Heat loss

Comparison of measured heat loss with predictions by Octopus and my heat model

Calculation of heat losses from temperature and power data:

DateOutside °CLounge
W   °C   W/°C
Dining area
W   °C   W/°C
Back room
W   °C   W/°C
Study
W   °C   W/°C
Jan 211.21173 17.0 1171 17.01132 18.6373 16.3
Jan 22-0.51190 16.81240 16.51279 18.4447 16.3
Jan 230.21089 16.7

1190 16.6

1090 17.7432 16.1
Jan 242.8996 16.61019 16.11062 18.3370 16.2
Jan 253.31073 16.31129 16.11204 19.3518 16.4
Jan 264.71032 16.7835 16.6902 19.3385 17.0
Jan 274.4989 17.0710 17.2848 18.6307 16.6
Jan 284.81069 16.7813 16.51047 19.0362 16.8
Jan 306.41056 18.1560 18.1943 20.1181 17.8
Feb 16.5835 17.3454 17.21139 19.1187 16.1
Average3.381050 16.92 77.5912 16.79 68.01065 18.84 68.9356 16.56 27.0

For a design outside temperature of -2.2°C and design room temperatures of 21°C (lounge, dining area, back room, study, bathroom, hall) and 18°C (bedrooms, kitchen) we get the following losses, compared with predicted losses from my model and from Octopus. Note the use of 21°C as the hall design temperature - this is so that the hall radiator can assist with lounge and study heating.

RoomHeat loss - measured WHeat loss - Octopus W

Heat loss - model W
All rooms heated

Heat loss - model W
Main rooms heated
Lounge1798-19622872
Dining area1578-631687
Lounge + dining area3376199325933559
Back room1598 (1262)11349071178
Study626270573596
Hall-352718-
Bathroom-396353-
Front bedroom-687228-
Back bedroom-493200-
Total5600 (5264)532555705332

I think the measured back room heat loss has been distorted by turning up the setpoint during the GO cheap rate period. I've attempted to compensate for this, producing the figures in parentheses.

Concrete floor

There seem to be two approaches to calculating heat losses through a floor in contact with the ground.

First approach

The first approach assumes that the ground temperature is constant throughout the year, but otherwise treats the floor like any other external surface. MCS takes this approach (see document MIS-3005-D section 5.5.1):

When calculating the heat loss through a solid floor in contact with the ground, the temperature difference to be used is the internal design room temperature (Table 1) minus the local annual average external air temperature (see MGD 007 Section 5)."

For here, "South-eastern (Gatwick)" the relevant temperature is 10.2°C, or maybe "Southern (Hum)" at 10.4°C.

Concrete (as used for floors) has a conductivity of about 1.35 W/mK (see Tables of U-values and thermal conductivity Table 6.A.18). Our floor is probably 100mm thick (see Evolution of Building Elements - 3 Ground Floors), so it would have a U-value of 1.35/0.1 = 13.5 W/m²K.

For example, the lounge (excluding the dining area) has an area of 9.8m². The heat loss at the design temperatures would be 9.8*13.5*(21-10.4) = 1402W.

The lounge floor has 8mm thick wood flooring on top of the concrete. Wood has a conductivity of about 0.14 W/mK, so the wood flooring will have a U-value of about 0.18/0.008 = 22.5 W/m²K. Together, the concrete and wood will have a U-value of about 1/(1/13.5+1/22.5) = 8.4 W/m²K. So the  wood flooring will reduce the heat loss to 9.8*8.4*(21-10.4) = 873W.

Second approach

The second approach assumes that heat loss is primarily via the periphery of the floor and a short path through the ground. In this case, the temperature difference would be relative to the design air temperature of -2.2°C. A simplified formula for an uninsulated floor (see U-Values, building regulations and insulation) is:

U = 0.05 + 1.65(P/A) – 0.6(P/A)²
Where:
U = U-Value of the uninsulated floor (W/m²K).
P = Length of the exposed perimeter (m).
A = Area of the floor (m²)

For example, the lounge (excluding the dining area) has an area of 9.8m² and an exposed perimeter of 6.2m. P/A is 6.2/9.8 = 0.63, and U is 0.05 + 1.65*0.63 – 0.6*0.63² = 0.85. Heat loss through the lounge floor at the design temperatures would then be 9.8*0.85*(21+1.2) = 184W.

Model approach

In my model I've taken the first approach, mainly because it's easier to apply (no need for exposed perimeter data), but also because MCS use.

However, the U-value as calculated above seems to produce losses that are too high, so I've experimented to get a U-value that produces heat losses similar to the measured ones.