Design optimization of a small-scale hydropower harvesting device (original) (raw)

Low-head hydropower energy resource harvesting: design and manufacturing of the (HyPER) harvester

Science and Technology Development Journal

The design and manufacturing of a revolutionary hydropower harvester with characteristics that embrace the ecology and the environment is described. Guided by NEPA standards for environmental protection, the design concept incorporates a modular and self-supporting structure with a vertical-axis turbine-generator system that is: a) fabricated using Fiberglass and Carboncomposites and is light weight, and b) is easy to manufacture and assemble utilizing offthe- shelf electromechanical components and deploy to produce the desired power. A computational fluid dynamics (CFD) software, ANSYS®, is used to optimize the flow characteristics of the harvester. A fullyscalable, modular and easily deployable hydropower generating system prototype of a 10kW low-head hydropower harvester with 4- blade fixed-pitch impeller is presented. The technology is adaptable for low-head drops along irrigation canals with existing structures and as modular weirs across small rivers and streams worldwide.

Modelling of a Flow-Induced Oscillation, Two-Cylinder, Hydrokinetic Energy Converter Based on Experimental Data

Energies, 2021

The VIVACE Converter consists of cylindrical oscillators in tandem subjected to transverse flow-induced oscillations (FIOs) that can be improved by varying the system parameters for a given in-flow velocity: damping, stiffness, and in-flow center-to-center spacing. Compared to a single isolated cylinder, tandem cylinders can harness more hydrokinetic energy due to synergy in FIO. Experimental and numerical methods have been utilized to analyze the FIO and energy harnessing of VIVACE. A surrogate-based model of two tandem cylinders is developed to predict the power harvesting and corresponding efficiency by introducing a backpropagation neural network. It is then utilized to reduce excessive experimental or computational testing. The effects of spacing, damping, and stiffness on harvested power and efficiency of the established prediction-model are analyzed. At each selected flow velocity, optimization results of power harvesting using the prediction-model are calculated under differ...

An Experimental and Numerical Study for Energy Harvesting with Piezoelectricity in Rivers

Topical Problems of Fluid Mechanics 2022, 2022

This work is concerned with finding the optimal nozzle length for a piezoelectric harvester. Studies are carried out experimentally and numerically. First, the optimum Reynolds number is found. It was then numerically studied to find the optimum nozzle length. As a result, the most efficient design is produced and studied experimentally. The results found are compared. The target function is to find the best turbulent kinetic energy at the appropriate nozzle length.

Renewable Energy Technology 1 (K14RE1) Hydro Laboratory Group 12 (5 December 2018

2019

Currently, hydroelectricity is produced by the movement of water. However, it depends on many factors such as types of head (low, medium, or high), location, volume flow rate, torque, angle of blades, or even turbine speed. This experiment focused on testing different volume flow rates and torques to find the peak overall efficiency and power output. Moreover, after this experiment, the characteristic of the propeller turbine and optimum value of blades can be understood. This paper will then show how to calculate for a specific speed and choose a turbine head for each volume flow rate, and will summarize the propeller work at the end of the report.

Investigation of Hydrokinetic Tidal Energy Harvesting Using a Mangrove-Inspired Device

Sustainability

There is a trend towards harvesting tidal energy in shallow water. This study examined how tidal energy can be harvested using a device of oscillating cylinders inspired by the roots of mangroves. A specific focus was placed on optimising the configuration of these devices, informed by the computational fluid dynamics (CFD) analysis of wake interference in the von Kármán vortex street of the cylinders. A maximum efficiency of 13.54% was achieved at a peak voltage of 16 mV, corresponding to an electrical power output of 0.0199 mW (13.5% of the hydrokinetic energy of the water) and a power density of 7.2 mW/m2 for a flow velocity of 0.04 m/s (Re=239). The configuration of upstream cylinders proved to have a significant impact on the power generation capacity, corroborated further in CFD simulations. The effect of wake interference was non-trivial on the magnitude and quality of power, with tandem arrangements showing the largest impact followed by staggered arrangements. Though with c...