1. Inn at Otter Crest Progress Presentation by Osman Kucuk & Andrey Volodkin
Team Members: Natalie Sherwood, Kevin Murray, Lee Han, Huy Tran, Aziz A.

2. Intro – Otter Crest Group
Reminder; Goal: Cut down on electricity bill. Success!: 20% reduction in energy bill with a 6-year payback.

3. Agenda Incentives Inverse Modeling
Heating - Heat Pump Selection and Paybacks
Behavior Analysis
Lighting - Selection and Paybacks

4. Incentives – Utility District and BPA
Heat Pumps: Ductless Heat Pumps: $1000 rebate Heat Pumps: Incentive to replace baseboard heaters is $500 From BPA: Ductless Heat Pumps in Commercial Buildings, $250.00/ton (~5 ton for our project)

5. Incentives – Utility District and BPA
On Water Heaters: Up to $100 depending on efficiency and capacity (gallons) On Heat Pump Water Heaters: gallon units: $500 Greater than 75 gallons: $1,000

6. Incentives – Utility District and BPA
Web-Enabled Programmable Thermostats: $ $800.00/unit Custom: BPA has other incentives. If we can make a good case of savings, BPA will incentivize. Lighting: Up to $500.

8. Inverse Modeling
Done to create a baseline model that we can compare energy savings with proposed retrofits.
Hurdles with conventional simulation include; Developing a detailed building model, assumptions about building parameters, operating practices and system performance , and than then running the base and proposed models with typical weather data to estimate typical energy savings.

10. Inverse Modeling
A method of estimating energy savings from retrofitting existing building.
Simulation Model.
Modified Model.
Running of Proposed Model to Obtain Energy Savings.

11. Inverse Modeling Simulation Model Actual Weather Data
Actual Energy Use Data

12. Inverse Modeling Simulation Model 𝐻𝑆 𝑃 𝐻𝑆 𝐶 = 𝜂 𝐶 𝜂 𝑃
𝐸= 𝐸 𝑖 +𝐻𝑆 ( 𝑇 𝑏,𝐻 − 𝑇 𝑂𝐴 ) +
𝐻𝑆 𝑃 𝐻𝑆 𝐶 = 𝜂 𝐶 𝜂 𝑃
𝑃 - proposed
𝐶 – current
𝑇 𝑏,𝐻 - heating change base T (F)
𝑇 𝑂𝐴 - outdoor air T (F)

13. Inverse Modeling Regression Equation Output from MatLab
𝐸 𝐻 =𝛼+𝛽 ( 𝑇 𝑏,𝐻 − 𝑇 𝑂𝐴 ) +
𝛼 - Base level consumption
𝛽 - Heating Slop
𝑇 𝑏,𝐻 - reference temperature (Balance point temp)
Output from MatLab
𝑅 2 =0.8949
𝛼 =3926 𝑘𝑊ℎ 𝑚𝑜𝑛𝑡ℎ
𝛽= 𝑘𝑊ℎ 𝑚𝑜𝑛𝑡ℎ °𝐅
𝑇 𝐵,𝐻 =57 °𝐅

14. Inverse Modeling Modified Model 𝐸 𝑃 = 𝐸 𝑖 + 𝐻𝑆 𝑃 ( 𝑇 𝑏,𝐻 − 𝑇 𝑇𝑀𝑌 ) +
𝐸 𝑃 = 𝐸 𝑖 + 𝐻𝑆 𝑃 ( 𝑇 𝑏,𝐻 − 𝑇 𝑇𝑀𝑌 ) +
𝐻𝑆 𝑃 = 𝐻𝑆 𝐶 𝜂 𝐶 𝜂 𝑃
𝐸 𝑃 - Energy Consumption Proposed kWh/month
𝑇 𝑇𝑀𝑌 - typical meteorological year
A typical meteorological year is a
collation of selected weather data for a
specific location, generated from a data
bank much longer than a year in
duration.

15. Inverse Modeling 𝐸 𝑆𝑎𝑣𝑖𝑛𝑔𝑠 = [ 𝐻𝑆 𝐵𝑎𝑠𝑒 𝑇 𝑏,𝐻 − 𝑇 𝑂𝐴 − 𝐻𝑆 𝑃𝑟𝑜𝑝𝑜𝑠𝑒𝑑 ( 𝑇 𝑏,𝐻 − 𝑇 𝑇𝑀𝑌 )]

16. Lighting Research
CFL VS LED LIGHTS LED Advantages Over CFL Energy savings For the same amount of light LED uses 7-8 WATTS CFL uses WATTS LED is not prone to on/off cycle LED has 5x longer life Payback in ~ 4 years

17. Heat Pump Selection and Paybacks

18. Heat Pump Selection and Paybacks
Assumptions:
10 cents/kwh
$4800 Capital Costs Installation and Incentives not included
Refining Heating Load Calcs
HP can serve up to 16 zones

19. Heat Pump Selection and Paybacks

20. Behavior Analysis
Done to understand how and when residents use energy/electricity.
Use is important in the evaluation of the the energy model. We want to know what assumptions we are making regarding occupancy and other factors when we are using energy consumption in our data analysis.

21. Ratio (Hotel/Resident) Average Days occupied Per Year
Behavior Analysis
Buildings
# of Hotels
# resident + Timeshare
Ratio (Hotel/Resident)
Average Days occupied Per Year
2014 Total kWh K 16
0.00
246
78880 B 2 14
0.13
201
61120
H&G
233
78720
O&P
167
66960 F 4 12
0.25
264
96640
R&Q
169
61680 V 6
176
30080 I 5
0.29
213
70480 A 11
0.31
145
63280 M 10
0.38
121
64080 U
189
74720 N
0.50
33840
S&T 8
186
64480
Y&Z
130
62080 AA 3
183
41920
W&X 9 7
0.56
106
66400 C
0.63
129
78800 J
180
64400 L
0.75
110
27520
D&E 13
0.81
196
73680
Hotel/Resident
Ratio
Residential:
Mixed:
0.25 – 0.50
Hotel/Commercial:

22. Behavior Analysis

23. Energy Use vs Occupancy

24. Energy Use vs Occupancy

25. Scrapped Ideas
No envelope remodeling – renovation was done recently, our proposed renovation will not have a 6-year payback.

26. Next Steps Finish Web Enabled Programmable Thermostat Research
Complete Cost Analysis

27. Questions