Behind the Meter Energy Storage Applications & Solutions Design

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1 Behind the Meter Energy Storage Applications & Solutions Design

2 A window into the Resiliency need around Goleta A shortfall in energy supply / availability must be met with either: 1. Increases in local supply (e.g., regional or local generation) 2. Reduction in demand (e.g., regional or local curtailment)

3 STATE OF CHARGE POWER (kw) Behind the Meter Storage = More Control for the Customer Lower Demand and Energy Costs Control energy consumption with no impact to operations Protect against future rate increases Capitalize on price volatility; Monetize your energy usage LOAD MANAGEMENT ENERGY ARBITRAGE LOAD SHIFT / DEMAND RESPONSE % :00 2:00 4:00 6:00 8:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00 Pre-AMS Elec (kw) Post-AMS Elec (kw) Battery State (%) Battery In, Out (kw) 300% 200% 100% 0%

4 More Control over Costs As Time of Use times change, storage provides a flexible solution Summer TOU Periods Current SUMMER TOU: 12 6 pm, Weekdays June - September Off-Peak Mid- On-Peak Mid- Summer TOU Periods Off-Peak Mid- On-Peak Mid- Off- Proposed Year Round TOU: 4 9 pm, Weekdays Year Round

5 More Control over Usage Behind the Meter Energy Storage provides multiple load shaping services to save or earn money with no operational changes Demand Management: Battery discharges to control peak demand Utility Dispatch: Battery discharges to serve utility dispatch, significantly reducing building draw from grid Batteries charge at lowest market prices

6 Solutions Design by Advanced Microgrid Solutions Ask not what a battery can do for you Ask what you can do with a battery. Solutions Design helps you find not just the value of energy storage, but the value of your load Old Peak kw Peak Management 1 3 New Peak 2 Load Analysis of Value Potential: 1. Demand Management 2. Baseload (Utility Load Reduction) 3. Operational Inefficiency Solar ITC Charging TOU Arbitrage

7 AMS Case Study 1: Water Treatment Plant Existing Facility Load before Onsite Generation Global Peak (June)

8 AMS Case Study 1: Water Treatment Plant Modeled 280 kw Microturbine Operating Year-Round New Global Peak (June)

9 AMS Case Study 1: Water Treatment Plant Modeled 1 MW of New Solar in addition to microturbine New Global Peak (June) Solar is intermittent and does little to firmly reduce demand charges

10 AMS Case Study 1: Water Treatment Plant Modeled incremental storage system w/ optimal size 1,000 kw 6,000 kwh New Global Peak (June) Load Shaped to reduce both Global and TOU demand charges Total Modeled Net Savings to Customer: ~$100,000 Modeled participation in Utility Capacity Program, earning extra revenue at no operational cost

11 AMS Case Study 2: University Batteries + Solar modeled as complementary systems Solar output wanes in the afternoon, exactly when energy is most expensive. AMS designs solar & storage to complement each other. Storage finishes what Solar Started. AMS sizes storage systems to be large enough to hedge. When TOU periods begin to shift further outside daylight hours, storage will drive all the TOU savings.

12 AMS Case Study 3: Commercial Real Estate Modeling Impact of Future Tariff Changes help find optimal system size Customer eligible to participate in Utility Product for SCE AMS Analytics modeled multiple potential tariff changes to assess impact on Host Customer Savings Energy Storage is remarkably resilient to tariff changes Battery actively manages load to peak threshold Battery discharges fully from 2-6PM to provide utility load relief Battery lowers load / reduces costs during 4 8pm TOU window Old Facilities Peak New Facilities Peak Battery charges during low cost off-peak periods

13 Optimized Portfolio Dispatch for Grid Services Solar operations are predictable Battery operations must be determined.

14 Alex Sherman Senior Director, Analytics & Fleet Operations 25 Stillman Street San Francisco, CA

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