Design Optimization of Hybrid Battery Based Gensets
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This thesis proposes an analytical method using a lithium-ion battery and generator data to provide insights into a hybrid genset's optimal operational load, peak shaving, and fuel consumption difference with a standalone genset. The overview analysis is between the standalone genset and a battery-fused diesel generator. Further investigations into other factors play a significant role in the results, including power output (%load), battery depth of discharge, battery charge and discharge time, battery total cycle and life span of the battery. A numerical simulation was carried out to monitor the hybrid genset operation, whereby the battery depths of discharge and the number of cycles were compared. Another simulation is performed to find the incremental results for a 135 kw genset by varying the different battery depths of discharge and the generator load difference. The combined results proved that the battery units will always generate adequate efficiency support for gensets.
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Copyright © 2022 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2022
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abba-designoptimizationofhybridbatterybasedgensets.pdf | 2023-05-05 | Public | Download |