Revised Attachment C-2 Technical Analysis Survey~1.pdf

Building Performance Standard TAS Template 2026.1.1

Technical Analysis Study

Oregon Department of Transportation (ODOT)

Building A 455 Airport Road SE, Salem, OR 97301

Project Number: CU_103623/P00001786423

Study sponsored by:

Energy Trust of Oregon - Existing Buildings Program

Submitted by:

Solarc Energy Group

Submitted on: April 29, 2026 ii | Building Performance Standard TAS Template 2026.1.1

Table of Contents

1 Key Contact Information

2 Project and Measure Summary

Energy Use and Savings Summary

Energy Efficiency Measure (EEM) Summary – Custom Track

Historical Energy Usage

CONSUMPTION GRAPH NARRATIVE

3 Facility & Equipment Description

4 Detailed EEM Description – Custom Track

EEM 1 – Controls Replacement

4.1.1 Existing Baseline Description

4.1.2 Modified Baseline Description

4.1.3 Proposed Measure Description

4.1.4 Savings Methodology

4.1.5 Estimated Cost

4.1.6 Non-Energy Benefits Estimates

4.1.7 Measure Life

4.1.8 Measure Summary Table

5 Calculation Methodology Description

Calculation Software

Energy Model Calibration

6 Post-Installation Verification Plan

PIV Summary

7 Next Steps for the Participant

Apply for Energy Trust Incentives for Recommended EEMs

7.1.1 Obtain bids for EEM(s) you wish to implement and Sign the Incentive Application

7.1.2 Notify PMC upon Installation of EEM(s) and Submit Completion Documentation

Determine BPS Compliance and/or Next Steps

7.2.1 Confirm BPS Compliance or lack thereof

7.2.2 Technical analysis study gaps relative to ashrae level 2 audit

8 Apply for Energy Trust Solar Incentives

9 Appendix A – EUL Reference

10 Appendix B – Greenhouse Gas Savings Factors

11 Appendix C – EEM-1 Documentation iii | Building Performance Standard TAS Template 2026.1.1

12 Appendix D – Data Logs

13 Appendix E – Site Photographs

Disclaimer

This energy analysis is funded by Energy Trust of Oregon to help the participant (customer) identify energy savings potential at their facility. TRC is the Program Management Contractor for the Existing Buildings Program. TRC will work with the Allied Technical Assistance Contractor (ATAC) to review the accuracy of this study. If the energy efficiency upgrades (measures) recommended in this report may be eligible for Energy Trust incentives and if the participant wishes to implement the eligible measures, TRC will support and provide guidance to the participant on

Energy Trust’s incentive application process and requirements throughout the life of the project.

The intent of this energy analysis is to estimate energy savings associated with the recommended energy efficiency upgrades. This report is not intended to serve as a detailed engineering design document. Any description of proposed improvements that may be diagrammatic in nature are for the purpose of documenting the basis of cost and savings estimates for potential energy efficiency measures only. Detailed design efforts may be required by the participant to implement measures recommended as part of this energy analysis. While the recommendations in this study have been reviewed for technical accuracy and are believed to be reasonably accurate, all findings listed are estimates only. Actual savings and incentives may vary based on final installed measures and costs, actual operating hours, energy rates and usage.

In no event will Energy Trust of Oregon, TRC or the ATAC be liable for (i) the inability of the participant to achieve the estimated energy savings or any other estimated benefits included herein, or (ii) for any damages to participant’s site, including but not limited to any incidental or consequential damages of any kind, in connection with this report or the installation of any identified energy efficiency measures.

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ABBREVIATIONS

AC Air Conditioner

AHU Air Handling Unit

AFUE Annual Fuel Utilization Efficiency

ASHRAE The American Society of Heating, Refrigerating and Air-Conditioning Engineers

ATAC Allied Technical Assistance Contractor

BMS Building Management System

BPS Building Performance Standards

BTU British Thermal Unit

CBECS Commercial Building Energy Consumption Survey

CFM Cubic Feet per Minute

CMU Concrete Masonry Unit

DAS Department of Administrative Services

DAT Discharge Air Temperature

DCV Demand Controlled Ventilation

DDC Direct Digital Controls

DHW Domestic Hot Water

DX Direct Expansion

EEM Energy Efficiency Measure

EFLH Equivalent Full Load Hours

EUI Energy Use Index

EUIt EUI Target

ETO Energy Trust of Oregon

HVAC Heating Ventilating and Air Conditioning

HVU Heating/Ventilation Unit

HW Heating Water kBtu 1,000 BTUs kW Kilowatt kWh Kilowatt-hour

LPD Lighting Power Density

MA Mixed Air

MBH 1,000 BTU/hour

MMBTU 1,000,000 BTU

NG Natural Gas

OA Outside Air

OAT Outside Air Temperature

ODOT Oregon Department of Transportation

OEESC Oregon Energy Efficiency Specialty Code

RA Return AIr

RTU Roof-top Unit

SF Supply Fan sf Square Feet

SP Static Pressure

TAS Technical Analysis Study

TU Terminal Unit

VAV Variable Air Volume

VFD Variable Frequency Drive

W Watt

WC Water Column

Yr Year

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1 Key Contact Information Table 1-1: Key Contact Information

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2 Project and Measure Summary

This report outlines proposed energy efficiency improvements for Building A, located at 455 Airport Rd SE, Salem

Oregon, with a total gross floor area of approximately 20,674 sf.

Based on recent utility data, the building has an average annual energy consumption of 300,865 kWh and 17,322 therms, resulting in an EUI of 133.4 kBtu/sf/yr, significantly above the applicable EUIt of 57 kBtu/sf/yr for Tier 2 buildings. The recommended energy efficiency measure (EEM-1) includes implementation of terminal unit dual-max control and supply fan static pressure reset to reduce unnecessary airflow and fan energy during part-load conditions. This measure is expected to impact the entire facility.

Following implementation of EEM-1, the building’s energy use intensity is projected to decrease to 50.7 kBtu/sf/yr, representing an approximate 62% reduction in overall energy use and approximately 11% below the EUIt benchmark. These improvements are driven primarily by reduced fan energy and decreased reheat demand resulting from improved airflow control and system modulation.

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Energy Use and Savings Summary

Table 2-1: Site Energy Use and Savings

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Energy Efficiency Measure (EEM) Summary – Custom Track

The following EEM is recommended for the participant’s site and is potentially eligible for custom incentives under the Existing Buildings program:

• EEM 1 – Controls Replacement

A complete controls replacement is proposed. As part of this measure, TU dual-max programming will be implemented along with a static-pressure reset. These controls changes are expected to reduce energy consumption with lower TU reheat demand as well as reduced fan power due to SP reset.

The table below includes a list of recommended EEMs that may be eligible for Custom Incentives:

Table 2-2: EEM Summary – Custom Track

1. Cost savings are based on Energy Trust average utility rates for electricity and gas. Actual rates and cost savings may differ.

2. Non-energy cost benefits are related to cost savings due to avoided maintenance, reduced water costs etc.

3. Program Eligibility Cost is used to estimate cost-effectiveness under the Program. This could be the incremental cost for end-of-life replacement or full costs for early replacement measures.

Program eligibility cost typically includes equipment and labor costs. Costs such as permitting, shipping, crane use, painting, warranties, concrete pads, engineering, and design are ineligible to include in the program costs.

4. Project Cost includes all the costs the participant would incur towards the EEM such as equipment, labor, permitting, shipping, and all other applicable costs.

5. Simple payback is estimated using current utility rates and project costs, which could vary over time.

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Historical Energy Usage

Table 2-3: Historical Building Energy Use

1. Median EUI source: https://www.energystar.gov/buildings/benchmark/understand-metrics/what-eui

2. Cells highlighted yellow represent missing utility data, and are instead based on an average of the same month during previous years.

2023 2024 2025 3-year

Average 2023 2024 2025

3-year

Average

January 22,080 28,880 25,480 25,480 4,091 3,587 3,113 3,597

February 25,760 23,920 25,586 25,089 3,863 3,253 3,628 3,581

March 25,120 24,480 21,181 23,594 3,542 3,002 2,376 2,973

April 23,920 22,640 20,063 22,208 2,857 2,226 1,642 2,242

May 25,680 25,120 18,484 23,095 1,347 1,109 553 1,003

June 27,520 23,920 20,190 23,877 2 173 25 67

July 32,800 32,960 26,749 30,836 164 11 0 58

August 38,000 30,000 28,627 32,209 0 0 0 0

September 25,200 26,000 23,281 24,827 0 0 0 0

October 21,120 21,200 18,436 20,252 2 33 226 87

November 26,480 23,680 20,889 23,683 818 802 1,560 1,060

December 25,840 28,000 23,309 25,716 2,813 2,791 2,357 2,654

Annual energy usage 319,520 310,800 272,275 300,865 19,499 16,987 15,480 17,322

Month 25-36 Month 13-24 Month 1-12 Month 25-36 Month 13-24 Month 1-12

Annual energy usage (kBtu) 1,090,202 1,060,450 929,002 1,026,551 1,949,432 1,698,292 1,547,628 1,731,784

Electric Use (kWh) Natural Gas Use (therms)

Annual Energy Usage

Energy Performance of the facility

Median EUI for facility type in the US2 52.9

Conditioned space area (sqft) 20,674

Total Energy Use (kBtu per year, based on 3-year Average) 2,758,336

Energy Use Intensity, EUI (kBtu/sqft/year) 133.4

Rolling energy Usage1

Month

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CONSUMPTION GRAPH NARRATIVE

The historical energy use of the building is based on the average annual usage of the building for 2023, 2024, and

2025 from January through December. There was one suspected missed meter read for electrical data in January of 2025. Year-to-Year average variation was 10% or less for electrical use and 13% or less for NG consumption.

These variations were attributed to yearly climatic changes, and all the energy consumption data was deemed reasonable and used in calculations.

HVAC energy calculations were calibrated using a single combined spreadsheet for both AHUs in the building for fan, cooling, and heating energy use. The calculated consumption of these end uses was input into an end-use split table with estimates on all other end uses to ensure the appropriate energy consumption was being allocated to the energy use of the AHUs. Below is a description of the process for allocating energy to each end use to ensure calibration of the savings calculations.

Heating – Heating energy is based on the total heating energy use of the calculation spreadsheets.

Cooling – Cooling energy is based on the total cooling energy use of the calculation spreadsheets.

Ventilation – Fan energy is based on the total fan energy use of the calculation spreadsheets.

Pumps – Pump energy is based on the total pump energy use of the calculation spreadsheets. Loop pumping power was added to the calculations, and boiler loop speed is directly related to heating demand.

DHW – Because of difficulties quantifying DHW use, this estimate was reached by first calibrating HVAC NG use with the remainder being allocated to DHW.

Interior Lighting – Lighting energy was estimated using an assumed average LPD of 0.8 W/sf applied to the conditioned floor area. Annual operating hours were estimated at 10 hours per day, 5 days per week. While a modified baseline was used for HVAC calculations, lighting controls are assumed to have been changed immediately upon occupancy by ODOT and so are based on the current occupants work schedule for both the baseline and modified baseline.

Plug Loads – Because plug loads are more difficult to quantify, the input was based on the total remaining kWh after all other end uses were input and checked for reasonability.

Elevator –Energy consumption for this end use was developed using Thyssen-Krupps online elevator energy consumption tool (https://design.na.tkelevator.com/tools/energy-calculator).

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3 Facility & Equipment Description ODOT Building A, located at 455 Airport Road SE in Salem, Oregon, is an administrative office facility operated by the Oregon Department of Transportation. The building has an approximate gross floor area of 20,674 square feet based on available drawings and consists of two stories with a flat roof. The structure is primarily constructed of

CMU walls (assumed).

Facility Operations

The facility operates on a standard weekday schedule, typically from 8:00 AM to 5:00 PM, Monday through Friday.

Based on this schedule, total occupied hours are estimated at approximately 2,232 hours annually, with the remaining 6,528 hours classified as unoccupied.

Occupancy is estimated at approximately 50 staff during normal operating hours. Building usage is consistent with typical office functions, including administrative work, meetings, and general office support activities. No significant after-hours or weekend occupancy patterns were observed.

Building Envelope

• Exterior Walls o Stucco over concrete, uninsulated (assumed) o Gypsum board, ½” (assumed) o U-Value: 0.045 (assumed based on ASHRAE 90.1)

• Membrane Roof o Single ply TPO (assumed) o R-20 continuous insulation (assumed) o U-Value: 0.045 (assumed based on ASHRAE 90.1)

• Windows o Double pane windows with aluminum frames o Glazed area 20% window-to-wall ratio (based on visual observation) o U-Value: 0.90, SHGC:0.68, VT= 0.66 (assumed based on ASHRAE 90.1)

HVAC System

Building A is served by two RTUs that provide ventilation and cooling to approximately 30 Tus distributed throughout the facility. The RTUs operate as variable volume supply systems that deliver conditioned air at an approximate supply air temperature of 55°F-65°F (depending on OAT) and a SP of 1.5”wc.

Each terminal unit is equipped with a modulating damper and a hydronic reheat coil, allowing for zone-level temperature control. During cooling operation, terminal unit dampers modulate to meet zone load requirements.

During heating operation, airflow is reduced to a minimum setpoint and reheat coils are activated to maintain zone temperature.

Heating for the terminal unit reheat system is provided by two 600 MBH combi-boilers. These boilers supply hot water to the hydronic distribution system via integral heat exchangers. The boilers are configured in a lead-lag arrangement to optimize efficiency and provide redundancy.

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Hydronic heating water is circulated throughout the building using two 1.5 horsepower circulation pumps. These pumps are also configured in a lead-lag fashion.

A complete inventory of the buildings HVAC systems and zoning map is included below.

Table 3-1: Boiler Inventory

Table 3-2: Pump Inventory

Table 3-3: AHU Inventory

Tag MFG Unit Type Model #

Heating

Cap

(MBH)

AFUE

B-1 ATH Combi-Boiler KN-6WW 556.2 90% B-2 ATH Combi-Boiler KN-6WW 556.2 90%

Boiler Inventory

Pump Tag Service Location GPM TDH Motor

HP

Motor kW VFD Max Speed (Hz)

Min Speed

(Hz)

P-1 Heating Water Boiler Room 55 35 1.5 1.23526 Y 53 30

P-2 Heating Water Boiler Room 55 35 1.5 1.23526 Y 53 30

Pump Inventory

Tag MFG Unit

Type Model #

Supply

CFM

Exhaust

CFM

Min

OA

CFM

Supply

HP

Supply kW

Power

Ex. HP

Power

Ex kW

Heating

Coil

(MBH)

Cooling

Coil (MBH)

Cooling

EER

RTU-2 York VAV Y13AC02I5KDEBAA 12,500 4,000 2,875 10 7.03 7.5 5.31 N/A 360 9.5

RTU-1 York VAV Y13AC02I5KDEBAA 12,500 4,000 2,875 10 7.03 7.5 5.31 N/A 360 9.5

25,000 8,000 5,750 20 14.06 15 10.63 N/A 720 N/ATotals

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Table 3-4: Terminal Unit Inventory

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Figure 3-1: First Floor Zoning Map

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Figure 3-2: Second Floor Zoning Map

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Domestic Hot Water System

Domestic hot water for the facility is provided by the same combi-boiler system that serves the hydronic heating loop. The system supplies hot water to typical office fixtures, including restrooms and breakroom facilities.

Domestic hot water loads are considered minimal relative to overall building energy consumption.

Controls (For Relevant Equipment)

HVAC controls for the facility are provided by a third-party administrator (DAS) that is primarily text-based and offers limited programmability. The system lacks advanced control capabilities such as demand-based ventilation, static pressure reset, and optimized terminal unit control sequences.

As a result, several operational inefficiencies were identified during site inspection and trend data analysis, including inconsistent outside air control, fixed static pressure setpoints, and suboptimal terminal unit airflow control.

Lighting controls appear to be minimal and primarily consist of manual switching, with limited or no occupancy-based control strategies observed.

Internal Loads

Internal loads within the facility are typical of an office environment and include computers, monitors, printers, and miscellaneous plug loads. One server rack was identified during the site visit; however, it is relatively small and not expected to contribute significantly to overall building energy consumption.

Previous Energy Efficiency Upgrades

Documents concerning a mechanical and electrical study performed by Systems West in 2015 were available, but it is unclear what recommendations from that study were implemented.

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4 Detailed EEM Description – Custom Track

EEM 1 – Controls Replacement

4.1.1 EXISTING BASELINE DESCRIPTION

The existing controls system at Building A provides limited functionality and is difficult to configure, resulting in several operational deficiencies identified through site inspection and trend data analysis:

• Outside Air Control Deficiencies

• Analysis of trend data indicates that OA damper control is inconsistent and does not reliably maintain intended ventilation rates. Outside air fraction was calculated using measured RA, MA, and OA temperatures. Calculated values ranged from approximately 0% to 85% outside air and exhibited significant variability.

During typical weekday operation, the facility is frequently under ventilated during morning hours, with outside air fractions as low as 1–3% until approximately 10:30 AM. At that time, the outside air damper begins to swing between 1% to 85% and remains active until approximately 5:15 PM, after which it closes. The damper does not consistently reopen until late morning the following day. While active, the outside air damper exhibits large fluctuations, suggesting unstable control or “hunting” behavior. This behavior is detailed further in Appendix D data logs.

• Terminal Unit Control Strategy

• TUs are currently configured using a single-maximum control sequence. Under this strategy, airflow increases to a maximum setpoint during cooling and reduces to a fixed minimum setpoint during heating operation. This minimum setpoint is not dynamically adjusted based on load and is frequently higher than required to meet ventilation needs.

As a result, during low-load and heating conditions, excess airflow is delivered to the space and must be offset by TU reheat. This control approach results in unnecessary reheat energy consumption.

• Supply Fan Operation

• Trend data indicates that supply fans operate at approximately 83% speed for the majority of operating hours. The existing control sequence maintains a fixed static pressure setpoint of approximately 1.5” WC, with no demand-based reset strategy.

This constant high static pressure requirement results in elevated fan energy consumption, as fan speed does not decrease during part-load conditions when airflow demand is reduced.

4.1.2 MODIFIED BASELINE DESCRIPTION

A Modified Baseline approach was used for this measure due to a mismatch between historical utility consumption and current building operation.

Historically, Building A operated as a call center with near-continuous occupancy, and HVAC systems were configured for 24/7 operation. Utility billing data reflects this mode of operation. The building is currently operated as a standard office facility with typical occupied hours from 8:00 AM to 5:00 PM, Monday through Friday. While the exact date of this operational change is unknown, it is estimated to have occurred within the past six months based on discussions with site staff and observed system behavior.

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Trend data collected through the existing controls system confirms that HVAC scheduling has been revised within the past year to align more closely with the updated occupancy pattern. As a result, historical utility data is not representative of current or expected baseline operating conditions.

To address this discrepancy, the energy model was initially calibrated to historical utility data using a 24/7 operating schedule to establish alignment with measured consumption. Following calibration, the model schedule was revised to reflect verified current operating hours. This revised schedule forms the basis of the modified baseline condition used for savings calculations

In addition to scheduling discrepancies, significant instability was observed in OA damper operation, with calculated OA fractions ranging from approximately 1% to 85% during occupied periods. This variability is indicative of improper control and does not represent intended or code-compliant ventilation performance.

To isolate the impact of the proposed control strategies and avoid overstating savings, OA ventilation rates were normalized in both the modified baseline and proposed cases to reflect calculated minimum outdoor air requirements in accordance with ASHRAE 62.1. For modeling purposes, a representative OA fraction of 23% (5,750

CFM OA) was applied as the baseline OA rate. This value was derived from analysis of trend data during periods when the OA damper was observed to be active under typical weekday operation. For both the modified baseline and Proposed end-use calibration, an OA value of 9% (2200 CFM OA) was applied. The calculations derived from

ASHRAE 2016 62.1 (table 6.2.2.1) are included below. These calculations are conservative in that the entire floor area was included to ensure adequate ventilation was delivered. There were no spaces broken out for mechanicals, bathrooms, storage, etc. Subtracting these spaces from the floor area would decrease the required ventilation rate.

Table 4-1: ASHRAE 62.1 Ventilation Calculations

4.1.3 PROPOSED MEASURE DESCRIPTION

A new DDC system is proposed to replace the existing controls platform and enable advanced control strategies for the air handling systems and associated TUs.

As part of this upgrade, all TUs will be reprogrammed to operate using a dual-maximum (dual-max) control sequence. Under this control strategy, each TU will be configured with a maximum airflow setpoint for cooling, a reduced maximum airflow setpoint for heating, and a minimum airflow setpoint to maintain required ventilation.

The minimum airflow setpoint will be established to meet ASHRAE 62.1 ventilation requirements at all times, while the reduced heating airflow setpoint will limit excess airflow during low-load and heating conditions. This control sequence reduces unnecessary airflow and associated reheat energy while maintaining thermal comfort and ventilation compliance. Both the baseline and proposed TU schedules are provided in figures 4-1 and 4-2 for clarity.

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Figure 4-1: Baseline Terminal Unit Schedule

Figure 4-2: Proposed Terminal Unit Schedule

In addition, the new DDC system will implement a supply fan static pressure reset strategy based on real-time TU demand. The current system maintains a fixed static pressure setpoint of approximately 1.5” WC, resulting in consistently high fan speeds regardless of actual load conditions. Under the proposed sequence, the supply fan static pressure setpoint will be dynamically reset within a range of approximately 0.5 inches water column at low system demand to 1.5 inches water column at peak demand.

The static pressure reset will be controlled based on TU damper positions, with the setpoint reduced when the majority of dampers are below a defined threshold and increased as damper positions approach full open. This strategy allows the supply fan to operate at lower speeds during part-load conditions, reducing fan energy consumption in accordance with fan affinity relationships.

Together, the implementation of dual-max terminal unit control and supply fan static pressure reset will reduce both reheat energy and fan energy consumption while maintaining required ventilation rates and occupant comfort.

1 5 1

Te m p er at u re

OAT,

AT Average one SAT A ox

1 5 1

Te m p er at u re

OAT,

AT Average one SAT A ox

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4.1.4 SAVINGS METHODOLOGY

Savings will result from both TU dual-max programming and the new static-pressure reset. EEM-1 savings were calculated using a modified Bin Spreadsheet method. This BIN spreadsheet calculation used a TMY3 weather file for Salem-McNary encompassing OA temperatures for 8,760 yearly hours. These calculations included values for all equipment nameplate specifications, supply air setpoints, TU programming, OA rates, and schedules. See Appendix

C for more detail.

To account for additional “Optimal Start” run time, the proposed bin was broken into bin periods which total

8,760 yearly hours. The first bin “ A HR Opt. Start Proposed”, models cold-season run time, with the average daily temperatures (based on a 15-day moving average) below 45f. This bin includes all days between 12/3 and

3/10, and was granted an additional 2 hours of morning run time to account for building warm-up. The second bin

“ A 1 HR Opt. Start Proposed”, models shoulder season HVAC performance, with the average daily temperatures below 50f but above 45f. This bin includes all days between 3/11 to 4/21 and 10/26 to 12/2 and was granted an additional 1 hour of morning run-time to account for building warm-up. The third bin “ A No Add’l Run

Proposed” models the rest of year, with daily temperature averages equal to or greater than 50f. This bin was applied to dates between 4/22 to 10/25 and was modeled with no additional run-time. Calculation of these values is detailed in Appendix C.

To account for savings related to the addition of a SP Reset, fan speed is reduced for bins of low- demand. To accurately model this behavior, fan speed is calculated using whichever is greater: VAV box demand % or the minimum supply fan speed as defined in BIN spreadsheet inputs. This value was capped at 83% for both the baseline and modified baseline due to trend analysis. The proposed condition allows the fan to slow as much as

50%, a reasonable SF turndown that should still see significant savings.

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Table 4-2: EEM 1 Assumptions

# Assumption Reasoning

Baseline Heating modeled at 100% cycling below 35 OAT

Staff utlize manual controls during cold

OAT's

Building occupancy schedule is assumed to be Monday– riday, : AM to 5: PM

(2,232 annual hours).

Based on site observations and trend data review indicating standard office occupancy patterns.

Terminal units operate under a single-max control sequence in the baseline condition.

Confirmed through controls review and observed airflow behavior.

Proposed dual-max control reduces airflow during heating and low-load conditions while maintaining ventilation minimums.

Reflects standard VAV dual-max control strategy and aligns with ASHRAE 62.1 requirements.

Minimum airflow setpoints in the proposed case are based on calculated ventilation requirements.

Ensures compliance with ventilation standards while minimizing excess airflow and reheat.

Baseline supply fan operates at a constant high speed (~83%) due to fixed static pressure setpoint (1.5” WC).

Based on trend data and control system review indicating no static pressure reset.

Proposed static pressure reset range is .5”

WC to 1.5” WC based on terminal unit demand.

Reflects standard control sequence and observed system capability.

1 Hour optimal start run-time added between 3/11-4/21 and 10/26-12/2

Ensures calculations account for additional building warm-up

2 hour optimal start run-time added between

12/3-3/10

Ensures calculations account for additional building warm-up

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Table 4-3: EEM 1 Baseline vs Proposed Conditions

4.1.5 ESTIMATED COST

Costs for this measure are based on a vendor provided estimate, included in Appendix F.

Table 4-4: EEM 1 Costs

Cost Component Unit Cost Qty Subtotal

HVAC Controls Replacement $128,721.00 1 $128,721

Total Cost $128,721

4.1.6 NON-ENERGY BENEFITS ESTIMATES

Non-energy benefits for this measure have not been calculated.

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4.1.7 MEASURE LIFE

Table 4-5: ETO Multi-Component Measure Life Calculator – EEM 1

4.1.8 MEASURE SUMMARY TABLE

Table 4-6: EEM 1 Measure Summary

1. Savings are calculated by subtracting the proposed usage from the modified baseline usage. Baseline values are for reference only and not used in calculations.

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5 Calculation Methodology Description

Calculation Software

Energy consumption for both baseline and proposed conditions was calculated using bin-level analysis, with each temperature bin representing aggregated hours at a given OA temperature. For each bin, system airflow, heating load, and fan power were determined based on equipment capacities, control logic, and operating conditions. TU airflow in the baseline and modified baseline conditions was modeled using single-maximum airflow, while the proposed condition incorporated dual-max control, with cooling airflow at design conditions and reduced airflow during heating operation. Heating energy was calculated where zone load exceeded the heating capacity of supply air, using standard air-side heat transfer relationships (Q = 1. × C M × ΔT) and converted to therms based on system efficiency. Fan power was calculated as a function of airflow using a part-load fan curve, with power varying as a function of fan speed raised to an exponent of 2.7, applied to the design fan kW.

For the baseline condition, fan speed was constrained to observed operating limits based on trend data, while the proposed condition allowed fan speed to vary dynamically based on system demand. Fan speed in each bin was determined as the greater of TU demand fraction or minimum fan speed, representing supply fan control under SP reset. Additional runtime associated with optimal start was incorporated by adjusting total operating hours within each seasonal bin. Bin-level energy use for heating and fan operations was calculated independently and summed across all bins to determine annual energy consumption for both baseline and proposed cases, with savings calculated as the difference between these conditions.

Energy Model Calibration

These calculations utilized an 8,760 hour bin spreadsheet model, and was not calibrated on a month-to-month basis. An annual calibration was completed to ensure the model aligned with actual consumption data, and then further refined as a modified baseline to align the model with recent schedule changes implemented at Building A and appropriate ventilation rates.

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6 Post-Installation Verification Plan

PIV Summary

EEM1:

On-Site Tasks:

• Verify TU programming at a representative sample of zones to confirm implementation of dual-max control, including reduced airflow during heating operation.

• Trend supply fan speed, SP, and TU damper positions over a minimum one-week period to confirm fan speed reduction under part-load conditions.

• Review HVAC schedules and optimal start sequences to confirm alignment with proposed operating schedules and seasonal startup durations.

Follow Up:

• Analyze trend data to confirm that supply fan speed varies with system demand and is not operating at a fixed high speed during low-load periods.

• Confirm that TU airflow decreases during heating mode relative to cooling mode across sampled zones.

• Verify that optimal start sequences are only active during designated seasonal periods and reflect the modeled additional runtime.

Parameters to Review:

Table 7-1: EEM PIV Table

Measure Parameter Target Value PIV Step

Terminal Unit

Heating Airflow

Reduced airflow relative to cooling

(dual-max active)

Review BAS point trends or field measurements at representative zones

Terminal Unit

Deadband Airflow

Reduced airflow relative to heating

(dual-max active)

Review BAS point trends or field measurements at representative zones

Supply Fan Speed Modulates with load; capable of turndown to ~50%

Trend supply fan VFD speed

vs. zone demand or damper position

Static Pressure

Control

Reset based on system demand (not fixed setpoint)

Trend static pressure setpoint and verify variation over time

Optimal Start

Operation

Additional runtime only during defined seasonal periods

Review schedules and trend system start times vs.

occupancy

HVAC Schedule

Aligns with proposed occupied/unoccupied schedule; no continuous operation during unoccupied periods

Review BAS schedules and trend fan status/runtime to confirm operation matches programmed schedule

EEM1

Should be Table 6-1

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7 Next Steps for the Participant

Apply for Energy Trust Incentives for Recommended EEMs

7.1.1 OBTAIN BIDS FOR EEM(S) YOU WISH TO IMPLEMENT AND SIGN THE INCENTIVE APPLICATION

• The participant will evaluate the recommended EEMs contained in the TAS and estimated incentives in the accompanying 110C and select the EEMs they wish to implement.

• The participant must obtain bids from contractors for the EEM(s) they wish to implement and send a copy of the final bid to the Energy Advisor.

• The PMC will review the contractor’s proposed scope and costs to determine compliance with

Existing Building program requirements, alignment with the EEMs as described in this TAS and to ensure that the EEMs still meet the cost-effectiveness criteria.

• If the bids are found satisfactory and subject to Existing Buildings program requirements in effect at that time and incentive budget availability, PMC may issue Form 120C (or 320C) - Incentive Offer form for participant review and signature. This offer to reserve incentives will detail the approved measures and estimated incentives that the participant is applying to receive, as well as Energy

Trust’s terms and conditions for Existing uildings program incentives, including any per-site, per-year limits.

• To apply for a reservation of Energy Trust custom incentives, the customer must return the signed

Incentive Offer to the PMC by the submittal deadline listed in the Incentive Offer application and

BEFORE issuing purchase orders or beginning the project work. If the participant moves forward with purchase orders or installation before signing and returning the Incentive Offer application, the measures will no longer be eligible for Energy Trust incentives.

7.1.2 NOTIFY PMC UPON INSTALLATION OF EEM(S) AND SUBMIT COMPLETION DOCUMENTATION

• The participant must notify the PMC once the installation of EEMs is completed along with final invoices before the project’s incentive reservation expiration date which will be included in the

Incentive Offer.

• A post-installation verification of the installed EEMs could be required.

• All required documentation must be provided to the PMC and post installation verifications (if required) must be completed before incentive payments can be issued.

Determine BPS Compliance and/or Next Steps

7.2.1 CONFIRM BPS COMPLIANCE OR LACK THEREOF

With a calculated gross floor area (GFA) of 20,674 sf, Building A qualifies as a Tier 2 building with an EUIt of 57 kBtu/sf/yr. While Tier 2 buildings are not required to demonstrate compliance with the EUIt, the target provides a useful benchmark for evaluating overall building performance.

Following implementation of the recommended energy efficiency measure (EEM-1), the building’s EUI is projected to decrease to 48.8 kBtu/sf/yr, representing an improvement relative to current conditions and approximately 14%

26 | Building Performance Standard TAS Template 2026.1.1 below the applicable EUIt. This level of performance exceeds the recommended 5% margin of safety, indicating a high likelihood of achieving sustained performance below the benchmark under typical operating conditions.

Based on these results, the recommended measure is expected to reduce building energy use to a level well below the EUIt benchmark. No additional measures are required to achieve performance aligned with this target.

7.2.2 TECHNICAL ANALYSIS STUDY GAPS RELATIVE TO ASHRAE LEVEL 2 AUDIT

Note that the TAS is not a substitute for a full ASHRAE Level 2 audit. The TAS may identify most, if not all, potential energy savings opportunities that are viable for a given facility. However, the TAS has the following gaps compared to a full ASHRAE Level 2 audit:

1. ASHRAE Level 2 audit may include EEMs that would not be considered cost-effective according to

ETO’s methodology, and therefore are excluded from the TAS.

2. ASHRAE Level 2 audit specifies more granular detail on building space types, building envelope, and

HVAC details than may be captured in the TAS.

3. ASHRAE Level 2 audit requires an inventory of interior and exterior lighting types, ballast types, and controls. The TAS generally requires a brief description of lighting, with recommendations to follow up with a lighting trade ally to pursue opportunities.

4. ASHRAE Level 2 audit requires more detail for plug loads, process, and conveyance. The TAS allows for ATACs to estimate plug loads with minimal detail.

5. ETO’s TAS focused solely on fuels associated with the five investor-owned utilities in Oregon. The

ASHRAE Level 2 audit accounts for all fuels used at a site, such as propane.

6. ASHRAE Level 2 audit requires an end use breakdown for the historical utility data while the TAS does not consider this necessary for analysis and reporting.

7. ASHRAE Level 2 audit requires utility rate schedules, while these are captured in separate ETO forms as part of the overall custom TAS process.

8. ASHRAE Level 2 audit requires lighting and equipment inventory tables, as well as operations and maintenance logs and equipment specifications. The TAS only requires details relevant to identified

EEMs.

For reference, ETO Program Management Contractor’s engineering team estimates an average of hours per study for the level of effort to produce an ASHRAE Level 2 audit beyond the requirements of the TAS.

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8 Apply for Energy Trust Solar Incentives

The building exhibits strong solar potential due to its large, contiguous low-slope roof area (~13,672 sf) with minimal obstructions. Rooftop mechanical equipment is limited and centrally located. The surrounding area is relatively open, with only minor shading from nearby trees along the perimeter that is unlikely to significantly affect overall system performance. Based on these conditions, the site is well-suited for a rooftop photovoltaic system with favorable annual energy production and straightforward installation.

- https://energytrust.org/solar-request-analysis-bid/. ETO will match you with qualified solar Trade Ally contractors in your area. The solar Trade Allies will help you assess your rooftop or property potential for solar power, provide a bid with estimates incentives, tax credits, annual solar power generation and utility cost savings information, and answer any questions you may have.

Note that solar installations do not qualify for BPS incentives from the Oregon Department of Energy.

https://energytrust.org/solar-request-analysis-bid/

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9 Appendix A – EUL Reference SB 1149 Appendix A is the default reference used for technology EULs. If a technology is more accurately captured by a different EUL source, the alternative source may be cited.

*SB1149 Measure Life Table References available on page 27 of 2022 Program Guidelines (oregon.gov) https://www.oregon.gov/energy/energy-oregon/Documents/2022-09-SB-1149-Schools-Program-Guidelines.pdf

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10 Appendix B – Greenhouse Gas Savings Factors

Electricity Suppliers lbs CO2e / kBtu of electricity use

Pacific Power (PacifiCorp) 0.348

Portland General Electric (PGE) 0.207

Natural Gas Suppliers lbs CO2e / kBtu of electricity use

Avista Utilities 0.116

Cascade Natural Gas 0.123

Northwest Natural Gas 0.121

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11 Appendix C – EEM-1 Documentation

Below are screenshots of the calculation inputs with descriptions to further explain the Bin-Data model approach.

Each calculation is based on the HVAC system characteristics and occupancy schedules that were obtained from staff, and observations during the site visit. These bin-data calculations have been included in the submittal as supplementary documentation.

Row 2 – Unit CFM – The unit CFM is the same in the baseline and proposed models and is based on the nameplate information for each AHU a.

Row 3 – Heating Coil MBH – Is based on the heating capacity based on the AHU nameplate.

Row 4 – Reheat Coil MBH – is based on the heating capacity of the boilers, or the total available heat.

Row 4 – Heating Coil Leak by – is based on the percent of heating water leaking by the TU coil.

Row 5 – Cooling Coil MBH– Is based on the cooling capacity based on the AHU nameplate.

Row 6 – Cooling Coil Leak by – is based on the percent of cooling water leaking by the TU coil.

Row 7 – Min OA CFM–Is based on the minimum outside air CFM from site observations and trend analysis.

Row 8 – Minimum OA %– Minimum OA CFM divided by the Unit CFM.

Row 9 – RAT– A constant input that assumes a return air temperature of 72 degrees, an average of the heating and cooling setpoint.

Row 10 – Fan Heat – This is calculated within the spreadsheet based on the motor kW and CFM during operation.

Row 11 – Total Max SF kW– Full load kW based on nameplate.

Row 12 – Max SF Speed– Maximum speed of the supply fan, in Hz.

Row 13 – Min SF Speed – Minimum speed of the supply fan, in Hz.

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Row 14 – Total Max RF kW – Full load kW based on nameplate.

Row 15 – Max RF Speed – Maximum speed of the power exhaust fan, in Hz.

Row 16 – Min RF Speed – Minimum speed of the power exhaust fan, in Hz.

Row 17 – UNUSED

Row 18 – Heating AFUE – Heating efficacy based on the AHU nameplate. 0.8 corresponds to an AFUE of 80%.

Row 19– Cooling kW/Ton – Cooling efficacy based on system nameplate or technical data.

Row 20 – Heating lockout – Temperature at which the boiler is locked out.

Row 21 – Boiler Loop Pump kW – Full load kW based on nameplate.

Row 26 – OAT Max Heating Reset – The OAT in which the maximum heating is required to condition the supply air.

Row 27 – DAT Max Heating Reset– The average DAT at the value specified in Row 17. This represents the high end of the heating reset with all other values ramped linear between the max and min reset.

Row 28 – OAT Max Cooling Reset – The OAT in which the maximum cooling is required to condition the supply air.

Row 29 – DAT Max Cooling Reset – The average DAT at the value specified in Row 19. This represents the high end of the cooling reset with all other values ramped linear between the max and min reset.

Row 34 – OAT Max Zone Heating – The OAT in which the maximum heating is required to condition the zone air.

Row 35 – Max Zone DAT– The average zone level DAT at the value specified in Row 34. This represents the high end of the heating reset with all other values ramped linear between the max and min reset.

Row 36 – OAT Min Zone Heating – The OAT in which the minimum heating is required to condition the zone air.

Row 37 – Min Zone DAT – The average DAT at the value specified in Row 36. This represents the high end of the cooling reset with all other values ramped linear between the max and min reset.

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Row 41 – OSA Damper Max % – The maximum OA available during economizer.

Row 42 – OSA Damper Min % – The minimum damper position when the unit is not in economizer.

Row 46 – VAV Box Damper Max % –The maximum damper opening during cooling, as a percent.

Row 47 –Max Cooling OAT – The OAT at which maximum cooling demand is reached.

Row 48 –VAV Box Damper Min % –The minimum damper opening during cooling, as a percent.

Row 49 –Min Cooling OAT – The OAT at which minimum cooling demand is reached.

Row 51 –VAV Box Damper Min % – The minimum damper opening during heating, as a percent.

Row 52 –Min Heating OAT – The OAT at which minimum heating demand is reached.

Row 53 –VAV Box Damper Max % – The maximum damper opening during heating, as a percent.

Row 54 –Max Heating OAT – The OAT at which maximum heating demand is reached.

The baseline schedule is based on the historical operation of the building. While operational hours have recently changed, incorporating this schedule into the model ensures alignment with actual utility data. Values of 1 represent an occupied hour, while values less than one represent part-hour occupancy. Hours shaded blue have been deemed proper and necessary runtime hours. Hours shaded in yellow have been deemed unnecessary runtime hours which will be removed from the unit’s schedule.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Monday 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24

Tuesday 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24

Wednesday 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24

Thursday 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24

Friday 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24

Saturday 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24

Sunday 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 24

Ratio 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 24.00

Baseline Schedule

Proper runtime hours

Unneeded baseline runtime hours during unoccupied period

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The modified baseline schedule is based off the schedule currently implemented at the facility. Hours shaded blue have been deemed proper and necessary runtime hours. Hours shaded in green represent unnecessary runtime hours which have been removed from the unit schedule.

The proposed schedules are based on the modified schedule with unnecessary runtime hours removed. Three schedules were developed to accurately model seasonal changes in building warm-up. Hours shaded blue have been deemed proper and necessary runtime hours. Hours shaded in green represent unnecessary runtime hours which have been removed from the unit schedule.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Monday 0 0 0.5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 14.75

Tuesday 0 0 0.5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 14.75

Wednesday 0 0 0.5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 14.75

Thursday 0 0 0.5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 14.75

Friday 0 0 0.5 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 14.75

Saturday 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Sunday 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Ratio 0.00 0.00 0.36 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.18 0.00 0.00 0.00 0.00 0.00 0.00 10.54

Modified Baseline Schedule

Proper runtime hours

Unneeded baseline runtime hours during unoccupied period

Hours removed in proposed model

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 0

Monday 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 13.25

Tuesday 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 13.25

Wednesday 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 13.25

Thursday 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 13.25

Friday 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0.25 0 0 0 0 0 0 13.25

Saturday 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Sunday 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Ratio 0.00 0.00 0.00 0.00 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.71 0.18 0.00 0.00 0.00 0.00 0.00 0.00 9.46

Proper runtime hours

Unneeded baseline runtime hours during unoccupied period

Hours removed in proposed model

Proposed Schedule - 1 Hr. Optimum Start (3/11-4/21 and 10/26-12/2)

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12 Appendix D – Data Logs

This period represents a typical weekday. OA rates are insufficient for code ventilation until 10:00 am, at which point the OA damper swings between ~5% and 85%. OA rates were averaged over one of these periods as the basis of calculations. The average OA rate was 23% and is indicated by the green horizontal line below.

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This period represents a typical weekday. SF speed is maintained at ~83% constantly as there is no SP reset programming. This trend analysis served as the basis of calculations. EEM-1 SP reset programming realizes savings by lowering the SF speed as TU demand drops.

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This data log represents the basis for 100% cycling (both occupied and unoccupied) when OAT is below 35 degrees

F. The occupied period is shown above in yellow. The HVAC system runs continuously during these periods.

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This datalog represents a typical cold-weather week. According to staff interviews, the system is set to continuously occupied during periods of cold weather. For the purposes of this study, periods of cold weather are defined as periods with average daily temperatures below 35F.