Optimizing Laboratory Controls through Fault Detection and Diagnostics Software. Laura Dyas, PE, LEED AP O+M, CEM Bryce Buchanan, PE, CCP, CEM

Transcription

1 Optimizing Laboratory Controls through Fault Detection and Diagnostics Software Laura Dyas, PE, LEED AP O+M, CEM Bryce Buchanan, PE, CCP, CEM

2 Overview What are EIS & FDD Tools? Data Connection Methods Benefits & Drivers for Analytics Case Studies National Renewable Energy Laboratory Colorado School of Mines University of Colorado Anschutz Medical Campus Sandia National Laboratories

3 What are EIS & FDD Tools?

4 Building Analytics Tools

5 EIS vs. FDD Meters Cloud Based Analytics IT Routing BAS #1 BAS #2

6 Software Features Trend data viewer Fault identification Energy and Portfolio Analysis Reporting

7 Software Features Trend data viewer Space temp control issue

8 Software Features Software rules identify operational faults

9 Example Fault - Scheduling AHU operating 24/7 from 30%-50% fan speed

10 Software Features Automated M&V - Weather normalized baseline, calculate energy savings

11 Automated M&V Continued Software Features

12 Software Features Energy and Portfolio Analysis (KPIs)

13 Data Connection Methods

14 Setup and IT Pull Data SQL database Niagara AX & N4 IT sensitivities to consider Push Data Software Hardware Automated CSV files Remote Access Local license Access through VPN or clustering

15 Benefits & Drivers for Analytics

16 Applications for the Software NC or EB Commissioning Optimize Monitor & Track Measurement and Verification Verify Test & Repair Troubleshooting Train Document Certifications (LEED, Energy Star)

17 Benefits of RCx/Cx with FDD 100% of terminal equipment Monitoring over seasons Verification of changes

18 Additional Benefits 5-20% energy cost savings Raise Energy Star or LEED ratings Proactive Maintenance

19 Sensitive climate control Highly complex systems Lots of equipment High ventilation rates and pressurization requirements Large campus environments Why FDD in Labs?

20 Case Studies

21 National Renewable Energy Laboratory

22 NREL Campus Goals Energy Intelligent Campus *National Renewable Energy Laboratory, 2016 report Creating an Energy Intelligent Campus: Data Integration Challenges and Solutions at a Large Research Campus Connection Method Local FDD installation with BACnet connector, with remote access by Group14

23 Campus Overview Facility Energy System Integration Facility (ESIF) Field Testing Laboratory Building (FTLB) & Central Plant Research Support Facility (RSF) I & II Solar Energy Research Facility (SERF) Science and Technology Facility (S&TF) Space Use (15) laboratories, support offices, data center Laboratories and offices Square Footage 182, ,590 Office Space 362,055 (42) laboratories 115,000 3-story office and laboratory facility 71,347 Analyzing KPIs on metered energy use data for an additional 15 facilities 1.5 million square feet

24 Example AHU

25 Finding: Failed Heat Recovery 20 degree rise across heat recovery coil Anticipated Savings est. $6,100

26 MAU DAT Control MAU Tag SF-1 (CFL) SF-2 (WFL) SF-3 (EFL) MAU-6 MAU Tag OAT Enable Stpt >60 F >60 F >60 F EVAP CC HRC HC DAT Stpt 65 F Enable 62 F Disable 76 F Enable 74 F Disable 67 F Enable 64 F Disable OAT Enable Stpt N/A N/A N/A DAT Stpt N/A N/A N/A MAU-4 >55 F 67 F >55 F 67 F MAU-5 >DAT stpt 70 F >DAT stpt 70 F EVAP 57 F (lockout CC HRC HC 65 F occ, (VFD not meet 57 F in <Htg DATstpt 55 F day, OAT >67 F Enable when lab OAT >67 F Enable 70 F unocc OAT currently Enable ON HRC cool, DAT 60 F OAT Enable 2 F 50 F night DAT RH>50%) Stpt DAT Stpt DAT Stpt Stpt Stpt in Stpt cool) Stpt heat Stpt Recommended >67 F 57 F >67 F 67 F OAT Enable Stpt <60 F or >78 F <55 F or >78 F <60 F or >78 F Anticipated <55 F or >78 F Savings est. $6,500 <65 F or >75 F <60 or >75 <60 F or >75 F HRC DAT Stpt 60 F in Heating, Full flow in Cooling OAT Enable Stpt <HC DATstpt - 2 F DAT Stpt 65 F <56 F 70 F 60 F <63 F 65 F 65 F <56 F 65 F Min. 26 F lvg water in heating, 100% flow in cooling Fixed Flow (30 Hz) VFD varies to <50 F 67 F <Htg DATstpt 75 F 55 F

27 Savings Summary FTLB & Central Plant: $57,700 annual savings 9% of utility cost S&TF: $28,100 annual savings 11% of utility cost FTLB & Central Plant Electric Use and Demand $ 551,367 $ 28,292 5% Natural Gas $ 105,289 $ 29,418 28% Total $ 656,656 $ 57,710 9% S&TF Utility Baseline Cost Total Savings Total % Savings Electric Use and Demand $ 202,682 $ 16,138 8% Natural Gas $ 51,474 $ 11,974 23% Total $ 254,156 $ 28,112 11% More buildings to come = more savings

28 Colorado School of Mines

29 Lower cost commissioning option CSM Goals Test 100% of equipment and sensors Off-season testing Post-occupancy monitoring through warranty period

30 Coolbaugh Hall Approximately 110,000 SF, 3-stories Chemistry building with labs, offices and an auditorium Major controls upgrade in 2016 Connection Method Niagara AX System with Haystack Connector

31 Issues Log

32 AHU-5 & 6

33 DAT consistently above setpoint HW Valve Control

34 AHU-4 HW Pump Control HW valve at 0%, HW pump is on

35 University of Colorado Anschutz Medical Campus

36 UCD Central Plant HW Plant 6 boilers in parallel CHW Plant 9 chillers, manually staged Goals NOx emissions reporting Improved plant efficiency Connection Method Local FDD software install with BACnet connector

37 Central Plant Results

38 UCD Bioscience 2 110,000 SF, LEED Gold Critical research laboratories / clean rooms FDA requirements Goals LEED Enhanced Commissioning, eliminate sample rates Connection Method Data push via locally installed software to external FDD instance

39 UCD Bioscience 2 Results Life science research, critical clean room with tight room temperature control (<21 deg C, 70 deg F) High clean room space temp, high RTU discharge air temp

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41 Sandia Campus Goals Identify operational improvements Energy efficiency opportunities Continuous monitoring The continuous monitoring of operations using a software tool is a key strategy to meeting Sandia s energy reduction goals and improving operations.

42 Three phases over two years Project Overview 20 facilities totaling 825,000 square feet Labs, clean rooms, data centers, classrooms and offices Connection Method Push CSV files to external FDD software instance

43 Conclusions Why FDD? Better monitoring of complex systems and large campuses Addresses more equipment Helps identify improvements Results in energy savings

44 Questions? Laura Dyas, PE, LEED AP O+M, CEM (720) Bryce Buchanan, PE, CCP, CEM (720)