monitoring-based commissioning: a case study in higher ...€¦ · monitoring-based commissioning:...

Monitoring-Based Commissioning: A Case Study in Higher Education

Janelle H. Griffin, PE, CCP, LEED AP

AIA Quality Assurance

The Building Commissioning Association is a Registered Provider with The American Institute of Architects Continuing Education Systems (AIA/CES). Credit(s) earned on completion of this program will be reported to AIA/CES for AIA members. Certificates of the Completion for both AIA members and non-AIA members are available upon request.

This program is registered with AIA/CES for continuing professional education. As such, it does not include content that may be deemed or construed to be an approval or endorsement by the AIA of any material of construction or any method or manner of handling, using, distributing, or dealing in any material or product.

Questions related to specific materials, methods, and services will be addressed at the conclusion of this presentation.

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Learning Objectives

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1. Describe one approach to integrating a monitoring-based platform to the BAS and meters within a secure IT network

2. Identify the potential of applying rules-based analytics and filtered feedback on building performance to harness the power of ‘big data’ in their existing systems

3. Understand the MBCx process in an integrated model where the MBCx provider guides the owner in a results-oriented process

4. Understand how an ongoing MBCx platform can augment their maintenance program

Benefits:1. Reduce Total Cost of Ownership (energy and maintenance)2. Improve Building Performance 3. Provide Feedback Mechanisms for Energy Managers (RCx,

ESPC, MBCx)

Monitoring-Based Commissioning

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An extension to a facilities BAS designed to collect and analyze equipment and environmental data to provide notification and operational recommendations resulting in a continuously commissioned facility

• Data Availability: Meters, DDC vs. Pneumatic, Trends & Trending Capability, Integration Requirements

• Opportunities for Improvement: EUI, Maintenance Cost

• Enhanced M&V: Previous RCx, ESPC

What Makes a Good Candidate for MBCx?

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1. Undergraduate Science Laboratory Building• Analog Phoenix lab terminal unit controllers • Niagara R2 • 71,000 SF, Constructed 2004• 503 kBTU/SF

2. Research Lab and Teaching • All DDC • Niagara R2• 45,000 SF, Constructed 2007• 435 kBTU/SF

3. Plant Sciences • 42,000 SF, Complete HVAC Renovation 2014• JCI Metasys• Process Loads on Building CHW Loop; standalone controls• 683 kBTU/SF

Case Study: Candidate Buildings

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Step 1: Transfer of Building Data

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1.

Architecture

8Building

DataAnalyze &

NotifyO&M Action Reinvest

ROI Savings

1

Analytics Apps

Time Series

DatabaseProduction data

BAS data

Weather data

Utility data

Facility data

1. Collect Building Information and Documentation 2. Verify Data Availability and Quality

a. Meters – integration capabilities and current setup

b. BAS data – production system vs. trend archive

c. Existing Trends vs. Creation of New Trends

d. Investigate as Required – programming, functional testing

Transfer of Building DataAssess Existing Building Data Sources and Capabilities

9Building

DataAnalyze &


ROI Savings

1

Transfer of Building Data

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$• Web Services• Open Protocols• RDBMS • Automated Export

$• Web Services• Open Protocols• RDBMS • Automated Export

$$• Proprietary Drivers• Integration –

Existing Hardware

$$• Proprietary Drivers• Integration –

Existing Hardware

$$$• Full Integration,

New Hardware

$$$• Full Integration,

New Hardware

Building Data

Analyze & Notify

O&M Action Reinvest ROI Savings

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1. oBIX driver at R2 Jace…licensed but trends setup at server2. oBIX driver at R2 Server…not licensed for oBIX3. SQL archive database … locally copy historical trend database

Final Method: SQL database • Replication • Copy, Transfer, Import

• Scripts query for data from desired buildings • Zip, transfer (through VPN), import manual process

every 1-2 days

Transfer of Building DataBAS Data from Niagara R2 with SiteNet Server

11Building

DataAnalyze &


ROI Savings

1

1. BACnet to Existing AX or Dewberry SoftJace … unacceptable data transfer over subnets (BBMD)

2. SQL archive database .. Locally copy historical trend database (> 100 GB)

3. Ongoing SQL database transfer• Understand the SQL database structure • Scripts query for desired points and time ranges (similar to

R2 process)

Transfer of Building Data BAS Data from JCI Metasys

12Building

DataAnalyze &


ROI Savings

1

1. Fully understand the Client’s System Architecture and Networka. Look under the hood

b. Do not make assumptions – architecture, licenses, etc.

2. Requires a multi-disciplinary approach: Controls, Networking, and Building Engineering

3. Plan multiple options for data transfer for any project

4. Allow ample time for investigation and trial and error

5. Respect the owner’s system limitations and preferences

Transfer of Building DataLessons Learned and Best Practices

13Building

DataAnalyze &


ROI Savings

1

Analysis and Notification

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2.

Similarities: • Apply engineering and systems knowledge to provide

recommendations for system operation Differences:

• Analytics applied to a richer data set• Analytics support on-going testing and verification; corollary

to repeating functional testing every day • Analytics are limited to recorded data points and granularity

available through integrated system

Analytics Supports Monitoring-Based CommissioningExisting Building Cx versus MBCx

15Building

DataAnalyze &


ROI Savings

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1. Controllability – AHU supply temperature, VAV airflow, CHW / HW plant temperature, hydronic / airside DP)

2. Sequencing – economizers, simultaneous heating and cooling, equipment following occupancy schedules

3. Equipment Failures or Malfunction – valve/damper leak-by, coil not receiving CHW/HW, fan/pump capacity, VAV cooling capacity, reheat capacity, sensor failures

4. System Overrides – fan/pump speed in hand, no temperature setbacks

5. Opportunities for Improvements – reduce unneeded runtime, supply air temp reset, static pressure reset, temperature/airflow setbacks, setpoints vs. design basis

Analytics Applied – Case Study

16Building

DataAnalyze &


ROI Savings

2

Analytics Example #1: Sequencing Disabled Economizer

17Building

DataAnalyze &


ROI Savings

2

CHW Valve 84%

OA Flow at Min Stpt, OA damper 26%

OA Temp 54.8°F

SAT 55°F

RAT 74°F

Program into Analytics: Outside Air Temperature < (Supply Air Temp Stpt - 5 )

AND Chilled Water Valve > 0%

Analytics Ex. #2: Equipment Failures or MalfunctionPreheat Valve Leak-by

18Building

DataAnalyze &


ROI Savings

2

Program into Analytics: Supply Air Temp > (Mixed Air Temp + 5 )

AND Preheat Valve = 0%

Analytics Ex. #3: Opportunities for ImprovementsDuct Static Pressure Reset

19Building

DataAnalyze &


ROI Savings

2

Program into Analytics: All VAV Damper Positions < 70% for 30 minutes

Results of Analytics to Notifications

20Building

DataAnalyze &


ROI Savings

2

Analytics: Tests for Conditions Engineer Review

&

• Level of Automation • Single person on owner side to ‘own’ the system• Notification Formats

• Equipment & List of Failures• Cx Provider Drafted recommendations • Issues Log, Ticket System, Interactivity • Integration into work order system

Notifications

21Building

DataAnalyze &


ROI Savings

2

• Analytics: program to be flexible, widely applicable across similar (but not identical) types of equipment

• Consistent data storage format project-haystack.org

• Plan for data gaps and anomalies – especially when reviewing large historical data set

• Prioritization of action items – avoid information overload • Understand how the owner will disseminate information and

recommendations

Analytics and NotificationsLessons Learned and Best Practices

22Building

DataAnalyze &


ROI Savings

2

O&M Action and Verification

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3.

• Prioritize: 80/20 rule• Simple changes (scheduling and removing overrides) should be first.• Focus on programming changes that can be easily replicated across

multiple pieces of equipment

• Scale of Implementation

• Communicate changes in the language of the action taker

• Follow up: Use analytics to verify functionality afterward and communicate back to the O&M team the visible “proof”

• Setup diagnostics to alert if issue arises again

O&M ActionLessons Learned and Best Practices

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2Building

DataAnalyze &


ROI Savings

3

Reinvest Savings

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4.

• Quantify savings for justification of the investment• Spend savings on proactive O&M using direction from MBCx

• Proactively replace frequently failing components identified through MBCx

• Invest if refined rules and analytics based on results of the first round of MBCx

• Adjust O&M program to work more interactively with MBCx

Reinvest Savings

26Building

DataAnalyze &


ROI Savings

4

Summary

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3 buildings 1600 points2 BAS Systems3 Meters

30 Analytics

55 Measures Identified 38 Measures Targeted for Implementation

Janelle H. Griffin, PE, CCPProject Manager

[email protected]

monitoring-based commissioning: a case study in higher ...€¦ · monitoring-based commissioning:...

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