When designing a passive house, the PHPP (Passivhaus Planning Package) software is used to calculate the electricity balance. The first step is to calculate the electricity requirement in the house including all household appliances and lighting. In order to achieve the Passivhaus Standard it is necessary to specify refrigerators, freezers, cookers, artificial lighting, washing machines, tumble dryers, etc. with the highest energy efficiency available on the market (i.e. category ‘A’ energy rating or better). The second step is calculating the auxiliary electricity requirement, in which electricity consumption is specified for mechanical ventilation system fans and controls, DHW circulation pumps, and any other present in the dwelling. The calculation results are presented in primary energy kWh/(m2a) and included in the PHPP ‘Verification page’.
In order to reduce the impact of electricity demand, electricity can also be produced on site, e.g. through PV, CHP (Combined Heat and Power, i.e. a generator that also produces heat, or a boiler, that produces electricity), wind power or micro hydro power. Out of these, PV is the easiest and most common to be installed on an average dwelling. At the very least, the circulation pump of the solar thermal system (if you have one) should be driven by it; if there is enough sun for the thermal collectors to work, there is also enough to feed the PV panel(s) to drive the pump.
This example shows how much yield one can expect from a 1kWpeak PV installation in Edinburgh, facing due south (no shading), either fixed with the optimal inclination (for Edinburgh) of 38, or with a 2-axis tracking system. In this case you can see, that the elaborate tracking of the sun would only increase the yield by approx. a quarter; so it might not financially viable to go to the expense for such a device (rather add one more panel – this has also the benefit of less maintenance). Estimated system losses are 14%.
| Inclination 38º | 2-axis tracking system | |||
| Month | Production per month (kWh) | Production per day (kWh) | Production per month (kWh) | Production per day (kWh) |
| Jan | 24 | 0.8 | 30 | 1.0 |
| Feb | 40 | 1.4 | 49 | 1.7 |
| Mar | 69 | 2.2 | 85 | 2.7 |
| Apr | 91 | 3.0 | 118 | 3.9 |
| May | 109 | 3.5 | 146 | 4.7 |
| Jun | 103 | 3.4 | 138 | 4.6 |
| Jul | 106 | 3.4 | 141 | 4.5 |
| Aug | 92 | 3.0 | 115 | 3.7 |
| Sep | 72 | 2.4 | 89 | 3.0 |
| Oct | 47 | 1.5 | 57 | 1.8 |
| Nov | 30 | 1.0 | 38 | 1.3 |
| Dec | 16 | 0.5 | 20 | 0.6 |
| Yearly average | 67 | 2.2 | 85 | 2.8 |
| Total yearly production (kWh) | 801 | 1026 | ||
Below is the result for the same installation in Aberdeen. Because it is situated further north, the ideal inclination is increased to 40º:
| Inclination 40º | 2-axis tracking system | |||
| Month | Production per month (kWh) | Production per day (kWh) | Production per month (kWh) | Production per day (kWh) |
| Jan | 25 | 0.8 | 31 | 1.0 |
| Feb | 41 | 1.5 | 51 | 1.8 |
| Mar | 75 | 2.4 | 93 | 3.0 |
| Apr | 93 | 3.1 | 121 | 4.0 |
| May | 111 | 3.6 | 152 | 4.9 |
| Jun | 1.5 | 3.5 | 145 | 4.8 |
| Jul | 1.6 | 3.4 | 142 | 4.6 |
| Aug | 94 | 3.0 | 119 | 3.8 |
| Sep | 75 | 2.5 | 94 | 3.1 |
| Oct | 51 | 1.7 | 63 | 2.0 |
| Nov | 29 | 1.0 | 36 | 1.2 |
| Dec | 15 | 0.5 | 18 | 0.6 |
| Yearly average | 68 |
2.2 |
89 | 2.9 |
| Total yearly production (kWh) | 819 | 1065 | ||
Primary energy, in kWh/year:
This includes delivered energy, plus an allowance for the energy “overhead” incurred in extracting, processing and transporting a fuel or other energy carrier to the dwelling. For example, in the case of electricity it takes account of generation efficiency at power stations.
Delivered energy, in kWh/year:
This corresponds to the energy consumption that would normally appear on the energy bills of the dwelling for the assumed standardised occupancy and end-uses considered.
Source: SEI, Dwelling Energy Assessment Procedure (DEAP), 2005 version 2, pp. 28.