Ghassan Mousa¹, Ayman A. Aly², Imran Khan³, Dag Øivind Madsen^4,*

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1963-1978, 2023, DOI:10.32604/iasc.2023.033627 - 05 January 2023

Abstract The economics, infrastructure, transportation, and level of living of a country are all influenced by energy. The gap between energy usage and availability is a global issue. Currently, all countries rely on fossil fuels for energy generation, and these fossil fuels are not sustainable. The hydrogen proton exchange membrane fuel cell (PEMFC) power system is both clean and efficient. The fuel delivery system and the PEMFC make up the majority of the PEMFC power system. The lack of an efficient, safe, and cost-effective hydrogen storage system is still a major barrier to its widespread use.… More >

Oleg P. Dimitriev^*

Journal of Renewable Materials, Vol.11, No.4, pp. 1555-1600, 2023, DOI:10.32604/jrm.2023.024772 - 01 December 2022

Abstract Thermal energy, i.e., the electromagnetic energy in the infrared range that originates from the direct solar radiation, outgoing terrestrial radiation, waste heat from combustion of fuels, heat-emitting electrical devices, decay of radioactive isotopes, organic putrefaction and fermentation, human body heat, and so on, constitutes a huge energy flux circulating on the earth surface. However, most energy converters designed for the conversion of electromagnetic energy into electricity, such as photovoltaic cells, are mainly focused on using a narrow part of the solar energy lying in the visible spectrum, while thermomechanical engines that are fueled by heat… More > Graphic Abstract

Changzhong Fu, Jiayu Lu^*, Wenqing Ge, Cao Tan, Bo Li

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 1779-1824, 2023, DOI:10.32604/cmes.2022.023092 - 23 November 2022

Abstract The active suspension has undoubtedly improved the performance of the vehicle, however, the trend of “lowcarbonization, intelligence, and informationization” in the automotive industry has put forward higher and more urgent requirements for the suspension system. The automotive industry and researchers favor active energy regeneration suspension technology with safety, comfort, and high energy regenerative efficiency. In this paper, we review the research progress of the structure form, optimization method, and control strategy of electromagnetic energy regenerative suspension. Specifically, comparing the pros and cons of the existing technology in solving the contradiction between dynamic performance and energy More > Graphic Abstract

Raed Alhamad^1,*, Hatem Boujemaa²

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 2149-2159, 2023, DOI:10.32604/cmc.2023.033222 - 22 September 2022

Abstract In this paper, the throughput and delay of cooperative communications are derived when solar energy is used and relay node is selected using a timer. The source and relays harvest energy from sun using a photo voltaic system. The harvested power is used by the source to transmit data to the relays. Then, a selected relay amplifies the signal to the destination. Opportunistic, partial and reactive relay selection are used. The relay transmits when its timer elapses. The timer is set to a value proportional to the inverse of its Signal to Noise Ratio (SNR).… More >

S. Nithya Roopa¹, P. Anandababu^2,*, Sibi Amaran³, Rajesh Verma⁴

Computer Systems Science and Engineering, Vol.45, No.1, pp. 497-512, 2023, DOI:10.32604/csse.2023.029133 - 16 August 2022

Abstract Recently, energy harvesting wireless sensor networks (EHWSN) have increased significant attention among research communities. By harvesting energy from the neighboring environment, the sensors in EHWSN resolve the energy constraint problem and offers lengthened network lifetime. Clustering is one of the proficient ways for accomplishing even improved lifetime in EHWSN. The clustering process intends to appropriately elect the cluster heads (CHs) and construct clusters. Though several models are available in the literature, it is still needed to accomplish energy efficiency and security in EHWSN. In this view, this study develops a novel Chaotic Rider Optimization Based… More >

Raed Alhamad^1,*, Hatem Boujemaa²

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5233-5244, 2022, DOI:10.32604/cmc.2022.030793 - 28 July 2022

Abstract In this article, we optimize the powers associated to Non Orthogonal Multiple Access (NOMA) users, sensing and harvesting duration for Cognitive Radio Networks (CRN). The secondary source harvests energy from node A signal. Then, it senses the channel to detect primary source. Then, the secondary source transmits a signal that is reflected by Intelligent Reflecting Surfaces (IRS) so that all reflections have a zero phase at any user. A set Ii of reflectors are associated to user Ui. The use of M = Mi = 512, 256, 128, 64, 32, 16, 8 reflectors per user offers 45, 42, 39, More >

Shuangyan Zhang^*, Shun Yang, Chuangui Wang, Weiyi Su, Huangfei Lv, Yuanyuan Li

Journal of Renewable Materials, Vol.10, No.12, pp. 3229-3241, 2022, DOI:10.32604/jrm.2022.020489 - 14 July 2022

Abstract Bamboo harvesting residues are wastes by-products of bamboo industries that contain holocellulose for about 63.14% to 70.71%, which often be discarded, incinerated or buried. In this study, carboxymethyl cellulose was prepared from bamboo harvesting residues (bamboo-branch and bamboo-tip) as raw materials. The chemical composition of bamboo harvesting residues, the viscosity and degree of substitution of carboxymethyl cellulose were determined. Carboxymethyl cellulose obtained was further characterized and compared by means of FTIR, SEM, XRD and TG. Results showed that under the optimized identical conditions, the viscosity and degree of substitution of carboxymethyl cellulose from bamboo-branch and More > Graphic Abstract

R. S. Jothilakshmi^*, S. Chitra Selvi

Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 865-876, 2022, DOI:10.32604/iasc.2022.025643 - 03 May 2022

Abstract The hybrid renewable energy harvesting and grid integration system has been proposed and validated in this work. The proposed system uses a Wind Energy Conversion System (WECS) and a Solar Photo Voltaic Energy Conversion System (SPVECS). The WECS uses Permanent Magnet Synchronous Generator (PMSG) driven by a wind turbine. The variable frequency and variable voltage output of PMSG is rectified by Diode Bridge Rectifier (DBR) and stepped up by Super Lift Luo Converter (SLLC 1), and finally, the harvested wind energy is delivered to the Direct Current (DC) link of a Distributed Static Synchronous Compensator More >

Subaselvi Sundarraj^*, Gunaseelan Konganathan

Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1197-1213, 2022, DOI:10.32604/iasc.2022.025026 - 03 May 2022

Abstract Software Defined Wireless Sensor Networks (SDWSN) provides a centralized scheduling algorithm to decrease energy consumption compared to WSN. The sensor nodes have a finite battery capacity in the SDWSN that reduces the lifetime of the nodes. To harvest energy for energy depleted nodes without interfering with the eventful data transfer in the clustered SDWSN, an energy efficient mobile harvesting scheme with the Multiple Input Single Output (MISO) beamforming technique is proposed. The mobile harvesting scheme transfer the energy to the energy starving node and the beamforming algorithm which transmits the energy in the desired direction… More >

Raed Alhamad^*

Computer Systems Science and Engineering, Vol.43, No.2, pp. 751-765, 2022, DOI:10.32604/csse.2022.021932 - 20 April 2022

Abstract In this article, we optimize harvesting and sensing duration for Cognitive Radio Networks (CRN) using Intelligent Reflecting Surfaces (IRS). The secondary source harvests energy using the received signal from node A. Then, it performs spectrum sensing to detect Primary Source P_S activity. When P_S activity is not detected, The Secondary Source S_S transmits data to Secondary Destination S_D where all reflected signals on IRS are in phase at S_D. We show that IRS offers 14, 20, 26, 32, 38, 44, 50 dB enhancement in throughput using M = 8, 16, 32, 64, 128, 256, 512 reflectors with respect to CRN without… More >