Building Data Analytics Integrating building data with critical analytics and interfaces for a high performance built environment Azizan Aziz Assistant Research Professor Carnegie Mellon University Center for Building Performance and Diagnostics What are the steps? 1. Collect, structure and store monthly and real time data 2. Automate BAS and other monitoring and diagnostics 3. Make accessible to Corporate, Campus and City Executives (ID-C) 4. Make accessible to Facility Managers (ID-F) 5. Make accessible to Occupants for control (ID-O) 6. Make accessible to the Public (Disclosure) & Research Community Diverse Inputs + OSIsoft PI System + CMU Analytics + Microsoft BI 365/Azure ML + CMU User Interfaces Azure SaaS SQL 2012 Other Sources PI Cloud Connect End User Executive (Office Occupants) PI ProcessBook PC Asset Framework Server Building Attributes Power BI for Office 365 Energy Bill PI Interface iPad (Coresight Apps) PI Server Mobile Submetering Data BAS Siemens JC AL PI Coresight PI Coresight Web Server Custom WebSites CMU Dashboards MySQL Database Plugwise Source Web Server Individual Portfolio Manager ID-C Intelligent Data for Corporate and Campus Portfolio Managers With Monthly Electric, Gas and Water Bills Partners: PNC CMU Center for Building Performance & Diagnostics Managing a Building Portfolio • Energy Manager at a Pittsburgh Bank • Challenge: Monitor and analyze a portfolio of 4000+ buildings from Headquarters to Data Centers, down to ATMs. • With real-time utilities and building automation = 10 billion data points/year Unstructured Data Model Structured Data Model Commercial Partner : Pittsburgh Bank Query the Energy consumption breakdown of any building in 3 clicks Commercial Partner : Pittsburgh Bank ID-C Challenge : To monitor and analyze a portfolio of 4000 Assets (Headquarters, offices, datacenters, branches, ATMs) for strategic improvements Engaging Stakeholders in Building Energy and Water Reduction Kai-Wei Hsu & Ting Wang Engaging Stakeholders in Building Energy and Water Reduction Kai-Wei Hsu & Ting Wang Engaging Stakeholders in Building Energy and Water Reduction Kai-Wei Hsu & Ting Wang Monthly utility consumption: Lean Analysis 0 ID-F Intelligent Data for Facility Managers With Real Time Building Automation Data and Electric, Gas and Water Consumption Partners: OSIsoft, DOE, DOD CMU Center for Building Performance & Diagnostics Building 101 Public Web-interface http://128.118.67.245:85/eebhub/index.php Electricity Consumption Trends by End Use and Summaries Gas Consumption Trends by End Use and Summaries Real-Time IEQ Status Energy Map (8760 hours/1 Year) Facility Manager Space and System Read-outs More than 20 Universities can access and share real time building information Two data plots, osisoft data base ID-F Two data plots, osisoft data base ID-F Online webpage and iPad interface iPhone interface PI Coresight iPad and iPhone interfaces for real-time and trended data for Facility Management field work Carnegie Mellon University Pittsburgh Pennsylvania Founded in 1900 by Andrew Carnegie 12,991 Students (6,223 undergraduate) CMU annual energy budget over $20M That’s over $1,600 per year per student! Goal: CMU to be a leading university in sustainability About 6,500,000 sqft 65 + Buildings 80,000 data points 22 Temperature and Energy Prediction 1. Collect Data Real-Time 2. Train Model 3. Predict temperature and energy at different time intervals (up to 48h) 4. Detect potential energy savings • Over-Cooling/Heating • Space conditioned without occupancy 5. Corrective Actions: • Adjust Control Logics • Turn Off systems OSIsoft PI Coresight 23 Thank You Azizan Aziz [[email protected]] Project Funded by Department of Energy [CBEI] Department of Defense [ESTCP] Demo • 128.2.109.227/Coresight • 128.118.67.245:85/eebhub