Big Data & Analytics: the Next Frontier for Energy Management - Online Seminar
AEE Members receive $50 discount on this seminar. Use discount code "SEM50" during checkout. To become an AEE member Click Here.
NOTE: Seminar fees listed are per person for a single audio and video connection for individual use, and may not be shared with other users. All participants must individually pre-register for the desired course in order to participate. If you would like pricing information on multiple registrations for the same seminar, please contact: Terese Lavallee, phone 770-925-9633, email: email@example.com
Presented online in a series of four live two-hour time modules, this seminar is designed to show you how to effectively employ today's big data technology assets and analytics tools as a valuable means both to maximize energy savings and to ensure that planned energy projects will fulfill their targeted goals.
AIA Learning Units Eligible
This course has been approved by AIA for continuing education credits. The AIA requires that its registered architect members earn 18 Learning Unit (LU) hours of continuing education credit annually (eight hours of which must be related to Health, Safety, and Welfare topics and four of those eight in Sustainable Design) to remain in good standing. Architectural boards in 40 states, 10 Canadian Provinces, and 19 countries have implemented mandatory continuing education (MCE) for re-licensure.
The Association of Energy Engineers is an approved training provider within the American Institute of Architects (AIA) Continuing Education Systems (CES) Registered Provider program.
You can participate in the seminar from your office, home, or anywhere you have access to the internet and a phone or VOIP. You'll have opportunities to interact with your instructor and colleagues in realtime during the four live teleconferencing sessions, as well as in the time between sessions.
About the Seminar
This course earns 0.8 CEUs, 8 PDHs and 1.6 AEE Credits. toward Re-certification.
Big data is one of today's most exciting technology developments. In terms of its impact on the energy field, it has already begun the process of positively transforming the discipline of energy management.
Designed to bring energy professionals up to speed on the impact of big data and analytics as they apply to energy, this seminar will, first of all clarify and put into perspective the most impactful and exciting developments in the areas of foundation technologies such as building automation, web services and middleware, which are critical for success with analytics. Participants will then learn how leveraging these technologies with analytics can produce huge energy savings, and, equally importantly, can ensure that energy projects actually fulfill their expected results.
Building and facility professionals facing ever-increasing energy and operational costs, are sure to benefit from this thoroughly informative and detailed overview of these critical developments in energy management and engineering. The program will also be valuable for engineers, designers and managers trying to make sense of, and select from, the myriad of products, solutions and services now available. Interoperable building systems are an optimal source of data for analytics, and the materials covered in the seminar will provide valuable guidance on the techniques and approaches necessary to achieve this interoperability in buildings and campuses. Also addressed are important trends currently affecting building energy and analytics, such as Project Haystack and the Internet of Things.
You will leave this program with valuable and practical new and expanded knowledge which you can apply right away in your efforts to improve your energy management and cost reduction results.
The following offering(s) of the Big Data & Analytics: the Next Frontier for Energy Management Online Seminar are currently scheduled. The program consists of four two-hour teleconferencing sessions, for a total of 8 hours of instruction.
Beginning on June 4-7, 2018 , with session dates and times as follows:
Times (Eastern time US)
|Day 1|| |
2:00 - 4:00 pm
|Day 2|| |
2:00 - 4:00 pm
|Day 3|| |
2:00 - 4:00 pm
|Day 4|| |
2:00 - 4:00 pm
Completion of all 4 modules is required to receive CEU and PDH Credit, and Course Certificate awarded by AEE.
MODULE 1: 2 hours
Introduction: Big Data and Analytics
- Big Data Technology
- Introduction to Analytics Technology and Key applications
- Energy management
- Fault detection and diagnostics
- Compliances with standards (environmental, Joint Commission for Hospitals, etc.)
- Vendor management (HVAC service, facility management, etc.)
- Underlying Technologies and Standards Critical to Effective Analytics
- New Technologies Driving Use of Analytics: Clean Energy Plan Building Standards
Overview Energy Management and Electricity
- Smart Grid and Electricity Trends
- Energy Efficiency and Demand Response
- Energy Resiliency and Its Impact on Electricity and Natural Gas
- Microgrids and Current Status of Onsite Generation
- Enterprise Zones for Energy: Renewables, Energy Markets and Energy Management
- Policy and Legislation Driving Big Data such as Performance Standards
Energy Triple Threat
- Energy Markets and Consumption Patterns
- Utility Infrastructure and Customer Impacts
- Energy Technology Upgrades and Finance Impact
- USGBC and PEER (Performance Excellence in Electricity Renewal)
MODULE 2: 2 hours
Analytics and Dashboards
- Introduction to Visualization Technology Overview
- Introduction to Analytics and Approaches to Optimization
Dashboards and Visualization Tools
- Technology and Applications
- Simulation Tools
- Kiosks, Computer based Apps and Mobile Technologies
Analytics for Energy Management
- Energy Efficiency and Conservation: Baselines and Benchmarking
- Interval data vs. utility billing analysis
- Setting metrics and KPIs
- Data access and analysis process
- Targeted application evaluation and process evaluation
- Electricity Resiliency and Management in a "Triple Threat" World
- KPI's for effective electricity management, procurement and resilience
- Analytics for automated demand response and demand management
- Utilizing analytics for economic and reliability strategies to manage microgrids
- Integrating efficiency and distributed feneration using analytics
Analytics for Equipment Fault Detection & Diagnostics (FD&D)
- Preventative Maintenance
- Predictive Maintenance
- Interval Data vs. Utility Billing Analysis
MODULE 3: 2 hours
Intelligent Buildings and Big Data
- Building Technology Architecture
- System Analysis and Data Evaluation for Optimization
- Analytics Data Determination and Integration
- Understanding Data and Systems Architecture
Key Underlying Technologies
- Technologies: Multi-Tiered Building Automation, Meter Data Management, CMMS, other
- Information Technology and Computer Network
- BAS Market
- Legacy and Open/Standard Technology Evaluation
- BADDC Network Management, Equipment and Zone Systems
- Control / Automation Applications
- Active Energy and Analytics
Digital Communication for Building Technology
- Protocols and Data Networking
- Architecture and Data Communications
- Internet and Web Services
- Energy Analytics and Data Access
- Middleware Technology Definition and Market
- Legacy System and Visualization Interface
- Network Systems and Data Analytics
- BAS Architecture Integration
- Integrating Legacy Systems For Optimization and Data Access
- Energy Management, Sustainability and Analytics
MODULE 4: 2 hours
Analytics Tools, Internet of Things and Standards Driving the Future
- Optimization and Data Access via Multi-Disciplinary System Organization
- Data Standards and Next Generation Building and Campus Systems
Internet of Things
- Definition and Context
- Trends Driving the Internet of Things and Building Opportunities
- Internet of Everything Meeting Intranet Building Systems for Energy Management
- Energy and Analytics Best Practices
- Cloud Computing and Software as a Services for Energy Management
- BAS, Middleware and HVAC-Centric Solutions
- Dashboard and API Solutions
Analytics for Measurement and Verification
- IPMVP and M&V Science Meets Analytics
- Proactive and Predictive M&V
- M&V and 21st Century Electricity Markets and Management
- Microgrid Campus University
- Envision Charlotte
- Microsoft - 88 Acres
Your Realtime Program Instructors
TOM SHIRCLIFF is a co-founder and principal of Intelligent Buildings, LLC a nationally recognized smart real estate professional services company founded in 2004. Intelligent Buildings provides planning and implementation of next generation strategies for new buildings, communities and existing portfolios. Mr. Shircliff has served as a speaker and collaborator with numerous universities and national laboratories, as a gubernatorial appointee for energy strategy and planning, and as founding Chairman of Envision Charlotte, a Clinton Global Initiative. Previously he held management roles in the real estate and technology sectors with BellSouth/AT&T, Broadriver, Inc., and The Price Davis Company.
STEVE EVANS is a seasoned professional in the facilities automation, optimization and energy management domain. He has extensive experience in big data for real estate, and recently led the design and development of a facilities and energy management data platform which includes normalizing and storing disparate data from utility invoices, interval energy meters and facilities asset operational data. His experience also includes data tagging and analytics engines with displayed results in a customizable data visualization user interface.
ANDY SCHONBERGER has in depth knowledge of advanced real estate systems, strategies and marketplace technology trends. He has solutions development and real estate management expertise, and is an operations specialist. His professional background brings together an effective mix of Fortune 100 IT, real estate development, facility management and sustainability. Mr. Schonberger has extensive experience in development of complex real estate technology solutions, including execution at both the strategic and tactical levels.
Course Materials and Advance Preparations
The seminar fee covers registration all four program modules (total of 8 hours), seminar workbook (downloadable PDF format), course certificate, and webinar connection services. (Attendees participating from outside of North America should use VOIP in order to avoid additional audio fees.) Payment in full must be received prior to the start date of the seminar.
You will receive instructions, personal support, and a chance to test your webinar connection in advance of the first session.
Enrollment in this realtime online seminar will be limited to 40 participants to ensure that each student has ample opportunity for interaction with instructors and other participants.