Design and Performance Testing of an Advanced Integrated Power System with Flywheel Energy Storage

Hayes, Richard; Weeks, D.A.; Flynn, M.M.; Beno, J.H.; Guenin, A. M.; Zierer, Joseph; Stifflemire, Terry

doi:10.4271/2003-01-2302

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…Recent developments of flywheel technology have shown advantages in terms of mass and life span when used for regenerative braking [13][14][15]. The results presented here are for the specific case of low-speed regional diesel trains, which experience high braking losses.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Driving Strategy on Hybrid Regional Diesel Trains

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Griffiths

Smith

2011

Proceedings of the Institution of Mechanical Engineers, Part F:

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Vehicle braking in non-electrified rail systems wastes energy. This article considers two approaches to reducing braking losses in regional diesel trains: efficient driving strategies and regenerative braking. The interaction of these two approaches is critical in specifying the requirements of a hybrid train and assessing the relative fuel saving. Computational models of conventional and hybrid diesel-hydrodynamic regional trains have been developed using real route data to generate a simple control algorithm and investigate the effect of driving strategy on fuel consumption and journey time. The current modelling predicts fuel savings of up to 40 per cent for the hybrid train when an aggressive control strategy is used. This fuel saving is halved when an efficient driving strategy is employed, which also reduces the required energy storage capacity. The model provides a tool for identifying effective control strategies which should be implemented to reduce fuel consumption for both conventional and hybrid trains.

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Section: Discussionmentioning

confidence: 99%

The Effect of Driving Strategy on Hybrid Regional Diesel Trains

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Griffiths

Smith

2011

Proceedings of the Institution of Mechanical Engineers, Part F:

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“…We evaluated existing designs from the University of Texas at Austin's Center for Electromechanics (UTA CEM) summarised in Werst (2010) to suggest some trends which could be used to provide approximate minimum mass values. The flywheels are the NASA- (Hebner, Beno, & Walls, 2002), ALPS- (Caprio et al, 2004;Herbst, Caprio, Gattozzi, & Graf, 2005) and ATB- (Hayes et al, 1999;Hayes et al, 2003) flywheel designs. Table 3.3 shows the specific energy and specific power calculated from information in Werst (2010).…”

Section: Electromechanical Flywheels ( Emfws)mentioning

confidence: 99%

“…3.5 the specific energy and specific power characteristics of the three UTA CEM flywheel designs are plotted with those of other energy storage technologies. (Hebner et al, 2002) ALPS (Caprio et al, 2004;Herbst et al, 2005) ATB (Hayes et al, 1999;Hayes et al, 2003) 100m mine (Werst, 2010) 8618 (Werst, 2010) 204 (Werst, 2010) 4574 5 Peak Power kW 5 (Werst) 2000 (Werst) 150 (Werst) -6 Rated Power (50% of Peak) kW 2.5 * 1000 * 75 * 1390 7 Energy storage Capacity kWh 3.6 (Werst) 133 (Werst) 1.9 (Werst) 46 . On the Ragone plot two trends can be observed for the three flywheel designs reflected in Table 3.3. The specific energy decreases marginally as the specific power increases, and the three flywheels almost sit on a straight line on the log vs. log scale plot which implies approximating an exponential relationship.…”

Section: Electromechanical Flywheels ( Emfws)mentioning

confidence: 99%

Technical and economic potential of energy recovery and re-use on board surface mining haul trucks

Terblanche¹

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This thesis investigates the technical and economic feasibility, as well as emissions related benefits, of incorporating energy recovery systems (ERSs) on board mine haul trucks (MHTs) used in surface mining. More specifically it aims to answer the research question: "What practical combination of hybrid drive topology, and energy storage technology, capacity and use on board mine haul trucks, will maximise the economic benefit of energy recovery and re-use, considering variation in haul route characteristics and the time value of money through the life of a surface mining project?" To answer this question, a simulation program was developed and progressively expanded to conduct each of four main stages of the research. In Stage One, the simulation program was used to determine the potential of various technologies to reduce the fuel consumption per tonne mined for each of a range of pit depths. Appropriately informing the simulation program required identifying and quantifying representative input values for truck, haul route, and ERS characteristics. Truck and haul route characteristics determine the energy recovery rate and amount of energy recoverable to the trucks' DC-links. ERS characteristics enable evaluating the potential and practical implications of each ERS technology to capture this recovered energy. ERS technologies considered include ultra-capacitors, lithium-ion capacitors, chemical batteries, and electro-mechanical flywheels (EMFWs).

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