Smart and Sustainable Campus€¦ · Smart and Sustainable Campus. Smart Urban Solutions. Smart...

University Campus Infrastructure in collaboration with Department of Industrial Systems Engineering and Management

Smart and Sustainable Campus

University Campus Infrastructure in collaboration with

Department of Industrial Systems Engineering & Management


Smart and Sustainable CampusSm

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University Campus Infrastructure in collaboration with Department of Industrial Systems Engineering & Management


Virtual NUS (University Town)


Virtual NUS (Aerial view of Faculty of Engineering and School of Design & Environment)

• Drone Aerial survey + Lidar survey + photogrammetry + GIS Date

• Seamless Connectivity & Real-time Bus Location

• Campus-wide crowd sensing

• Solar Energy Optimisation

• Augmented Reality on underground services

• Computational Fluid Dynamics (CFD)


VIRTUAL NUSINNOVATION 4.0 WALKTHROUGH



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• Real time and historical crowd data– By Floor– By Building– By Cluster

• Useful for planning of facilities resources

• Projection of crowd movement

Crowd Density Mapping



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• Gather real-time locations of all university vehicles

• Obtain fleet data (i.e. mileage, idle time, usage hours etc) to optimize the usage of vehicles

• Generate reports on drivers’ driving habits (i.e. speeding, braking, accelerating etc) to promote safety driving habits

• Provide real time traffic conditions within the campus for trip planning

Real-time Fleet Management System


• Live bus location allow better travel planning across campus

Real-Time Integrated Internal Shuttle Bus Location


• Reduce reliance on manpower

• Conversion to greener vehicles progressively for university fleet

• Reduce carbon emission

• On-demand Bus

• Data can be used to track demand for route planning

SMART TRANSPORT - Autonomous and Green Vehicle



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Access Control SystemIntruder detectionCampus wide CCTV

Video analyticsEmergency amenities

Geospatial informationSocial media monitoring

Alarm systemDrone surveillance

Operational Effectiveness• Providing the right information to Command Centre and Ops for real time decision making• Pull out data to identify enhancement to work processes, infrastructure or measures adopted

Real Time Security Information



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• Development of Multi-scale and Multi-physics urban microclimate model on the neighbourhood scale (Urban-Neighbourhood Scale)

• Kent Ridge Campus will be used as the test case to validate the proposed UHI-CFD and air pollutant dispersion model.

• Sensors will be deployed within the Campus which will serve to calibrate and validate the CFD model for wind and air pollutant simulations

Computation Flow Dynamics


10am

12pm

2pm

SOLAR ENERGY OPTIMISATION



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• Refine Data Analysis for more in-depth study on past projects cost trends

• Review existing data collection efforts

• Automate transfer of database inputs

Project Cost Trend



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Geographical Information System (GIS)


Geographical Information System – Topography


Geographical Information System – Underground Utility Services


Geographical Information System – NUS Trees Record


Geographical Information System – Yellow Ceiling Route @ Humanity Cluster


Geographical Information System – OCS Database Map (2017)


* to visualise where are the incidents on campus

Geographical Information System – OSHE Incident Reporting*


Geographical Information System – OCA Visualisation of Car Parking Provision


Geographical Information System – Building 3D Model into the Online Platform



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• Door to door route through turn by turn navigation

• Seamless indoor-outdoor paths

• Recommend the fastest route (by foot and shuttle service)

• Provide live locations of all shuttle services

SMART MOBILITY - NUS Maps


NUS MAPS APP

Getting around the campus using

NUS Navigator

Navigation Options: Bus vs Walk Only vs Sheltered Only


• Allow pre-ordering

• Cashless payment

• No queueing

• Enhance user experience

NUSmart Dining Mobile App



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University Campus Infrastructure in collaboration with Department of Industrial Systems Engineering and Management34

Objectives(Baseline of FY2012, unless otherwise denoted) Target for FY 2020

1 Reduce carbon emissions (tonnes) By 23%, against BAU by 2020, from 2008 baseline

2 Reduce Energy Usage Intensity (kWh/m2/year) Reduce by 20%

3 Improve Water Efficiency Index (m3/m2/year) Reduce by 20%

4 Increase overall recycling rate (%) Increase to 25%

5 Increase number of Green Mark certified buildings Increase to 40

6 Increase green spaces (in buildings) area (m2) Increase to 45,000 m2

^ Business As Usual (BAU) carbon emissions at Year 2020 is projected to be 249,363 tonnes. NUS’ commitment is to reduce carbon emissions by 23% below BAU by FY 2020, using FY2008 as baseline.

Sustainability Strategic Plan - Indicators & Targets

University Campus Infrastructure in collaboration with Department of Industrial Systems Engineering and ManagementOn Course to Meet 2020 Targets

Sustainability Result - (Trends)CO2‘000 (tonnes)

Energy Usage IntensitykWh/m2/year

Water Efficiency Index(m3/m2/year)

Recycling Rate %

No. of Green Mark Buildings Green Spaces (in Buildings)

Target Target

TargetTarget Target

Target



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Energy & Built Environment - Roadshows and Facility Tours

University Campus Infrastructure in collaboration with Department of Industrial Systems Engineering and Management7

• Water-rationing by students and staff of Ridge View Residential College

• Singapore World Water Day 2018

Water Waste Management - Outreach Programmes


Operations Research and Education

Student Groups Partnerships

Sustainable NUS Showcase

Smart and Sustainable Campus€¦ · Smart and Sustainable Campus. Smart Urban Solutions. Smart...

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Transcript of Smart and Sustainable Campus€¦ · Smart and Sustainable Campus. Smart Urban Solutions. Smart...