sandborn@calce.umd.edu
(301)-405-3167

Peter Sandborn is a Professor in the Department of Mechanical Engineering and the Director of the Maryland Technology Enterprise Institute (Mtech) at the University of Maryland. His research interests include electronic part obsolescence management (including forecasting, mitigation and refresh planning), prognostics and health management for electronic systems (including optimal application of PHM to systems, and design for availability), technology tradeoff analysis for electronic packaging, parts selection and management for electronic systems, and system life-cycle and risk economics. He has also done work on return on investment, design for availability, and maintenance optimization for wind turbines and wind farms.

 

 

Recent Publications

A Modified Levelized Cost of Energy Model to Provide Purchase Prices and Price Schedules to Power Purchase Agreement, Maira Bruck, Navid Goudarzi, and Peter Sandborn, Proceedings of the European Wind Energy Association, Hamburg, Germany, Sept. 2016.

A Levelized Cost of Energy (LCOE) Model for Wind Farms that Includes Power Purchase Agreement (PPA) Energy Delivery Limits, Maira Bruck, Navid Goudarzi, and Peter Sandborn, Proceedings of the ASME 2016 Power Conference, PowerEnergy2016.

The Effect of Yaw Error on the Reliability of Wind Turbine Blades, Roozbeh Bakhshi and Peter Sandborn, Proceedings of the ASME 2016 Power Conference, PowerEnergy2016.

Context-driven decisions for railway maintenance, R. Villarejo, D. Galar, P. Sandborn and U. Kumar, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, Vol. 230 No. 5, pp. 1469-1483, July 2016.

PHM-Based Wind Turbine Maintenance Optimization Using Real Options, X. Lei and P.A. Sandborn, International Journal of Prognostics and Health Management, Vol. 7, No. 1, 2016.

Applying Forgotten Lessons in Field Reliability Data Analysis to Performance-Based Support Contracts, E. Settanni, N. E. Thenent, L. B. Newnes, G. Parry, Y. M. Goh, and P. Sandborn, Engineering Management Journal, Vol. 28, No. 1, pp. 3-13, 2016, http://dx.doi.org/10.1080/10429247.2015.1130508.

 

Upcoming Travel: Conferences, Events, and Guest Lectures
Event and Location Date
CALCE Fall 2018 EPS Consortium Meeting  October 23 - 24, 2018

 


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