Abstract
The hourly profile of domestic hot water (DHW) is required for system sizing and
energy simulations. This paper addresses the hourly DHW profiles for Finnish
apartment buildings. The hourly consumption of 191 occupant during one year data
were processed. Hourly profile for August, November and January had similar
consumption pattern and monthly variation of consumption were also illustrated.
Higher variation of consumption was noticed during peak hours and 90% of
consumption variation were in between the range of 0-20 L/per./hour. The average
consumption during peak and non-peak hours were 3.6 and 1.5 L/per./hour
respectively. To understand the effect of the number of occupants on hourly peaks five
profiles were drawn for one person, 3 people, 10 people, 31 people and 191 people
group. All profiles followed similar DHW consumption pattern and a specific
selection procedure was applied for a number of good candidates in order to select
the most representative real consumption data based profile for each group. The
results revealed higher evening peaks compare to morning peak and smaller groups
had a higher peak consumption values compared to large groups. The obtained
profiles accompanied by scaling factor can be used with monthly consumption factor
of DHW to deliver the hourly profile for any month. Average DHW ratio was 0.31 and
varied from 0.10 to 0.39, but was not sensitive to hourly consumption.
energy simulations. This paper addresses the hourly DHW profiles for Finnish
apartment buildings. The hourly consumption of 191 occupant during one year data
were processed. Hourly profile for August, November and January had similar
consumption pattern and monthly variation of consumption were also illustrated.
Higher variation of consumption was noticed during peak hours and 90% of
consumption variation were in between the range of 0-20 L/per./hour. The average
consumption during peak and non-peak hours were 3.6 and 1.5 L/per./hour
respectively. To understand the effect of the number of occupants on hourly peaks five
profiles were drawn for one person, 3 people, 10 people, 31 people and 191 people
group. All profiles followed similar DHW consumption pattern and a specific
selection procedure was applied for a number of good candidates in order to select
the most representative real consumption data based profile for each group. The
results revealed higher evening peaks compare to morning peak and smaller groups
had a higher peak consumption values compared to large groups. The obtained
profiles accompanied by scaling factor can be used with monthly consumption factor
of DHW to deliver the hourly profile for any month. Average DHW ratio was 0.31 and
varied from 0.10 to 0.39, but was not sensitive to hourly consumption.
| Original language | English |
|---|---|
| Title of host publication | CLIMA 2016 - proceedings of the 12th REHVA World Congress |
| Editors | Per Kvols Heiselberg |
| Place of Publication | Aalborg |
| Publisher | Aalborg University |
| Number of pages | 10 |
| Volume | 3 |
| ISBN (Electronic) | 87-91606-28-4, 87-91606-36-5 |
| Publication status | Published - 2016 |
| MoE publication type | A4 Conference publication |
| Event | International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings - Aalborg, Denmark Duration: 22 May 2016 → 25 May 2016 |
Conference
| Conference | International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings |
|---|---|
| Abbreviated title | IAQVEC |
| Country/Territory | Denmark |
| City | Aalborg |
| Period | 22/05/2016 → 25/05/2016 |
Keywords
- domestic hot water
- DHW ratio
- hourly profile