This section presents the practical calculation of the number of ventilation air exchanges using the short measurement method for an existing multi-family building. The analyzes were carried out using archival materials and the analysis covered the days for which complete measurement data was required.
Nomenclature in the formulas is presented in the first part.
The object for the analysis is a thirty-year multi-family building. Building located in 3 climatic zone, with basement. The total number of dwellings in this building is 30, and the number of residents – 82 people. Exact details of the building being analyzed are provided in [1].
The building is supplied with heat from the district heating network through a double-function, exchanging, compact heat distribution node located in the cellar of the building. The heat node is a two-stage switch adapted for central heating and hot water supply. In heated rooms there are no heating cost allocators or other devices that allow you to determine the amount of heat consumed for heating the rooms.
In order to verify the method there were determined heat loss coefficients for the building
The method check was performed by calculating the average monthly required power of the node on the basis of
The average daily values of the used measurements for the group of 20 days accepted for analysis were presented in Table 1.
Day |
|
|
|
|
|
|
---|---|---|---|---|---|---|
°C | kW | kW | °C | |||
13.02.2012 | −10.6 | 59.84 | 5.66 | 0.99 | 0.94 | −6.63 |
24.02.2012 | 5.24 | 27.67 | 3.37 | 0.97 | 0.91 | 5.167 |
17.02.2012 | −0.5 | 36.40 | 5.49 | 0.98 | 0.92 | 0.95 |
14.02.2012 | −5.0 | 45.57 | 7.20 | 0.98 | 0.93 | −3.16 |
9.02.2012 | −10.4 | 56.31 | 3.88 | 0.99 | 0.93 | −6.15 |
23.02.2012 | 4.58 | 29.79 | 3.41 | 0.97 | 0.91 | 4.71 |
8.02.2016 | −10.9 | 55.57 | 7.22 | 0.99 | 0.94 | −6.28 |
15.02.2012 | −2.2 | 42.74 | 6.35 | 0.975 | 0.92 | −0.69 |
10.02.2016 | −12.3 | 57.69 | 13.42 | 0.99 | 0.95 | −7.02 |
12.03.2012 | 3.8 | 28.34 | 3.22 | 0.98 | 0.91 | 6.15 |
7.02.2012 | −10.6 | 59.84 | 5.48 | 0.99 | 0.94 | −6.63 |
22.02.2012 | 3.43 | 32.61 | 5.84 | 0.97 | 0.95 | 3.83 |
27.032012 | −2.2 | 40.28 | 10.12 | 0.975 | 0.92 | −0.51 |
6.02.2012 | −13.98 | 63.59 | 7.42 | 0.99 | 0.95 | −7.78 |
16.02.2012 | −2.9 | 42.46 | 7.66 | 0.97 | 0.92 | −0.25 |
11.02.2012 | −12.9 | 60.30 | 10.20 | 0.99 | 0.95 | −7.38 |
15.03.2012 | 4.9 | 26.34 | 9.70 | 0.95 | 0.91 | 6.29 |
20.02.2012 | 0.7 | 34.88 | 8.95 | 0.97 | 0.91 | 3.90 |
21.02.2012 | 2.06 | 38.08 | 15.39 | 0.96 | 0.91 | 2.77 |
26.02.2012 | 4.83 | 38.47 | 10.29 | 0.97 | 0.91 | 4.97 |
When omitted in generalized balance equation the arrangement (12 – part 1)
Day |
|
|
|
|
|
---|---|---|---|---|---|
°C | kW | kW | °C | W/K | |
13.02.2012 | −10.6 | 59.84 | 5.66 | −6.63 | 2.35 |
24.02.2012 | 5.24 | 27.67 | 3.37 | 5.167 | 2.39 |
17.02.2012 | −0.5 | 36.40 | 5.49 | 0.95 | 2.41 |
14.02.2012 | −5.0 | 45.57 | 7.20 | −3.16 | 2.44 |
9.02.2012 | −10.4 | 56.31 | 3.88 | −6.15 | 2.44 |
23.02.2012 | 4.58 | 29.79 | 3.41 | 4.71 | 2.45 |
8.02.2016 | −10.9 | 55.57 | 7.22 | −6.28 | 2.53 |
15.02.2012 | −2.2 | 42.74 | 6.35 | −0.69 | 2.54 |
10.02.2016 | −12.3 | 57.69 | 13.42 | −7.02 | 2.58 |
12.03.2012 | 3.8 | 28.34 | 3.22 | 6.15 | 2.60 |
7.02.2012 | −10.6 | 59.84 | 5.48 | −6.63 | 2.58 |
22.02.2012 | 3.43 | 32.61 | 5.84 | 3.83 | 2.62 |
27.032012 | −2.2 | 40.28 | 10.12 | −0.51 | 2.63 |
6.02.2012 | −13.98 | 63.59 | 7.42 | −7.78 | 2.69 |
16.02.2012 | −2.9 | 42.46 | 7.66 | −0.25 | 2.64 |
11.02.2012 | −12.9 | 60.30 | 10.20 | −7.38 | 2.72 |
15.03.2012 | 4.9 | 26.34 | 9.70 | 6.29 | 2.93 |
20.02.2012 | 0.7 | 34.88 | 8.95 | 3.90 | 2.95 |
21.02.2012 | 2.06 | 38.08 | 15.39 | 2.77 | 3.28 |
26.02.2012 | 4.83 | 38.47 | 10.29 | 4.97 | 3.66 |
The order of days accepted in Tables 1, 2, 3 is related to the increasing value of the coefficient
Days for which high values
Inserting
Day |
|
|
|
|
|
---|---|---|---|---|---|
°C | kW | kW | °C | kW | |
13.02.2012 | −10.6 | 59.84 | 5.66 | −6.63 | 14.9 |
24.02.2012 | 5.24 | 27.67 | 3.37 | 5.167 | 10.3 |
17.02.2012 | −0.5 | 36.40 | 5.49 | 0.95 | 11.2 |
14.02.2012 | −5.0 | 45.57 | 7.20 | −3.16 | 11.5 |
9.02.2012 | −10.4 | 56.31 | 3.88 | −6.15 | 11.4 |
23.02.2012 | 4.58 | 29.79 | 3.41 | 4.71 | 9.5 |
8.02.2016 | −10.9 | 55.57 | 7.22 | −6.28 | 9.1 |
15.02.2012 | −2.2 | 42.74 | 6.35 | −0.69 | 8.5 |
10.02.2016 | −12.3 | 57.69 | 13.42 | −7.02 | 8.5 |
12.03.2012 | 3.8 | 28.34 | 3.22 | 6.15 | 7.2 |
7.02.2012 | −10.6 | 59.84 | 5.48 | −6.63 | 7.7 |
22.02.2012 | 3.43 | 32.61 | 5.84 | 3.83 | 6.9 |
27.032012 | −2.2 | 40.28 | 10.12 | −0.51 | 6.6 |
6.02.2012 | −13.98 | 63.59 | 7.42 | −7.78 | 5.2 |
16.02.2012 | −2.9 | 42.46 | 7.66 | −0.25 | 6.3 |
11.02.2012 | −12.9 | 60.30 | 10.20 | −7.38 | 4.6 |
15.03.2012 | 4.9 | 26.34 | 9.70 | 6.29 | 2.6 |
20.02.2012 | 0.7 | 34.88 | 8.95 | 3.90 | 1.5 |
21.02.2012 | 2.06 | 38.08 | 15.39 | 2.77 | −4.5 |
26.02.2012 | 4.83 | 38.47 | 10.29 | 4.97 | −5.9 |
On the basis of the determined values
Day | day number |
|
|
|
|
|
|
---|---|---|---|---|---|---|---|
°C | kW | kW | °C | ||||
8.02.2016 | 1 | −10.9 | 55.57 | 7.22 | 0.99 | 0.94 | −6.28 |
15.02.2012 | 2 | −2.2 | 42.74 | 6.35 | 0.975 | 0.92 | −0.69 |
10.02.2016 | 3 | −12.3 | 57.69 | 13.42 | 0.99 | 0.95 | −7.02 |
12.03.2012 | 4 | 3.8 | 28.34 | 3.22 | 0.98 | 0.91 | 6.15 |
7.02.2012 | 5 | −10.6 | 59.84 | 5.48 | 0.99 | 0.94 | −6.63 |
22.02.2012 | 6 | 3.43 | 32.61 | 5.84 | 0.97 | 0.91 | 3.83 |
27.032012 | 7 | −2.2 | 40.28 | 10.12 | 0.975 | 0.92 | −0.51 |
6.02.2012 | 8 | −13.98 | 63.59 | 7.42 | 0.99 | 0.95 | −7.78 |
16.02.2012 | 9 | −2.9 | 42.46 | 7.66 | 0.97 | 0.92 | −0.25 |
11.02.2012 | 10 | −12.9 | 60.30 | 10.20 | 0.99 | 0.95 | −7.38 |
The expected value of internal gains
Daily average heat gains significantly different from expected are due to the conditions of use of the building deviating from the average. One of the conditions of success of the method is to meet the appropriate measurement conditions. These conditions have already been mentioned. It should be emphasized that it is important to include days without rain and snow and with moderate winds. If during the minimum number of days there is rain, snow or intense wind, the measuring line should be extended by the appropriate number of days. As measurement days it should also be avoided very cloudy days and days with moderate outside temperature (not higher than 5(7)°C, as an average daily temperature) and at the same time very sunny days which would be accompanied by significant overheating of rooms and / or opening of windows by residents. Generally, however, the more intense solar radiation occurs in the days preceding the measurement day, and yet on this day – but without causing significant overheating of rooms with closed windows – the greater the difference between
On the days of measurement and at least one day before, the internal air temperature in the heated rooms should be constant. The deviation from the stabilized temperature should not exceed 0.5°C. When measuring the windows in the building and the entrance door should be closed. All automatic air diffusers should be open. If the windows are equipped with fittings with micro ventilation, the window handles should be set to this function. In the absence of automatic diffusers it is acceptable to periodically aerate the space with a duration of up to 10 minutes and a frequency not exceeding 8 hours. Compliance with these conditions affects the accuracy of the method presented.
For proper determining of coefficient
Estimated values of average daily heat yields diverging from expectations suggest that these conditions are exceeded. Days of exceeding can not be included in the analysis of determining the building’s heat loss coefficients and the number of air exchanges.
Accepting once more
By subtracting one another from the next pair of equations (pairing equations of similar values and differing by several degrees), to obtain a positive value of the difference, we obtain: 1., 2. 3., 4. 5., 6. 7., 8. 9., 10.
The solution of this redundant arrangement in regard to
After inserting the resulting value into (13 – part 1) using a 10-day group and taking into account
The solution of this redundant system in regard to
Substituting these values into the arrangement (20 – part 1 ), taking into account
The solution of this arrangement are the following values of heat loss coefficients:
The value of
For the corrected efficiencies
Day
day number
°C
kW
kW
°C
8.02.2016
1
−10.9
55.57
7.22
0.99
0.96
−6.28
15.02.2012
2
−2.2
42.74
6.35
0.975
0.94
−0.69
10.02.2016
3
−12.3
57.69
13.42
0.99
0.96
−7.02
12.03.2012
4
3.8
28.34
3.22
0.98
0.93
6.15
7.02.2012
5
−10.6
59.84
5.48
0.99
0.96
−6.63
22.02.2012
6
3.43
32.61
5.84
0.97
0.93
3.83
27.032012
7
−2.2
40.28
10.12
0.975
0.94
−0.51
6.02.2012
8
−13.98
63.59
7.42
0.99
0.96
−7.78
16.02.2012
9
−2.9
42.46
7.66
0.97
0.94
−0.25
11.02.2012
10
−12.9
60.30
10.20
0.99
0.96
−7.38
The value of
Designated
A positive value would mean an increasing average number of air exchanges with an increase in the average temperature
The coefficient
The coefficient
These dependencies refer to the turbulent air flow in the ventilation system components.
In the case of transitional air flow, the result is:
For example, for
For the considered conditions
In the case of value
In order to initially verify the method the average monthly heat consumption streams for the three months (February 2012, January 2013 and February 2013) in the considered building on the basis of the results obtained for determination of heat loss coefficients. Designated monthly streams of heat consumption were compared with the results of the heat consumption measurements for central heating in the considered building. In the verification the inclusion of these months was related to the availability of measured data. Monthly average heat consumption stream for installation c.o. can be generally expressed as:
The values
The data for the months included in the verification are given in Tables 6 and 7.
Month |
|
|
|
|
|
|
---|---|---|---|---|---|---|
°C | °C | kW/K | kW/K | kW/K | kW/K | |
Monthly average for February, 2012 | −5.0 | 7.5 | 2.26 | 0.57 | 0.29 | 1.94 |
Monthly average for January, 2013 | −0.99 | 7.9 | 2.26 | 0.57 | 0.33 | 1.98 |
Monthly average for February, 2013 | 1.38 | 8.0 | 2.26 | 0.57 | 0.37 | 2.02 |
Month |
|
|
|
|
|
|
|
|
|
---|---|---|---|---|---|---|---|---|---|
°C | kW/K | kW/K | kW/K | kW/K2 | kW | kW | |||
Monthly average for February, 2012 | −5.0 | 46.94 | 0.32 | 8.0 | −0.00152 | 7.0 | 7.71 | 0.99 | 0.94 |
Monthly average for January, 2013 | −0.99 | 39.80 | 0.32 | 6.7 | −0.00152 | 7.0 | 3.21 | 0.99 | 0.93 |
Monthly average for February, 2013 | 1.38 | 36.23 | 0.32 | 6.0 | −0.00152 | 7.0 | 4.43 | 0.98 | 0.93 |
Table 6 presents the values of coefficients
The monthly (for February 2012, January 2013 and February 2013) average power of the heat distribution node working in the analyzed building determined on the basis of the values determined by the method of multiple measurements for the months analyzed is: The relative divergence of the monthly (for February 2012, January 2013 and February 2013) average power of the heat distribution node working in the analyzed building is:
The relative divergence of the monthly (for February 2012, January 2013 and February 2013) average power of the heat distribution node working in the analyzed building is:
Taking into account in the building’s heat balance the average monthly flow of heat gains from solar radiation through the non-transparent partitions it can be written:
The differences in calculated and measured values disclosed in the analysis are the result of the simultaneous influence of many factors. The most important are: the inaccuracy of thermal efficiency prediction of node and central heating installation and the efficiency of using internal heat gains, deviations of the actual average temperature of heated rooms from assumed in the calculation, variation of internal gains for individual measurement days, the inaccuracy of the received measurements of the amount of solar radiation due to about 10 km distance of the measuring station from the considered building, some inaccuracies in the measurement of the amount of heat taken from the heating network by the heating node: the standard measuring equipment of the nodes was used for the measurements, the difficulty in precise establishing for any day of the year the degree of utilization of heat gains from solar radiation in the heat balance of the building for the day being considered (from 0 h to 24 h) and some of gains that come from the gains from the previous day.
These mentioned and other deviations were related to the lack of control of the building’s exploitation during the measured days. The measured values of these days were archival values. The basic criterion for selecting these days was the completeness of the required measurement data. Therefore, it may be assumed that the days taken into account did not fully meet the required conditions. The major disadvantage of the data measured such way was the lack of information on the use of the building on the days of measurement. This concerns the actions of the occupants such as: time spent in building (long-term or short or full absence in the apartment during the measuring days) intensity of ventilation of the apartments (long-term windows opening or short-term half-opening), indoor temperature (constant, variable, normal or reduced), type and intensity of activities (typical or unusual). Any deviation from the average of these operating characteristics, covered by lack of knowledge, was failing to meet the required conditions for proper use of the method and was a significant impediment to proper use of this method.
The publication presents the original method of multiple daily measurements for determining the values allowing to designate the building’s thermal characteristics. The multiple daily measurement method allows to specify the following main values: total heat loss coefficient