A review on recent sizing methodologies of hybrid renewable energy systems

Lian, Jijian; Zhang, Yusheng; Ma, Chao; Yang, Yang; Chaima, Evance

doi:10.1016/j.enconman.2019.112027

Cited by 410 publications

(154 citation statements)

References 166 publications

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“…The discrepancies are estimated to be sourced from the wind tunnel characteristics and sensitivity of the measurement equipment. The experimental analysis that is delivered by Battisti et al [36] exhibits very low power coefficients at higher values of TSR (3)(4), while the behavior of other computational and numeric analysis are consistent approximating to about 0.2-0.3. CFD analysis that is reported by Castelli et al (2011) [16] shows relatively higher overall pressure coefficients (which is provided at Re=300x10 3 ) while the shape of CP-TSR curve (bell shape) is very similar to the experiment that is conducted by [36].…”

Section: Resultsmentioning

confidence: 81%

Numerical Analyses of a Straight Bladed Vertical Axis Darrieus Wind Turbine: Verification of DMS Algorithm and Qblade Code

Muratoğlu¹,

Demir²

2019

European Journal of Technic

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Wind energy is among the most cost-effective renewable energies. Till date, turbines with different configurations had been designed to harness wind power, each having unique superiorities. Darrieus turbines are one of the mostly investigated vertical axis wind turbines using either experimental or numerical methods. Experimental analyses are time consuming works which requires high amount of effort and expenses. Thus, computational fluid dynamics (CFD) methods have been commonly used by scientists and engineers in order of obtaining detailed performance and illustration of the fluid flow. Contrary to the horizontal axis machines, Darrieus turbines are difficult to be analyzed by CFD algorithms due to high pressure and velocity variations which arise from extreme changes in the angle of attack beyond the stall condition at different azimuthal position of the blades. Therefore, more simplified numerical models are generated employing double multiple streamtube (DMS) theory together with additional improvements. QBlade is one of the mostly used numerical methods based on the lifting line free vortex wake method developed for calculating rotor aerodynamics. The main scope of this study is to design a straight bladed Darrieus turbine (D=1028 mm, H=1460 mm, N=3) and to verify the double multiple streamtube theory and QBlade algorithm with the experimental and computational works. Analysis results represented good agreement with the previous studies especially at lower TSR ranges. Compare to the experimental results, an overestimation in the power coefficient is obtained at low free stream speed and high TSR ranges after exceeding the peak point. Sensitivity of the model to the Re number variations have also been outlined.

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Section: Resultsmentioning

confidence: 81%

Numerical Analyses of a Straight Bladed Vertical Axis Darrieus Wind Turbine: Verification of DMS Algorithm and Qblade Code

Muratoğlu¹,

Demir²

2019

European Journal of Technic

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“…However, the design of these hybrid systems needs sophisticated programs and smart algorithms capable of reaching the optimal solution taking into consideration all the conditions and constraints such as reliability aspects, economic cost, sensitivity factors, availability of RES, etc. [1,2,7,8].…”

Section: Introductionmentioning

confidence: 99%

Development and Implementation of a Novel Optimization Algorithm for Reliable and Economic Grid-Independent Hybrid Power System

et al. 2020

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Recently, fast uptake of renewable energy sources (RES) in the world has introduced new difficulties and challenges; one of the most important challenges is providing economic energy with high efficiency and good quality. To reach this goal, many traditional and smart algorithms have been proposed and demonstrated their feasibility in obtaining the optimal solution. Therefore, this paper introduces an improved version of Bonobo Optimizer (BO) based on a quasi-oppositional method to solve the problem of designing a hybrid microgrid system including RES (photovoltaic (PV) panels, wind turbines (WT), and batteries) with diesel generators. A comparison between traditional BO, the Quasi-Oppositional BO (QOBO), and other optimization techniques called Harris Hawks Optimization (HHO), Artificial Electric Field Algorithm (AEFA) and Invasive Weed Optimization (IWO) is carried out to check the efficiency of the proposed QOBO. The QOBO is applied to a stand-alone hybrid microgrid system located in Aswan, Egypt. The results show the effectiveness of the QOBO algorithm to solve the optimal economic design problem for hybrid microgrid power systems.

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“…Biomass means any waste or material of organic origin, mainly vegetable [1]. Biomass is one of the most important renewable energy sources, especially in applications outside the energy distribution network with an associated energy capacity of approximately 3.15 × 10 3 MW (46.67%), while for energy production in the distribution network its share is reduced to 5% worldwide [2], mainly because its use in the electricity generation sector is supplied by other energy sources (solar, wind, even traditional sources such as coal or natural gas). Biomass is presented as one of the energy sources whose carbon footprint is very close to zero and briquettes density, mechanical durability index, compressive strength, modulus of elasticity and moisture content [4,16] which are being studied in this work.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Mechanical Properties of Biomass Briquettes from a Mixture of Rice Husk and Pine Sawdust

2020

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In search of guaranteeing global energy requirements, waste from different agricultural, forestry and industrial sources is presented as a renewable and sustainable energy source. The manufacture of solid fuels from biomass based on the densification of this to improve its mechanical and energy properties is one of the mechanisms of viable energy production from the technical-economic point of view. The biomass mixture is one of the topics currently researched, in which various factors can affect the final behavior of the briquettes. In this research the influence on the mechanical properties of briquettes obtained from the mixture between two biomasses is studied: rice husk and pine sawdust. A mixed factorial experimental factorial design is used, in which the process temperature, the proportion of the rice husk biomass over the total mass, and the compaction time are defined as experimental factors. Experimental statistical models are obtained that partially explain the behavior of several responses that characterize the mechanical properties of the briquettes based on the selected independent parameters. It was found that the mechanical durability of the briquettes is higher than 97.5%, meets the existing standards, like German Institute for Standardization (DIN) 51731, Theological Institute Batista Ebenézer (ITEBE) SS187120 or International Organization for Standardization (ISO) 17225-2, for a compaction temperature of 110 °C and a proportion of rice husk that does not exceed 60% of the total biomass mixture in the briquette. The compaction time was also statistically significant to achieve a briquettes density and an appropriate elasticity modulus in the briquettes. The results of this research are of interest and can serve as a starting point for the design of the industrial process of densification of these two mixed biomasses.

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A review on recent sizing methodologies of hybrid renewable energy systems

Cited by 410 publications

References 166 publications

Numerical Analyses of a Straight Bladed Vertical Axis Darrieus Wind Turbine: Verification of DMS Algorithm and Qblade Code

Numerical Analyses of a Straight Bladed Vertical Axis Darrieus Wind Turbine: Verification of DMS Algorithm and Qblade Code

Development and Implementation of a Novel Optimization Algorithm for Reliable and Economic Grid-Independent Hybrid Power System

Experimental Study on the Mechanical Properties of Biomass Briquettes from a Mixture of Rice Husk and Pine Sawdust

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