Simulation of a solar powered air compressor

Kokaew, Vorrapath; Moshrefi-Torbati, M.; Sharkh, Suleiman M.

doi:10.1109/eeeic.2011.5874681

Cited by 5 publications

(6 citation statements)

References 7 publications

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“…It can, therefore, be concluded that the derived equations (A.4) to (A. 6) prove the effectiveness of the boundary fit approach that has been introduced here. It is important to state that the creation of the model for the selected air motor in this work (LZB14 AR034) is somewhat different than the model presented in the work of Lemofouet-Gatsi [3].…”

Section: A1 Air Motor Characteristicsmentioning

confidence: 57%

“…Such a CAES system provides higher storage efficiencies and lower CO 2 emissions. A small scale compressed air energy storage (SS-CAES) system [3,4,5,6,7,8,9,10,11,12] is similar to a large scale system in its principles of operation. The main difference is that air is stored in pressure vessels, and the power levels are much smaller, usually of the order of kWs.…”

Section: Statement Of Problemsmentioning

confidence: 99%

“…The air drives an air motor or a turbine, which in turn drives an electric generator that supplies power to consumers. SS-CAES is also potentially an alternative choice for use with renewable sources [4,5,6,12,21,36,37,38]. It is obviously environmentally friendly due to pure air being the only energy source for the charging and discharging processes.…”

Section: Ss-caes Systemmentioning

confidence: 99%

“…A common regulator used for renewable energy conversion employs power electronics. In [6,52,53,54], power electronics are alternatively used in wind and solar energy conversion systems in order to extract the power maximum of the wind turbine and solar panel. For example, a power converter is used to control voltage/current in a PV system [15,55] and speed in a wind system [56,57,58,59,60,61].…”

Section: Speed Regulationmentioning

confidence: 99%

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Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Kokaew

Sharkh²,

Moshrefi-Torbati

2016

IEEE Trans. Ind. Electron.

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The thesis is concerned with a small-scale compressed air energy storage (SS-CAES) system. Although these systems have relatively low energy density, they offer advantages of low environmental impact and ease of maintenance.The thesis focuses on solving a number of commonly known problems related to the perturb and observe (P&O) maximum power point tracking (MPPT) system for SS-CAES, including confusion under input power fluctuation conditions and operating point dither.A test rig was designed and built to be used for validation of the theoretical work. The rig comprised an air motor driving a permanent magnet DC generator whose power output is controlled by a buck converter. A speed control system was designed and implemented using a dSPACE controller. This enabled fast convergence of MPPT.Four MPPT systems were investigated. In the first system, the air motor characteristics were used to determine the operating speed corresponding to MPP for a given pressure. This was compared to a maximum efficiency point tracking (MEPT) system. Operating at the maximum power point resulted in 1% loss of efficiency compared to operating at the maximum efficiency point. But MPPT does not require an accurate model of the system that is needed for MEPT, which also requires more sensors.The second system that was investigated uses a hybrid MPPT approach that did not require a prior knowledge system model. It used the rate of change of power output with respect to the duty cycle of the buck converter as well as the change in duty cycle to avoid confusion under input power fluctuations. It also used a fine speed step in the vicinity of the MPP and a coarse speed step when the operating point was far from the MPP. Both simulation and experimental results demonstrate the efficiency of this proposed system. The third P&O MPPT system used a fuzzy logic approach which avoided confusion and eliminated operating point dither. This system was also implemented experimentally.A speed control system improved the controllable speed-range by using a buck-boost converter instead. The last MPPT system employed a hybrid P&O and incremental inductance (INC) approach to avoid confusion and eliminate operating point dither. The simulation results validate the design.Although the focus of the work is on SS-CAES, the results are generic in nature and could be applied to MPPT of other systems such as PV and wind turbine.

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Section: A1 Air Motor Characteristicsmentioning

confidence: 57%

Section: Statement Of Problemsmentioning

confidence: 99%

Section: Ss-caes Systemmentioning

confidence: 99%

Section: Speed Regulationmentioning

confidence: 99%

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Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Kokaew

Sharkh²,

Moshrefi-Torbati

2016

IEEE Trans. Ind. Electron.

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“…Indirect vector control is just like a direct vector control the only difference is that the unit vectors are computed by calculating the rotor flux angle using the measured speed position. From the d-q equivalent circuit of induction motor the following equations can be derived [4], [10].…”

Section: B Vector Controlled Induction Motor Modelingmentioning

confidence: 99%

Solar Powered Fuzzy Logic Controller based Vector Controlled Induction Motor Drive

Kumar¹,

Chauhan²,

Shrivastava³

2013

JOACE

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Due to increase in energy demand and fast depleting conventional energy sources, the energy concerns have gone up. To accommodate the energy concerns, more attention is being given to explore and utilize the abundantly available solar energy, which is a promising renewable energy resource. In this paper a vector controlled induction motor drive fed through a Photo voltaic (PV) Array is implemented using Simulink/MATLAB Software. The performance of the drive is analyzed for wide range of operations. Further to add to its features minimal rule based fuzzy logic speed controller is introduced. The performance characteristics of the proposed drive system are obtained for different operating conditions. 

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Maximum Efficiency or Power Tracking of Stand-alone Small Scale Compressed Air Energy Storage System

2013

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Simulation of a solar powered air compressor

Cited by 5 publications

References 7 publications

Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Solar Powered Fuzzy Logic Controller based Vector Controlled Induction Motor Drive

Maximum Efficiency or Power Tracking of Stand-alone Small Scale Compressed Air Energy Storage System

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