Heat and Cooling Load Calculation

Heat and Cooling Load Calculation: HVAC Sizing Made Easy :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; line-height: 1.6; color: var(–text-color); background-color: var(–background-color); margin: 0; padding: 20px; } .container { max-width: 1000px; margin: 0 auto; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); } h1, h2, h3 { color: var(–primary-color); margin-bottom: 15px; } h1 { text-align: center; font-size: 2.5em; margin-bottom: 20px; } h2 { font-size: 1.8em; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; margin-top: 30px; } h3 { font-size: 1.3em; margin-top: 20px; } .calculator-wrapper { background-color: var(–card-background); padding: 25px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; 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Heat and Cooling Load Calculation

Accurately determine your HVAC system needs for optimal comfort and efficiency.

HVAC Load Calculator

Enter the total heated and cooled square footage of your home (e.g., 1500 sq ft).
Enter the average height of your ceilings in feet (e.g., 8 ft).
Poor (No/Minimal Insulation) Average (Standard Insulation) Good (High-Performance Insulation) Select the general insulation quality of your home.
Enter the total square footage of all windows (e.g., 200 sq ft).
Single Pane (High U-factor) Double Pane (Standard) Triple Pane / Low-E (Low U-factor) Choose based on the U-factor (insulating value) of your windows.
Low (New, tightly sealed home) Medium (Typical home, some drafts) High (Older home, noticeable drafts) Estimate air leakage. Units: Air Changes per Hour (ACH).
Enter the typical number of people living in the home (e.g., 3).
Estimated heat added by appliances, lighting, electronics in BTU/hr (e.g., 1500 BTU/hr).
Zone 1 (Hot-Humid) Zone 2 (Hot-Dry) Zone 3 (Mixed-Humid) Zone 4 (Mixed-Dry) Zone 5 (Marine/Temperate) Zone 6 (Cold) Zone 7 (Very Cold) Zone 8 (Subarctic/Arctic) Select your geographic climate zone from ASHRAE standards.

Calculation Results

Peak Cooling Load: BTU/hr
Peak Heating Load: BTU/hr
Latent Cooling Load: BTU/hr
Sensible Cooling Load: BTU/hr
Volume: cu ft
Air Changes per Hour (ACH): ACH
Formula Basis: This calculator uses simplified formulas based on the principles of heat transfer (conduction, convection, radiation) and considers factors like building envelope, internal gains, infiltration, and climate. For precise results, a Manual J calculation by a professional is recommended.

Key Assumptions:

  • Default indoor design temperatures: 75°F (cooling), 70°F (heating)
  • Default outdoor design temperatures based on ASHRAE Climate Zone.
  • Assumed standard U-values for walls/roof based on insulation level.
  • Simplified infiltration model.
Heat Load Components
Heat Load Breakdown (Estimated BTU/hr)
Load Component Cooling Load (BTU/hr) Heating Load (BTU/hr)

What is Heat and Cooling Load Calculation?

A heat and cooling load calculation is the process of determining the amount of heating or cooling an HVAC (Heating, Ventilation, and Air Conditioning) system needs to provide to maintain a desired indoor temperature and humidity level within a building. It quantifies the rate at which heat energy enters or leaves a building space. This calculation is crucial for properly sizing HVAC equipment. An undersized system will struggle to maintain comfort, while an oversized system can lead to short cycling, poor humidity control, increased energy consumption, and premature wear. Understanding your home's heat and cooling load calculation is the first step towards an efficient and comfortable indoor environment.

Who should use it: Homeowners planning new HVAC installations or replacements, HVAC contractors, energy auditors, architects, and building designers all utilize heat and cooling load calculation. It's essential for anyone aiming to optimize energy efficiency, ensure occupant comfort, and avoid costly mistakes in HVAC system selection.

Common misconceptions: A frequent misunderstanding is that bigger is always better when it comes to HVAC systems. In reality, precise sizing based on accurate heat and cooling load calculation is far more important than sheer capacity. Another misconception is that all homes of a similar size require the same HVAC system; variations in insulation, window types, climate, and internal heat gains mean that each home's load is unique. Relying solely on rule-of-thumb sizing (e.g., tons per square foot) without a proper load calculation can lead to significant inefficiencies.

Heat and Cooling Load Calculation Formula and Mathematical Explanation

The fundamental principle behind heat and cooling load calculation is balancing the heat gain or loss through various pathways. This calculator employs a simplified approach that considers several key factors:

Total Cooling Load (BTU/hr) is approximately the sum of Sensible Cooling Load and Latent Cooling Load.

Total Heating Load (BTU/hr) is primarily the heat loss due to conduction through the building envelope and infiltration.

The calculation involves estimating heat transfer through the building envelope (walls, roof, windows, floors), heat gain from internal sources (occupants, appliances, lighting), and heat gain/loss due to air infiltration.

A simplified formula for a portion of the load might look like this:

Conduction Load (per surface) ≈ Area × U-value × Temperature Difference

Where:

  • Area is the surface area (sq ft)
  • U-value is the overall heat transfer coefficient (BTU/hr/sq ft/°F)
  • Temperature Difference is the difference between indoor and outdoor design temperatures (°F)

Infiltration Load ≈ Volume × ACH × Density of Air × Specific Heat of Air × Temperature Difference (simplified for HVAC sizing) or often accounted for with factors per ACH.

Internal Heat Gain (Cooling) comes from occupants (approx. 250-400 BTU/hr per person, sensible + latent), lighting (watts × 3.41), and appliances.

Our calculator synthesizes these principles using input parameters to estimate:

  • Total Volume = Conditioned Area × Ceiling Height
  • Overall Heat Transfer Coefficient (U_overall): Estimated based on insulation level and building materials.
  • Window Heat Gain: Calculated using Area × Window U-value × Temperature Difference.
  • Infiltration Heat Gain/Loss: Estimated based on ACH and volume.
  • Internal Heat Gains: From occupants and appliances.

These components are combined, considering peak conditions (hottest/coldest days) and humidity, to arrive at the total heating and cooling loads.

Variables Table

Variables Used in Heat and Cooling Load Calculation
Variable Meaning Unit Typical Range / Example Input
Conditioned Area Total heated and cooled floor space sq ft 1000 – 3000+
Ceiling Height Average height of ceilings ft 8 – 12
Insulation Level Effectiveness of wall/attic insulation Factor (1.0 – 0.4) 0.4 (Good) to 1.0 (Poor)
Window Area Total area of windows sq ft 50 – 500+
Window U-factor Insulating value of windows BTU/hr/sq ft/°F 0.25 (Triple Pane) to 0.85 (Single Pane)
Air Infiltration Rate Rate of outside air entering the home ACH (Air Changes per Hour) 0.5 (Tight) to 1.5 (Leaky)
Number of Occupants People regularly in the space Count 1 – 10+
Appliance Heat Gain Heat generated by appliances, electronics BTU/hr 500 – 5000+
Climate Zone Geographic region's climate characteristics Zone Number (ASHRAE) 1 (Hottest) to 8 (Coldest)
Temperature Difference (°F) Indoor vs. Outdoor design temperature °F 20 – 70+ (depending on season & zone)
Volume Total interior air volume cu ft (Area x Height)
Sensible Load Heat affecting temperature BTU/hr Calculated
Latent Load Heat affecting humidity BTU/hr Calculated
Peak Cooling Load Maximum cooling required BTU/hr Calculated (Sensible + Latent + Infiltration)
Peak Heating Load Maximum heating required BTU/hr Calculated (Envelope Loss + Infiltration Loss)

Practical Examples of Heat and Cooling Load Calculation

Accurate heat and cooling load calculation is vital for achieving energy efficiency and comfort. Here are two practical examples:

Example 1: A Medium-Sized Suburban Home in Zone 5

Scenario: A 1,800 sq ft, 2-story home with 8-foot ceilings, built in the 1990s (average insulation). It has standard double-pane windows (U-factor 0.45), moderate air infiltration (1.0 ACH), and typically 4 occupants. Internal gains from appliances are estimated at 1,200 BTU/hr. The home is in Climate Zone 5 (Temperate).

Inputs to Calculator:

  • Conditioned Area: 1800 sq ft
  • Ceiling Height: 8 ft
  • Insulation Level: Average (0.7 factor)
  • Window Area: 250 sq ft
  • Window Type: Double Pane (0.45 U-factor)
  • Infiltration Rate: Medium (1.0 ACH)
  • Number of Occupants: 4
  • Appliance Heat Gain: 1200 BTU/hr
  • Climate Zone: 5

Estimated Results:

  • Total Volume: 11,520 cu ft
  • Peak Cooling Load: ~35,000 BTU/hr
  • Peak Heating Load: ~45,000 BTU/hr
  • Sensible Cooling Load: ~24,000 BTU/hr
  • Latent Cooling Load: ~11,000 BTU/hr

Interpretation: Based on this heat and cooling load calculation, a system with a capacity around 3 tons (36,000 BTU/hr) for cooling and a furnace rated around 45,000 BTU/hr would likely be appropriate. Selecting a system slightly larger than the cooling load is common practice to account for peak demands and latent load. This precise sizing helps avoid energy waste and discomfort.

Example 2: A Small, Well-Insulated Modern Home in Zone 3

Scenario: A 1,200 sq ft single-story home with 9-foot ceilings, featuring high-performance insulation (good R-values) and triple-pane windows (U-factor 0.25). It's very airtight with a low infiltration rate (0.5 ACH). There are 2 occupants, and appliance heat gain is estimated at 800 BTU/hr. The home is in Climate Zone 3 (Mixed).

Inputs to Calculator:

  • Conditioned Area: 1200 sq ft
  • Ceiling Height: 9 ft
  • Insulation Level: Good (0.4 factor)
  • Window Area: 120 sq ft
  • Window Type: Triple Pane / Low-E (0.25 U-factor)
  • Infiltration Rate: Low (0.5 ACH)
  • Number of Occupants: 2
  • Appliance Heat Gain: 800 BTU/hr
  • Climate Zone: 3

Estimated Results:

  • Total Volume: 8,100 cu ft
  • Peak Cooling Load: ~15,000 BTU/hr
  • Peak Heating Load: ~20,000 BTU/hr
  • Sensible Cooling Load: ~11,000 BTU/hr
  • Latent Cooling Load: ~4,000 BTU/hr

Interpretation: This heat and cooling load calculation reveals a significantly lower load compared to the first example, despite similar size. The excellent insulation and airtightness drastically reduce heat transfer and infiltration. An undersized system in a typical home might be oversized here. A system around 1.5 tons (18,000 BTU/hr) for cooling and a 20,000 BTU/hr heating unit would be more appropriate. This illustrates how building quality heavily influences HVAC sizing needs. This detailed heat and cooling load calculation informs smarter energy choices.

How to Use This Heat and Cooling Load Calculator

Our interactive heat and cooling load calculation tool simplifies the estimation process. Follow these steps for accurate results:

  1. Gather Information: Before using the calculator, measure your home's conditioned floor area, average ceiling height, and total window area. Note the typical number of occupants and estimate heat generated by appliances. Determine your home's general insulation quality and window type. Identify your climate zone.
  2. Input Data: Enter the gathered information into the corresponding fields in the calculator. Use whole numbers or decimals as indicated. Select the most appropriate option from the dropdown menus for insulation level, window type, infiltration rate, and climate zone.
  3. Calculate: Click the "Calculate Load" button. The calculator will process your inputs using established engineering principles.
  4. Review Results: The results section will display your estimated peak cooling load, peak heating load, sensible and latent cooling loads, total volume, and actual air changes per hour (ACH). The main highlighted result is the total peak cooling load, a critical factor for AC sizing.
  5. Understand the Output:
    • Peak Cooling Load (BTU/hr): The maximum amount of heat your air conditioner needs to remove on the hottest day.
    • Peak Heating Load (BTU/hr): The maximum amount of heat your furnace needs to provide on the coldest day.
    • Sensible Cooling Load (BTU/hr): Heat that affects temperature only.
    • Latent Cooling Load (BTU/hr): Heat associated with moisture removal (humidity).
    • Volume (cu ft): The total air volume the HVAC system needs to condition.
    • Actual ACH: An estimate of how often the entire volume of air in your home is replaced by outside air due to infiltration.
    The table and chart provide a visual breakdown of different load components.
  6. Make Informed Decisions: Use these estimates to discuss HVAC system sizing with a professional contractor. Remember, this calculator provides an estimate; a professional HVAC load calculation like Manual J is the industry standard for precise sizing.
  7. Reset or Copy: Use the "Reset Values" button to start over with default settings. Click "Copy Results" to copy the key findings for your records or to share.

By performing a proper heat and cooling load calculation, you empower yourself to make better decisions regarding your home's comfort and energy efficiency.

Key Factors That Affect Heat and Cooling Load Results

Several elements significantly influence the outcome of a heat and cooling load calculation. Understanding these factors helps in providing accurate inputs and interpreting the results:

  1. Climate Zone and Outdoor Design Conditions: The most critical factor. Homes in hotter, more humid climates (e.g., Zone 1) will have vastly higher cooling loads than those in cold climates (e.g., Zone 7). The specific design temperatures (hottest/coldest expected temperatures and humidity levels) for your region dictate the temperature difference the HVAC system must overcome.
  2. Building Envelope Insulation: The R-value (resistance to heat flow) of walls, roofs, and floors is paramount. Higher insulation levels reduce heat transfer (both gain in summer and loss in winter), significantly lowering the required HVAC capacity. This calculator uses a simplified insulation level input.
  3. Window Quality and Area: Windows are often weak points in the building envelope. Their size, type (single, double, triple pane), frame material, and any coatings (like Low-E) affect their U-factor (heat transfer) and Solar Heat Gain Coefficient (SHGC). More window area, especially if poorly insulated or facing direct sun, dramatically increases cooling load.
  4. Air Infiltration (Air Leakage): Gaps and cracks in the building envelope allow unconditioned outside air to enter and conditioned inside air to escape. This infiltration adds both sensible (temperature) and latent (moisture) loads. Older homes or those with poor sealing tend to have higher infiltration rates. Factors like wind speed and the stack effect also play a role.
  5. Internal Heat Gains: Heat generated within the home from occupants (body heat), lighting (especially incandescent), and appliances (refrigerators, ovens, computers, TVs) contributes to the cooling load. While beneficial for heating in winter, these gains must be managed by the AC in summer. The number of people and the types of appliances used are key here.
  6. Building Orientation and Shading: The direction a house faces impacts solar heat gain. East and west-facing windows receive intense, low-angle sun in the morning and afternoon, respectively, significantly increasing cooling load. Proper shading (overhangs, trees, awnings) can mitigate this.
  7. Ductwork Design and Condition: Leaky or poorly insulated ductwork, especially if located in unconditioned spaces like attics or crawlspaces, can lose a substantial portion of conditioned air before it reaches the living areas. This effectively increases the load on the HVAC system.
  8. Ventilation Requirements: Modern energy codes often require mechanical ventilation to ensure indoor air quality. While necessary, this introduces a controlled amount of outside air, which must be conditioned, thus adding to the calculated load.

A thorough heat and cooling load calculation considers all these variables to ensure accurate HVAC system sizing for optimal performance and efficiency.

Frequently Asked Questions (FAQ)

What's the difference between sensible and latent heat load?
Sensible heat is the heat that changes the temperature of the air. Latent heat is the heat associated with a change in the state of water (e.g., moisture in the air). In cooling, removing sensible heat makes the air feel cooler, while removing latent heat reduces humidity, making it feel more comfortable. Both contribute to the total cooling load.
Why is it bad to have an oversized HVAC system?
Oversized systems cool or heat the space too quickly and shut off before properly dehumidifying the air (in cooling mode), leading to a cold, clammy feeling. They also cycle on and off more frequently, increasing wear and tear, using more energy, and potentially causing uneven temperatures. Accurate heat and cooling load calculation prevents this.
How often should I perform a heat and cooling load calculation?
A formal load calculation (like Manual J) is typically done when installing a new HVAC system or replacing an existing one. It doesn't need to be redone annually unless significant changes are made to the building envelope, such as adding insulation, replacing windows, or undertaking major renovations.
Can I use a general rule of thumb (e.g., 1 ton per 400 sq ft) instead of a calculation?
While rules of thumb can provide a very rough estimate, they are highly inaccurate and can lead to improper equipment sizing. Factors like insulation, window efficiency, climate, and internal gains vary significantly between homes of the same square footage. A precise heat and cooling load calculation is strongly recommended over rules of thumb.
Does the calculator account for duct leakage?
This simplified calculator estimates load based on home characteristics. While it includes an infiltration rate that can be influenced by leaks, it doesn't directly model duct leakage. Significant duct leakage, especially in unconditioned spaces, can increase the required system size beyond what this calculator shows. Professional HVAC system design should address ductwork.
What are typical design temperatures for my climate zone?
Design temperatures vary greatly. For example, Zone 5 might have a cooling design temperature around 95°F and a heating design temperature around 15°F. Zone 1 would have much higher cooling (e.g., 105°F) and milder heating (e.g., 45°F) design temperatures. Our calculator uses generalized ASHRAE data for these zones.
How do solar heat gain and shading affect the calculation?
Solar heat gain through windows and the building envelope is a major component of the cooling load, especially in summer. Shading (trees, awnings, overhangs) significantly reduces this solar gain, lowering the cooling load. This calculator estimates general window heat gain, but specific solar gain details would require a more advanced analysis.
What is the typical BTU/hr per person for internal heat gain?
An average adult at rest or doing light activity generates about 250-400 BTU/hr of heat, combining sensible and latent components. This calculator uses a standardized factor based on occupant count for estimating internal heat gain during cooling load calculations.
Can this calculator be used for commercial buildings?
This calculator is designed primarily for residential buildings. Commercial buildings have more complex load profiles, often involving higher occupancy densities, different ventilation requirements, and specialized equipment, necessitating more detailed commercial load calculation standards (e.g., ASHRAE Fundamentals).
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valid = false; } else { setErrorMessage('ceilingHeightError'); } var windowArea = getInputValue('windowArea'); if (windowArea === null || windowArea < 0) { setErrorMessage('windowAreaError', 'Window area cannot be negative.'); valid = false; } else { setErrorMessage('windowAreaError'); } var people = getInputValue('peopleCount'); if (people === null || people <= 0) { setErrorMessage('peopleCountError', 'Please enter at least one occupant.'); valid = false; } else { setErrorMessage('peopleCountError'); } var applianceGain = getInputValue('applianceHeatGain'); if (applianceGain === null || applianceGain < 0) { setErrorMessage('applianceHeatGainError', 'Appliance heat gain cannot be negative.'); valid = false; } else { setErrorMessage('applianceHeatGainError'); } return valid; } function calculateLoad() { if (!validateInputs()) { document.getElementById('results').classList.remove('show'); return; } var conditionedArea = getInputValue('conditionedArea'); var ceilingHeight = getInputValue('ceilingHeight'); var insulationFactor = getSelectValue('insulationLevel'); var windowArea = getInputValue('windowArea'); var windowUFactor = getSelectValue('windowType'); var infiltrationRate = getSelectValue('infiltrationRate'); var peopleCount = getInputValue('peopleCount'); var applianceHeatGain = getInputValue('applianceHeatGain'); var climateZone = getSelectValue('climateZone'); // Simplified Design Temperatures (ASHRAE Zones) – These are rough estimates for demonstration var designTemps = { 1: { cooling: 95, heating: 45, humidityFactor: 0.30 }, // Hot-Humid 2: { cooling: 100, heating: 35, humidityFactor: 0.15 }, // Hot-Dry 3: { cooling: 95, heating: 30, humidityFactor: 0.25 }, // Mixed-Humid 4: { cooling: 90, heating: 25, humidityFactor: 0.20 }, // Mixed-Dry 5: { cooling: 88, heating: 15, humidityFactor: 0.18 }, // Marine/Temperate 6: { cooling: 85, heating: 0, humidityFactor: 0.15 }, // Cold 7: { cooling: 80, heating: -10, humidityFactor: 0.10 }, // Very Cold 8: { cooling: 75, heating: -20, humidityFactor: 0.05 } // Arctic }; var designTemp = designTemps[climateZone]; var outdoorCoolingTemp = designTemp.cooling; var outdoorHeatingTemp = designTemp.heating; var indoorCoolingTemp = 75; // Standard indoor cooling temp var indoorHeatingTemp = 70; // Standard indoor heating temp var deltaT_cooling = outdoorCoolingTemp – indoorCoolingTemp; var deltaT_heating = indoorHeatingTemp – outdoorHeatingTemp; var volume = conditionedArea * ceilingHeight; var totalVolumeCuFt = volume; // For simplification, assuming all is conditioned // Simplified Heat Transfer Factors (BTU/hr/sq ft/°F per unit of U-value) // These are rough approximations and vary greatly by construction var wallRoofFactor = 1.5 * insulationFactor; // Multiplier for walls/roof based on insulation var windowFactor = windowUFactor; // Basic Loads var envelopeLoadCooling = (conditionedArea * wallRoofFactor * deltaT_cooling) + (windowArea * windowFactor * deltaT_cooling); // Prevent negative envelope load in cooling scenario if outdoor temp is lower than indoor (unlikely for cooling design, but for robustness) envelopeLoadCooling = Math.max(0, envelopeLoadCooling); var envelopeLoadHeating = (conditionedArea * wallRoofFactor * deltaT_heating) + (windowArea * windowFactor * deltaT_heating); // Prevent negative envelope load in heating scenario if outdoor temp is higher than indoor (unlikely for heating design, but for robustness) envelopeLoadHeating = Math.max(0, envelopeLoadHeating); // Infiltration Load (Simplified: BTU/hr per ACH based on volume and temperature difference) // Using a simplified factor for air infiltration heat transfer var infiltrationFactor = 0.018 * 0.24 * 60; // Approx. factor for BTU/hr per cu ft per °F per ACH var infiltrationLoadCooling = totalVolumeCuFt * infiltrationRate * deltaT_cooling * infiltrationFactor; var infiltrationLoadHeating = totalVolumeCuFt * infiltrationRate * deltaT_heating * infiltrationFactor; // Internal Gains (Cooling Only) var occupantHeatGain = peopleCount * 300; // Approx. 300 BTU/hr per person (sensible + latent) var internalGainsCooling = occupantHeatGain + applianceHeatGain; // Latent Load (Simplified – proportional to sensible cooling load and humidity factor) // This is a rough approximation. A real calculation involves dew point. var latentLoadFactor = 0.4; // Ratio of latent to sensible heat, highly variable var sensibleCoolingLoad = envelopeLoadCooling + infiltrationLoadCooling; // Simplified first pass sensibleCoolingLoad = Math.max(0, sensibleCoolingLoad); // Ensure non-negative sensible load var latentCoolingLoad = sensibleCoolingLoad * latentLoadFactor * designTemp.humidityFactor; // Adjust based on zone humidity latentCoolingLoad = Math.max(0, latentCoolingLoad); // Ensure non-negative latent load var totalCoolingLoad = sensibleCoolingLoad + latentCoolingLoad + internalGainsCooling; var totalHeatingLoad = envelopeLoadHeating + infiltrationLoadHeating; // Adjusting sensible load based on actual gains and latent load sensibleCoolingLoad = totalCoolingLoad – latentCoolingLoad – internalGainsCooling; sensibleCoolingLoad = Math.max(0, sensibleCoolingLoad); // Ensure non-negative // Final Peak Loads var peakCoolingLoad = sensibleCoolingLoad + latentCoolingLoad + internalGainsCooling; var peakHeatingLoad = totalHeatingLoad; // Ensure loads are not negative peakCoolingLoad = Math.max(0, peakCoolingLoad); peakHeatingLoad = Math.max(0, peakHeatingLoad); sensibleCoolingLoad = Math.max(0, sensibleCoolingLoad); latentCoolingLoad = Math.max(0, latentCoolingLoad); // Calculate actual ACH based on simplified infiltration model used var actualAch = infiltrationRate; // In this simplified model, we use the input rate directly for display. More complex models would derive it. document.getElementById('totalLoadResult').textContent = peakCoolingLoad.toFixed(0); document.getElementById('peakCoolingLoad').textContent = peakCoolingLoad.toFixed(0); document.getElementById('peakHeatingLoad').textContent = peakHeatingLoad.toFixed(0); document.getElementById('sensibleCoolingLoad').textContent = sensibleCoolingLoad.toFixed(0); document.getElementById('latentCoolingLoad').textContent = latentCoolingLoad.toFixed(0); document.getElementById('volume').textContent = totalVolumeCuFt.toFixed(0); document.getElementById('actualAch').textContent = actualAch.toFixed(1); document.getElementById('results').classList.add('show'); updateChart(peakCoolingLoad, sensibleCoolingLoad, latentCoolingLoad, internalGainsCooling, infiltrationLoadCooling, envelopeLoadCooling); updateTable(sensibleCoolingLoad, latentCoolingLoad, internalGainsCooling, infiltrationLoadCooling, envelopeLoadCooling, peakHeatingLoad, infiltrationLoadHeating, envelopeLoadHeating); } function updateChart(peakCooling, sensible, latent, internal, infiltration, envelope) { var canvas = document.getElementById('loadChart'); if (!canvas) return; ctx = canvas.getContext('2d'); if (chart) { chart.destroy(); // Destroy previous chart instance if it exists } var chartData = { labels: ['Envelope Gain', 'Infiltration Gain', 'Internal Gains', 'Latent Load'], datasets: [{ label: 'Cooling Load Components (BTU/hr)', data: [envelope, infiltration, internal, latent], backgroundColor: [ 'rgba(54, 162, 235, 0.6)', // Envelope 'rgba(255, 159, 64, 0.6)', // Infiltration 'rgba(75, 192, 192, 0.6)', // Internal Gains 'rgba(153, 102, 255, 0.6)' // Latent Load ], borderColor: [ 'rgba(54, 162, 235, 1)', 'rgba(255, 159, 64, 1)', 'rgba(75, 192, 192, 1)', 'rgba(153, 102, 255, 1)' ], borderWidth: 1 }] }; // Dynamically set chart height based on number of labels to prevent squashing var chartHeight = Math.max(250, chartData.labels.length * 40); // Min height 250px, increase based on labels canvas.style.height = chartHeight + 'px'; canvas.height = chartHeight; // Set intrinsic canvas height chart = new Chart(ctx, { type: 'bar', data: chartData, options: { responsive: true, maintainAspectRatio: false, // Allow height adjustment scales: { y: { beginAtZero: true, title: { display: true, text: 'BTU/hr' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Breakdown of Estimated Cooling Load Components' } } } }); } function updateTable(sensibleCooling, latentCooling, internalGains, infiltrationCooling, envelopeCooling, peakHeating, infiltrationHeating, envelopeHeating) { var tableBody = document.querySelector('#loadTable tbody'); tableBody.innerHTML = ''; // Clear existing rows var addRow = function(component, coolingValue, heatingValue) { var row = tableBody.insertRow(); var cellComponent = row.insertCell(); var cellCooling = row.insertCell(); var cellHeating = row.insertCell(); cellComponent.textContent = component; cellCooling.textContent = coolingValue.toFixed(0); cellHeating.textContent = heatingValue.toFixed(0); }; addRow('Envelope Heat Transfer', envelopeCooling, envelopeHeating); addRow('Infiltration', infiltrationCooling, infiltrationHeating); addRow('Internal Gains', internalGains, 0); // Internal gains are typically only for cooling addRow('Latent Load (Moisture)', latentCooling, 0); // Latent load is for cooling addRow('Total Peak Load', parseFloat(document.getElementById('peakCoolingLoad').textContent), parseFloat(document.getElementById('peakHeatingLoad').textContent)); } function resetCalculator() { document.getElementById('conditionedArea').value = 1500; document.getElementById('ceilingHeight').value = 8; document.getElementById('insulationLevel').value = 0.7; // Default to Average document.getElementById('windowArea').value = 200; document.getElementById('windowType').value = 0.45; // Default to Double Pane document.getElementById('infiltrationRate').value = 1.0; // Default to Medium document.getElementById('peopleCount').value = 3; document.getElementById('applianceHeatGain').value = 1500; document.getElementById('climateZone').value = 5; // Default to Zone 5 // Clear errors and results var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].textContent = ''; errorElements[i].style.display = 'none'; } document.getElementById('results').classList.remove('show'); chart.destroy(); // Clear chart chart = null; document.getElementById('loadChart').style.height = '250px'; // Reset height document.querySelector('#loadTable tbody').innerHTML = ''; // Clear table // Optionally, recalculate with defaults calculateLoad(); } function copyResults() { var mainResult = document.getElementById('totalLoadResult').textContent; var peakCooling = document.getElementById('peakCoolingLoad').textContent; var peakHeating = document.getElementById('peakHeatingLoad').textContent; var sensible = document.getElementById('sensibleCoolingLoad').textContent; var latent = document.getElementById('latentCoolingLoad').textContent; var volume = document.getElementById('volume').textContent; var ach = document.getElementById('actualAch').textContent; var assumptions = "Key Assumptions:\n"; var assumptionsList = document.querySelectorAll('#keyAssumptions li'); for (var i = 0; i < assumptionsList.length; i++) { assumptions += "- " + assumptionsList[i].textContent + "\n"; } var resultsText = "— Heat and Cooling Load Calculation Results —\n\n"; resultsText += "Primary Result (Peak Cooling Load): " + mainResult + " BTU/hr\n"; resultsText += "Peak Cooling Load: " + peakCooling + " BTU/hr\n"; resultsText += "Peak Heating Load: " + peakHeating + " BTU/hr\n"; resultsText += "Sensible Cooling Load: " + sensible + " BTU/hr\n"; resultsText += "Latent Cooling Load: " + latent + " BTU/hr\n"; resultsText += "Total Volume: " + volume + " cu ft\n"; resultsText += "Estimated Air Changes per Hour (ACH): " + ach + " ACH\n\n"; resultsText += assumptions; // Use a temporary textarea to copy text to clipboard 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 successfully!' : 'Failed to copy results.'; console.log(msg); // Optionally provide visual feedback to user alert(msg); } catch (err) { console.error('Unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initialize chart on load if default values are present and calculation is triggered window.onload = function() { // Optionally run calculation on load with default values // calculateLoad(); };

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