International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025 www.irjet.net p-ISSN: 2395-0072
Intelligent Occupancy Sensing Sun-Tracker Skylight Louver System to Enhance Day-Light Penetration along with BIPV towards BEE Net Positive Energy Buildings Program
Sandip Das
Department of Electrical Engineering, Hooghly Engineering and Technology College, Hooghly-712103, India
Abstract - InspiredbyBEENetPositiveenergybuildings labeling program, an environment friendly novel model is designed to keep Day-Light penetration through sky light alongwithoccupancysensingautomatedBuildingIntegrated Photo Voltaic (BIPV) system. Because, nowadays energy abundant could be considered as energy lost, mainly for solar light energy integrated with SPVs in our household. Most of the Day-light energy should be utilized to sustainabilityandhumanhealth.Anautomatedintegrated louversystemisutmostnecessarytoamalgamateboththe cause. The integrated system will generate renewable energy,whennotengagedinDay-lightharvestingbymeans of automated intelligent louver system Likewise the idea developed as this model; using Arduino UNO, ultrasonic sensors,servomotorandbatterybackup.
Key Words: ARDUINO UNO, Sun-Tracker, renewable energy, Skylight, BIPV, Intelligent
1. Introduction
Thegrowingglobalclimateandenvironmentalchallenges, the energy transition of using clean renewable energy insteadoftraditionalfossilenergyhasalreadyemergedas theprevailingtrend.Also,BEENetPositiveenergybuildings labelingprogram[1] havebeenintroduced;wherebuilding specific energy intake & recovered ratio are highlighted. However,theadverseimplicationsoflarge-scalerenewable energy applications, including safety & stability and economical operation, are becoming more prominent. AI techniques with unique advantages in automation, intelligentidentification,monitoringandmanagementhave beenwidelyrecognized[2].Withtheassistanceofintelligent automated techniques, the applications of large-scale RES canbeincreasinglyrational andintelligent,whichpaves a promising pathway for promoting their large-scale implementations.Numerousstudieshavedemonstratedthat AI techniques can contribute to the accurate performance predictionoflarge-scaleRES,aswellastoreasonableenergy distributionandcontroloptimizationofintegratedsystems. Theseenabletoachievethetargetsofmatchingcustomers’ energy demands, cost-effectiveness and improvement of renewable energy utilization as well as minimizing environmentalimpact[2] However,smallintegrationwith buildingequippedintelligentdeviceslikeBIPVwithLouvers, andtheiroperational techniques arealsoessential factors
affectingitsrapiddevelopment.Toaddresstheseissues,this paperpresentsanintelligentmodelsystemrecommendation forfuturestudies.
In these fields, governments across countries are encouraging for robust national energy strategic plans, reliable technical guidelines, and substantial financial incentivesinthefuture,asBEEinIndia[1]
2. Sun-Tracker Skylight Louver System
A Sun-Tracker Skylight Louver system fitted with SPV module could be an essential factor to emphasize the Net Positivemovement,asapartofBIPVsystem.Essentiallythe Louver could track Sun path following solar illumination, when it is closed. And otherwise could harvest Day-light workingopenasSky-light,sensingoccupancyintheutility sphere of the concerned room, by enhancing Day-light penetration.
3. Prototype Test model
ThephysicalpartsofthePrototypeTestmodelaredivided into the replica of ‘Foldable Skylight Louver system’ with Hollow Field (Used as Hollow Bucket to replicate Hollow Room, for further Illumination Measurement in future studies)andtheautomationdesignedwithArduinoUNO[3] &itssoftwareArduinoIDE,ultrasonicsensors,servomotor, batterybackup,connectors,Louverlikeopeneretc.Aperson may occupant the place & it will operate automatically by checking surrounding occupancy & solar illumination by trackingtheSun Sensorsworkastheeyeoftheprototype modelandservomotorsaslimbs,toopenitsSky-Lightitself, when someone comes to its vicinity to working plane for workunderskylightinsidethe room
3.1 System Components
a) REQUIREDHARDWARE:
i.ARDUINOUNOR3
ii.SERVOMOTOR(SG90)
iii.LouverSet-up
iv.BREADBOARD
v.ULTRASONICSENSOR(SR07)
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025 www.irjet.net p-ISSN: 2395-0072
vi.3.7VBATTERIES(2pcs)
vii.JUMPERWIRES(30nos.)
viii.LDRMODULE
ix.GSMMODULE(SIM800L)
b) REQUIREDSOFTWARE:ARDUINOIDE
2 1 COMPONENT QUANTITY for Prototype Model
Table -1: ComponentQuantityListing
Components Specification Quantity
ARDUINOUNO ATmega328P 1
SERVOMOTOR 42oz/inches,+5V 1
GSMMODULE SIM800LGSM 1
ULTRASONICSENSOR HC-SR04 2
BATTERYSource 3000mAh3.7VDC 18650 Rechargeable LithiumBattery 2
System Software: ARDUINOIDE www.arduino.cc Freeversion
LouverSetup Foldable with HollowField 1
Fig -1:BlockdiagramofthePrototypeModel
Fig -2:PrototypeTestModelwithoutSPVmodule
Fig -3:ProgrammingonARDUINOIDE[3]platformforthe PrototypeTestModel
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025 www.irjet.net p-ISSN: 2395-0072
-4:PrototypeTestModelworkingwithreplicaofSkyLightLouversmovement
Fig -5:SPVmoduleforthePrototypeTestModel,modules aretobeusedontheSkylightLouversexternalside,to recoverSolarPowerasBIPV.
4. Observation & Result Analysis
ThePrototypeTestModel isdevelopedasshowninFig-2, along with Programming on ARDUINO IDE platform Fig-3 andtestedasshowninFig-4.
-7:On-OffVoltage&Currentprofileofthesystemat physicalOutputport
ThesystemtestedonARDUINOIDEplatform(asshownin Fig.6) to work independently & effectively with marginal delay time & sharp On-Off time, as shown in Fig.7, at per referencesuppliedbythemanufacturers.
5. Conclusion
FuturescopeisopenedtodesignaBIPVsystemconsistingof thiskindofmodel,aswellasfuturisticdatagenerationover energy recovery scheme due to the use of Net Positive EnergyBuildingsProgram.
Fig
Fig -6:TestoutputonARDUINOIDEplatform
Fig
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025 www.irjet.net p-ISSN: 2395-0072
ACKNOWLEDGEMENT
Theauthoracknowledgesthesupportandinspirationfrom theinstitutionaswellasfromit’sstudentcommunity.
REFERENCES
[1] https://beeindia.gov.in/en/programmesenergyefficiency-in-buildings/shunya-labeling
[2] Z Liu, Y. Sun, Y. Zhou; Artificial intelligence powered large-scalerenewableintegrationsinmulti-energysystems for carbon neutrality transition: Challenges and future perspectives. https://doi.org/10.1016/j.egyai.2022.100195
[3]https://www.arduino.cc
Author: SandipDas, AssistantProfessor, B-TechinElectricalEngineering, MasterofEngineeringfromDepartmentofElectrical Engineering,JadavpurUniversity;
YogaWellnessInstructor, YogaCertificationBoard, MinistryofAYUSH,Govt.ofIndia. Email:emailtosandipdas@gmail.com