1 / 16

Power Subsystem Design and Simulation for RAPID: Enhancing Portable Radio Interferometry

This document outlines the design, simulation, and testing of the power subsystem for the RAPID project. It covers essential components including solar panels, batteries, and charge controllers. The Python-based power model simulation demonstrates how the system performs under various load profiles and optimizes for efficiency, size, and cost. The RAPID system aims to create portable field units equipped for radio interferometry, ensuring reconfigurability and transportability to ideal observation locations.

dezso
Download Presentation

Power Subsystem Design and Simulation for RAPID: Enhancing Portable Radio Interferometry

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Designing, Simulating, and Testing the Power Subsystem for RAPID NeemaAggarwal Cooper Union Mentor: Jim Marchese August 8, 2013 MIT Haystack REU 2013

  2. Outline • Introduction to RAPID • 3 Power Subsystem Components • Solar Panel • Battery • Charge Controller • Python Power Model Simulation • Demonstration • Test Bed • Summary

  3. Portable field units for conducting radio interferometry Consists of: • Antenna • LNA • Atomic clock • FPGA • Storage unit • Power subsystem

  4. RAPID • In order to produce large numbers of antennas, hardware must be efficient, reasonably sized, cost effective, shippable, etc… Advantages: • Independent • Reconfigurable • Transportable to ideal location for observations • Large number of baselines • Wide field • Wide frequency range To maximize portability, each unit must contain an easily transportable power supply

  5. Power Subsystem Contains: • Photovoltaic Panel • DC/DC Converter • Battery • Charge Controller

  6. Photovoltaic Panel Considerations: • Efficiency • Size/Weight • Cost SunPower E19 Grape Solar

  7. Battery 3 Types of Batteries: • Lead Acid • NiMH • Lithium Ion Selected for RAPID

  8. Charge Controller • Morningstar’s SunSaver PV System Controller SunSaver Charging Algorithm

  9. Power Model • Python simulation • Uses discrete time steps • Easily configurable for different load profiles, solar panels, and geographic locations

  10. Demonstration Load Profile: 5 hour experiment On 30 min, off 30 min [400,400,300,300,300] W/m2 [25,25,25,25,25] oC SOC = 13.5 A-hrs VBat= 13.2 V

  11. Power System Testing

  12. Data Example

  13. Summary • Important to get an idea of how the power system will perform before deploying the antennas • Utilize the python simulation as well as the test bed to get a sense of how feasible an experiment is • Better understand the solar panel and battery capacity needed to run RAPID • The model will continue to be developed as more variables become known

  14. Acknowledgements A special thanks to: • Jim Marchese • Will Rogers • Frank Lind • K.T. Paul • Phil Erickson and Vincent Fish • Colin Lonsdale • Haystack Observatory

  15. Thank You Questions?

  16. References • U. Boke, “A simple model of photovoltaic module electric characteristics,” in Proc. Eur. Conf. Power Electron. Appl., Sep. 2007, pp. 1–8. • Eric P. Usher and Michael M. D. Ross. Recommended Practices for Charge Controllers, Report IEA PVPS T3-05: 1998, CANMET Energy Diversification Research Laboratory, Natural Resources Canada, Varennes, Québec, August 1998.

More Related