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Keynote SpeechProfessor Saifur RahmanVirginia Tech Advanced Research InstituteVirginia, USA

IEEE IoT World Forum Milan, Italy 15 Dec 2015

SMART BUILDINGS & INFRASTRUCTURES

2www.saifurrahman.org

Virginia Tech Research CenterArlington, Virginia, USA

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PPT slides will be available at

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Intelligent LoadDemand or price-driven control of appliances

SensorsDetect outages, fluctuations, and disturbances

Distributed Arch.Local monitoring and control

Distribution NetworkInterconnected micro grids

Smart Inverters and StorageMinimize voltage and power fluctuations

Control Room FunctionsBalance electricity supply/demand across the grid

Bulk PowerPlant

Wind Power Park

Intelligent Interconnected Grid

© Saifur Rahman

Microgrid

Source: Internet of Things Philippines Inc., http://www.iotphils.com/solutions/smart-c ities/#prettyPhoto, December 2015.

Smart cities address urban challenges such as pollution, energy efficiency, security, parking, traffic, transportation, and others by utilizing advanced technologies in data gathering and communications interconnectivity via the Internet.

Smart Cities

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Key Areas for Smart CitiesSystemsareconnected togetherbyICTtotransmitandprocessdatainthesmartcityconcept .

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From Smart City to Smart Buildings

Smart City

Energy

Smart Grid

Smart Buildings

Smart grid: Bi-directional flows of energy, remote control/automation of power, integrated distributed energy…

Smart city: Complex system of interconnected infrastructures and services…

Smart buildings: Intelligent building automation systems, smart devices, productive users, grid integration…Supported by ICT and distributed networks

of intelligent sensors, data centers/clouds

Energy: Smart electric power grids, smart gas networks, smart water systems…

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Implementing smart building solutions can provide:

• up to 30% savings of water usage

• up to 40% of energy usage

• and reduce building maintenance costs by 10-30 percent

Smart BuildingsA smart building connects the building automation system with building operations, such as HVAC, lighting, water supply, sensor network and fire emergency.

Source: Smart Building Market To Grow 30% by 2020, http://www.iotsolutionprovider.com/smart-building/smart-building-market-to-grow-30-by-2020, December 2015.

Smart Building & IoT Evolution

Building Control• HVAC control• Lighting control

Building Automation• Building

management• Building control

Building Performance• Energy

management• Remote

monitoring• Remote control

Smart Building• Intelligent

buildings• Green buildings• Grid integration

1980 1990 2000 2010 2020<

InternetofThing(IoT)Connected Devices

50billions6.92billions0.2billions

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Improvesenergyefficiencyandfacilitatesdemandresponseimplementation inbuildings.

Virginia Tech (VT) Solution For Smart Buildings - BEMOSSBEMOSSisaBuilding EnergyManagementOpenSourceSoftware(BEMOSS)solution thatisengineeredtoimprovesensingandcontrol ofequipment insmall- andmedium-sizedcommercial buildings.

Threemajorloadsinbuildings• HVAC• Lightingloads• Plugloads

BEMOSSmonitoringandcontrol:

BEMOSS value:

BEMOSSwww.bemoss.org

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Key BEMOSS Features

Opensource&openarchitecture

Plug&play

Interoperability

Costeffectiveness

Scalability &reliability

Security

#1

#2

#3

#4

#6

#5

BEMOSS

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BEMOSSInteroperabilityCommunication Technologies

q Ethernet (IEEE802.3)q SerialInterface(RS-485)q ZigBee(IEEE802.15.4)qWiFi(IEEE802.11)

DataExchangeProtocolsq BACnet(IPandMS/TP)qModbus(RTUandTCP)qWeb(e.g.,XML,JSON,RSS/Atom)q ZigBeeAPIq SmartEnergy(SE)q OpenADR (OpenAutomated DemandResponse)

RS-485

Smart Energy Profile (SEP)

WEB

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Sensors/PowerMeters

Plug Load Controllers

Lighting Load Controllers

CT30 (WiFi)

CT50 (WiFi)

CT80 (ZigBee

SE)

ICM(WiFi)

RTU (Modbus)

VAV controller (Modbus)

Nest(WiFi)

Philips Hue(WiFi)

Light switch(WiFi)

Step-dimmed ballast

(ZigBee)Lighting

load controller(BACnet)

Smart plug(WiFi)

Smart plug(ZigBee)

Plug load controller(BACnet)

Power meter

(BACnet/Modbus)

Power meter(Modbus)

Occupancy sensor

(BACnet)

Light sensor(BACnet)

HVAC Load

Controllers

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BEMOSSautomaticallydiscoversnew loadcontrollersdeployed inabuilding

BEMOSSPlug&Play

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CPU: 1GHz ARM Cortex-A8

RAM: 512MB Price: $55

CPU: 1.2GHz Dual core ARM Cortex-A9

RAM: 1GB Price: $220

Beaglebone Pandaboard

Raspberry Pi

CPU: 700 MHz ARM1176JZF-S

RAM: 256MB Price: $35

CPU: 900 MHz Quad core ARM Cortex A7

RAM: 1GBPrice: $35

Raspberry Pi 2

Odroid C3

CPU: 1.7GHz Quad coreARM Cortex

RAM: 2GBPrice: $69

BEMOSSonVariousEmbeddedDevices

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ZigBee mesh

Plug Load Controllers

ZigBee mesh

Lighting Load Controllers

HVAC ControllersBEMOSS

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BEMOSS:SolutionsforSmallBuildings(e.g.,multi-tenantofficebldg.)

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BEMOSSScalability:SolutionsforLargerBuildings

BEMOSSZone1

BEMOSSZone2

Floor 1

Floor 2

BEMOSSCore

…

…

…

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BEMOSSZone1

BEMOSSZone2

Floor 1

Floor 2

…

…

…

Suppose BEMOSSZone2fails

BEMOSSCore

BEMOSSReliabilityandRedundancy

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BEMOSSZone1

Floor 1

Floor 2

…

…

…

BEMOSScorewilltakecareofdevicesinZone2

BEMOSSCore

BEMOSSReliabilityandRedundancy

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• Integration of machine learning algorithms to get better understanding of power consumption in buildings

• Integration of algorithms to manage a large amount of data collected from load controllers/sensors

• Integration of algorithms to allow management of multiple buildings in a transaction-based energy network

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BEMOSSPotentialApplications

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Area: 25,000SFEnergy: 14-25MWh/mo.Peakload: 61kW

1021PrinceSt.,Alexandria, VA22314

LivingLaboratory

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Classroom being Monitored by BEMOSS

BEMOSScore

Plugloadcontroller

Environmentalsensor(CO2,noise,temperature)

MotionsensorThermostat

Powermeter

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Remote Access• Each BEMOSS node is connected to the Internet to allow

remote access.

Professor Saifur RahmanVirginia Tech Advanced Research InstituteVirginia, USA(www.saifurrahman.org)

Thank You