TRANSSOLAR KLIMAENGINEERING

BCIT NE01 Energy Upgrade and Retrofit StudyResult Summary

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Transsolar Goals for Study:

• Understand the NE01 building and assess its current state

• Analyze the climate situation to drive passive design strategies

• Engage students and faculty for feedback and idea generation through a workshop

• Investigate potential for comfort improvements in the space and energy reduction

• Develop an energy strategy to meet the ambitious Factor Four goals

Introduction

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Building Understanding

3

HVAC System

• All-air Conditioning System

• Centralized Air Handling Units

• Air Recirculation

• Centralized reheat coils

• BCIT district heating supply with back-up local gas boilers

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Building Understanding

4

Lighting

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Creating a Base Case

5

Calculated values

Adjusted Energy Consumption for Comparison

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Creating a Base Case

6

Load Type Description Current Case Base Case

Ventilation Air Supply Flow Rate 1266 m3/hour 1266 m3/hour

Ventilation Control 8:30 am – 9:30 pm 8:00 am – 10:30 pm

Economizer Mix Set Temperature 13°C N/A

Minimum Outdoor Air Supply 2 ACH 100% Outdoor Air

Heating Daytime Set Point

Temperature

21°C Air Temp. 21°C Operative Temp.

Nighttime Set Point

Temperature

15°C Air Temp. 15°C Operative Temp.

Simulated values

*without lighting or plug-loads

*

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Building Understanding

7

Current Thermal Comfort Level

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Base Case Thermal Comfort Level

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Interventions

9

Intervention Affected Area

1 Operable Windows on Façade Façade

2 Improve Window Quality Façade

3 Exhaust Heat Recovery Whole Building

4 Light Redirection Façade

5 Lighting Controls Whole Building

6 Light bulb Retrofit Whole Building

7 Separate Conditioning from Ventilation

System

Whole Building

8 Insulation Enhancement Façade

9 Increase Window Area Façade

10 Internal Skylight Shading Cafeteria Atrium

11 Instant Hot Water Heaters Core

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Intervention Evaluation

10

Intervention Energy Savings Cost Comfort Complexity/Effort Recommended

Operable Windows on

Façade

Small Reduction Medium + Low 1

Improve Window Quality Small Reduction Medium + Low 2

Exhaust Heat Recovery Significant Savings Medium 0 High 3

Light Redirection No Savings Low 0/+ Low 5

Lighting Controls Savings Low 0 Low 4

Light bulb Retrofit Savings Low 0/+ Low 4

Separate Conditioning from

Ventilation System

Significant High + Medium 1

Insulation Enhancement   Medium + Medium 2

Increase Window Area on

North Façade

+ High + High 5

Evaluation Matrix – Façade Affected Interventions

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Recommendations

11

NE01 Building Upgrade Strategy:

1. Building-Wide Ventilation: Split HVAC with Natural Ventilation

2. Façade Improvements

3. Integration of Heat Recovery in Ventilation System

4. Lighting Upgrades

5. Additional Interventions

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Recommendations

12

1. Building-Wide Ventilation: Separation and Natural Ventilation

• Radiative conditioning system

• Dedicated outdoor air ventilation system (driven by air quality not heating)

• Natural Ventilation through installation of operable windows along facade

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Night Flushing Effect – Transsolar Office

Effect of opening windows

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Recommendations

14

Thermal Comfort Level With Split HVAC and Natural Ventilation (incl. nighttime flushing)

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Recommendations

15

2. Façade Improvements

• Double Glazed Windows with High Quality Frame

• Internal Insulation Addition

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Recommendations

16

3. Integration of Heat Recovery in Ventilation System

• Heat Recovery Installation in Central Air Handling Units

• Unit-by-Unit Investigation to determine best heat recovery solution

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Recommendations

17

Final Thermal Comfort Level

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Recommendations

18

4. Lighting Improvements

• LED Lighting in common spaces (bathrooms, corridors, etc.)

• Occupation and Daylight controls in common spaces

• Vacancy controls in offices and classrooms

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5. Additional Interventions

• Natural ventilation and shading in cafeteria atrium space

• Replacement of hot water systems for bathrooms with electrical instantaneous hot water heaters

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Recommendations

20

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Recommendations

21

Energy Reduction Potential

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Thermal Simulation Weather Data Validation

22