6, pp. 397-411, 2020, DOI:10.32604/EE.2020.011633 - 16 October 2020

Abstract To further study the impact of renewable energy penetration on the technical transformation of distribution networks. Based on the output power characteristics of wind power and photovoltaics, a renewable energy grid-connected capacity model and a distribution network full cost-benefit model were constructed. Based on this, to maximize the comprehensive income of the distribution network and the renewable energy penetration rate, to establish the technical reform optimization model and search for the optimal solution through the improved NSGA-II algorithm. Finally, the effectiveness of the proposed model was verified by setting up three scenarios of simultaneous wind More >

Shafiqur Rehman¹, Umar T. Salman^2,*, Luai M. Alhems¹

Energy Engineering, Vol.117, No.6, pp. 343-365, 2020, DOI:10.32604/EE.2020.011471 - 16 October 2020

Abstract Renewable energy has received much attention in the last few decades and more investment is being attracted across the world to boost its contribution towards the existing energy mix. In the Kingdom of Saudi Arabia (KSA), many studies have been conducted on the potential of renewable energy sources (RES), such as wind, solar, and geothermal. Many of these studies have revealed that the Kingdom is blessed with an abundance of RES with wind energy being the best after solar. This paper presents an analysis of windfarm distributed generation (WFDG) for energy management strategy in the… More >

XINGXING ZHU^1,2, TIANFENG HUA^1,2, MINGFEI WU³, JIATIAN WU^1,2, JIANCHAO HONG^1,2, MIN YANG^1,2,*

BIOCELL, Vol.44, No.3, pp. 431-441, 2020, DOI:10.32604/biocell.2020.010323 - 22 September 2020

Abstract Post-resuscitation myocardial dysfunction (PRMD) is the most severe myocardial ischemia-reperfusion injury (MIRI) and is characterized by difficult treatment and poor prognosis. Research has shown the protective effects of the rational use of ivabradine (IVA) against PRMD; however, the molecular mechanisms of IVA remain unknown. In this study, an ischemia-reperfusion injury (IRI) model was established using hypoxic chambers. The results demonstrated that pretreatment with IVA reduced IRI-induced cytotoxicity and apoptosis. IVA attenuated mitochondrial damage, eliminated excess reactive oxygen species (ROS), suppressed IRI-induced ATP and NAD⁺ , and increased the AMP/ATP ratio. We further found that IVA increased More >

Nithya Rekha Sivakumar^{1, *}, Sara Ghorashi¹, Mona Jamjoom¹, Mai Alduailij¹

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 1925-1943, 2020, DOI:10.32604/cmc.2020.011505 - 16 September 2020

Abstract In today’s world, smart phones offer various applications namely face detection, augmented-reality, image and video processing, video gaming and speech recognition. With the increasing demand for computing resources, these applications become more complicated. Cloud Computing (CC) environment provides access to unlimited resource pool with several features, including on demand self-service, elasticity, wide network access, resource pooling, low cost, and ease of use. Mobile Cloud Computing (MCC) aimed at overcoming drawbacks of smart phone devices. The task remains in combining CC technology to the mobile devices with improved battery life and therefore resulting in significant performance.… More >

Li Li^1,*, Yifei Wei¹, Lianping Zhang², Xiaojun Wang³

Journal of Cyber Security, Vol.2, No.3, pp. 141-150, 2020, DOI:10.32604/jcs.2020.010764 - 14 September 2020

Abstract The rapid growth of Internet content, applications and services require more computing and storage capacity and higher bandwidth. Traditionally, internet services are provided from the cloud (i.e., from far away) and consumed on increasingly smart devices. Edge computing and caching provides these services from nearby smart devices. Blending both approaches should combine the power of cloud services and the responsiveness of edge networks. This paper investigates how to intelligently use the caching and computing capabilities of edge nodes/cloudlets through the use of artificial intelligence-based policies. We first analyze the scenarios of mobile edge networks with… More >

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 - 07 September 2020

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… More >

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 - 07 September 2020

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 More >

Ning Chen¹, Naernaer Xialihaer^2,3, Weiliang Kong³, Jiping Ren^2,3,*

Journal of New Media, Vol.2, No.3, pp. 99-109, 2020, DOI:10.32604/jnm.2020.09889 - 04 September 2020

Abstract This paper analyzes the energy consumption situation in Beijing, based on the comparison of common energy consumption prediction methods. Here we use multiple linear regression analysis, grey prediction, BP neural net-work prediction, grey BP neural network prediction combined method, LSTM long-term and short-term memory network model prediction method. Firstly, before constructing the model, the whole model is explained theoretically. The advantages and disadvantages of each model are analyzed before the modeling, and the corresponding advantages and disadvantages of these models are pointed out. Finally, these models are used to construct the Beijing energy forecasting model, More >