Numerical design and optimization of a hydraulic micro-turbine adapted to a wastewater treatment plant

被引:8
作者
Guzman-Avalos, Pablo [1 ]
Molinero-Hernandez, Daniel [1 ]
Galvan-Gonzalez, Sergio [1 ]
Herrera-Sandoval, Nicolas [2 ]
Solorio-Diaz, Gildardo [1 ]
Rubio-Maya, Carlos [1 ]
机构
[1] Univ Michoacana, Mech Engn Fac, Morelia, Michoacan, Mexico
[2] Tecnol Nacl Mexico, Mech Engn Dept, Campus Morelia, Morelia, Michoacan, Mexico
关键词
Wastewater Treatment Plants; Ultra Low Head; Micro Hydroelectric Plant; Turbine design; Computational Fluid Dynamics; Genetic Algorithm; Optimization Process; SMALL HYDRO POWER; ENERGY RECOVERY; SHAPE OPTIMIZATION; PERFORMANCE; TECHNOLOGY; CAPACITY; SYSTEMS; BLADES; UK;
D O I
10.1016/j.aej.2022.07.004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Wastewater Treatment Plants (WWTPs) are considered as an Ultra Low Head (ULH) hydraulic resource. This has provoked an inadequate extraction of its potential energy by Micro Hydroelectric Plants (MHP) due to the improper relationship between the size and performance of the turbine. Thus, this work proposes the optimized design of a turbine composed of an intake-runner-diffuser, which looks for the maximum energy extraction from this kind of hydraulic resource. The annual Flow Duration Curve (FDC) of a WWTP effluent was examined to determine the flow rate with which the maximal available energy could be extracted through an adequate run-ner design. A 3D computational model of the intake-runner-diffuser was optimized by coupling a Computational Fluid Dynamics (CFD) software with a Multi Island Genetic Algorithm, while the pressure and flow field of the selected cases were qualitative and quantitatively analyzed. It was found that with the lowest Reaction Degree (RD), a propeller turbine reached its highest efficiency and pressure ratio coefficient, extracting 76% of the annual available energy of the hydraulic resource. In this way, the maximal exploitation of a ULH resource through the turbine design of the MHP system instead of adapting turbines from Large Hydropower Plants (LHP) could help to establish an actual and attractive project cost-benefit ratio.(c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:555 / 565
页数:11
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