Leveraging Energy Management and Information Systems … · Leveraging Energy Management and Information Systems ... Distinguish different types of energy management and information

Leveraging Energy Management and Information Systems (EMIS) for MBCx

Hannah Kramer, PELawrence Berkeley National Lab Affiliate

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. Distinguish different types of energy management and information systems (EMIS) technologies

2. Share available data on the cost and benefits of using EMIS technologies with owners and facility managers

3. Implement the monitoring and verification capabilities within an EMIS

4. Use publically-available resources to streamline planning, installation, and use of EMIS systems in MBCx projects

Motivation to use EMISFeatures and Capabilities of EMISUsing Your EMIS for M&V and MBCxDOE’s Smart Energy Analytics CampaignQ&A

Agenda

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• Data is everywhere and getting cheaper• Need granular data to manage energy• Continuously monitor and automate analysis

Motivation to use Energy Management and Information Systems (EMIS)

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EMIS and Monitoring-based Cx (MBCx)

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MBCx Process: • Perform EBCx to meet owners operating requirements• Use a data-driven, automated approach to track and respond to

building performance issues resulting in a continuously commissioned facility

Meter-Level EMIS

Benchmarking and Monthly Utility Bill Analysis

Energy Information System

Advanced EIS

System-Level EMIS

Building Automation System

Fault Detection and Diagnostics

Automated System Optimization

Lots of data = high value?Which data? What kind of EMIS?How do I set it up?How often analyzed?What should I look for? Who has the time?What’s the cost-benefit?

Barriers to Using EMIS

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Unlock hidden savings potential with ongoing and automated data analysis – research shows significant energy savings using EIS

Use data analysis to stay on top of O&M issues before they become bigger problems

Keep tabs on savings so it persists - easier with the data, M&V and energy management process in place

3 Key Benefits from Implementing EMIS and MBCx

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Energy Management and Information Systems (EMIS)

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Meter-Level EMIS

Benchmarking and Monthly Utility Bill Analysis

Energy Information System

Advanced EIS

System-Level EMIS

Building Automation System

Fault Detection and Diagnostics

Automated System Optimization

The boundaries can be fuzzy; some tools cross categories, e.g., energy information systems with FDD capabilities

Fault Detection and Diagnostics (FDD) & Automated System Optimization (ASO)

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AHU, VAV terminal box, RTU, chiller,

existing BAS points

External sensors

Ethernet LAN

Web assess via browser

Expert rulesPhysical or statistical models

FDD tools

Proprietary optimization algorithms

HVAC, BAS control set-points

Ethernet LAN

Web assess via browser

HVAC, other BAS points

ASO tools

FDD – a tool to automatically identify HVAC system or equipment level faults, and sometimes root causes

ASO – a tool to dynamically change HVAC BAS settings to optimize energy use and/or comfort

Benefits• Automatically detects problems at the system

or equipment level with less analysis time• Prioritize faults based on fault frequency or

estimated fault cost

Energy savings potential• Correcting faults can decrease whole building

energy use by 2-11%

Cost-$$$• Labor to set-up & tune, potentially add

sensors/meters• High configuration costs to custom FDD rules

for non-standard HVAC system

Fault Detection and Diagnostics (FDD)

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Examples

BuildPulse Cimetrics CopperTreeAnalytics Enerliance EZENICS FacilityConneX Iconics KGS Buildings SCI Energy Sky Foundry Sky Spark

(TIAXLLC, , Energy impact of commercial building controls and performance diagnostics, (2005))

Meter-level Energy Information Systems

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Customer Energy

Dashboard

Engagement Tools

EIS Advanced EIS

Building Characteristics

Weather Data

Interval Meter Data

• Baseline model

• Track savings

Verify Savings

• Disaggregate end uses

• Identify measures

Load Analytics

• Flag high energy compared to predicted

Persistence

Track and Benchmark

Energy Information Systems (EIS)

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EIS, a bar graph tracking energy consumption pattern

Graphic Source: Lucid Design Group

Advanced EIS: Track Energy Savings

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Graphic Source: Cascade Energy

Median energy savings relative to EIS installation year• 17% for individual sites ($56k)• 8% for portfolios ($1.3M)

90% said they couldn’t achieve this savings without EIS

Correlation between 4 factors and highest % savings• Extent of efficiency projects undertaken • EUI prior to EIS installation• Depth of metering installed with EIS• Total years EIS installed

Range in cost among offerings• Median upfront cost: $1400/building; $0.01/sq ft; $230/pt• Median ongoing cost: $400/year per bldg; $0.01/sq ft; $200/pt

LBNL Study on Costs and Benefits of EIS1Granderson, J, Lin, G, Piette, MA. Energy information systems (EIS): Technology costs, benefits, and best practice uses. Lawrence Berkeley National Laboratory, November 2013. LBNL‐6476E

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LBNL EIS Research Results

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“Costs and Energy-Saving Benefits of EIS”, webinar Granderson, J., G. Lin. November 2013. http://eis.lbl.gov/pubs/costs-benefits-eis-11-2013.pdf

Benefits• Review load profiles on a regular basis• Track savings in real time, alarm when energy

exceeds expectations• Take weather and occupancy changes into

account

Energy savings potential• Median decrease in energy: 8-17%

Costs - $ to $$• 3rd party software (SaaS or installed on-site)• Service contractor (Software + service

package)

Energy Information Systems (EIS) and Advanced EIS

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Examples Buildling iQ Energent Energy ICT EnerNOC eSight Energy Gridium ICONICS Lucid BuildingOS MACH Energy Noveda Technologies Schneider Electric Switch Automation SENSEI

Resources for Selection of EMIShttps://smart-energy-analytics.org

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EMIS Specification and Procurement Support Materials, LBNL 2014• RFP template• Technology specification template• Evaluation and selection criteria template

Building Performance Tracking Handbook, CCC 2011• Business case, available tool types (i.e., benchmarking, EIS, FDD, and BAS),

common metrics, selecting an approach

Inventory of Commercial EMIS for M&V Applications, NEEA 2013 • Overview of 14 EMIS tools that estimate energy savings

EMIS vendor and service provider list on DOE Smart Energy Analytics Campaign website

Using EMIS for M&V

19Source: LBNL Energy Information Handbook, 2011

Guidelines:• IPMVP Option C• ASHRAE Guideline 14

Utility billing analysis• Rule of thumb: at least 10% whole building savings• 1 year baseline; 1 year post

Interval data analysis (hourly)• Can detect lower levels of savings • Typically 1 year baseline and at least 6 months post

Whole Building M&VGuidelines and Rules of Thumb

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Compared to billing analysis• Requires less time to verify savings• Improved accuracy

Compared to engineering calculations• Uses measured data to quantify savings• Allows for “find and fix” • Captures O&M and behavioral savings• Can reduce calculation and verification costs

Use ongoing M&V to track performance and increase persistence of savings

Why Whole Building M&V with interval data?

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Baselines automatically created

• interval meter data • weather data • sometimes other variables

User enters the date of implementation, savings automatically calculated

How do I know if the tool accurately predicts energy use?

Using EMIS for Automated M&V

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Developed a testing procedure to quantify baseline model uncertainty

Tested interval baseline models from industry, EMIS vendors, and academic communities

• 4 open, 6 proprietary models• Tested using interval data from over 400 buildings• 12 month, 9 month, 6 month, 3 month training periods

Mix of approaches but all models included independent variables:

• time of day• day of week• outside air temperature

LBNL M&V 2.0 Research

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Results: Percent Error (NMBE)

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−25.0

−22.5

−20.0

−17.5

−15.0

−12.5

−10.0

−7.5

−5.0

−2.5

0.0

2.5

5.0

7.5

10.0

12.5

15.0

M1 M2 M3 M4 M5 M6 M7 M8 M9 M10model

NMBE (N=441) 12 month training

−25.0

−22.5

−20.0

−17.5

−15.0

−12.5

−10.0

−7.5

−5.0

−2.5

0.0

2.5

5.0

7.5

10.0

12.5

15.0

M1 M2 M3 M4 M5 M6 M7 M8 M9 M10model

NM

BE (%

)

NMBE (N=470) 9 month training

−25.0

−22.5

−20.0

−17.5

−15.0

−12.5

−10.0

−7.5

−5.0

−2.5

0.0

2.5

5.0

7.5

10.0

12.5

15.0

M1 M2 M3 M4 M5 M6 M7 M8 M9 M10model

NMBE (N=530) 6 month training

−25.0

−22.5

−20.0

−17.5

−15.0

−12.5

−10.0

−7.5

−5.0

−2.5

0.0

2.5

5.0

7.5

10.0

12.5

15.0

M1 M2 M3 M4 M5 M6 M7 M8 M9 M10model

NM

BE (%

)

NMBE (N=537) 3 month training

90th  %ile

75th  %ile

Mean 

25th  %ile

10th  %ile

Differences between models are mostly small

Across the group of models, for 12-month training 12-mo prediction

Average median percent error ~-1.2%Range of median errors is ~-3% to 0.4%

Errors in predicting energy use are low for many buildings and many models (open and proprietary)

This is the performance from the fully automated case, with no ‘non-routine’ adjustments from an engineer

What Do These Results Tell Us?

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Using EMIS for MBCx

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Developing a Performance Monitoring Approach

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Set organizational goals

Establish roles & responsibilities

Understand existing systems, data, staff expertise

Define monitoring &    analysis activities

Identify required sensing, metering

Select a tool(s)

See Primer on Organizational Use of EMIS for more information :

http://betterbuildingssolutioncenter.energy.gov/sites/default/files/attachments/A_Primer_on_Organizational_Use_of_EMIS_V1.1.pdf

Demonstrate success Start small using existing data streams or whole building data

Help get value out of EMIS Support development of action plans using the EMIS analysis

Review cost-benefit information Show how others are utilizing EMIS to their benefitTrack energy savings using EMIS

What can Cx providers do to help building owners become more accepting of EMIS systems?

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Announcing a new DOE Campaign to support and recognize EMIS and MBCx across the country

Join us as a Supporting Partner or a Participant

Visit https://smart-energy-analytics.org

Goal: Facilitate adoption of analytics software and ongoing monitoring to help owners and managers find and fix building performance issues

Participants that pledge to implement EMIS to save energy will receive technical assistance and recognition

Areas of technical assistance for participants:How to justify EMISHow to set up, configureHow to make best use of data

DOE Smart Energy Analytics Campaign

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Develop an MBCx plan and implement an ongoing MBCx process

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Minimum RequirementsEMIS installations may be new, existing, or enhanced and include one of the following:

Any energy management process is eligible(RCx, MBCx, SEM, Ongoing Cx, etc.)

EIS with submetering of major end uses and embedded M&V

FDD or ASO software with BAS data for all HVAC systems

Use an EMIS to analyze data and identify energy‐saving opportunities

Implement at least one of these energy‐savings opportunities during Campaign

EIS with whole building hourly meter data

OR

FDD or ASO software with BAS data stream for one system (e.g. chilled water)

Best PracticeAchieve minimum requirements

AND

Participant Campaign Pledge

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PLED

GE

SHARE:Pledge to:1) Install EMIS or use existing EMIS2) Analyze energy use3) Implement measures

ACTIONS

SHARE:1) Measures implemented2) EMIS and Process implemented3) Annual energy use

AWAR

DS

SHARE:1) Actions2) Energy savings 3) Costs

Participant Process

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Category of Award DescriptionBest Practice EIS Award Site or portfolio with exemplary practices in implementing EIS with their 

energy management program.   

Best Practice FDD Award Site or portfolio with exemplary practices in implementing FDD or ASO with their energy management program.   

Largest Portfolio Award The portfolio with the largest floor area with completed energy‐saving actions

Innovation Award The site or portfolio that adopts EMIS or MBCx in a novel way. This could be a new business process, energy management process, or other innovations. 

New Installation Award The site or portfolio with the largest floor area completing a new EMIS installation 

MBCx Provider of the Year Award

Commissioning provider or other service provider that supports the most facilities in participating in the campaign

Energy Savings Award Highest percentage energy savings site and portfolio participating in the Campaign, as measured through whole building M&V with interval data

Awards

Join as a Participant

• Owners, facility managers, energy managers, operators

Join as a Supporting Partner

• Cx providers, service providers, trade organizations, utilities, EMIS and metering vendors

https://smart-energy-analytics.org

DOE Smart Energy Analytics Campaign

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Hannah Kramer, P.E.Smart Energy Analytics Campaign LeadLawrence Berkeley National Laboratory

[email protected]