Optimization Modeling Of Solar Plus Storage For Demand Shaving And Building Resiliency

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Optimization Modeling Of Solar Plus Storage For Demand Shaving And Building Resiliency

Published Date

2018-06

Publisher

Type

Thesis or Dissertation

Abstract

This thesis looks at combining small scale battery storage in combination with solar PV to achieve peak demand savings and building resiliency at the Hartley Nature Center. Research was carried out by tracking loading data for a calendar year, resulting in recommended loading changes and the creation of a deterministic optimization model for battery operation. When combined with the elimination of excessive loads such as the electric boiler, the deterministic model’s optimized settings showed that the installed 14.25 kWh battery could yield annual economic savings upwards of $750 while operating at efficiencies above 90%. Combining the battery with solar PV added further value from avoiding grid outages, resulting in potentially thousands of additional dollars in savings.

Description

University of Minnesota M.S.E.M. thesis.June 2018. Major: Engineering Management. Advisors: Alison Hoxie, Ona Egbue. 1 computer file (PDF); x, 92 pages.

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Perry, Aaron. (2018). Optimization Modeling Of Solar Plus Storage For Demand Shaving And Building Resiliency. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/200114.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.