Calculating Heating and Cooling Loads

Heating and Cooling Load Calculator: Estimate Your HVAC Needs :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.2em; } .calculator-section { margin-bottom: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .calculator-section h2 { color: var(–primary-color); 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Heating and Cooling Load Calculator

Estimate Your HVAC Load

Enter the total heated/cooled floor area.
Higher R-value means better insulation. Typical walls: 13-30, Roofs: 30-60.
Sum of all window surface areas.
Lower U-value means less heat transfer. Typical: 0.2-1.0.
Air Changes per Hour. Tighter homes have lower ACH (0.2-0.5). Older homes: 0.5-1.5+.
The typical high temperature for your region in summer.
The typical low temperature for your region in winter.
Your preferred indoor temperature in summer.
Your preferred indoor temperature in winter.

Your Estimated Loads

Heating Load: BTU/hr
Cooling Load: BTU/hr
Infiltration Load: BTU/hr
Calculations are simplified estimates based on heat transfer (conduction, convection) and air infiltration. Heating Load ≈ (Area * TempDiff * U_wall) + (WindowArea * TempDiff * U_window) + (Volume * ACH * SpecificHeat) Cooling Load ≈ (Area * TempDiff * U_wall) + (WindowArea * TempDiff * U_window) + (Volume * ACH * SpecificHeat) + SolarGain (Note: This calculator uses simplified factors and does not account for all variables like solar gain, internal heat gains, etc.)
Load Calculation Data
Metric Value Unit Notes
Building Area sq ft Heated/Cooled Floor Space
Insulation R-Value R Average wall/ceiling insulation
Window Area sq ft Total window surface
Window U-Value BTU/hr·ft²·°F Heat transfer coefficient
Air Infiltration ACH Air Changes per Hour
Summer Design Temp °F Outdoor high temp
Winter Design Temp °F Outdoor low temp
Indoor Summer Temp °F Desired indoor temp
Indoor Winter Temp °F Desired indoor temp
Heating vs. Cooling Load Comparison

What is Calculating Heating and Cooling Loads?

What is Calculating Heating and Cooling Loads?

Calculating heating and cooling loads is the process of determining the amount of thermal energy that needs to be added to or removed from a building to maintain a comfortable indoor temperature. This calculation is fundamental to selecting the right-sized HVAC (Heating, Ventilation, and Air Conditioning) system for a home or commercial space. An accurately sized system ensures optimal comfort, energy efficiency, and longevity of the equipment. Over-sizing can lead to short cycling, poor humidity control, and wasted energy, while under-sizing results in inadequate heating or cooling and strain on the system. Understanding your heating and cooling loads is the first step towards an efficient and effective HVAC solution.

This process involves analyzing various factors that influence heat gain (during cooling) and heat loss (during heating). These factors include the building's size, insulation levels, window types and sizes, air leakage (infiltration), climate conditions, and desired indoor temperatures. Professional HVAC technicians use sophisticated software and methodologies like Manual J calculations to perform these assessments, but simplified online calculators can provide a useful estimate for homeowners and preliminary planning.

Who Should Use This Calculator?

Anyone involved in HVAC system selection, replacement, or energy efficiency improvements can benefit from using a heating and cooling load calculator. This includes:

  • Homeowners planning to install a new HVAC system or replace an old one.
  • Contractors and HVAC professionals performing initial estimates.
  • Building designers and architects for preliminary system sizing.
  • Energy auditors assessing building performance.
  • Individuals looking to understand their home's energy consumption related to climate control.

Common Misconceptions

Several common misconceptions surround HVAC load calculations:

  • "Bigger is always better": Oversized systems are inefficient and can cause comfort issues.
  • "Square footage is enough": While a starting point, it ignores critical factors like insulation, windows, and climate.
  • "All homes are the same": Every building has unique characteristics affecting its thermal performance.
  • "Load calculation is a one-time event": Renovations, insulation upgrades, or window replacements can change your home's loads.

Heating and Cooling Load Formula and Mathematical Explanation

The calculation of heating and cooling loads is complex, involving multiple heat transfer mechanisms. A simplified approach, often used for estimation, considers heat loss/gain through the building envelope (walls, roof, windows, floors) and heat gain/loss due to air infiltration.

Simplified Heating Load Calculation

The primary components of heating load are heat loss through conduction and infiltration.

Heat Loss = Conduction Loss + Infiltration Loss

  • Conduction Loss: This is the heat transfer through the building materials (walls, roof, windows, etc.) due to the temperature difference between the inside and outside. The formula for conduction loss through a surface is:
    Q_conduction = U * A * ΔT Where:
    • Q_conduction is the heat loss in BTU/hr.
    • U is the overall heat transfer coefficient (inverse of R-value) for the material (BTU/hr·ft²·°F).
    • A is the surface area of the component (ft²).
    • ΔT is the temperature difference between inside and outside (°F).
    For a whole building, this is summed across all components (walls, roof, windows).
  • Infiltration Loss: This is the heat loss due to cold outside air leaking into the building and warm inside air leaking out.
    Q_infiltration = V * ACH * 0.018 * ΔT Where:
    • Q_infiltration is the heat loss in BTU/hr.
    • V is the volume of the building (ft³).
    • ACH is the Air Changes per Hour (how many times the entire volume of air in the building is replaced by outside air per hour).
    • 0.018 is a factor representing the specific heat and density of air (BTU/ft³·°F).
    • ΔT is the temperature difference between inside and outside (°F).

The total heating load is the sum of these losses, calculated using the winter design temperatures.

Simplified Cooling Load Calculation

Cooling load calculation is more complex as it includes heat gain from conduction, infiltration, solar radiation through windows and walls, and internal heat gains (from occupants, appliances, lighting). For a simplified estimate:

Cooling Load ≈ Conduction Gain + Infiltration Gain + Solar Gain (Simplified)

  • Conduction Gain: Similar to conduction loss, but heat flows inward due to the summer temperature difference.
    Q_conduction = U * A * ΔT (Using summer outdoor design temperature)
  • Infiltration Gain: Heat and moisture gain from outside air infiltration.
    Q_infiltration = V * ACH * 0.018 * ΔT (Using summer outdoor design temperature)
  • Solar Gain: Heat gain through windows due to direct sunlight. This is highly variable and often estimated using factors based on window area, orientation, and shading. For simplicity in this calculator, we'll incorporate a factor related to window area and temperature difference, acknowledging it's a simplification. A more accurate calculation would use solar heat gain coefficients (SHGC).

The total cooling load is the sum of these gains, calculated using the summer design temperatures. This calculator provides a simplified estimate, and professional calculations (like Manual J) are recommended for precise sizing.

Variables Used in Load Calculation
Variable Meaning Unit Typical Range / Notes
Building Area (A) Total heated/cooled floor space ft² 100 – 5000+
Insulation R-Value Resistance to heat flow of insulation R (hr·ft²·°F/BTU) Walls: 13-30, Roofs: 30-60
U-Value (U) Heat transfer coefficient (1/R-Value) BTU/hr·ft²·°F Walls: ~0.03-0.08, Windows: 0.2-1.0
Window Area (A_window) Total surface area of windows ft² 50 – 500+
Air Infiltration (ACH) Air Changes per Hour ACH Tight homes: 0.2-0.5, Average: 0.5-1.0, Leaky: 1.0-3.0+
Building Volume (V) Total interior air volume ft³ Calculated from Area and Ceiling Height (e.g., Area * 8ft)
Design Temperature Difference (ΔT) Difference between indoor and outdoor design temps °F Varies by climate and season
Specific Heat of Air Energy to raise air temp BTU/ft³·°F Approx. 0.018 (used in infiltration calc)

Practical Examples (Real-World Use Cases)

Example 1: Average Suburban Home

Consider a 2,000 sq ft suburban home built in the 1990s.

  • Building Area: 2,000 sq ft
  • Average Insulation R-Value: 19 (walls), 38 (attic) – we'll use an average effective R of 25 for simplicity.
  • Total Window Area: 200 sq ft
  • Average Window U-Value: 0.6
  • Air Infiltration Rate (ACH): 0.7
  • Summer Design Outdoor Temp: 95°F
  • Winter Design Outdoor Temp: 20°F
  • Desired Indoor Summer Temp: 74°F
  • Desired Indoor Winter Temp: 70°F

Inputs for Calculator: Square Footage: 2000, Insulation R-Value: 25, Window Area: 200, Window U-Value: 0.6, Infiltration Rate: 0.7, Summer Outdoor Temp: 95, Winter Outdoor Temp: 20, Indoor Summer Temp: 74, Indoor Winter Temp: 70.

Estimated Results (from calculator):

  • Heating Load: ~45,000 BTU/hr
  • Cooling Load: ~38,000 BTU/hr
  • Total Estimated Load (Peak): ~45,000 BTU/hr

Interpretation: This home requires a significant amount of heating capacity during cold weather and a substantial cooling capacity during hot weather. A typical furnace might be rated around 80,000 BTU/hr input (which translates to lower output), and an air conditioner might be sized around 3 tons (36,000 BTU/hr). Based on these estimates, a 3.5-ton AC unit and a furnace with an output of at least 45,000 BTU/hr would be appropriate, though professional sizing is crucial.

Example 2: Small, Well-Insulated New Home

Consider a 1,200 sq ft modern, energy-efficient home.

  • Building Area: 1,200 sq ft
  • Average Insulation R-Value: 30 (walls), 50 (attic) – effective R of 35.
  • Total Window Area: 100 sq ft
  • Average Window U-Value: 0.3 (high-performance windows)
  • Air Infiltration Rate (ACH): 0.3 (very tight construction)
  • Summer Design Outdoor Temp: 90°F
  • Winter Design Outdoor Temp: 30°F
  • Desired Indoor Summer Temp: 75°F
  • Desired Indoor Winter Temp: 71°F

Inputs for Calculator: Square Footage: 1200, Insulation R-Value: 35, Window Area: 100, Window U-Value: 0.3, Infiltration Rate: 0.3, Summer Outdoor Temp: 90, Winter Outdoor Temp: 30, Indoor Summer Temp: 75, Indoor Winter Temp: 71.

Estimated Results (from calculator):

  • Heating Load: ~18,000 BTU/hr
  • Cooling Load: ~15,000 BTU/hr
  • Total Estimated Load (Peak): ~18,000 BTU/hr

Interpretation: This well-insulated, airtight home has significantly lower heating and cooling loads compared to the average home. A smaller, more efficient HVAC system would be suitable. For instance, a 1.5-ton air conditioner (18,000 BTU/hr) and a furnace with an output around 20,000-25,000 BTU/hr might suffice. This demonstrates how energy-efficient building practices drastically reduce HVAC system requirements.

How to Use This Heating and Cooling Load Calculator

Using this heating and cooling load calculator is straightforward. Follow these steps to get an estimate of your home's HVAC needs:

  1. Gather Information: Collect details about your home, including its total square footage, the approximate R-value of your insulation (walls, attic), the total area of your windows, their U-value (often found on window labels or manufacturer specs), and an estimate of your home's air tightness (ACH). You'll also need your local climate's design temperatures (summer highs and winter lows) and your preferred indoor temperatures.
  2. Input Data: Enter the gathered information into the corresponding fields in the calculator. Pay close attention to the units (e.g., sq ft, °F, R-value, U-value, ACH). Use the helper text provided for guidance on typical values if you're unsure.
  3. Validate Inputs: The calculator performs inline validation. If you enter invalid data (e.g., negative numbers, out-of-range values), an error message will appear below the input field. Correct these errors before proceeding.
  4. Calculate: Click the "Calculate Loads" button. The calculator will process your inputs and display the estimated heating load, cooling load, and the total peak load.
  5. Interpret Results: The primary result shows the peak load (usually heating, but can be cooling in very hot climates). The intermediate results provide specific heating and cooling figures. These numbers represent the BTU/hr your HVAC system needs to deliver to maintain comfort under design conditions.
  6. Use the Data: These estimates are valuable for discussing HVAC system options with professionals. They help ensure you don't get an oversized or undersized system. Remember, these are estimates; a professional Manual J calculation is the industry standard for precise sizing.
  7. Reset or Copy: Use the "Reset" button to clear the fields and start over with default values. Use the "Copy Results" button to copy the main and intermediate results, along with key assumptions, for your records or to share.

Key Factors That Affect Heating and Cooling Loads

Several factors significantly influence the calculated heating and cooling loads of a building. Understanding these can help you improve your home's energy efficiency and comfort:

  1. Insulation Levels (R-Value): Higher R-values in walls, attics, and floors mean better resistance to heat flow. This reduces heat loss in winter and heat gain in summer, lowering both heating and cooling loads. Improving insulation is one of the most effective ways to reduce HVAC demand.
  2. Window Performance (U-Value & SHGC): Windows are often the weakest thermal link. Low U-values (good insulators) and low Solar Heat Gain Coefficients (SHGC – limiting solar heat entry) significantly reduce heat transfer. The area, type, and orientation of windows play a crucial role.
  3. Air Leakage (Infiltration): Gaps and cracks in the building envelope allow unconditioned outside air to enter and conditioned inside air to escape. This infiltration increases both heating and cooling loads, especially in extreme climates. Sealing air leaks is vital for efficiency.
  4. Climate and Design Temperatures: The severity of your local climate dictates the required heating and cooling capacity. Homes in colder regions will have higher heating loads, while those in hotter regions will have higher cooling loads. Using accurate local design temperatures is essential for proper sizing.
  5. Building Orientation and Shading: The direction a house faces affects solar heat gain. South-facing windows receive significant solar heat in winter (beneficial) but can cause overheating in summer without proper shading (overhangs, blinds). East and west-facing windows receive intense morning and afternoon sun, increasing cooling loads.
  6. Building Size and Volume: Larger homes naturally have higher loads due to greater surface area for heat transfer and larger air volume to condition. However, efficiency measures can significantly reduce the load per square foot.
  7. Internal Heat Gains: Heat generated by occupants, lighting, and appliances contributes to the cooling load. While this reduces heating load in winter, it increases the cooling load in summer. Energy-efficient appliances and lighting can help mitigate this.
  8. Ductwork Design and Sealing: Leaky or poorly insulated ductwork in unconditioned spaces (attics, crawl spaces) can lose a significant amount of heated or cooled air before it reaches the living areas, effectively increasing the system's required capacity.

Frequently Asked Questions (FAQ)

Q1: How accurate is this online calculator?

This calculator provides a simplified estimate based on common formulas. For precise HVAC system sizing, a professional load calculation (like ACCA Manual J) performed by a qualified HVAC technician is recommended. Factors like internal heat gains, solar orientation, and specific building materials are simplified here.

Q2: What is a "BTU/hr"?

BTU/hr stands for British Thermal Units per hour. It's a standard unit of energy used to measure the rate of heat transfer. In HVAC, it quantifies how much heating or cooling capacity a system needs or provides.

Q3: My calculated heating load is much higher than my cooling load. Is this normal?

Yes, this is common in many climates, especially those with cold winters. The temperature difference during winter design conditions (e.g., 0°F outside vs. 70°F inside) is often much larger than the difference during summer design conditions (e.g., 95°F outside vs. 75°F inside), leading to higher heat loss and thus a higher heating load.

Q4: What does "Air Changes per Hour (ACH)" mean?

ACH measures how many times the entire volume of air inside a building is replaced by outside air in one hour due to leakage. A lower ACH indicates a tighter, more energy-efficient building envelope, reducing infiltration losses/gains.

Q5: Can I use these results to buy an HVAC system myself?

While these results give you a good starting point and help you understand your needs, it's best to consult with an HVAC professional. They can perform a detailed assessment, consider factors not included in this calculator (like ductwork, humidity, and specific equipment efficiencies), and recommend the best system for your home.

Q6: What if my house has significant solar gain through windows?

This calculator simplifies solar gain. For homes with large, unshaded windows, especially facing east or west, the actual cooling load can be significantly higher than estimated here. Features like low-E coatings, window films, external shading (awnings, trees), and interior blinds can reduce solar gain.

Q7: How do renovations affect my heating and cooling loads?

Major renovations like adding insulation, replacing windows, or finishing a basement will change your home's thermal performance and thus its heating and cooling loads. It's advisable to re-evaluate your HVAC needs after significant upgrades.

Q8: Does this calculator account for humidity?

This simplified calculator primarily focuses on sensible heat (temperature). While air infiltration does bring in moisture (latent heat), the calculation is a basic estimate. Accurate latent load calculations are more complex and are typically part of professional load assessments.

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var designTempWinterError = document.getElementById("designTempWinterError"); var indoorTempSummerError = document.getElementById("indoorTempSummerError"); var indoorTempWinterError = document.getElementById("indoorTempWinterError"); var totalBTUOutput = document.getElementById("totalBTUOutput"); var heatingLoadOutput = document.getElementById("heatingLoadOutput").getElementsByTagName("span")[0]; var coolingLoadOutput = document.getElementById("coolingLoadOutput").getElementsByTagName("span")[0]; var infiltrationLoadOutput = document.getElementById("infiltrationLoadOutput").getElementsByTagName("span")[0]; var tableArea = document.getElementById("tableArea"); var tableRValue = document.getElementById("tableRValue"); var tableWinArea = document.getElementById("tableWinArea"); var tableWinUValue = document.getElementById("tableWinUValue"); var tableACH = document.getElementById("tableACH"); var tableTempSummerOut = document.getElementById("tableTempSummerOut"); var tableTempWinterOut = document.getElementById("tableTempWinterOut"); var tableTempSummerIn = document.getElementById("tableTempSummerIn"); var tableTempWinterIn = document.getElementById("tableTempWinterIn"); var chart; var ctx = document.getElementById("loadChart").getContext("2d"); function validateInput(inputElement, errorElement, minValue, maxValue, isRequired = true) { var value = parseFloat(inputElement.value); var errorMessage = ""; var isValid = true; if (isRequired && (inputElement.value === "" || isNaN(value))) { errorMessage = "This field is required."; isValid = false; } else if (!isNaN(value)) { if (value maxValue) { errorMessage = "Value cannot be greater than " + maxValue + "."; isValid = false; } } if (isValid) { errorElement.classList.remove("visible"); inputElement.style.borderColor = "#ced4da"; } else { errorElement.textContent = errorMessage; errorElement.classList.add("visible"); inputElement.style.borderColor = "#dc3545″; } return isValid; } function calculateLoads() { var isValid = true; isValid &= validateInput(squareFootageInput, squareFootageError, 1); isValid &= validateInput(insulationRValueInput, insulationRValueError, 1, 60); isValid &= validateInput(windowAreaInput, windowAreaError, 0); isValid &= validateInput(windowUValueInput, windowUValueError, 0.1, 2.0); isValid &= validateInput(infiltrationRateInput, infiltrationRateError, 0.1, 5.0); isValid &= validateInput(designTempSummerInput, designTempSummerError, 50, 120); isValid &= validateInput(designTempWinterInput, designTempWinterError, -20, 50); isValid &= validateInput(indoorTempSummerInput, indoorTempSummerError, 65, 85); isValid &= validateInput(indoorTempWinterInput, indoorTempWinterError, 60, 80); if (!isValid) { return; } var area = parseFloat(squareFootageInput.value); var rValue = parseFloat(insulationRValueInput.value); var windowArea = parseFloat(windowAreaInput.value); var windowUValue = parseFloat(windowUValueInput.value); var ach = parseFloat(infiltrationRateInput.value); var tempSummerOut = parseFloat(designTempSummerInput.value); var tempWinterOut = parseFloat(designTempWinterInput.value); var tempSummerIn = parseFloat(indoorTempSummerInput.value); var tempWinterIn = parseFloat(indoorTempWinterInput.value); // Constants var wallUValue = 1 / rValue; // Simplified: assuming R-value is for walls var airDensity = 0.075; // lb/ft³ var specificHeatAir = 0.24; // BTU/lb·°F var volumetricFactor = 0.018; // BTU/ft³·°F (approximate for infiltration) // Calculate Volume (assuming 8ft ceiling height) var volume = area * 8; // Temperature Differences var deltaT_summer = tempSummerOut – tempSummerIn; var deltaT_winter = tempWinterIn – tempWinterOut; // — Conduction Gains/Losses — // Simplified: Assume a single U-value for walls/roof based on R-value, and calculate total envelope area. // A more accurate calculation would sum U*A for each component. // For simplicity, let's estimate total envelope area as perimeter * height + roof area. // Perimeter approx sqrt(area)*4. Let's use a simpler factor for total envelope area. // A common rule of thumb is that envelope area is roughly 1.5 to 2 times the floor area for single story. var envelopeAreaFactor = 1.7; // Adjust this factor based on typical building shapes var totalEnvelopeArea = area * envelopeAreaFactor; var wallAndRoofConduction = totalEnvelopeArea * wallUValue * deltaT_winter; // For heating var windowConduction = windowArea * windowUValue * deltaT_winter; // For heating var conductionLoad_heating = wallAndRoofConduction + windowConduction; var conductionLoad_cooling = (totalEnvelopeArea * wallUValue * deltaT_summer) + (windowArea * windowUValue * deltaT_summer); // — Infiltration Gains/Losses — var infiltrationLoad_heating = volume * ach * volumetricFactor * deltaT_winter; var infiltrationLoad_cooling = volume * ach * volumetricFactor * deltaT_summer; // — Simplified Solar Gain (for cooling) — // This is a very rough approximation. Real solar gain depends on window orientation, shading, SHGC. // We'll add a factor related to window area and temperature difference, acknowledging it's a simplification. var solarGainFactor = 15; // BTU/hr/sqft/°F – highly variable, adjust as needed for estimation var simplifiedSolarGain = windowArea * solarGainFactor * deltaT_summer; // — Total Loads — var heatingLoad = conductionLoad_heating + infiltrationLoad_heating; var coolingLoad = conductionLoad_cooling + infiltrationLoad_cooling + simplifiedSolarGain; // Ensure loads are not negative (though unlikely with these formulas) heatingLoad = Math.max(0, heatingLoad); coolingLoad = Math.max(0, coolingLoad); var totalLoad = Math.max(heatingLoad, coolingLoad); // Peak load // Display Results totalBTUOutput.textContent = Math.round(totalLoad).toLocaleString() + " BTU/hr"; heatingLoadOutput.textContent = Math.round(heatingLoad).toLocaleString(); coolingLoadOutput.textContent = Math.round(coolingLoad).toLocaleString(); infiltrationLoadOutput.textContent = Math.round(infiltrationLoad_heating).toLocaleString(); // Showing heating infiltration for simplicity // Update Table tableArea.textContent = area.toLocaleString(); tableRValue.textContent = rValue.toLocaleString(); tableWinArea.textContent = windowArea.toLocaleString(); tableWinUValue.textContent = windowUValue.toFixed(2); tableACH.textContent = ach.toFixed(1); tableTempSummerOut.textContent = tempSummerOut; tableTempWinterOut.textContent = tempWinterOut; tableTempSummerIn.textContent = tempSummerIn; tableTempWinterIn.textContent = tempWinterIn; updateChart(heatingLoad, coolingLoad); } function resetCalculator() { squareFootageInput.value = 1500; insulationRValueInput.value = 13; windowAreaInput.value = 150; windowUValueInput.value = 0.5; infiltrationRateInput.value = 0.5; designTempSummerInput.value = 95; designTempWinterInput.value = 25; indoorTempSummerInput.value = 75; indoorTempWinterInput.value = 70; // Clear errors var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].classList.remove('visible'); errorElements[i].textContent = ''; } var inputElements = document.querySelectorAll('input[type="number"], select'); for (var i = 0; i < inputElements.length; i++) { inputElements[i].style.borderColor = "#ced4da"; } calculateLoads(); // Recalculate with default values } function copyResults() { var resultsText = "— HVAC Load Estimates —\n\n"; resultsText += "Primary Result (Peak Load): " + totalBTUOutput.textContent + "\n"; resultsText += "Estimated Heating Load: " + heatingLoadOutput.textContent + " BTU/hr\n"; resultsText += "Estimated Cooling Load: " + coolingLoadOutput.textContent + " BTU/hr\n"; resultsText += "Estimated Infiltration Load: " + infiltrationLoadOutput.textContent + " BTU/hr\n\n"; resultsText += "— Key Assumptions —\n"; resultsText += "Building Area: " + tableArea.textContent + " sq ft\n"; resultsText += "Insulation R-Value: " + tableRValue.textContent + "\n"; resultsText += "Window Area: " + tableWinArea.textContent + " sq ft\n"; resultsText += "Window U-Value: " + tableWinUValue.textContent + "\n"; resultsText += "Air Infiltration: " + tableACH.textContent + " ACH\n"; resultsText += "Summer Design Temps: " + tableTempSummerOut.textContent + "°F (Outdoor) / " + tableTempSummerIn.textContent + "°F (Indoor)\n"; resultsText += "Winter Design Temps: " + tableTempWinterOut.textContent + "°F (Outdoor) / " + tableTempWinterIn.textContent + "°F (Indoor)\n"; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copying failed'; // Optionally show a temporary message to the user var copyButton = document.querySelector('.btn-copy'); var originalText = copyButton.textContent; copyButton.textContent = msg; setTimeout(function() { copyButton.textContent = originalText; }, 2000); } catch (err) { console.error('Fallback: Manual copy required.', err); var copyButton = document.querySelector('.btn-copy'); copyButton.textContent = 'Copy Failed'; setTimeout(function() { copyButton.textContent = 'Copy Results'; }, 2000); } document.body.removeChild(textArea); } function updateChart(heating, cooling) { var chartData = { labels: ['Heating Load', 'Cooling Load'], datasets: [{ label: 'Estimated Load (BTU/hr)', data: [heating, cooling], backgroundColor: [ 'rgba(255, 99, 132, 0.6)', // Heating Red 'rgba(54, 162, 235, 0.6)' // Cooling Blue ], borderColor: [ 'rgba(255, 99, 132, 1)', 'rgba(54, 162, 235, 1)' ], borderWidth: 1 }] }; var chartOptions = { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'BTU/hr' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Comparison of Heating and Cooling Loads' } } }; if (chart) { chart.destroy(); } // Dynamically set canvas height based on content or container size if needed // For simplicity, let's assume a fixed reasonable height or var CSS handle it. // document.getElementById("loadChart").style.height = "300px"; // Example chart = new Chart(ctx, { type: 'bar', data: chartData, options: chartOptions }); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { calculateLoads(); });

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