Post on 16-Oct-2021
Components of an Intelligent Campus
Gerry Hamilton – Stanford University, Director Facilities Energy ManagementSanjyot Bhusari – Affiliated Engineers, Intelligent Buildings Practice Leader
Agenda
■ Defining an Intelligent Campus■ Components of an Intelligent Campus
■Building Controls■ IT network infrastructure■Analytical Applications■Data Management
■ Q&A
What is an Intelligent Campus?
■ Big Data■ Systems Integration / Automation ■ Machine Learning■ Artificial Intelligence■ Fault Detection and Diagnostics ■ Interoperable / Open Systems■ Coding / Software / Adv. Programming ■ Cloud based processing
Some define Intelligent Campus as Technology
Facility Operations Paradox
Artificial Intelligence Based on Uncalibrated Sensors
Broader vision for Intelligent Campus
People
SystemsTechnology
Smart Campus Vision
Smart Campus
• Demonstrate Stanford’s leadership with the “Internet of Things” and “Big Data” by adopting practical and cost effective technologies and practices
Engaged Stakeholders
• Provide user friendly and intuitive access to data and knowledge
• Empower faculty, staff, and students to achieve unprecedented success
Increased Value for Stanford
• Energy cost savings• O&M cost savings• IT security• Faster project Cx and turnover• Improved quality of operations
Intelligent Campus Components
•Develop & maintain business use cases and then right-size the deployment of analytic applications. Maintain solution flexibility and don’t over-buy.
•Develop & maintain business use cases and then right-size the deployment of analytic applications. Maintain solution flexibility and don’t over-buy.
•Maintain master plan to “own” data aggregation, storage, and sharing strategy for current and future analytics & reporting applications.
•Maintain master plan to “own” data aggregation, storage, and sharing strategy for current and future analytics & reporting applications.
•Modern Building Control Systems require secure, reliable, and scalable communication networks. Leveraging UIT infrastructure and services is key to scaling up to a “smart” campus.
•Modern Building Control Systems require secure, reliable, and scalable communication networks. Leveraging UIT infrastructure and services is key to scaling up to a “smart” campus.
•These operate building systems like HVAC and Lighting, and also provide the foundational data for advanced analytics
•These operate building systems like HVAC and Lighting, and also provide the foundational data for advanced analytics
Building Controls
IT Network Infrastructure
Data Management
Analytics Applications
TECHNICAL
ORGANIZATIONAL
Stanford’s Integrated Controls & Analytics Project
Building Controls
IT Network Infrastructure
Analytics Applications
Data Management
iCAP
Benefits of Integrated Controls & Analytics
iCAP - Benefits
■ Key drivers■ Energy cost savings
■From advanced control sequences■From new analytics applications
■O&M cost savings■ IT network security, reliability, and scalability■ Faster, higher quality commissioning■ Improve customer satisfaction
Controls Optimization Business Case
Controls Optimization Business Case
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Feb 5th - May 4th, 2016 May 5th - Aug 5th, 2016 Aug 4th - Nov 3rd, 2016
ALARM REDUCTION RESULTS
Total Alarms Total Top 50 Alarms Discharge Air Temperature Alarms Room Pressure Alarms % of Total
Controls Optimization Business Case
University of Wisconsin - Health
Can your existing BAS be optimized?
■ Trends■ Reports■ Alarms Optimized ■ Key Performance Indicators Based Graphics■ Training
IT Networks
Challenges
■ Integrate control systems■ Normalize and centralize data■ Analytics apps and user interface strategy■ Communications network standardization and
support strategy■ User authentication
Current Building Controls Architecture
Step 1 – Connect Building Level Controllers
Step 2 – Clean Up Physical Network
Towards an Enterprise Architecture
Systems Integration
■ Facility Business Process Optimization■ Business Systems and Building Systems■ Central Data Repository for Multiple Data
Users
Process Optimization
Before
Systems Integration
Process Optimization
Before After
Data Management
iCAP Framework
Data Deluge
CMMS(Work Orders)
Irrigation Control
BIM &
CAD
Capital Projects
(Construction)
Access Control
BAS(HVAC)
Surveillance Systems
Sub Meterin
g
Space & Move Management
Condition Assessment
s
Fire Alarm Systems
GIS
Parking Systems
Financial Systems
HR Systems
Student Systems
IT Security Systems
Facilities Software
Lighting Control
Digital Signage
Analytics & FDD (New)
Institutional Software
Data Warehouse
(New)
SCADA
Enterprise Reporting
(New)
Documents/Drawings
Graphic Courtesy Florida International University
Data Management Plan
Are you asking the right questions when looking at your data?
Q. Are you using the data to drive operational decisions?
Q. Can the data help predict future problems?
Q. Is anyone looking at all the data?
Q. Is the data any good?
Q. Can the data be exchanged between various systems?
Analytics Applications
iCAP – Analytics
Energy Use Monitoring &
Reporting Fault Detection & Diagnostics
Predictive Maintenance
Performance Optimization
■ The continuum of solutions
Analytics – Stanford’s Starting Point
■ Utilities trending & dashboards
■ Central Plant optimization tool
Building Data Analytics – The Future
FY27
FY20
FY18
Are you ready for Analytics?
■ When you have a Data Driven Culture in place
■ After you develop a data master plan and identify your needs.
■ After you do full inventory of all the features of your existing software and determine if your current software does not provide the capability
Organizational Details
Group Scope Participants
Building Controls
-Build on prioritization and planning work already initiated by Zones & FEM.-Affirm building priorities, master schedule, and budget.-Research and vet new controls and MSI partners.-Implement upgrade projects
Chair – Frank Durso (A.D. FESO)Zones - George, Rami, EdmundFEM - Marc E., Leslie K., Tim T., Mark H.Fac Ops - Bob F, Marc C, A Tran
IT Network-Build on current FACnet follow-up items.-Affirm master building controls architecture, including what type of hardware and its respective placement in the hierarchy.-Ensure scalability for ease of implementing & maintaining future systems
Chair - Tim CollierFEM - Daniel Chu, Mark HamiltonLBRE IT – Arne D.UIT - Alvin C., Rich B., Erich S.DPM – Marshall Wheel
Database & User Interface
-Research needs and optimum solution for central database to support current and future analytics and reporting needs.-Coordinate closely with UMBRS project. Address how the broad group of campus stakeholders will access the data and analytics applications through a standardized user interface.
Chair - Katya SadovskyFEM - Daniel Chu, Mark HamiltonLBRE IT - Arne, SwatiSEM Bus. Sys. - Akhtar
Building Analytics Requirements
-Build on IB’s recommendations, LBRE’s prior FDD pilot project, and the UMBRS project to document a master list of functional requirements and priorities.-Incorporate current Alarm management and Scheduling planning efforts.
Chair – Swati PrabhuZones - George, Rami, EdmundFEM - Marc E., Leslie K., Tim T., Mark H.Fac Ops - Bob F, Marc C, A TranSEM Bus. Sys. - Katya, Akhtar
iCAP – Working Groups
■ Steering Committee assign key responsibilities
Stanford’s FACnet Project – Identify Security Risks
■ HVAC controls (multiple)■ Toxic gas monitoring■ Lighting controls■ Elevators■ Building access■ Fire alarm■ Central Energy Facility Controls■ Water Utility Controls■ Fuel station monitoring■ Utility analytics system
■ Parking management■ Irrigation controls■ Surveillance Webcams (multiple)■ Digital signage■ Utility pipeline leak detection■ TRAKA key■ DNA Fusion■ Photovoltaic Generators■ Warehouse tool control■ Clocks
■ More coming…■ Outdoor lighting■ EV charging stations■ Window blind controls■ …
Layers of “IT” Support
Key Takeaways
■ An intelligent campus is more than just technology
■ Use incremental steps to build your intelligent campus
■ It takes a “village”
Q&A