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Automating Campus Dashboards Using Haystack

TRACK 1: Moving to High Performance Data Driven Buildings

Stephen M. Frank, PhDNational Renewable Energy Laboratory

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1. Understand how Haystackenables dashboard automation

2. See some practical examples ofHaystack-enabled dashboards

3. Review challenges and solutionsfor dashboard automation

Learning Objectives

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NREL Intelligent Campus TeamSuzy Belmont

Information Systems Coordinator

Kiley TaylorMetering Infrastructure

Engineer

Dylan CutlerOptimization

Engineer

Stephen FrankInstrumentation & Controls Engineer

Lissa MyersAnalyst

William GilliesUX/Brand Designer

David GoldwasserBuilding Energy

Modeler

Tau KungBuilding Energy

Research Engineer

Sakshi MishraMachine Learning

Specialist

Alex SwindlerSoftware Engineer

Bethany SparnSystems Engineer

Michelle SlovenskyProgram Manager

Jacob ReynoldsonControls Technician

Anya PetersenSoftware Architect

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Circa 2003Facility Floor Area: 323,776 ft2

Occupants: ~450

Circa 2018Facility Floor Area: 967,390 ft2 (+198%)Occupants: ~2100 (+367%)

5

Electricity Meters

NREL’s Energy Management & Information System

Building Automation

Systems

Onsite Generation

Electric Vehicle Service Equipment

Weather Measurements,

Forecasts

23 Facilities

Complete In Progress Meters Only No Data

22,842 Data Streams

5 2 13 5

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NREL EMIS Architecture

BAS

NREL-OwnedMeters

Utility-Owned Meters

SkySpark

Fault Detection

Dashboards

EVSE Demand Management

Other Research

Reporting

Weather Station

Electric Vehicle Service

EquipmentVarious Clouds

BACnet Connector

Modbus Connector

Custom Connector

CustomIntake Scripts

HistorianDatabase

Metadata Database

Research Servers

Web Services

EVSE Control Interface

DevicesApplications

Single API

API Load Balancer

Custom API

BACnet IP

Modbus IP

Proprietary

Web APIs

NREL Research Control Protocol

Haystack API

SkySpark Internal

Proprietary

Provide informationto campus occupants

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Provide visibilityto facility operators

Provideinsight for businessdecision makers

NREL’s Dashboard Goals

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Most dashboards still use manually-configured communication links

Image: Joseph A. Carr, Wikipedia (used with permission)

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Our design philosophy:Automate dashboard generation using Haystack

When an operator modifies facility information…

…all dashboardsupdate automatically

DynamicNavigation

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Goal: Dynamic

Everything!/nav

DynamicNavigation

DynamicLayout

DynamicData

Benefits:

Portability

Scalability

MinimalMaintenance

Q. How does it work?A. Tie modular UI elements

to Haystack queries

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Query: site

{site, dis:"Cafe", …}

Autogenerated Navigation:http://intelligentcampus.nrel.gov/#/building/cafe/

Same data, excluding siteMeter, but different view

{site, dis:"Cafe", area:12140ft², …}

1. Query: elec and meter and siteRef==@cafe

3. Read History

2. For meters, query:active and total and power and point

1. Query: point and weatherPoint and weatherRef==@cafe->weatherRef and (temp or ghi or cloudage or …)

2. Read: curValon each point

Number and placement of gauges from query result (using pre-defined layouts)

Expectation models built automatically from historical meter data

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Prediction Points

navName: “Real Power Total”id: @p:nrel:r:4point: sensor: active: power: total: unit: “kW”equipRef: @p:nrel:r:3 “Main Meter”spaceRef: @p:nrel:r:2 “Meters”siteRef: @p:nrel:r:1 “Cafe”…

navName: “Real Power Prediction”id: @p:nrel:r:5point: prediction: predictionOf: @p:nrel:r:4predictionAlgorithm: “ANN"predictionConfig: { … }equipRef: @p:nrel:r:3 “Main Meter”…

navName: “Real Power Upper Bound”id: @p:nrel:r:6point: prediction: predictionOf: @p:nrel:r:4predictionAlgorithm: “ANN"predictionConfig: { … }ub: // Upper BoundequipRef: @p:nrel:r:3 “Main Meter”…

navName: “Real Power Lower Bound”id: @p:nrel:r:7point: prediction: predictionOf: @p:nrel:r:4predictionAlgorithm: “ANN"predictionConfig: { … }lb: // Lower BoundequipRef: @p:nrel:r:3 “Main Meter”…

Challenges and Solutions

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Challenge: Integrating Spatial Data

• Haystack has limited native support forgeospatial or 2D/3D asset information

• (Partial) solution: cross-reference to anexternal graphical asset store

• Drawback: still requiresupdates in two places

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Challenge: API Limitations

• Client must initiate communication:Many clients ⇒ many API calls

• hisRead op is one point only:Many points ⇒ many API calls

• Limited/unclear support for COV subscription:Polling required to get updates (even with watchSub?)

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Challenge: Manage Caching

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(One Possible) Solution: Middleware

Haystack WebSocketsDatabase

Middleware

Clients

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1. Manages rescan/refresh2. Caches asset lists, metadata, navigation3. Centralizes updates ⇒ reduces API traffic4. Pushes new data to clients

Roles of the Middleware

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Challenge: Filtering / Visibility Control

Sometimes, you don’t want everything to show up…• During setup/commissioning• Important sites only• Sensitive facilities

(One Possible) Solution: Filter with dashboard tag

Live DemoTime and Technology Permitting…

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Thank You!

Stephen M. Frank, PhDStephen.Frank@nrel.gov

303-275-4249

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