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© Optimum EnergyCopyright © 2016 Optimum Energy LLC. All Rights Reserved. Proprietary & Confidential

PennState Health – Milton S. Hershey Medical CenterCentral Plant Optimization

Kevin Kanoff, CEM – Campus Energy Engineer, Milton S. Hershey Medical CenterJesse Ohm, PE, CEM, LEED AP – Senior Operations Engineer, Optimum Energy

October 05, 2017

Copyright © 2016 Optimum Energy LLC. All Rights Reserved. Proprietary & Confidential

VFDs added to 375 HP of primary chilled water pumps VFDs added to 1000 HP of secondary chilled water

pumps VFDs added to 750 HP of condenser water pumps Power Monitoring for all chillers and auxiliary

equipment Distribution Flow Meter and Temperature Sensors Deploy Optimum Energy Optimization Control

Algorithms and Monitoring Platform

Optimization Foundation - Scope of Work

2


The Challenge – Multi Plant Campus with Thermal Storage

3


Plant Layout – Satellite Plant 1

4


Plant Layout – Satellite Plant 2

5


Plant Layout – CUP (Commissioned mid-June 2016)

6


Optimize Through – Demand Based Relational Controls

Cooling Tower Fan Speed

Condenser Pump Speed

Chiller Vane & Speed

Chilled Water Pump Speed

Air Handler Fan Speed

Total System Cooling Output

Total System Energy Input

Total System Schematic

VFD’s

Presenter

Presentation Notes

Starting on the device layer: we integrate directly into HVAC controls – our advanced relational control algorithms continuously calibrate the HVAC system. The software makes continuous, automatic adjustments to the system based on the building load. Our solution advises the BAS on what actions to take to optimize the plant, providing operating instructions at 30 second intervals. This ongoing process continuously optimizes the kw draw for each component.


Optimize Through – “Sweet Spot” Multi-Plant Loading

8


TES Must Remain available for Demand Response• Strategy Included hybrid mode of Optimization and

Manual Demand Response Action.

SAT plants elevation created negative return pressure conditions at high SAT plant flows.• Resolved through adjusting TES transition sequence

changes and limiting SAT plant range

Changing the Mindset • Shift from constant primary flow to variable primary flow• Variable chilled water temperatures• Variable distributions pressures• Variable condenser water flow through chillers• Wide range of tower water temperatures

Other Operational Requirements

9


Efficiency Results – Prior to Optimization (2014)

10


Efficiency – Simulation during Analysis Phase

11


Projected Savings – Electrical (kWh)

Total annual projected savings of 3,406,502 kWh for 201612

Chiller Plant Efficiency Scale – Current and Projected

Average annual chilled water plant efficiency in kW/ton. Input includes: chillers, tower fans, condenser pumps, and chilled water pumping.

.828Current

.691Projected

16.5% Efficiency Improvement


Efficiency – Prior to Optimization (2014)

13


Efficiency – Post Optimization (2016) - 0.709 kW/Ton

14

Total annual savings of 4,047,952 kWh (2016)


Efficiency – Post Optimization (2017) - 0.675 kW/Ton

15

Total year to date savings of 3,623,706 kWh (through 09/2017)


Site Efficiency – Post Optimization (2017)

16


Utility Efficiency Analysis – Pre/Post (2016)

17

Utility verified savings of 4,156,991 kWh for 2016

• $415,699 Utility Incentive

Thank you. Engineered. Deployed. Proven.

Copyright © 2016 Optimum Energy LLC. All Rights Reserved. Proprietary & Confidential. Information contained in this presentation and otherwise disclosed orally by Optimum Energy, LLC contains confidential information which is subject to the obligations of the confidentiality Agreement between Optimum Energy, LLC and you (“the NDA”). You agree to treat the information as donfidential in accordance with the NDA.

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