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Recovery Act - Web-Based Diagnostic Tools for Online Monitoring of Photovoltaic Systems

Award Information
Agency: Department of Energy
Branch: N/A
Contract: N/A
Agency Tracking Number: 92560
Amount: $749,983.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: 07 c
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2010
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): 2012-08-31
Small Business Information
1153 Bordeaux Dr. Suite 199
Sunnyvale, CA 94089
United States
DUNS: 783489669
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Abraham Ishihara
 (650) 248-6223
Business Contact
 Abraham Ishihara
Title: Mr.
Phone: (650) 248-6223
Research Institution
 Carnegie Mellon University, Silicon Valley Campus
 Hector Rastrullo
Building 23 (MS 23-11)
Moffett Field, CA 94005
United States

 (650) 335-2823
 Nonprofit College or University

Despite significant advancement in PV technology and efficiency, qualification testing and market penetration, actual performance in the field of operation under a myriad of environemental constraints remains an important topic. PV arrays are subject to degradation mechanisms that can significantly impact power production capability. For revenue-critical PV arrays, detection of underperformance and its timely resolution are therefore essential for the cost-effective operation and optimal integration with the Smart Grid. This proposal will develop a cloud-based diagnostic infrastructure in which services are provided to PPA contractors which enables real-time monitoring and diagnostics of the PV array.: Our Phase I accomplishments include developing a detailed modeling simulation tool that models hotspot generation due to shading, dusting, and intrinsic component mismatch. Additionally, we developed a model based diagnostic algorithm that is able to predict degradation events. Our phase II plan will (1) develop and test the PV modeling tool for numerous degradation mechanisms, (2) develop the framework for a dynamically updated database of major PV manufacturer models, (3) develop Model based Diagnostic Algorithms, (4) experimentally evaluate the model and diagnostic algorithms, and (5) investigate demand response concepts that utilize real-time PV diagnostics and smart meter data. . Commercial Applications and Other Benefits: The solar power integrators have struggled with four issues for some time: Under-performance (losses), lack of full monitoring, fire and maintenance safety, and module theft. These products and services all require major paradigm changes, or need to be redesigned which is more difficult to justify. Wattminder

* Information listed above is at the time of submission. *

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