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Banta Systems
Energy APIs Forecast Optimization & Peak Demand Software is a site
specific custom software application. This software
interfaces with your Building Automation System.
As your mechanical equipment adjust supply air temperature set
points supply air pressure set points, building pressure set points,
zone temperature set points and zone air flow set points to meet the
properties internal load demands reactively, Energy APIs adjust your systems set points proactively
to optimize mechanical system operations. This
approach allows mechanical systems to run more efficiently and
operating below peak demand levels without
sacrificing comfort.
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Banta Energy
APIs was developed to run as Software As A Service.
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Customer
Scope5 Base Line
Energy Reduction Reporting between 12% to 16% on average, depending
on building automation control and threshold allowances.
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The Pacific Gas and Electric
Company’s (PG&E) Retrocommissioning Program provides incentives that connects you
with experts to make sure your facility, the equipment and systems within them
are running in peak condition for optimal energy savings.
179D COMMERCIAL BUILDINGS ENERGY
EFFICIENCY TAX DEDUCTION
How do I get started?
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To start, click and complete the
My Info Form. We will work
with you to obtaining a base line of your commercial or industrial
properties energy consumption.
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After we have obtained the base line energy consumption and current
operational characteristics of your business, we can provide recommendations
for mechanical changes, control strategies and
implement a custom energy savings software that will optimize your buildings systems operations.
How does the system work?
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Our proprietary Forecast
Optimization & Peak Demand Software "Energy APIs" runs as Software As A
Service on our EAPICM-1 and connects directly to your building automation
hardware. Learning algorithms pull system data, weather data, usage data
while tracking peak load to build models of the building operations. Peak
Load for any building is a moving target and can amount to 50% increase of
your energy usage cost. Energy API's can then adjust set points, demand
levels and system triggers functions to optimize operations, leveraging your
thermal storage.
How does this system prove energy savings?
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