Logo image
Robotic System for Solar Thermal-compressed Air Energy Storage
Thesis   Open access

Robotic System for Solar Thermal-compressed Air Energy Storage

Alexander Petrbok
University of West Florida Libraries
Master of Science (MS), University of West Florida
2022

Metrics

146 File views/ downloads
128 Record Views

Abstract

This paper proposes a theoretical energy storage power plant consisting of a solar thermalsystem and a compressed air system controlled as a single robotic system. The solar thermal system consists of linear fresnel array solar collectors, thermal storage in a fluidized bed of sand, and a steam turbine to generate electricity from stored thermal energy. The compressed air system uses an air compressor to store excess electricity as cooled compressed air in an underground pressure vessel. During periods of high demand, the air is reheated in a multistage air expander to produce electricity. A water reservoir cools the compressed air, captures waste heat from the steam turbine, and reheats the expanding air to 90 ℃. The control for the robotic system is modeled as a python visualization program in google colab. This program takes grid data as an input, uses a Long Short Term Memory (LSTM) neural net to make 24-hour predictions, then calculates and displays the energy flows between different components in the system as it timesteps through the input data. Simulation results from 4 years of example grid data demonstrate the productivity of the hybrid robotic system and the accuracy of the neural net predictions. Finally, design alterations to the solar thermal-compressed air hybrid system are explored for their advantages and disadvantages. Simulation Link: https://drive.google.com/drive/folders/1VzwhUMOEijk_PrPd7omQJ_INRVSNXXLX?usp=share_link
pdf
Robotic System for Solar Thermal-compressed Air Energy Storage1.72 MBDownloadView
Preprint Thesis pdf Open Access

Details

Logo image