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Provisional Protocol and Research Plan: Non-Residential Lighting Retrofits
Regional Technical ForumDecember 16, 2014
Seems fine to me. (Baker)
I like it. (Baylon) I really don’t
think this is all that bad. (Douglass)
I think they incorporated
my comments. (Tingleff)
The Measure
Non-Residential Lighting Retrofits• Lots of different building types and space-uses within
buildings• Lots of different lighting technologies and control strategies• Measures include lamp/fixture changes as well as controls
– Example 1: Covert T8 LED in an open office space – Example 2: Covert T8 LED and install motion sensors in an
open office space• Protocol must account for savings due to both
lamps/fixtures/ballasts and controls.
2 – Introduction
Key Terms (1)Hours of Use (HOU) for a lighting system • Burn time, full-power-equivalent hours (3 hours at 50% power is 1.5
HOU)• The thing we wish we could always know• HOU is measured with loggers and meters during research phase
Hours of Operation (HOO) for a space• Time spanned by period(s) that typically include activity in the space• Easy to collect, often equals business hours, plus time for cleaning, etc. • HOO is gathered through site interviews
HOU/HOO Ratio • Parameter for the mean, or typical value, of the ratio HOU/HOO• Estimated through provisional research • Values differ by control type (and probably space type)
3 – Introduction
Key Terms (2)Lighting System• Set of fixtures associated with a single control type and a single
space or space type• Multiple fixtures in a space may be considered a single system if they share
a single control type (e.g., multiple occupancy sensors in open office can be one system)
Pre-Existing System: What was there before the project
Efficient-Case System: What was there after the project
Baseline System: What savings is relative to • If Pre-Existing system includes obsolete equipment, then Baseline
substitutes current-practice efficiency levels in place of the obsolete equipment.
• Otherwise, the Baseline system is the same as the Pre-Existing System
4 – Introduction
Outline for today
• Simplified Method• Provisional Research• Highlighted Areas• Decision
5 – Introduction
Simplified Method
6 – Simplified Method
HOO Interview: Structure6 – Simplified Method
• Interview guide asks for Hours of Operation separately for each space in a project…– Space 1: Open office on 4th floor,– Space 2: Private offices in Suite 400,– Space 3: Hallways
• Enter number of hours for each day of week • Can enter more than one weekly schedule to
capture seasonality
HOO Interview: Content8 – Simplified Method
• Hours of Operation is…– About space usage, not lighting behavior– Coarse, asks questions that are easy to answer– Just a rough correlate to lighting system burn time
• Interview guide includes instructions and examples.
Data Requirements
• For each affected space:– Hours of Operation (based on interview of building
representative)– HVAC type
• For each lighting system:– Space served by the system– Lamp, fixture, ballast, and control data
• Types and counts • Complete descriptions for both pre-existing and efficient-
case systems
9 – Simplified Method
Calculation steps
1. Determine baseline system
2. Do separately for baseline and efficient-case systems:A. Calculate full-load power (kW) using nominal lamp wattage
and appropriate ballast factors B. Look up HOU/HOO Ratio (based on XYZ control type and
space type) and estimate HOU as HOO*RXYZ C. Estimate annual energy as HOU*Power*HVAC_IF
3. Subtract baseline annual energy from efficient-case annual energy to get savings.
The Calculator does all this for you.
10 – Simplified Method
Calculation ExampleChange open office lighting controls from manual on/off switch to photocell dimmer• HOO: Suppose interview says annual HOO is 3000 hours
for this space;• HOU/HOO Ratios: Table (next slide) provides the ratio
values, RMANUAL = 0.9 and RPHOTO = 0.70;• (Full-load) Power: Suppose kWBase = 1.5 and kWEff = 0.4.
11 – Simplified Method
Space Space type HOO Control
TypeHOU/HOO
Ratio HOU Power (kW)
Energy (kWh)
Baseline 3rd Floor open office
Open office 3,000 Manual
(local) 0.90 2,700 1.5 4,050
Efficient 3rd Floor open office
Open office 3,000 Daylight
sensor 0.70 2,100 0.4 840
Savings (ignoring HVAC IF): 3,210
Simplified method: Savings12 – Simplified Method
Lighting Control Type ProvisionalHOO Ratio
AnticipatedSpace-Use Types
Timer or Non-Local Manual Switch
100% Any
Local Manual Switch 90% Any
Daylight Sensor withoutOccupancy Sensor
100% Parking garage, Exterior
70% Classroom, Open Office, OtherOccupancy Sensor withoutDaylight Sensor (On/Off)
70% Private Office, Classroom, Warehouse Aisle, Parking/Exterior, Other
Occupancy Sensor withoutDaylight Sensor (Bi-Level)
65% Stairwells, Hallways
70% Other
Occupancy Sensor with Daylight Sensor (On/Off)
70% Classroom, Parking Garage/Exterior,Warehouse Aisle Lighting, Other
Occupancy Sensor with Daylight Sensor (Dimming)
70% Classroom, Parking Garage/Exterior,Warehouse Aisle Lighting, Other
Limitations: Right-on-average• Objective is savings estimates that are right-
on-average across lots of different projects.• Fixed HOU/HOO Ratios mean savings may be
very wrong for individual projects. • Custom evaluations (not using the protocol)
may be preferred for some large projects.
Note: These are limitations of the simplified method itself, assuming we can get our hands on good HOU/HOO Ratio estimates. Provisional research limitations are on a separate slide.
13 – Simplified Method
14
Loose end: Systems with EMS?
Earlier subcommittee recommendation on systems with energy management systems (EMS): The skill set required for collecting data from these controls is special (different what’s needed in the remainder of the plan); advanced lighting controls should be addressed through their own protocol at a later date.
Josh’s mix-up: Before I reviewed the old subcommittee recommendations, I altered eligibility to include EMS controls in cases where the EMS mimics functionality of one of the other control types included in the protocol. (Objections?)
15 – Simplified Method
It slices, it dices! (data)
New and improved!
Provisional Research
16 – Provisional Research
Objective: HOU/HOO Ratios
HOU/HOO Ratio is parameter for average ratio of meter-based HOU to interview-based HOO• Simplified method uses HOU/HOO Ratio to
estimate HOU based on HOO• Provisional research objective is to estimate
HOO Ratio values– Values differ by control type and space type– Research different scenarios
17 – Provisional Research
Objective: HOU/HOO Ratios
Basic research question: How does Actual HOU (burn time) relate to interview-based Hours of Operation?
• For systems without changes to controls, savings depends on a single HOU ratio:
∆kWh = ∆kW x HOO x RXYZ
• For systems with controls changes, savings depends on Delta between ratios:
∆HOU = HOO x (RBASE - RXYZ)
18 – Provisional Research
Approach
• For a sample of systems, collect:– Metered-based HOU data – Interview-based HOO data– Control type, space type, and building type
• Data analysis will estimate mean HOU/HOO Ratio values by control type… – And by space-type and/or building type (when
necessary and possible) – There are a few analytical options, some pretty obvious
(e.g., ratio estimator)
19 – Provisional Research
Phased research
Current research plan is only Phase I • Does not call for pre-/post- data• Sunset period (1-year) allows time to analyze data from
Phase I research currently in the field • Expect second research phase to include carefully
targeted pre-/post- data– Research questions (and sample targets) to depend on
phase-I results– Expectation of second phase stated in current research plan
but plan details not yet possible• Slides that follow mostly describe Phase I research
20 – Provisional Research
Phase I Research: Expectations
• Expect to get– HOU/HOO Ratios that are valid (proven-worthy) for
lots of scenarios where controls don’t change.– Clear understanding of further research needs and
reasonable research planning assumptions
• Don’t expect to get – Proven-worth values for cases where controls do
change (due to lack of pre-/post- data)– Proven-worthy values for every possible scenario
where controls don’t change (expect some strays).
21 – Provisional Research
Phase I Lighting System Sample Targets22 – Provisional Research
Lighting Control Type AnticipatedSpace-Use Types*
CV, HOU/HOO
Ratio
Precision at 90%
confidence
Sample target
(Systems)Timer or Non-Local Manual
Switch Any 0.25 10% 17
Local Manual Switch Other 0.75 10% 152
Daylight Sensor withoutOccupancy Sensor
Parking garage, Exterior 0.25 15% 8
Classroom, Open Office, Other 0.5 15% 30
Occupancy Sensor withoutDaylight Sensor (On/Off)
Private Office, Classroom, Warehouse Aisle,
Parking/Exterior, Other0.50 15% 30
Occupancy Sensor withoutDaylight Sensor (Bi-Level)
Stairwells, Hallways 0.75 25% 24
Other 0.50 15% 30
Occupancy Sensor with Daylight Sensor
Classroom, Parking, Garage / Exterior, Warehouse Aisle
Lighting, Other0.75 15% 68
Total: 359
Phase I Research Cost EstimatesTask Party Unit Description Unit
Cost#
UnitsTotal Cost
Training and Data Quality Coordination
Research Coordinator
Hours (40 hours each for 6 data providers)
$150 per hour
240 $36,000
Data Collection and Organization
Utilities / Lighting
evaluator
Research tasks for an individual site, assuming an average of three Lighting Systems per site:
• Recruit site (0.5 hr), • Confirm HOO Interview data for
selected systems (1 hr), • Collect and record spot
measurements (3 hr), • Install and remove meters (post-
only, 8 hr) • Format/organize data (2.5 hr)
$2,250 (15 hrs per site; $150 per hour)
120 $270,000
Organization, Analysis, and Reporting
RTF 32 hours per data set submitted (3 submissions)
$150 per hour
96 $14,400
Total: $320,400
23 – Provisional Research
Research Limitations
• Initial sample targets (and the disaggregation itself) are guesses– Need data about relationship between HOU and
HOO– Need to revisit when first data wave comes back
(BPA study results expected in 2015) • Again, Phase I is post-only so won’t get
proven-worthy HOU Deltas
24 – Provisional Research
25 – Provisional Research
Provisional research functions
too!
Decision
26 – Decision
Decision
“I _______ move to approve the Provisional Standard Protocol for Lighting Retrofits, the associated Research Plan, and the Protocol Calculator with a sunset date of December 31, 2015.”
At the end of the sunset period, we’ll use the first round of data to update what parameters we can, and we’ll develop a research plan for targeted pre-case metering and other outstanding questions.
27 – Decision
Additional Slides
28 – Additional slides
Simplified method: InterviewHours of “Operation.” In many cases, hours of operation equals business hours, plus time for cleaning and after-hours events. See examples for common exceptions.
• Example 1: Private office with a single major usage period (the occupant's workday), which is about 8 hours long– Suppose cleaning is negligible most days for the offices in this
example.– Then Hours of Operation is 8 for typical workdays.
• Example 2: Open office where early-birds start arriving around 7:15AM and late-bird linger until around 6:30PM.– Suppose cleaning takes 30 minutes each evening for the office in
this example. – Then Hours of Operation is 11.25 + 0.50 = 11.75 for typical
workdays.
29 – Additional slides
Simplified method: InterviewHours of “Operation.”• Question is about how the space is used, doesn’t
generally change pre-/post-.
• Doesn’t attempt to account for intermittent lights-out periods throughout the day. – Want to know one shift versus two shifts– Don’t want to know if people turn off lights for lunch
• Doesn’t seek to make the most of the owner or occupant's knowledge; sacrifices site-specific insight for data uniformity and simplification.
30 – Additional slides
Limitations: Granularity• May need to group some space/control
scenarios together – Example: “Gym or classroom or school library with
occupancy sensor and/or daylight sensor”– Calculate a single (weighted) HOU ratio for
aggregated scenario• May need to exclude some scenarios from the
protocol if we don’t get them in the sample and don’t want to group them with others.
31 – Additional slides
Calculator Updates• Structure and look of the calculator largely unchanged• Updated calculator with newly adopted Hours of
Operation (HOO) methodology, including new interview guide
• Pre-period logging/metering data no longer required; however, much of the pre-/post- structure remains for potential future needs
• Calculator automatically computes HOO ratios for controls savings research
• One outstanding item to be updated: working with BPA, SBW to make some minor updates to HVAC interaction table (to ensure consistency in region)
32 – Additional slides