ΠαπαδόπουλοςΆρηςΠρόεδρος&ΔΣarpap@zeb.grwww.zeb.gr

Buildingefficiencyservices&ICTenvironment

Building Efficiency Servicesand ICT

Environment

The building efficiency imperative

41%buildings’ share of global emissions

CO2 31% industry

28% mobility

Up to

80%of building costscome fromoperations

30% maintenance

40% energy

Meeting the new types of competitive disruption demands new cost efficiencies and a greener market image

Volatile energy prices drive new requirements in strategic energy procurement

Increasing cost pressures demand optimized energy procurement, energy efficiency and consumption control

Increasing environmental and non - financial reporting regulations demand new capabilities in energy efficiency and carbon management

Real estate is often

the 2nd largest expenseon organizations’ income statement

500climate laws passed in 66 of the world’s largest emitting countries

50%of the energy consumed by buildings is wasted

3Buildingefficiencyservices&ICTenvironment

Theyconsume

40%ofallenergy

Theyuse

25%ofallwater

Sources:CommScope/IDCEnergyInsights,BusinessStrategy:GlobalSmartBuildingTechnologySpending2015–2019ForecastIntel,SmarterBuilding&HomesWiththeInternetofThings

Theyemit

33%ofallgreen-housegases

CO2

The global impact of buildings

4Buildingefficiencyservices&ICTenvironment

GrowingrelianceonOPEXforinfrastructureupgrades

Demandingemployeeexpectationsofworkplace

Emergingtechnologiesbecomingviablequickly

Sustainabilitytargetsareexpanding

Evolvingsafetyandcyber-securityneeds

Agingin-houseworkforcesandskillsetgaps

The evolution of business expectations

5Buildingefficiencyservices&ICTenvironment

How can webetter manage our operational costs?

How can we minimize our energy spending?

How can we share our results with building occupants?

Unrestricted © Siemens Switzerland Ltd 2018July 2018 Author/DepartmentPage 6 6Buildingefficiencyservices&ICTenvironment

Data Connectivity

Buildingefficiencyservices&ICTenvironment

IEEE: InstituteofElectricalandElectronicsEngineers8Buildingefficiencyservices&ICTenvironment

How Artificial Intelligence putsthe ‘smart’ in smart buildings

Buildingefficiencyservices&ICTenvironment

ARTIFICIAL INTELLIGENCE (AI) : BASIC BUILDING BLOCKS• 1. MACHINELEARNING

Machinelearningisanapplicationofartificialintelligence(AI)thatprovidessystemstheabilitytoautomaticallylearnandimprovefromexperiencewithoutbeingexplicitlyprogrammed.Theprimaryaimistoallowthecomputerslearnautomaticallywithouthumaninterventionorassistanceandadjustactionsaccordingly.

• 2. DEEPLEARNINGDeeplearningisatypeofmachinelearningthattrainsacomputertoperformhuman-liketasks,suchasrecognizingspeech,identifyingimagesormakingpredictions.Insteadoforganizingdatatorunthroughpredefinedequations,deeplearningsetsupbasicparametersaboutthedataandtrainsthecomputertolearnonitsownbyrecognizingpatternsusingmanylayersofprocessing.

• 3. NATURALLANGUAGEPROCESSINGNaturalLanguageProcessing(NLP)isakeybuildingblockthatwillhelpcomputerslearn,analyze,andunderstandhumanlanguage

• 4. NATURALLANGUAGEGENERATIONNaturallanguagegeneration(NLG)istheuseofartificialintelligence(AI)programmingtoproducewrittenorspokennarrativefromadataset5. VISUALRECOGNITIONImagerecognitionisusedtoperformalargenumberofmachine-basedvisualtasks,suchaslabelingthecontentofimageswithmeta-tags,performingimagecontentsearchandguidingautonomousrobots,self-drivingcarsandaccidentavoidancesystems.

Buildingefficiencyservices&ICTenvironment

OSI(OpenSystemsInterconnection)11Buildingefficiencyservices&ICTenvironment

12Buildingefficiencyservices&ICTenvironment

• Energy management services • Reporting, alarms, self learning, analytics• Smart energy services

Service Layer

• Sensors configuration• Real time measurement • Control

Control Layer

• Data aggregation G/W• ZigBee, • Mobile & Fixed BB• m2m modules

Communication Layer

• Smart plugs, smart electricity submeters, thermostats, cameras, motion detectors, door/window sensors

• Smoke detectors, CO sensors, flood sensors, etc

Smart Sensors Layer

13Buildingefficiencyservices&ICTenvironment

Data Connectivity Technologies

FieldDeviceLevel(Meters,sensors,actuators,IoTDevices,etc.)

SubsystemandAutomationLevel

ManagementLevel

DataFlowto/Fromthecloud

CloudLevelSecurecommunication

RESTAPI

DataServicesApp

BMS

BacNET Monitor

SoftwareProxy

PX MeterBox

MindConnectNano

14Buildingefficiencyservices&ICTenvironment

15Buildingefficiencyservices&ICTenvironment

NBIoT Energy metering Example 1

• ContinuousImprovement• ProactiveMaintenance• OccupantComfort• Real-TimeAlerts

16Buildingefficiencyservices&ICTenvironment

Cloud-Based Building Management SystemExample 2

17Buildingefficiencyservices&ICTenvironment

18Buildingefficiencyservices&ICTenvironment

19Buildingefficiencyservices&ICTenvironment

20

2015ASHRAEHANDBOOK:HVACApplications

Buildingefficiencyservices&ICTenvironment

CloudFIMsFacility Improvement

Measures

Buildingefficiencyservices&ICTenvironment

100%

60%

30%

Why is Energy and AssetEfficiency important?

Energy efficiency 40%Up to 40%

of total costs of operations are related to energy

Up to 30%of total costs of operations are related to

maintenance

30%

Asset efficiency

Total cost of operation

22Buildingefficiencyservices&ICTenvironment

23

2015ASHRAEHANDBOOK:HVACApplications

Buildingefficiencyservices&ICTenvironment

AFDDisanautomaticprocessbywhichfaultyoperation,degradedperformance,andfailedcomponentsaredetectedandunderstood.Theprimaryobjectiveisearlydetectionoffaultanddiagnosisoftheircauses,enablingcorrectionofthefaultsbeforeadditionaldamagetothesystem,lossofservice,orexcessiveenergyuseandcostresult.Thisisaccomplishedbycontinuouslymonitoringtheoperationofasystem,usingAFDDprocessestodetectanddiagnoseabnormalconditionsandthefaultsassociatedwiththem,thenevaluatingthesignificanceofthedetectedfaultsanddecidinghowtorespond.Forexample,thetemperatureofthesupplyairprovidedbyair-handingunit(AHU)mightbeobservedtobechronicallyhigherthanitssetpointduringhotweather.Thisconclusionmightbedrawnbyatrainedanalystvisuallyinspectingatimeseriesplotofthesupplyairtemperature.Alternatively,acomputeralgorithmcouldprocesstheredatacontinuously,reachthissameconclusion,andreporttheconditiontooperatorsorinteractdirectlywithacomputer-basedmaintainedmanagementsystem(CMMS)toautomaticallyschedulemaintenanceorrepairservices.

CHARTER 61. SMART BUILDING SYSTEMS

24

2015ASHRAEHANDBOOK:HVACApplications

Buildingefficiencyservices&ICTenvironment

Resultsü RemoteOperational

Changes

ü ProactiveAnalyticsü PerformanceAnalysis

ü EnergySavingsü LowCostData

DrivenSolution

ü TargetedMaintenanceü OutcomeBased

ProgramReporting

CloudFIMs –Remote Analytics and Services that Drive Results

Services Provided§ Remote Corrective

Actions – Monthly§ Targeted Equipment

Deficiency List§ Quarterly Program ReviewFaultDetectionandDiagnostics

3AirHandlingUnits

1BoilerSystem

1ChillerSystem

25Buildingefficiencyservices&ICTenvironment

CloudFIMs –Easily identify issues that make a differenceOutsideairtempsensordeviationDeterminesdownstreamHVACsystemsoperationandscheduleHighenergysavingdependingonseverityandsystemconfiguration

SupplyairstaticpressureresetdeviationDemandbasedsystemmanagement

SimultaneousHeatingandCoolingEliminationPreventionofreheatingandre-coolingtheairsimultaneously

BoilerResetScheduleDeviationOftenchangedmanuallyornotimplemented

SupplyairtemperatureresetscheduledeviationMostcommonlymanuallyoverriddenparameter

OverVentilationPreventionPreventheatingcoldoutsideairfornoreason

ChillerPerformanceVisibilityShowschillerplantperformanceandidentifiesaneedforaconversationaboutourcompletechilleroptimizationstrategyknownasDemandFlow

Freecoolingnotworking

Improveeconomizermodeoperation–useenthalpybasedoperationinsteadofstraightdrybulboperation

26Buildingefficiencyservices&ICTenvironment

Digitalization

• Digitalizationnownotonlystretchesacrosstheglobebutalsoacrossthebroadrangeofbuildingdisciplinesandbeyond.

• Today,datacanbegatheredfromsafetyandsecuritysystems,HVACequipmentandcontrols,energyefficiencyprogramstogetherwithlightingandpower.

Buildingefficiencyservices&ICTenvironment

The new digital world

• Intelligentsensors,actuatorsandsimilardevicessupplyawealthofdatawhichuntilnowhasmostlybeenunused.

• Intelligentevaluationusingbigdataapplicationscannowbeusedtocombinethesemassivebutunstructuredamountsofdataintotransparentinformationwhichinturncanbefeedintolinkedperformanceindicatorsinrealtime.

• Smartalgorithmscaneasilyevaluatetrendsandrecognizepatternsinuserbehaviororconsumption,therebyenablinginformeddecisions,predictivestrategiesandcontinuousoptimization.

• This,togetherwithsophisticatedself-optimizationfunctions,givesbuildingsacentralnervoussystemmakingthemsmart.

Buildingefficiencyservices&ICTenvironment

Transformation process in the new digital world• Buildingdigitisation ishereanddatacanbeleveragedto

improveefficiencyanddrivedowncosts• Thedigitaltransformationwillleadtonewandchanging

businessmodels• Thesoftwarebecomesacentralfactorwithopennessand

transparencybeingkey.Closedandproprietarysystemswillbebiglosers

• PartnershipsbetweentraditionalindustrialenterprisesandlargeITplayers

• Networkofpartnershipsandalliances,companiesareinterconnectedinecosystemsbutatthesametimeactascompetitorsinthemarket

Buildingefficiencyservices&ICTenvironment

The future

Progressisnowacceleratingbypairingtechnologyandanalyticswithbuildingexpertsandservice.

Buildingefficiencyservices&ICTenvironment