Heat Loss and Heat Gain Are Not Mirror Images: One Formula, Two Input Sets
Both calculations use conduction through the same envelope, but they differ in design conditions and load drivers. Winter loads are dominated by a large temperature difference; summer loads add solar gains, internal gains, and latent moisture that heating never credits.
Conduction in either season follows the same structure: each envelope component contributes a load proportional to its U-value, its area, and the applicable temperature difference. What changes is the difference itself and which additional drivers apply. A winter calculation works from an indoor setpoint against an outdoor winter design temperature, with no credit for sunlight warming the house or for heat from people and appliances, since those reduce the heating requirement. A summer calculation works from a much smaller indoor-outdoor difference and then adds the drivers heating ignored.
Treat this as a bookkeeping discipline before it is a physics problem. Build a two-column worksheet with heating and cooling side by side, list every component of the house, and label each line as heating-only, cooling-only, or both. The table below is a template for that exercise. When you later rehearse full-house runs, the discipline pays off immediately: any number that appears in both columns with identical inputs is a signal you have copied a seasonal assumption across, and that is exactly the kind of slip worth catching in your own work.
| Load component | In heat loss? | In heat gain? | Input that changes between seasons |
|---|---|---|---|
| Opaque envelope conduction (walls, ceilings) | Yes | Yes | Temperature difference is much larger in winter |
| Fenestration conduction (window and door glass) | Yes | Yes | Same temperature-difference logic |
| Solar gains through glazing | No (not credited) | Yes | Orientation, shading, and hour of peak |
| Internal gains (people, lighting, appliances) | No (not credited) | Yes | Occupancy and equipment assumptions |
| Infiltration and ventilation | Yes | Yes | Air change rate and temperature difference both differ |
| Latent moisture load | No | Yes | Humidity difference between outdoor air and indoor target |
From RSI to Watts: Composite Assemblies and the Area Errors That Distort Everything
Each component's load is its U-value times its area times the temperature difference. The U-value comes from effective RSI, which framing reduces, and the area must exclude openings. Both steps are arithmetic, and both are easy to get subtly wrong.
In Canadian practice, insulation is rated in RSI (metric) as well as R-values (imperial), and the U-value is the reciprocal of effective RSI. A cavity insulated to RSI 3.5 does not give the whole wall RSI 3.5: framing members form parallel paths with much lower insulation value, so an effective assembly RSI is computed by weighting the insulated fraction against the framing fraction. In an illustrative example, RSI 3.5 in the cavities with roughly one-fifth of the wall as framing at around RSI 1 yields an effective RSI near 3.0, giving U of about 0.33 W per square metre per degree. Your course materials define the exact weighting method; the point to internalize is that the effective value is always lower than the cavity value.
Area discipline is the second trap. Gross wall area must have window and door areas subtracted before the opaque-wall U-value is applied, and the glazing is then calculated separately with its own U-value. A plausible slip is computing the gross wall load and then adding window loads on top of it, which double-counts every opening. A useful drill: take one wall elevation, list gross area, subtract openings, compute opaque load and glazing load as separate lines, and check that the two line areas sum back to the gross area. If they do not, the downstream totals are wrong no matter how careful the rest of the work is.
Infiltration Versus Ventilation: Two Different Airflows With Different Seasonal Rates
Infiltration is uncontrolled leakage through the envelope; ventilation is deliberate outdoor air brought in by design. Both add sensible load in each season, but their rates and temperature differences differ between winter and summer, so they cannot be copied across columns.
A common estimating approach for infiltration is the air change method: the sensible load is approximately the factor 0.33, times the air changes per hour, times the house volume in cubic metres, times the temperature difference, giving watts. In an illustrative run, a house of 480 cubic metres at 0.5 air changes per hour against a 46-degree winter difference produces roughly 3,600 watts of infiltration load. The two assumptions doing the work are the air change rate, which reflects how tight the envelope is, and the difference, which is the winter design condition. Both numbers belong on the worksheet line, not buried in a total.
For the cooling column, neither number carries over unchanged. The summer temperature difference is far smaller, and leakage driven by stack effect and wind behaves differently in summer conditions, so the air change rate you assume for heating is not the one to reuse for cooling. Ventilation adds a further wrinkle: deliberate outdoor air in summer arrives both warm and humid, so it contributes a latent load, moisture that must be removed, alongside the sensible load. That split matters because sensible and latent loads are handled differently downstream, which is the subject of a later section. Keep infiltration and ventilation as separate lines with season-specific assumptions.
The Below-Grade Basement: Where the Outdoor Design Temperature Does Not Apply
Below-grade walls and floors exchange heat with soil, not outdoor air, so their temperature difference is far smaller than the winter design difference. Applying the outdoor design temperature to buried surfaces inflates the load and ripples into equipment sizing.
Consider an illustrative scenario. A contractor calculates heat loss for 60 square metres of below-grade concrete basement wall as if it were an above-grade assembly: indoor 21 degrees against an outdoor winter design temperature of -25 degrees gives a difference of 46 degrees, and at a U-value of 0.5 the line reads about 1,380 watts. The plausible mistake is specific and easy to make: the contractor used the coldest air temperature as the other side of a surface that is actually touching ground. The formula was applied correctly; the boundary condition was wrong.
The better decision is to use a ground temperature assumption for below-grade surfaces, since soil stays far milder than winter air. With a ground temperature assumption in the low single digits Celsius, per whatever value your course method specifies, the difference for that same wall drops to roughly 10 to 15 degrees and the load to a few hundred watts. This matters because the inflated number flows into the whole-house total and then into heating equipment size, and the error compounds across below-grade walls, slab edges, and slab floors, each of which is treated with its own basis. Label every assumption on the line so a reviewer can trace exactly which temperature each surface was compared against. All figures here are illustrative teaching numbers, not prescribed values.
Cooling Loads That Heating Never Sees: Solar, Orientation, and the Sensible-Latent Split
Summer calculations introduce drivers absent from heating: solar gains through glazing that depend on orientation and shading, internal gains from occupants and appliances, and latent load from moisture. Room peaks also occur at different hours, which affects how totals are assembled.
Worked scenario. A designer sizes a bedroom air conditioner by dividing the whole-house cooling load by floor area and lands on about 1.5 kilowatts for a west-facing bedroom. The mistake: room loads do not peak simultaneously. A west-facing room peaks in the late afternoon, when solar gain through its glazing is at its maximum, so its individual peak exceeds its share of a whole-house average. The better decision is a room-by-room calculation that applies orientation-specific solar gains and that room's internal gains at its own peak hour. It matters because an undersized room unit cannot hold setpoint on a design afternoon even when the house-wide total looked adequate.
The second scenario dimension is the sensible-latent split. Suppose a room's peak works out, illustratively, to 2 kilowatts of sensible load plus 0.5 kilowatts of latent load from moisture infiltration and occupant humidity. Adding them into a single 2.5 kilowatt figure hides the fact that part of the job is dehumidification, not just lowering air temperature, and the two components behave differently in equipment selection. Whole-house central equipment and individual room units can follow different aggregation conventions, coincident whole-house peaks in one case and individual room peaks in the other, so follow the convention your course teaches for each application and be able to state which one you used and why.
From Calculated Load to Equipment: Why the Safety Margin Does Not Go in the Calculation
The calculation produces a design load, and equipment selection is a separate, rule-governed step. Padding the calculation with personal safety factors obscures input errors and pushes toward oversizing, whose symptoms differ by season.
Keep the calculation clean: documented inputs, standard assumptions from your course method, and a component-by-component trace from every U-value, area, and temperature difference to its load line. If any margin is applied, it belongs in the selection stage under the applicable sizing practice, not folded into the load number itself. The reason is practical rather than doctrinal: a padded calculation makes a genuine input error invisible, because an inflated total can be produced either by a wrong assumption or by the margin, and you can no longer tell which. Oversizing has seasonal consequences worth being able to articulate: oversized heating equipment tends toward short cycling, while oversized cooling equipment may satisfy the thermostat quickly while removing less moisture from the air.
The corresponding habit is documentation that supports review. Rewrite any one-line total into a component table: each row names the surface or airflow, its U-value or air-change assumption, its area or volume, its temperature difference, and its resulting load, with season-specific assumptions noted beside the line. Then practise the reverse: hand a completed component table to a study partner and have them recompute any three rows independently. If their numbers differ from yours, the disagreement will sit in a specific assumption, a ground temperature, an air change rate, a subtracted window area, and that is precisely the conversation a traceable calculation is designed to make possible.
A Five-Step Practice Sequence With a Worked Exercise and Self-Check Rubric
Build fluency in layers: conversions, conduction, airflows, cooling-only drivers, then full-house runs. Close each layer by explaining one number aloud. Finish with the paper bungalow below and check your output against the rubric.
A workable sequence: week one, speed drills converting R to RSI and computing U as the reciprocal of effective RSI, including one framing-fraction weighting per assembly. Week two, conduction lines for a single room in both seasons, with openings subtracted correctly. Week three, infiltration and ventilation lines with separate winter and summer assumptions. Week four, cooling-only drivers: orientation-specific solar gains, internal gains, and a separated sensible and latent split. Week five, two complete runs of the same small house, heating and cooling, then a reconciliation step: write two or three sentences explaining why the cooling total is not simply the heating total rescaled.
The exercise: on paper, take a rectangular single-storey house, illustratively 10 by 8 metres with 2.4 metre ceilings, a given window schedule by orientation, given assembly RSIs, and a full basement. Run both calculations completely. Expected observations if you are on track: your below-grade contribution should be small relative to above-grade walls; your infiltration lines should use two different air change rates; and your cooling total should include solar and internal gains that have no heating counterpart, so the heating and cooling totals will not track the ratio of their temperature differences alone. All dimensions and assumptions are exercise scaffolding, not prescribed values.
Self-check rubric, each item a yes or no: every load line shows its U-value, area, and temperature difference explicitly; below-grade surfaces use a ground temperature basis, not the outdoor design temperature; window areas are subtracted from gross wall area before the opaque-wall calculation; winter and summer air change assumptions differ; sensible and latent cooling components are separated; and you can state, from memory, which load drivers are cooling-only. Readiness signals for the whole sequence: you can produce a composite U-value from RSI layers quickly against a self-set time goal; you can rebuild the two-column worksheet from a blank page; and you can explain in two sentences why the heating and cooling input sets differ. Treat these as learning milestones for your own tracking, not as predictions of any exam outcome.
- Every line documents U-value, area, and temperature difference, or the airflow assumption behind it
- Below-grade surfaces use ground temperature, never the winter outdoor design temperature
- Window and door areas are subtracted from gross wall area before the opaque-wall load is computed
- Winter and summer infiltration use different air change assumptions
- Sensible and latent cooling loads are separated, not merged into one kilowatt figure
- You can list the cooling-only drivers, solar gains, internal gains, latent load, without notes
References and further reading
Use these references to explore the concepts and check the latest information from the relevant organizations.
