December 10-11, 2014, Portland, Oregon

GridWise® Architecture Council

Mary Ann Piette

Lawrence Berkeley National Laboratory

Automated M&V of Transactive Energy Systems,

Load Shape Analysis and Consumer Engagement

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Introduction Transactive Networks needs ability to predict electric load

• Predict baseline load for short time intervals

• Predict baseline load for long time intervals EE savings

• Operate buildings more efficiently (lighting and HVAC) for

saving energy and $

• Improve Fault Detection and Diagnostics - find and fix

operational problems

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Baseline and Load Shape M&V Tools

o Time-of-week indicator variables, αi

o Piecewise linear temperature dependence, βj

o New innovation to more heavily weight

more recent data for DR vs EE event

When building is in occupied mode:

When the building is in unoccupied mode:

 

ˆ L o(ti,T(ti)) = a i + b jTc, j (ti)j=1

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å [Mathieu, Price, Kiliccote, and Piette, 2011.

IEEE Transactions on Smart Grid

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L̂u(ti,T(ti )) =ai + buT(ti )

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Customer Facing Applications • Analysis of building’s its ability to “shut down” at night

• Analysis of elec data in conjunction with weather to evaluate HVAC

operations

• Analysis of elec data in conjunction with interval water usage data to

determine load shape issues

• Analysis of elec and weather to determine if building’s HVAC system

is behaving properly

http://www.cs.berkeley.edu/~stevedh/smap2/

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Comparing Day and Night Energy (1 of 2)

Average electric load during "operating hours" and "non-operating hours" on

each day of week, for a library. Width of bar proportional to # of hr ; height is kW.

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Comparing Day and Night Energy Use (2 of 2)

Average load during “operating “and “non-operating hours” each day of

week, for a building that includes a homeless shelter

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24x7 Operational Problem- Diagnosed

with Internal Water Data

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Small Office – Heat Pump Problem

15-min elec load as function of time (black) w/ baseline prediction (blue)

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Volttron Agent Publically Available

Load shape agent available in Volttron

http://gridoptics.pnnl.gov/VOLTTRON/

https://github.com/VOLTTRON/volttron/tree/2.x/Agents/BaselineAgent

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Proxy Monitoring New Sources of Occupancy Data Improve Models

Aug 28

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25

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(kW

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Aug 28

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Aug 28

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Wi-

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Aug 28

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AR

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Elec

Phone

WIFI

ARP

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Summary

• New tools for automated M&V of long term and

short term transactions and fault diagnostics

• Addition of occupancy data will enhance,

control, M&V and prediction of grid

transactions

• New business models and customer

engagement for most value

• New opportunities for

transactive energy systems

and new value to

customers