Optimizing Buildings Using Analytics and Engineering Expertise

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1 Optimizing Buildings Using Analytics and Engineering Expertise Course Code: CEU244 CEU Value:.1 CEU April 2014

2 Learning Objectives Upon completion of this seminar you will be able to: Define the concept of fault detection and diagnostics (FDD) Identify the major market trends driving customer need for automated building analytics/performance based analytics solutions Name the outcomes and benefits of automated fault detection and diagnostics (afdd) Define how automated building analytics solutions work including the systems architectures and manage services that support it Schneider Electric Building Analytics Overview February

3 Learning Objectives Cont. Upon completion of this seminar you will be able to: Define how afdd can be leveraged for ongoing monitoring based commissioning programs Identify the functionality, reporting and results available based on a demonstration of a fault detection and diagnostics tool that is currently available Identify typical examples of FDD results based on 3 actual case studies Schneider Electric Building Analytics Overview February

4 Critical facility management drivers are impacting all industries Sustainability New technology Labour conditions Aging facilities Risk management Outsourcing 4

5 We asked customers about their needs Their feedback was very clear they need to: Reduce Costs Mitigate Risks Improve Asset Value Cost of Facility Operations Cost Utility Costs Probability Negative Event Revenue Maintenance Costs Time Impact Severity Time 5

6 Daily challenges Occupant comfort Complex building systems Shortage of personnel and operator training Minimal available budget Not all buildings and systems deliver on their capabilities Need for ROI-justified decision making Actionable information is required, not just lots of building data 6

7 Providing a holistic view Recommended Approach : Convergence Renewable energies Intelligent power & motor control HVAC control Innovative technology Integrated building management system Value-added local support Broad service portfolio Field Services Lighting control Energy monitoring & control Critical power & cooling Electrical distribution Access control Video surveillance Automated Fault Detection and Diagnostics Managed Services Recommendations to solve persistent costly inefficiencies proven results Interoperability to third-party systems Leverage a trusted advisor 7

8 Building Analytics defined A managed service that provides Prioritized asset optimization recommendations Expert guidance with actionable information Results that improve occupant comfort and building energy and financial well-being Based on statistical analysis, expert review, performance trending, and diagnostics Cloud Based Fault Detection & Diagnosis Remote Monitoring & Analysis Reporting & Maintenance Software Services 8

9 What can it find? Looks at individual equipment and whole systems to identify faults and opportunities for improvement Example of findings Simultaneous heating and cooling Manual overrides Excess reheating Trends in chiller efficiency Short cycling Leaking valves, broken dampers Opportunity for higher/lower loop setpoints Opportunity for static pressure reset Suboptimal economizer controls Poor occupancy scheduling Excessive zone temperature setpoints + Custom analytics 9

10 How does it work? Monitor, detect, diagnose, and identify energy savings opportunities 10

11 System architecture Existing On Premise Building Automation Systems Schneider Electric and other vendor offers 11

12 System architecture breakdown System integration level Multiple communication protocols Modbus LonWorks EcoStruxure Web Services OPC foundation obix BACnet Hardware level Direct Digital Controllers & Communicating Control Devices Vendor & System Agnostic 12

13 System architecture breakdown 13

14 Complements existing BMS Building Automation System Building Analytics Integrates building systems Reacts to current state conditions Performs control tasks as designed Provides notification of nonconformance or exceeding threshold settings Adds data analysis Identify recurring performance issues Provides ROI prioritization of issues Ongoing support from experienced building engineers Ideal for operations & maintenance Maintain day-to-day building operations Ideal for engineering planning Pinpoint top comfort, energy, and maintenance (C+E+M) priorities that can maximize O&M resources 14

15 Benefits Reduce major equipment energy spend by 15% to 30% Actionable intelligence Centralized expert support Measurable results Automated fault detection and diagnostics (afdd) prioritized and available anytime, anywhere Centralized system for continuous monitoring-based commissioning (MBCx) to improve and sustain optimal operations Information, not just data, coupled with visualization that delivers real-time results for fact-based ROI decision making 15

16 Demo

17 Custom reporting Know the WHY and its impact: Expert Opinion Avoidable costs and total savings for period, plus analyst commentary on building operating issues Trend Summary Cost/reduction plus C+E+M (comfort, energy, maintenance) trends Schneider Electric Building Analytics Overview February

18 Custom reporting Know the WHY and its impact: Top 5 Issues Prioritized C+E+M issues with cost or severity ratings Recommended Actions Hit list of clear recommendations Schneider Electric Building Analytics Overview February

19 Custom reporting Know the WHY and its impact: Performance Trend Trend analysis over time to track performance Schneider Electric Building Analytics Overview February

20 Summary of Building Analytics Reduces energy spend by 15% to 30% Automated fault detection and diagnostics Detailed reports and graphs Performance-based utility incentives Positive ROI in months Lowers carbon footprint Increases portfolio value Provides real impact on energy costs, operational efficiency, occupant comfort, and financial well-being of your buildings Schneider Electric Building Analytics Overview February

21 Customer snapshot : Municipality afdd for energy and cost savings Customer need Cost justify needed upgrade to building controls in 13 municipal buildings covering 903,000 f 2 Building Analytics scope Software will monitor 1,200 pieces of equipment and 12,000+ data points Results Conservative savings estimate based on experience and industry research showed savings from ongoing commissioning driven by Building Analytics to generate a positive return on the capital upgrades to the Building Automation System 21

22 Customer snapshot : Research laboratory Energy and cost savings Customer need Ability to diagnose and pin-point system faults to address installation issues. Building Analytics solution Identified and recommended repairs to several major problems in leaking and malfunctioning cooling valves in three AHUs, and leaking heating coil valves in nearly 200 VAV boxes. Prioritized actions enabled operations team to fix the most wasteful leaks first. Additional repair work accelerates retro-commissioning and automates verification of energy initiatives. Results 219,000 projected annual savings. Additionally, the customer maintains a digital history of the building performance. 22

23 Customer snapshot : Office building Take advantage of facility utility incentives Customer need Demonstrated M&V energy savings to justify a utility incentive program. Building Analytics solution Building management committed to six low-cost energy conservation measures (EMC) for pre- and post-emc monitoring. Diagnostics and reporting discovered efficiency opportunities. Other issues identified are corrected as they occur for additional savings. Results Projected annual savings: 46,000 57,420, PLUS between 17,600 33,700 in utility incentive program awards. Management is assured that the system maintenance achieves the desired objectives. 23

24 Customer snapshot : Small community center Commissioning rooftop units Customer need Ongoing commissioning on newly installed rooftop units. Building Analytics solution Data from five RTUs units were connected to the cloud-based system for monitoring and diagnostics. Analytic findings identified several maintenance issues, including all RTUs running continuously, simultaneous calls for heating and cooling, and shortcycling compressors. Specific and prioritized recommendations to fix these issues were made. Results Projected annual savings: 4,000 representing a 23% return on investment on commissioning activities. Building investments protected and tracked over the long term. 24

25 Customer snapshot : Large Utility Pilot program to lower energy demand Customer need Reduce overall demand by focusing on helping its customers reduce their demand. Building Analytics solution Using Building Analytics, Energy Profiler Online (EPO) and Resource Advisor, the solution will span multiple stages of the energy management life cycle for the selected pilot participants. Results from the reports will identify energy conservation measures that can be implemented to drive down usage. Results Projected annual savings$75,000 per company enrolled in the pilot program based on cost savings and incentives. Ability to provide measurement and verification for the reduction in demand. 25

26 Customer snapshot : Manufacturing facility Maintaining comfort while ensuring the operating efficiency Customer need Cut energy waste, deploy energy efficiency solutions, and raise employee awareness. Building Analytics solution Data from the building systems were connected to the cloud-based system for monitoring and diagnostics every 5 minutes. Sample findings: some compressors were short-cycling, causing premature compressor failure. And some units wasted energy due to set points that did not take building occupancy into consideration. Results Annual savings: $9,000 in avoidable energy costs related to HVAC ops. In addition, the number of maintenance incidents went down by 29 percent, and comfort incidents decreased by 33 percent. 26

27 Make the most of your energy

28 Appendix

29 Implementation process Gather Data Establish Remote Access* Map Points Load Engineering Data Configure Analytics Commission Analytics Fine Tune Results & Training Regular afdd & Reporting Services 1-2 days 1-2 weeks 2-6 weeks Ongoing Timeline (excludes BMS make-ready scope) *If remote access is available 29

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