Ac Tonnage per Square Foot Calculator

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AC Tonnage per Square Foot Calculator

Calculate Required AC Tonnage

Enter the total area in square feet.
Typical residential ceiling height is 8 feet.
Poor (Minimal/No Insulation) Average (Standard Insulation) Good (High-Quality Insulation) Select the quality of insulation in your walls and attic.
Estimate the total square footage of all windows.
Low (Shaded, North-facing) Medium (East/West facing, some direct sun) High (South-facing, direct sun) Consider the direction your windows face and direct sunlight.
Each person adds heat. Average is 2.
Count major appliances like computers, TVs, ovens (estimate). 1 is a baseline.

Your AC Sizing Results

BTU

Cooling Load

Tons/sq ft

Tonnage Density

sq ft

Adjusted Area

Formula: Total BTU = (Square Footage * Base BTU/sq ft * Insulation Factor * Window Factor * Sun Factor) + (Occupant Heat) + (Appliance Heat)
Tonnage = Total BTU / 12,000

Key Assumptions:

  • Base BTU/sq ft: 20 (standard for moderate climates)
  • Base Ceiling Height: 8 ft
  • Base Occupant Heat: 400 BTU/person
  • Base Appliance Heat: 500 BTU/appliance
  • Window Heat Load Factor: 15 BTU/sq ft
  • 1 Ton of AC = 12,000 BTU/hour

Tonnage vs. Square Footage

Required Tonnage Tonnage Density
Estimated AC Tonnage Requirements Across Different Space Sizes

AC Tonnage Guidelines by Square Footage

Square Footage Range Estimated Tonnage Estimated BTU
General AC sizing recommendations for typical conditions.

{primary_keyword}

The concept of ac tonnage per square foot is a crucial metric used in HVAC (Heating, Ventilation, and Air Conditioning) system design to estimate the cooling capacity needed for a specific space. It essentially translates the physical dimensions and thermal characteristics of an area into the required power of an air conditioning unit. An air conditioner's cooling capacity is measured in tons, where one ton is equivalent to 12,000 British Thermal Units (BTU) per hour. Understanding the appropriate ac tonnage per square foot helps ensure that your air conditioning system is neither undersized (leading to inadequate cooling and strain on the unit) nor oversized (causing inefficient operation, poor humidity control, and higher energy bills). This calculation is fundamental for homeowners, building managers, and HVAC professionals alike when selecting the right AC unit for residential, commercial, or industrial applications.

Who should use it? Anyone involved in selecting, installing, or maintaining an air conditioning system should understand ac tonnage per square foot. This includes:

  • Homeowners planning to install a new AC unit or replace an old one.
  • Property developers and builders determining HVAC specifications for new constructions.
  • HVAC technicians and contractors performing load calculations and system sizing.
  • Building managers responsible for maintaining optimal indoor climates and energy efficiency.

Common misconceptions about ac tonnage per square foot include assuming that larger square footage always requires a proportionally larger tonnage without considering other factors. Many believe that simply doubling the square footage doubles the required tonnage, which is often not the case due to variations in insulation, window exposure, climate, and internal heat sources. Another misconception is that a higher tonnage unit is always better, when in reality, an oversized unit can lead to short cycling, inadequate dehumidification, and increased wear and tear. The goal is to find the *right* size, not necessarily the biggest.

{primary_keyword} Formula and Mathematical Explanation

Calculating the required AC tonnage involves a detailed load calculation, but a simplified estimation based on ac tonnage per square foot can be derived. The core idea is to determine the total heat gain (cooling load) the AC unit needs to overcome.

The general formula we use in our calculator is:

Total BTU = (Adjusted Square Footage * Base BTU per Square Foot) + Occupant Heat Load + Appliance Heat Load

Where:

  • Adjusted Square Footage = (Space Square Footage * Insulation Factor * Window Area Factor * Sun Exposure Factor)
  • Base BTU per Square Foot: A standard value, often around 20 BTU/sq ft, representing the heat gain from the building envelope and general infiltration in moderate conditions.
  • Insulation Factor: A multiplier based on the quality of insulation. Better insulation reduces heat transfer, lowering this factor.
  • Window Area Factor: This is implicitly handled by adjusting the base BTU/sq ft or by adding a specific window load. In our simplified model, we adjust the effective square footage. A more complex calculation would directly add window heat gain.
  • Sun Exposure Factor: A multiplier accounting for heat gain through windows and walls due to direct sunlight.
  • Occupant Heat Load: Heat generated by people in the space.
  • Appliance Heat Load: Heat generated by electronic devices and appliances.

Finally, to convert the total BTU to tonnage:

AC Tonnage = Total BTU / 12,000

The calculator uses these principles, adjusting the effective square footage based on insulation, windows, and sun exposure, then adding heat loads from occupants and appliances.

Variables Table

Variable Meaning Unit Typical Range / Values
Space Square Footage Total floor area to be cooled sq ft 100 – 5000+
Ceiling Height Average height of the room's ceiling feet 7 – 12 (8 is standard)
Insulation Quality Effectiveness of thermal insulation Factor (decimal) 0.7 (Good) – 1.0 (Poor)
Total Window Area Sum of the area of all windows sq ft 0 – 200+
Sun Exposure Level Amount of direct sunlight hitting the space Factor (decimal) 1.0 (Low) – 1.4 (High)
Number of Occupants People regularly occupying the space Count 1 – 10+
Heat Generating Appliances Number of significant heat-producing devices Count 0 – 5+ (Estimate)
Base BTU/sq ft Standard heat load per square foot BTU/hr/sq ft ~20 (Adjustable based on climate)
Occupant Heat Load Heat contribution per person BTU/hr ~400
Appliance Heat Load Estimated heat contribution per appliance BTU/hr ~500
AC Tonnage Cooling capacity of the AC unit Tons 0.5 – 5+
Total BTU Total cooling required BTU/hr Calculated

Practical Examples (Real-World Use Cases)

Example 1: Small Apartment Living Room

Scenario: Sarah is looking to buy a window AC unit for her apartment living room. The room is 400 sq ft with an average ceiling height of 8 ft. It has one large window (50 sq ft) facing west, receiving direct afternoon sun. The insulation is average, and typically 2 people occupy the room, with a TV and a laptop.

Inputs:

  • Space Square Footage: 400 sq ft
  • Ceiling Height: 8 ft
  • Insulation Quality: Average (0.85)
  • Total Window Area: 50 sq ft
  • Sun Exposure Level: Medium (1.2)
  • Number of Occupants: 2
  • Heat Generating Appliances: 2 (TV + Laptop)

Calculation Breakdown (Simplified):

  • Base BTU = 400 sq ft * 20 BTU/sq ft = 8000 BTU
  • Adjusted Area Factor = 0.85 (Insulation) * 1.2 (Sun) = 1.02
  • Adjusted BTU from Area = 8000 BTU * 1.02 = 8160 BTU
  • Occupant Heat = 2 people * 400 BTU/person = 800 BTU
  • Appliance Heat = 2 appliances * 500 BTU/appliance = 1000 BTU
  • Total BTU = 8160 + 800 + 1000 = 9960 BTU
  • Required Tonnage = 9960 BTU / 12,000 BTU/ton ≈ 0.83 Tons

Result Interpretation: Sarah needs an AC unit with approximately 0.83 tons of cooling capacity, which translates to about 10,000 BTU/hr. A standard 8,000 BTU or 10,000 BTU unit would be suitable. The calculator might suggest a slightly higher tonnage due to the direct sun exposure and window size, emphasizing the need for adequate cooling.

Example 2: Small Office Space

Scenario: A small startup office is 600 sq ft. The ceiling height is 9 ft. It has several large windows (80 sq ft total) on the south side, receiving significant direct sunlight. Insulation is considered good. The office typically has 4 employees working, plus 3 computers and a server.

Inputs:

  • Space Square Footage: 600 sq ft
  • Ceiling Height: 9 ft
  • Insulation Quality: Good (0.7)
  • Total Window Area: 80 sq ft
  • Sun Exposure Level: High (1.4)
  • Number of Occupants: 4
  • Heat Generating Appliances: 4 (3 computers + 1 server)

Calculation Breakdown (Simplified):

  • Base BTU = 600 sq ft * 20 BTU/sq ft = 12,000 BTU
  • Adjusted Area Factor = 0.7 (Insulation) * 1.4 (Sun) = 0.98
  • Adjusted BTU from Area = 12,000 BTU * 0.98 = 11,760 BTU
  • Occupant Heat = 4 people * 400 BTU/person = 1600 BTU
  • Appliance Heat = 4 appliances * 500 BTU/appliance = 2000 BTU
  • Total BTU = 11,760 + 1600 + 2000 = 15,360 BTU
  • Required Tonnage = 15,360 BTU / 12,000 BTU/ton ≈ 1.28 Tons

Result Interpretation: For this office space, approximately 1.28 tons (around 15,400 BTU/hr) is needed. This suggests a 1.5-ton AC unit would be appropriate, providing a slight buffer for peak conditions. The high sun exposure and number of occupants/equipment significantly increase the required cooling capacity compared to a similarly sized residential space. This highlights the importance of considering all factors when determining ac tonnage per square foot.

How to Use This {primary_keyword} Calculator

Using our ac tonnage per square foot calculator is straightforward and designed to give you a reliable estimate for your cooling needs. Follow these simple steps:

  1. Measure Your Space: Accurately determine the total square footage of the area you need to cool. If you're unsure, measure the length and width of the room(s) and multiply them.
  2. Input Basic Dimensions: Enter the calculated square footage into the "Space Square Footage" field. Also, input the average ceiling height of the space. 8 feet is standard for most homes.
  3. Assess Insulation Quality: Choose the option that best describes your home's insulation: "Poor" for minimal or no insulation, "Average" for standard insulation, or "Good" for high-quality, modern insulation.
  4. Measure Window Area: Estimate the total square footage of all windows in the space. You can do this by measuring the width and height of each window and summing them up.
  5. Determine Sun Exposure: Select the level of direct sunlight the space receives. "Low" for shaded areas or north-facing windows, "Medium" for some direct sun, and "High" for south-facing windows or areas with prolonged direct sunlight.
  6. Count Occupants and Appliances: Enter the typical number of people who will be in the space regularly. Also, estimate the number of significant heat-generating appliances (computers, TVs, gaming consoles, etc.).
  7. Click Calculate: Once all fields are filled, click the "Calculate Tonnage" button.

How to Read Results:

  • Main Result (Tons): This is the primary output, showing the estimated AC tonnage required for your space.
  • Estimated BTU: This shows the total cooling load in British Thermal Units per hour (BTU/hr) that your AC system needs to handle.
  • Tonnage Density (Tons/sq ft): This metric provides a ratio of required tonnage to the square footage, useful for comparing different spaces or system efficiencies.
  • Adjusted Square Footage: This represents your space's effective size after accounting for factors like insulation and sun exposure, giving a more accurate picture of the cooling load.
  • Table and Chart: The table provides general guidelines, while the chart visually represents how tonnage needs scale with space size under typical conditions.

Decision-Making Guidance: The calculated tonnage is an estimate. It's always recommended to consult with a qualified HVAC professional for a precise load calculation, especially for complex installations or critical environments. Use the result as a strong starting point for discussions with contractors and for comparing AC unit specifications. Remember that factors like climate, local building codes, and specific usage patterns can influence the final decision.

Key Factors That Affect {primary_keyword} Results

While our calculator provides a solid estimate for ac tonnage per square foot, several real-world factors can significantly influence the actual cooling load required. Understanding these can help you refine your estimates or discuss your needs more effectively with HVAC professionals.

  1. Climate Zone: The most significant factor. A space in a hot, humid climate (like Florida) will require considerably more cooling capacity than a similar-sized space in a mild climate (like coastal California) or a cold climate. Our calculator uses a generalized "Base BTU/sq ft" and "Sun Exposure" factors, but extreme climates might necessitate adjustments.
  2. Insulation Quality and Type: As included in the calculator, insulation is critical. High R-value insulation in walls, attics, and floors dramatically reduces heat transfer. Older homes or those with poor insulation will have higher heat gain, demanding more tonnage. The type of insulation (fiberglass, spray foam, rigid foam) also affects its performance.
  3. Window Efficiency and Shading: Windows are major sources of heat gain. The calculator accounts for window area and sun exposure, but the type of glass (double-pane, low-E coatings), frame material, and external shading (awnings, trees) play a huge role. Energy Star rated windows significantly reduce heat transfer.
  4. Air Leakage (Infiltration): Gaps and cracks in the building envelope allow hot, humid outside air to infiltrate the conditioned space, increasing the cooling load. Older homes or buildings with poor construction quality often suffer from higher air leakage. Sealing these leaks is crucial for efficient cooling.
  5. Internal Heat Gains: Beyond occupants and appliances, other sources contribute heat. Lighting (especially incandescent bulbs), cooking activities, and even heat generated by electronics not explicitly counted can add to the load. The calculator includes a basic appliance factor, but a detailed load calculation would itemize these more precisely.
  6. Building Orientation and Shading: The direction a building faces impacts solar heat gain. South and west-facing walls and windows receive the most intense sun, especially during the hottest parts of the day. External shading from trees, neighboring buildings, or architectural features can significantly reduce this gain.
  7. Ventilation Requirements: Modern building codes often require specific amounts of fresh air ventilation, especially in tightly sealed homes or commercial spaces. This incoming fresh air needs to be cooled and dehumidified, adding to the overall cooling load.
  8. Desired Indoor Temperature: The target temperature you want to maintain affects the workload. Setting your thermostat lower requires the AC to run longer and work harder, especially during peak heat.

Frequently Asked Questions (FAQ)

Q1: What is the standard AC tonnage per square foot?

There isn't one single standard, as it varies greatly. However, a common rule of thumb for residential spaces in moderate climates is around 1 ton of cooling for every 400-600 square feet. Our calculator refines this by considering multiple factors.

Q2: Why is my calculated tonnage different from a contractor's estimate?

Our calculator provides an estimate based on user inputs. Professional HVAC contractors use detailed Manual J load calculations, which involve more precise measurements, specific climate data, ductwork analysis, and local building codes. Their calculations are typically more accurate for final system selection.

Q3: Can I use a higher tonnage AC than recommended?

While it might seem like more power is better, an oversized AC unit (higher tonnage than needed) can cause problems. It cools the space too quickly and shuts off before adequately dehumidifying the air, leading to a cold, clammy feeling. It also causes "short cycling," which increases wear and tear and energy consumption.

Q4: What happens if my AC is undersized?

An undersized AC unit will struggle to cool the space effectively, especially during peak heat. It will run constantly, leading to higher energy bills, reduced comfort, and potentially premature failure of the unit due to being overworked.

Q5: Does ceiling height affect AC tonnage?

Yes, ceiling height affects the total volume of air that needs to be conditioned. Higher ceilings mean more air volume, which generally requires a larger cooling capacity. Our calculator accounts for this by considering ceiling height in its adjustments.

Q6: How much does window heat gain contribute?

Window heat gain can be substantial, especially for large windows or those facing direct sunlight. It can account for 10-30% or even more of the total cooling load in some cases. Factors like window size, type (single/double pane, coatings), and orientation are critical.

Q7: Should I use the calculator for commercial spaces?

This calculator provides a good starting point for smaller commercial spaces. However, commercial buildings often have more complex factors like higher occupancy density, specialized equipment heat loads, ventilation requirements (HVAC codes), and different building materials, necessitating a professional load calculation.

Q8: What is the difference between BTU and Tonnage?

BTU (British Thermal Unit) is the standard unit measuring the amount of heat required to raise the temperature of one pound of water by one degree Fahrenheit. In air conditioning, BTU/hr measures the rate at which the AC unit can remove heat. Tonnage is a more convenient unit for larger capacities, where 1 Ton = 12,000 BTU/hr.

Q9: How does climate affect the AC tonnage per square foot calculation?

Climate is paramount. Hot and humid climates require higher tonnage due to both sensible heat (temperature) and latent heat (humidity) removal. Cooler climates need less. Our calculator uses generalized factors, but a detailed calculation would incorporate specific local climate data (e.g., ASHRAE design temperatures).

© 2023 Your Company Name. All rights reserved. | Disclaimer: This calculator provides estimates for informational purposes only. Consult with a qualified HVAC professional for precise system sizing and installation.
var baseBtuPerSqFt = 20; var baseOccupantHeat = 400; var baseApplianceHeat = 500; var btuPerTon = 12000; function validateInput(id, errorId, min, max, allowDecimal) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); errorDiv.style.display = 'none'; input.style.borderColor = '#ccc'; if (isNaN(value) || (allowDecimal === false && !Number.isInteger(value))) { errorDiv.textContent = "Please enter a valid number."; errorDiv.style.display = 'block'; input.style.borderColor = 'red'; return false; } if (value max) { errorDiv.textContent = "Value is too high."; errorDiv.style.display = 'block'; input.style.borderColor = 'red'; return false; } return true; } function calculateTonnage() { var sqFtValid = validateInput('squareFootage', 'squareFootageError', 0, null, true); var ceilingHeightValid = validateInput('ceilingHeight', 'ceilingHeightError', 0, 20, true); var windowAreaValid = validateInput('windowArea', 'windowAreaError', 0, null, true); var occupancyValid = validateInput('occupancy', 'occupancyError', 0, null, false); var appliancesValid = validateInput('heatGeneratingAppliances', 'heatGeneratingAppliancesError', 0, null, false); if (!sqFtValid || !ceilingHeightValid || !windowAreaValid || !occupancyValid || !appliancesValid) { document.getElementById('mainResult').textContent = '–'; document.getElementById('btuResult').textContent = '–'; document.getElementById('tonnagePerSqFt').textContent = '–'; document.getElementById('adjustedSqFt').textContent = '–'; updateChartAndTable(); return; } var squareFootage = parseFloat(document.getElementById('squareFootage').value); var ceilingHeight = parseFloat(document.getElementById('ceilingHeight').value); var insulationFactor = parseFloat(document.getElementById('insulationQuality').value); var windowArea = parseFloat(document.getElementById('windowArea').value); var sunExposureFactor = parseFloat(document.getElementById('sunExposure').value); var occupancy = parseInt(document.getElementById('occupancy').value); var heatGeneratingAppliances = parseInt(document.getElementById('heatGeneratingAppliances').value); // Simplified window factor based on area and sun exposure // This is a heuristic. A real calculation would be more complex. // Let's assume a base heat load per sq ft of window, adjusted by sun exposure. var windowHeatLoadPerSqFt = 15; // BTU/hr per sq ft of window var totalWindowHeat = windowArea * windowHeatLoadPerSqFt * sunExposureFactor; // Adjust base BTU/sq ft for ceiling height (volume effect) // Assuming standard 8ft ceiling, scale BTU/sq ft linearly var adjustedBaseBtuPerSqFt = baseBtuPerSqFt * (ceilingHeight / 8); // Calculate adjusted square footage based on insulation and sun exposure (excluding windows for now) // This is a simplification. A better approach is to calculate total load. var effectiveSqFt = squareFootage * insulationFactor; // Calculate total BTU load var areaLoad = effectiveSqFt * adjustedBaseBtuPerSqFt; var occupantLoad = occupancy * baseOccupantHeat; var applianceLoad = heatGeneratingAppliances * baseApplianceHeat; var totalBtu = areaLoad + occupantLoad + applianceLoad + totalWindowHeat; // Ensure total BTU is not negative if (totalBtu < 0) totalBtu = 0; var tonnage = totalBtu / btuPerTon; var tonnagePerSqFt = tonnage / squareFootage; // Update results display document.getElementById('mainResult').textContent = tonnage.toFixed(2); document.getElementById('btuResult').textContent = totalBtu.toFixed(0); document.getElementById('tonnagePerSqFt').textContent = tonnagePerSqFt.toFixed(4); document.getElementById('adjustedSqFt').textContent = effectiveSqFt.toFixed(0); updateChartAndTable(squareFootage, tonnage, tonnagePerSqFt); } function resetCalculator() { document.getElementById('squareFootage').value = ''; document.getElementById('ceilingHeight').value = '8'; document.getElementById('insulationQuality').value = '0.85'; document.getElementById('windowArea').value = ''; document.getElementById('sunExposure').value = '1.2'; document.getElementById('occupancy').value = '2'; document.getElementById('heatGeneratingAppliances').value = '1'; document.getElementById('squareFootageError').style.display = 'none'; document.getElementById('ceilingHeightError').style.display = 'none'; document.getElementById('windowAreaError').style.display = 'none'; document.getElementById('occupancyError').style.display = 'none'; document.getElementById('heatGeneratingAppliancesError').style.display = 'none'; document.getElementById('squareFootage').style.borderColor = '#ccc'; document.getElementById('ceilingHeight').style.borderColor = '#ccc'; document.getElementById('windowArea').style.borderColor = '#ccc'; document.getElementById('occupancy').style.borderColor = '#ccc'; document.getElementById('heatGeneratingAppliances').style.borderColor = '#ccc'; document.getElementById('mainResult').textContent = '–'; document.getElementById('btuResult').textContent = '–'; document.getElementById('tonnagePerSqFt').textContent = '–'; document.getElementById('adjustedSqFt').textContent = '–'; updateChartAndTable(); } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var btuResult = document.getElementById('btuResult').textContent; var tonnagePerSqFt = document.getElementById('tonnagePerSqFt').textContent; var adjustedSqFt = document.getElementById('adjustedSqFt').textContent; var assumptions = "Key Assumptions:\n"; assumptions += "- Base BTU/sq ft: 20\n"; assumptions += "- Base Ceiling Height: 8 ft\n"; assumptions += "- Base Occupant Heat: 400 BTU/person\n"; assumptions += "- Base Appliance Heat: 500 BTU/appliance\n"; assumptions += "- Window Heat Load Factor: 15 BTU/sq ft\n"; assumptions += "- 1 Ton of AC = 12,000 BTU/hour\n"; var textToCopy = "AC Tonnage Results:\n"; textToCopy += "——————\n"; textToCopy += "Required Tonnage: " + mainResult + " Tons\n"; textToCopy += "Estimated BTU: " + btuResult + " BTU/hr\n"; textToCopy += "Tonnage Density: " + tonnagePerSqFt + " Tons/sq ft\n"; textToCopy += "Adjusted Area: " + adjustedSqFt + " sq ft\n"; textToCopy += "\n" + assumptions; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Could not copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } // Charting Logic var ctx; var tonnageChart; function updateChartAndTable(currentSqFt = null, currentTonnage = null, currentTonnagePerSqFt = null) { var chartData = { labels: [], tonnageSeries: [], densitySeries: [] }; var sqFtValues = [200, 400, 600, 800, 1000, 1200, 1500, 2000, 2500, 3000]; // Example square footage points // Use default values if current inputs are not available for calculation var currentInsulation = currentSqFt ? parseFloat(document.getElementById('insulationQuality').value) : 0.85; var currentSunExposure = currentSqFt ? parseFloat(document.getElementById('sunExposure').value) : 1.2; var currentOccupancy = currentSqFt ? parseInt(document.getElementById('occupancy').value) : 2; var currentAppliances = currentSqFt ? parseInt(document.getElementById('heatGeneratingAppliances').value) : 1; var currentCeilingHeight = currentSqFt ? parseFloat(document.getElementById('ceilingHeight').value) : 8; var currentWindowArea = currentSqFt ? parseFloat(document.getElementById('windowArea').value) : (currentSqFt * 0.1); // Estimate window area if not provided for (var i = 0; i < sqFtValues.length; i++) { var sqFt = sqFtValues[i]; chartData.labels.push(sqFt + ' sq ft'); // Recalculate for chart data points using simplified logic var areaLoad = sqFt * (currentCeilingHeight / 8) * baseBtuPerSqFt * currentInsulation; var occupantLoad = currentOccupancy * baseOccupantHeat; var applianceLoad = currentAppliances * baseApplianceHeat; var windowHeatLoadPerSqFt = 15; var totalWindowHeat = (sqFt * 0.1) * windowHeatLoadPerSqFt * currentSunExposure; // Estimate window area based on sqFt var totalBtu = areaLoad + occupantLoad + applianceLoad + totalWindowHeat; if (totalBtu < 0) totalBtu = 0; var tonnage = totalBtu / btuPerTon; var density = tonnage / sqFt; chartData.tonnageSeries.push(tonnage.toFixed(2)); chartData.densitySeries.push(density.toFixed(4)); } // Update Table var tableBody = document.getElementById('guidelineTableBody'); tableBody.innerHTML = ''; // Clear existing rows var tableDataPoints = [ { range: '0 – 300', tonnage: '0.5 – 1.0', btu: '6,000 – 12,000' }, { range: '301 – 500', tonnage: '1.0 – 1.5', btu: '12,000 – 18,000' }, { range: '501 – 700', tonnage: '1.5 – 2.0', btu: '18,000 – 24,000' }, { range: '701 – 1000', tonnage: '2.0 – 2.5', btu: '24,000 – 30,000' }, { range: '1001 – 1500', tonnage: '2.5 – 3.0', btu: '30,000 – 36,000' }, { range: '1501 – 2000', tonnage: '3.0 – 4.0', btu: '36,000 – 48,000' } ]; tableDataPoints.forEach(function(item) { var row = tableBody.insertRow(); var cell1 = row.insertCell(0); var cell2 = row.insertCell(1); var cell3 = row.insertCell(2); cell1.textContent = item.range; cell2.textContent = item.tonnage; cell3.textContent = item.btu; }); // Initialize or update chart if (!ctx) { var canvas = document.getElementById('tonnageChart'); ctx = canvas.getContext('2d'); } if (tonnageChart) { tonnageChart.data.labels = chartData.labels; tonnageChart.data.datasets[0].data = chartData.tonnageSeries; tonnageChart.data.datasets[1].data = chartData.densitySeries; tonnageChart.options.plugins.title.text = 'AC Tonnage vs. Square Footage (Based on current inputs)'; tonnageChart.update(); } else { tonnageChart = new Chart(ctx, { type: 'bar', // Changed to bar for better visualization of discrete points data: { labels: chartData.labels, datasets: [{ label: 'Required Tonnage (Tons)', data: chartData.tonnageSeries, backgroundColor: 'rgba(0, 74, 153, 0.7)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1, yAxisID: 'yTonnage' }, { label: 'Tonnage Density (Tons/sq ft)', data: chartData.densitySeries, backgroundColor: 'rgba(40, 167, 69, 0.7)', // Success color borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1, yAxisID: 'yDensity' }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Space Square Footage' } }, yTonnage: { type: 'linear', position: 'left', title: { display: true, text: 'Tonnage (Tons)' }, ticks: { beginAtZero: true } }, yDensity: { type: 'linear', position: 'right', title: { display: true, text: 'Tons per Square Foot' }, ticks: { beginAtZero: true }, grid: { drawOnChartArea: false, // only want the grid lines for one axis to show up } } }, plugins: { title: { display: true, text: 'AC Tonnage vs. Square Footage (Based on current inputs)', font: { size: 16 } }, tooltip: { mode: 'index', intersect: false } }, hover: { mode: 'nearest', intersect: true } } }); } } // Add event listeners for real-time updates document.getElementById('squareFootage').addEventListener('input', calculateTonnage); document.getElementById('ceilingHeight').addEventListener('input', calculateTonnage); document.getElementById('insulationQuality').addEventListener('change', calculateTonnage); document.getElementById('windowArea').addEventListener('input', calculateTonnage); document.getElementById('sunExposure').addEventListener('change', calculateTonnage); document.getElementById('occupancy').addEventListener('input', calculateTonnage); document.getElementById('heatGeneratingAppliances').addEventListener('input', calculateTonnage); // Initialize chart and table on page load window.onload = function() { updateChartAndTable(); // Add FAQ toggle functionality var faqItems = document.querySelectorAll('.faq-item h3'); faqItems.forEach(function(item) { item.addEventListener('click', function() { var faqContent = this.nextElementSibling; this.parentElement.classList.toggle('active'); }); }); }; // Basic Chart.js integration (assuming Chart.js is available globally or included) // If Chart.js is not available, this part will fail. For a self-contained solution, // you'd need to embed Chart.js library or use SVG/Canvas directly. // For this example, we assume Chart.js is available. // If not, replace this with native canvas drawing or SVG. // Placeholder for Chart.js library if not included externally // In a real scenario, you'd include Chart.js via CDN or local file: // // Dummy Chart.js object if not loaded, to prevent errors during initial setup if (typeof Chart === 'undefined') { var Chart = function() { this.data = { labels: [], datasets: [] }; this.options = { scales: {}, plugins: { title: {} } }; this.update = function() { console.log("Chart.js not loaded. Cannot update."); }; console.warn("Chart.js library not found. Chart will not render."); }; Chart.defaults = { datasets: {} }; Chart.controllers = {}; }

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