Optimization of Parabolic Trough Operations and Maintenance (OPTOM)
Sector: Geothermal • Location: Broomfield, Colorado, United States of America
Source: Department of Energy (DOE)
This project will develop a suite of tools to help optimize the operation and maintenance (O&M) of concentrating solar-thermal power (CSP) solar fields. The backbone of the system is a cloud-based data platform that will allow the tools to share information. A custom computerized maintenance management system (CMMS) enables tracking of corrective, preventive, and predictive maintenance for collect
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This project will develop a suite of tools to help optimize the operation and maintenance (O&M) of concentrating solar-thermal power (CSP) solar fields. The backbone of the system is a cloud-based data platform that will allow the tools to share information. A custom computerized maintenance management system (CMMS) enables tracking of corrective, preventive, and predictive maintenance for collectors, heliostats, and heliostat components. The system will tie in with drone-based solar field monitoring and machine learning to automate the identification of component issues. The system will integrate data analytics to help optimize O&M decisions and include a reporting capability so that data can be synthesized and summarized to optimize O&M resources. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |