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  • Open Access

    ARTICLE

    A Preliminary Assessment of Load Consumption and Solar Power Potential at Kota Belud, Sabah

    Maryon Eliza Matius1, Mohd Azlan Ismail2, Adriana Erica Amaludin1, Yan Yan Farm2, Mohd Adzrie Radzali1, Ahmad Fazlizan3, Wan Khairul Muzammil2,*

    Energy Engineering, Vol.119, No.4, pp. 1361-1377, 2022, DOI:10.32604/ee.2022.019497

    Abstract This paper presents a detailed preliminary assessment of load consumption and solar power potential at the Eco-Tourism Centre of Liogu Ku Silou-Silou (EPLISSI), Kota Belud, Sabah. This initial investigation assessed the feasibility of an off-grid solar PV system at EPLISSI with a suitable solar panel system for project installation and commissioning purposes. Due to the absence of an electrical grid and power supply, no pre-existing electrical appliances could be found in EPLISSI. Hence, an excel-based software, the ESCoBox, was used to produce the load profiles. The input data for this software came from a list… More > Graphic Abstract

    A Preliminary Assessment of Load Consumption and Solar Power Potential at Kota Belud, Sabah

  • Open Access

    REVIEW

    Prospects and Challenges of Utilizing Solar Energy for the COVID-19 Vaccine Cold Storage in Remote Clinics of Tropical Countries: Review

    Indra Mamad Gandidi1,*, Apri Wiyono1, Nugroho Agung Pambudi2,*, Rahmat Romadhon3, Alfan Sarifudin2

    Energy Engineering, Vol.119, No.4, pp. 1403-1418, 2022, DOI:10.32604/ee.2022.019200

    Abstract The rapid spread of COVID-19 pandemic has forced several countries in the world to store vaccines in cold storage towards ensuring their protection from being damaged and to maintain their stability. However, most remote clinics, especially those in the equator and islands, are faced with the challenges of hot climates and the inability to afford electricity resources needed to power the cold storage facility. Meanwhile, the hot equatorial region has abundant solar energy to power the vaccine cold storage but previous studies showed that several field workers do not have the ability to maintain the More >

  • Open Access

    ARTICLE

    Modeling and Simulation Analysis of Solar Thermal Electric Plants Based on Petri Net

    Rong Huang1, Xiaojuan Lu2,*, Zeping Liang2, Pengfei Gao1, Tian Liang1

    Energy Engineering, Vol.119, No.4, pp. 1711-1728, 2022, DOI:10.32604/ee.2022.019128

    Abstract At present, solar thermal power generation is in the demonstration stage, and the large-scale production is affected by many factors. In view of the characteristics of different operating modes of photothermal power generation, it is analyzed that the turbine needs to be started and stopped frequently due to different operating modes, which will lead to the instability of the output energy and the reduction of power generation efficiency. In this paper, the dynamic equation of energy conversion process is established by using the law of conservation of energy and conservation of mass. Combined with the More > Graphic Abstract

    Modeling and Simulation Analysis of Solar Thermal Electric Plants Based on Petri Net

  • Open Access

    ARTICLE

    Fuzzy Multi-Criteria Decision Making for Solar Power Plant Location Selection

    Thai Hoang Tuyet Nhi1, Chia-Nan Wang1, Nguyen Van Thanh2,*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4853-4865, 2022, DOI:10.32604/cmc.2022.026374

    Abstract Vietnam is one of Southeast Asian countries with a rapid GDP growth rate, ranging from 6.5% to 7% annually, leading to an average increase in energy demand of 11% per year. This demand creates many new opportunities in the energy industry, especially renewable energy, to ensure sustainable development in the future for the country with applications of solar energy growing at the present, and other opportunities to expand in the future. In Vietnam, thanks to favorable weather, climate, terrain characteristics and many preferential support policies, there are many great opportunities in the field of solar More >

  • Open Access

    ARTICLE

    Fuzzy Based MPPT and Solar Power Forecasting Using Artificial Intelligence

    G. Geethamahalakshmi1,*, N. Kalaiarasi2, D. Nageswari1

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1667-1685, 2022, DOI:10.32604/iasc.2022.022728

    Abstract Solar energy is the radiant heat and light energy harvested by ultra violet rays to convert into electrical Direct Current (DC). The solar energy stood ahead of other renewable energy as it can produce a constant level of alternating current over the year with minimal harmonic distortions. The renewable energy attracts the energy harvesters as there is rise of deficiency of carbon and reduction of efficiency in thermal energy generation. The concerns associated with the solar power generation are the fluctuation in the generated direct current due to the displacement of sun and deviation in… More >

  • Open Access

    ARTICLE

    Optimization Analysis of Sustainable Solar Power System for Mobile Communication Systems

    Mohammed H. Alsharif1, Raju Kannadasan2, Amir Y. Hassan3, Wael Z. Tawfik4, Mun-Kyeom Kim5,*, Muhammad Asghar Khan6, Ahmad A. A. Solyman7

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3243-3255, 2022, DOI:10.32604/cmc.2022.022348

    Abstract Cellular mobile technology has witnessed tremendous growth in recent times. One of the challenges facing the operators to extend the coverage of the networks to meet the rising demand for cellular mobile services is the power sources used to supply cellular towers with energy, especially in remote. Thus, switch from the conventional sources of energy to a greener and sustainable power model became a target of the academic and industrial sectors in many fields; one of these important fields is the telecommunication sector. Accordingly, this study aims to find the optimum sizing and techno-economic investigation… More >

  • Open Access

    ARTICLE

    Application of Model Predictive Control Based on Kalman Filter in Solar Collector Field of Solar Thermal Power Generation

    Xiaojuan Lu, Zeping Liang*

    Energy Engineering, Vol.118, No.4, pp. 1171-1183, 2021, DOI:10.32604/EE.2021.014724

    Abstract There are two prominent features in the process of temperature control in solar collector field. Firstly, the dynamic model of solar collector field is nonlinear and complex, which needs to be simplified. Secondly, there are a lot of random and uncontrollable, measurable and unmeasurable disturbances in solar collector field. This paper uses Taylor formula and difference approximation method to design a dynamic matrix predictive control (DMC) by linearizing and discretizing the dynamic model of the solar collector field. In addition, the purpose of controlling the stability of the outlet solar field salt temperature is achieved More >

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