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