Components of an Intelligent Campus

Transcription

1 Components of an Intelligent Campus Gerry Hamilton Stanford University, Director Facilities Energy Management Sanjyot Bhusari Affiliated Engineers, Intelligent Buildings Practice Leader

2 Agenda Defining an Intelligent Campus Components of an Intelligent Campus Building Controls IT network infrastructure Analytical Applications Data Management Q&A

3 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

4 Some define Intelligent Campus as Technology

5 Facility Operations Paradox Artificial Intelligence Based on Uncalibrated Sensors

6 Broader vision for Intelligent Campus People Technology Systems

7 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

8 Intelligent Campus Components These operate building systems like HVAC and Lighting, and also provide the foundational data for advanced analytics Building Controls IT Network Infrastructure 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. ORGANIZATIONAL Analytics Applications Data Management 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. TECHNICAL

9 Stanford s Integrated Controls & Analytics Project Building Controls IT Network Infrastructure icap Analytics Applications Data Management

10 Benefits of Integrated Controls & Analytics

11 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

12 Controls Optimization Business Case

13 Controls Optimization Business Case

14 Controls Optimization Business Case University of Wisconsin - Health ALARM REDUCTION RESULTS % 100% % % % % 70% 60% % % % % % 0 Feb 5th - May 4th, 2016 May 5th - Aug 5th, 2016 Aug 4th - Nov 3rd, 2016 Total Alarms Total Top 50 Alarms Discharge Air Temperature Alarms Room Pressure Alarms % of Total 0%

15 Can your existing BAS be optimized? Trends Reports Alarms Optimized Key Performance Indicators Based Graphics Training

16 IT Networks

17 Challenges Integrate control systems Normalize and centralize data Analytics apps and user interface strategy Communications network standardization and support strategy User authentication

18 Current Building Controls Architecture

19 Step 1 Connect Building Level Controllers

20 Step 2 Clean Up Physical Network Towards an Enterprise Architecture

21 Systems Integration Facility Business Process Optimization Business Systems and Building Systems Central Data Repository for Multiple Data Users

22 Process Optimization Before

23 Systems Integration

24 Process Optimization Before After

25 Data Management

26 icap Framework

27 Data Deluge IT Security Systems Space & Move Management Access Control CMMS (Work Orders) BAS (HVAC) Analytics & FDD (New) Digital Signage GIS Student Systems Capital Projects (Construction) Facilities Software Data Warehouse (New) Documents /Drawings SCADA Irrigation Control BIM & CAD Lighting Control Sub Meterin g Financial Systems Institutional Software Enterprise Reporting (New) Condition Assessment s Fire Alarm Systems Surveillance Systems Parking Systems HR Systems Graphic Courtesy Florida International University

28 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?

29 Analytics Applications

30 icap Analytics The continuum of solutions Energy Use Monitoring & Reporting Fault Detection & Diagnostics Predictive Maintenance Performance Optimization

31 Analytics Stanford s Starting Point Utilities trending & dashboards Central Plant optimization tool

32 Building Data Analytics The Future FY27 FY20 FY18

33 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

34 Organizational Details

35 icap Working Groups Steering Committee assign key responsibilities Group Scope Participants Building Controls IT Network Database & User Interface Building Analytics Requirements -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 -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 -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. -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 FrankDurso(A.D. FESO) Zones - George, Rami, Edmund FEM - Marc E., Leslie K., Tim T., Mark H. Fac Ops - Bob F, Marc C, A Tran Chair - Tim Collier FEM - Daniel Chu, Mark Hamilton LBRE IT Arne D. UIT - Alvin C., Rich B., Erich S. DPM Marshall Wheel Chair -Katya Sadovsky FEM - Daniel Chu, Mark Hamilton LBRE IT - Arne, Swati SEM Bus. Sys. -Akhtar Chair Swati Prabhu Zones - George, Rami, Edmund FEM - Marc E., Leslie K., Tim T., Mark H. Fac Ops - Bob F, Marc C, A Tran SEM Bus. Sys. -Katya, Akhtar

36 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

37 Layers of IT Support

38 Key Takeaways An intelligent campus is more than just technology Use incremental steps to build your intelligent campus It takes a village

39 Q&A