SFBA Chapter March Event: Utility Scale Energy Optimization Technologies and Modeling Techniques

Host:

San Francisco Bay Area Chapter

Online

March 6, 2019

California aims to be a state powered by 100% clean electricity by 2045. The University of California System has a goal to be carbon neutral by 2025. Both are ambitious goals that are easier said than done. Campuses, whether corporate or academic are huge consumers of energy and it’s important to meet their future electrical, heating and cooling needs in a cost and carbon optimized manner. What technologies and modeling techniques can we use to make these goals a reality?

Most campuses are served by some type of central utility plant, whether it’s electricity + thermal storage (such as Stanford University) or cogeneration. They want to upgrade all their systems, but it is a significant investment that must be resilient for 30+ years. The first step is visualization of this potentially incomplete information in a digestible way. The next step is an iterative, multi option cost analysis, whether that is heat recovery chillers, thermal storage, on site generation or others. Most of the presentation will focus on the challenges inherent in modeling these systems considering the level of uncertainty involved in a master plan. The last step in CUP optimization is to construct a flexible model architecture that will remain functional in 5-10 years when construction plans may change drastically. 

This presentation will cover the challenges and opportunities associated with each step of the process to provide a project life cycle view. As for the technologies themselves, there will be a focus on battery storage and options for carbon free heating. Batteries might work due to the idea of value stacking. There are benefits unique to a campus other than simple load shifting and peak shaving. It will also discuss methods available for fossil free heating, which continues to be the major roadblock on the path to carbon neutrality.

Date & Time: Wed, Mar 6, 2019 6:00 PM - 8:00 PM PST

Location: TBD

Register: https://register.gotowebinar.com/register/7709430684266880525​