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Part 3: M

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Complying with the FEMP ( and IPMVP) guidelines requires: ... Abraxas Energy Consulting http://www.abraxasenergy.com/products.php. Optimum Energy Products Ltd ... – PowerPoint PPT presentation

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Title: Part 3: M


1
Part 3 MV Methods
  • Definition of Savings
  • MV Guidelines
  • Examples Applications

2
FEMP MV Guidelines
  • Derived from IPMVP
  • For federal energy projects
  • Step-by-step procedural guide
  • Defines MV methods by project type
  • Current version is 2.2 (2000)
  • Available at
  • http//www.eere.energy.gov/femp/financing/superesp
    cs_mvresources.cfm
  • http//ateam.lbl.gov/mv/
  • 1-800-DOE-EREC

3
FEMP MV Compliance
  • Complying with the FEMP ( and IPMVP) guidelines
    requires
  • Developing an MV plan using the defined methods
  • Following the MV plan
  • The important consideration is what is in the plan

4
FEMP ( IPMVP) MV Options
5
Options A and B vs. Options C and D
Options A and B are retrofit-isolation
methods Options C and D are whole-facility
methods The difference is where the boundary
lines are drawn
6
Option A
  • Simple approach (and low cost)
  • Performance parameters are measured (before and
    after), usage parameters may be estimated and
    then stipulated
  • Used where the potential to perform needs to be
    verified but accurate savings estimation is not
    necessary
  • Option A is NOT stipulated savings!

7
Stipulate
  • To stipulate is to agree to a term or condition
  • Under FEMP, to stipulate means to estimate
    without measurement
  • A stipulated value remains constant for the
    contract term regardless of how it may change
    over time

8
Appropriate Use of Stipulations
  • Parameter is well understood
  • Owner willing to accept risk
  • Owner has previous experience
  • Probable success of ECM
  • Small savings and/or small uncertainty
  • Greater MV costs not justified
  • Stipulations dont add too much uncertainty
  • Monitoring serves no other purpose

9
Inappropriate Use of Stipulations
  • Owner unwilling to assume risk
  • Parameters not known with reasonable certainty
  • Potential for technical problems
  • Monitoring provides valuable information
  • Stipulation significantly contributes to overall
    uncertainty

10
Sources of StipulationsAcceptable Unacceptable
  • Engineering analysis
  • Measurement-based models
  • Manufacturers data
  • Standard tables
  • TMY weather
  • ANSI/ARI/ASHRAE
  • Facility logs
  • Undocumented assumptions
  • Proprietary algorithms
  • Unsupported handshake agreements
  • Guesses at parameters
  • Models based on questionable data
  • Other buildings (w/ some exceptions)

11
Option A Applications
  • Projects where performance remains constant,
    usage can be readily characterized, and
    uncertainty is not a major issue
  • Lighting efficiency
  • Efficient motors
  • Rate changes
  • Operations Maintenance

12
Option B
  • Under Option B, some or all parameters are
    measured periodically or continuously
  • Applicable where accurate savings estimation is
    necessary and where long-term performance needs
    to be tracked
  • Reduced uncertainty, but requires more effort

13
Option B Applications
  • Projects with large elements of uncertainty
    and/or risk ()
  • Variable-speed drives on fans and pumps
  • Chillers and chiller plants
  • Energy management control systems
  • Projects where equipment needs constant attention

14
Option B Benefits
  • Reasons to use Option B instead of A
  • Real MV
  • Better equipment performance
  • Improved OM
  • Ongoing Commissioning
  • Remote monitoring

15
Option C
  • Option C looks at energy use and cost of entire
    facility, not at specific equipment
  • Conceptually simple, may be difficult in practice
  • Can consider weather, occupancy, etc.
  • Useful where total savings need to be valued but
    component savings do not
  • Commercial software is available that simplifies
    implementation

16
Option C Limitations
  • Does not verify at component level
  • Requires savings to be significant (gt 20 of
    baseline consumption)
  • Requires historical data (gt 1 year)
  • May take time to evaluate savings
  • Requires building meters (not campus)
  • May require baseline adjustment to account for
    non-project-related factors

17
Option C Applications
  • Projects where facility usage remains constant
    and historical data is present
  • Weather-dependent projects
  • Heating projects
  • Comprehensive and/or campus-wide projects
    (w/reservation)
  • Multiple interacting measures in a single building

18
Option C Programs
  • EnergyCAP, FASER (discontinued)
  • Good Steward Software http//www.goodstewardsoftwa
    re.com/
  • EEM Suite
  • Silicon Energy http//www.siliconenergy.com
  • EZ Sim
  • Stellar Process http//ezsim.com
  • Metrix, Utility Manager Pro 4.0
  • Abraxas Energy Consulting http//www.abraxasenergy
    .com/products.php
  • Optimum Energy Products Ltd
  • http//www.optimumenergy.com/software/

This list is not complete. Listing here does not
imply endorsement.
19
Option D
  • Option D treats building as computer model
  • Flexible, but requires significant effort
  • Applications
  • New construction
  • Energy management control systems
  • Building use changes
  • Building envelope modifications additions

20
Option D Limitations
  • Uses specialized software that requires
    significant experience to use
  • Results vary with effort (and ) expended
  • Requires measurements for calibration
  • Weather-related usage often stipulated
  • Still need to verify potential to perform
  • Annual inspections recommended

21
Option D Programs
  • DOE-2
  • J.J. Hirsch Associates http//www.doe2.com/
  • eQuest
  • Energy Design Resources http//www.doe2.com/
  • PowerDOE
  • J.J. Hirsch Associates http//www.doe2.com/
  • EnergyPlus
  • LBNL DOE http//gundog.lbl.gov
  • Visual DOE 4.0
  • Eley Associates http//www.archenergy.com/
  • Trace 700
  • Trane http//www.trane.com/commercial/software/tra
    ce/index.asp
  • Market Manager
  • Optimum Energy http//www.optimumenergy.com/

This list is not complete. Listing here does not
imply endorsement.
22
Example FEMP 2.2 MV Methods
  • Option A Lighting (LE-A-01/02)
  • Option B Variable-Speed Drive (VSD-B-01)
  • Option C Heating Plant
  • Option D New Construction

23
Example Lighting Project
  • Consider the following lighting project
  • Upgrade 5,000 fixtures in a typical office
  • MV Approach LE-A-01 or LE-A-02
  • LE Lighting Efficiency
  • A Option A
  • 01/02 Specific approach

24
Project Information
  • Performance
  • Baseline power consumption is 86 Watts
  • Proposed power consumption is 56 Watts
  • Difference is 30 Watts
  • Usage
  • Baseline New 3,000 hours/year
  • Financial
  • Energy 0.10/kWh

25
FEMP Methods LE-A-01 / 02
  • LE-A-01
  • Fixture powers are estimated (stipulated) based
    on table of standard fixture powers provided by
    local utility (or other source)
  • Operating hours estimated (stipulated)
  • LE-A-02
  • Fixture powers are measured on a sample of
    fixtures (measured)
  • Operating hours estimated (stipulated)

26
Estimated Lighting Savings
  • E Savings QTY (Before After) Hours
  • ES (5,000) (86 W - 56 W) (3,000 hours)
    (1 kW / 1000 W)
  • ES 450,000 kWh/year
  • Cost Savings (Unit Cost) (Energy Savings)
  • Cost Savings (450,000 kWh) (0.10/kWh)
  • Cost Savings 45,000/year

27
Example VSD Project
  • Consider the following project
  • Install a variable-speed drive on HVAC fan
  • Baseline Fan Operates continuously at a single
    speed and power no matter what the cooling load
    is
  • VSD Fan Speed andpower change with coolingload
    (outside temperature)
  • MV Approach VSD-B-01(Variable Speed Drive,
    Option B, Method 1)

28
Project Information
  • Performance
  • Baseline fan Constant power (140 kW)
  • VSD Fan Power changes w/ weather
  • Usage
  • Fan operates 24/7
  • Financial
  • Energy 0.10 / kWh

29
VSD-B-01 Monitor Fan Performance
30
Calculate Monthly Savings
E Savings S (kWBefore - kWAfter) (1
Hour) Cost Savings (Unit Cost) (Energy Savings)
31
Heating Project w/ Option C
  • Consider heating system upgrade at eastern US
    military base
  • Baseline Gas-fired boilers with central steam
    plant provide heat to buildings
  • New System Shut down steam plant, install gas
    furnaces in all buildings

32
Project Information
  • Performance
  • Baseline Low efficiency and steam loss
  • New High efficiency, no steam loss
  • Usage
  • Driven by weather
  • Financial
  • Gas is (was) 0.50 / therm

33
Compare Gas Use to Temperature
34
Develop Baseline Model
35
Calculate Monthly Savings
Baseline, therms 25.6 HDD - 1,378
Note Savings not adjusted to TMY weather
36
New Construction w/ Option D
  • Consider building currently in design phase
  • Proposed building incorporates energy-efficient
    design features selected and implemented by ESCO
  • Baseline building is existing design before ESCO
    modifications

37
Develop Computer Model...
38
...And Evaluate Results
39
Calculate Savings
  • Evaluate energy use for each scenario
  • Calculate savings for each scenario relative to
    base case

40
Validate Savings
  • Compare first-year energy use to post-retrofit
    model
  • Calibrate / Adjust model(s) to match building
  • or
  • Fix building!
  • Perform annual inspections

41
Calibrate Model
42
Review and Discussion
  • Total energy use and savings are a function of
    both usage and performance
  • Options A and B are retrofit-isolation methods
  • Options C and D are whole-facility methods
  • Can mix and match methods

43
Review Questions
  • What two factors determine energy savings?
  • How does one comply with the FEMP Guidelines?

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