Calculate Ac Tonnage

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AC Tonnage Calculator

Calculate the required AC tonnage for your space effortlessly.

AC Tonnage Calculation

Enter the total area of the space to be cooled in square feet.
Poor (e.g., no insulation) Average (e.g., standard insulation) Good (e.g., high-quality insulation) Select the quality of your building's insulation. Higher quality means less heat transfer.
Enter the average height of your ceilings in feet.
Low (e.g., shaded room, north-facing) Moderate (e.g., some direct sun) High (e.g., direct sun all day, south-facing) Assess how much direct sunlight the space receives.
Each person adds heat. Use an estimate of typical occupancy.
Count major heat-producing appliances (e.g., computers, ovens, lights if not LED).

Your AC Sizing Results

The primary calculation is based on square footage, adjusted for insulation, ceiling height, sun exposure, occupancy, and heat-generating appliances. BTU = (SqFt * SqFtFactor) + (Occupants * 600) + (Appliances * 400). Tonnage = BTU / 12,000.

Impact of Room Size on Required Tonnage
Typical BTU Factors Based on Insulation
Insulation Quality BTU per Square Foot (Estimated) Typical Use Case
Poor 12 Uninsulated attics, old homes with no insulation, drafty windows.
Average 15 Standard modern homes with typical insulation levels.
Good 18 Well-insulated homes, new construction with high R-value insulation.

What is AC Tonnage? Understanding HVAC Sizing

AC tonnage, often referred to as HVAC tonnage or just tonnage, is a unit of measurement used to describe the cooling capacity of an air conditioning system. Contrary to what the name might suggest, it doesn't refer to the physical weight of the air conditioner. Instead, it represents the amount of heat an AC unit can remove from a space in a specific timeframe. One ton of cooling capacity is equivalent to removing 12,000 British Thermal Units (BTUs) of heat per hour. Therefore, a 2-ton AC unit can remove 24,000 BTUs per hour. Properly calculating the required AC tonnage for your home or building is crucial for efficient operation, consistent comfort, and the longevity of your HVAC system. An undersized unit will struggle to cool the space adequately, running constantly and leading to premature wear. An oversized unit will cool the space too quickly, leading to short cycling, poor humidity control, and inefficient energy consumption.

Who Should Use AC Tonnage Calculation?

Anyone involved in selecting, installing, or replacing an air conditioning system should understand AC tonnage. This includes:

  • Homeowners planning to install a new AC unit or replace an old one.
  • Building contractors and HVAC technicians ensuring correct system sizing for new constructions or renovations.
  • Property managers responsible for maintaining the comfort and efficiency of rental properties.
  • Anyone looking to understand the cooling needs of a specific room or zone within a larger building.

Common Misconceptions About AC Tonnage

Several common misconceptions surround AC tonnage:

  • Weight vs. Capacity: The most common mistake is believing "tonnage" refers to the weight of the unit. It's purely a measure of cooling power.
  • Bigger is Always Better: Overestimating tonnage leads to inefficient operation, as discussed, and can actually make your home less comfortable.
  • One Size Fits All: Every space is unique. Factors like insulation, window placement, climate, and occupancy drastically affect the required AC tonnage. A simple square footage calculation is often insufficient.
  • Tonnage Equals Energy Consumption: While larger tonnage units generally consume more power, efficiency ratings (SEER) play a huge role. A high-efficiency 3-ton unit might use less energy than an old, inefficient 2-ton unit.

AC Tonnage Formula and Mathematical Explanation

Calculating AC tonnage involves estimating the total heat load a space generates and then converting that into BTUs, which are then divided by 12,000 to get the tonnage. A comprehensive calculation considers multiple heat sources. Our calculator uses a refined approach:

Base Heat Load Calculation: $Base BTU = Square Footage \times BTU Factor$ The BTU Factor varies based on insulation quality, acting as a multiplier to account for heat transfer through walls and the roof. A typical range is from 12 BTU/sq ft (poor insulation) to 18 BTU/sq ft (good insulation).

Adjustments for Other Factors: $Occupancy BTU = Number of Occupants \times 600$ (Each person adds approximately 600 BTU/hr of body heat) $Appliance BTU = Number of Heat-Generating Appliances \times 400$ (Each appliance adds approximately 400 BTU/hr) $Ceiling Volume Adjustment = (Average Ceiling Height – 8) \times Square Footage \times 0.1$ (Adds extra capacity for higher ceilings) $Sun Exposure Multiplier = Sun Exposure Factor$ (A multiplier applied to the base calculation to account for solar heat gain)

Total Estimated Heat Load (BTU): $Total BTU = (Base BTU + Occupancy BTU + Appliance BTU + Ceiling Volume Adjustment) \times Sun Exposure Multiplier$

Final Tonnage Calculation: $Tonnage = Total BTU / 12,000$

Variable Explanations

Calculation Variables
Variable Meaning Unit Typical Range
Square Footage The total floor area of the space to be cooled. Square Feet (sq ft) 100 – 2000+
BTU Factor Estimated heat transfer per square foot based on insulation. BTU/sq ft 12 – 18
Average Ceiling Height The typical height of the ceilings in the space. Feet (ft) 7 – 12+
Sun Exposure Factor Multiplier reflecting solar heat gain. Multiplier (unitless) 1.0 – 1.3
Number of Occupants Estimated number of people regularly occupying the space. People 1 – 10+
Number of Heat-Generating Appliances Count of significant heat-producing devices. Appliances 0 – 5+
BTU British Thermal Units, measure of heat energy. BTU/hour Varies widely
Tonnage Cooling capacity of the AC system. Tons 0.5 – 5+

Practical Examples (Real-World Use Cases)

Example 1: Standard Living Room

Consider a living room that is 400 sq ft with an average ceiling height of 8 ft. The home has average insulation, moderate sun exposure, and typically 3 occupants. There's also one primary heat-generating appliance (a large TV).

  • Square Footage: 400 sq ft
  • Insulation Quality: Average (BTU Factor = 15)
  • Ceiling Height: 8 ft
  • Sun Exposure: Moderate (Factor = 1.15)
  • Occupants: 3
  • Heat-Generating Appliances: 1

Calculation Breakdown:

  • Base BTU = 400 sq ft * 15 BTU/sq ft = 6,000 BTU
  • Occupancy BTU = 3 occupants * 600 BTU/occupant = 1,800 BTU
  • Appliance BTU = 1 appliance * 400 BTU/appliance = 400 BTU
  • Ceiling Volume Adjustment = (8 ft – 8 ft) * 400 sq ft * 0.1 = 0 BTU
  • Total BTU (Pre-Multiplier) = 6,000 + 1,800 + 400 + 0 = 8,200 BTU
  • Total BTU (Final) = 8,200 BTU * 1.15 (Sun Exposure) = 9,430 BTU
  • Tonnage = 9,430 BTU / 12,000 BTU/ton ≈ 0.79 tons

Result Interpretation: A 0.79-ton AC is needed. Since AC units are typically available in increments (e.g., 0.5, 1, 1.5 tons), a 1-ton unit would likely be the closest and most practical choice, offering a slight buffer for peak conditions. This indicates that for a standard-sized room with average conditions, a smaller capacity unit suffices.

Example 2: Large, Sunny Bedroom

Consider a master bedroom measuring 600 sq ft with high ceilings of 10 ft. The room has poor insulation and significant sun exposure (south-facing window). It's usually occupied by 2 people, and there's a computer and a large monitor generating heat.

  • Square Footage: 600 sq ft
  • Insulation Quality: Poor (BTU Factor = 12)
  • Ceiling Height: 10 ft
  • Sun Exposure: High (Factor = 1.3)
  • Occupants: 2
  • Heat-Generating Appliances: 2

Calculation Breakdown:

  • Base BTU = 600 sq ft * 12 BTU/sq ft = 7,200 BTU
  • Occupancy BTU = 2 occupants * 600 BTU/occupant = 1,200 BTU
  • Appliance BTU = 2 appliances * 400 BTU/appliance = 800 BTU
  • Ceiling Volume Adjustment = (10 ft – 8 ft) * 600 sq ft * 0.1 = 120 BTU
  • Total BTU (Pre-Multiplier) = 7,200 + 1,200 + 800 + 120 = 9,320 BTU
  • Total BTU (Final) = 9,320 BTU * 1.3 (Sun Exposure) = 12,116 BTU
  • Tonnage = 12,116 BTU / 12,000 BTU/ton ≈ 1.01 tons

Result Interpretation: The calculation suggests approximately 1.01 tons. Given the poor insulation and high sun exposure, even with fewer occupants and appliances than Example 1, the heat load is significant. A 1.25-ton or 1.5-ton unit would be the recommended choice to ensure adequate cooling capacity and prevent the AC from running constantly. This highlights how external factors can dramatically increase cooling needs.

How to Use This AC Tonnage Calculator

Using our AC tonnage calculator is straightforward and designed to give you a precise estimate for your HVAC needs.

  1. Enter Room Size: Input the total square footage of the area you need to cool.
  2. Assess Insulation Quality: Choose the option that best describes your home's insulation (Poor, Average, Good). This significantly impacts heat transfer.
  3. Measure Ceiling Height: Provide the average ceiling height in feet. Higher ceilings mean more air volume to cool.
  4. Evaluate Sun Exposure: Select the level of direct sunlight the space receives (Low, Moderate, High).
  5. Count Occupants: Estimate the typical number of people who will regularly occupy the space.
  6. Factor in Appliances: Count major heat-generating appliances (e.g., computers, gaming consoles, older incandescent lighting).
  7. Click 'Calculate Tonnage': The calculator will instantly process your inputs.

How to Read Results

The calculator will display:

  • Primary Result (Tonnage): This is the estimated cooling capacity required, measured in tons.
  • Intermediate Values: You'll see the calculated total BTUs, the estimated volume (sq ft * ceiling height), and the adjusted heat load considering all factors.
  • Formula Explanation: A brief overview of the calculation method used.

Decision-Making Guidance: The calculated tonnage is an estimate. It's always recommended to consult with a qualified HVAC professional. They can perform a detailed Manual J load calculation, which is the industry standard, considering more nuanced factors like window type, climate zone, and ductwork efficiency. Use the calculator's result as a strong starting point for discussion with your HVAC technician. It helps you understand the ballpark figure and ask informed questions. For AC sizing, it's often better to round up slightly if you are between sizes, especially in hot climates or if you have poor insulation.

Key Factors That Affect AC Tonnage Results

Several critical factors influence the required AC tonnage beyond basic square footage. Understanding these helps in accurate estimation and efficient system selection:

  • Climate Zone: Your geographical location significantly impacts cooling needs. Homes in hot, humid climates require larger tonnage units than those in cooler regions. High ambient temperatures and humidity increase the heat load on the AC system.
  • Insulation Quality: As seen in our calculator, insulation is paramount. Well-insulated homes resist heat transfer from the outside, reducing the AC's workload and required tonnage. Poor insulation allows heat to penetrate easily, demanding a larger system. This impacts HVAC sizing calculations.
  • Window Efficiency and Orientation: The number, size, type (single-pane vs. double-pane, Low-E coating), and orientation (north-facing vs. south-facing) of windows affect solar heat gain. Large, poorly insulated, south-facing windows can drastically increase the heat load, necessitating a higher AC tonnage. Considering window treatments can also help.
  • Air Leakage (Infiltration): Drafts and air leaks around doors, windows, and electrical outlets allow hot outside air to enter and cool inside air to escape. This infiltration increases the cooling load. Sealing these leaks improves AC efficiency and can potentially reduce required tonnage.
  • Occupancy Density: Every person in a room generates body heat (around 600 BTU/hr). A room frequently used by many people will require a higher tonnage AC than a similar-sized room used by only one or two. This is a key variable in accurate home comfort calculation.
  • Internal Heat Loads: Appliances like computers, televisions, ovens, dryers, and even incandescent lighting generate significant heat. The more heat-producing devices present and operating in a space, the higher the AC tonnage needed. Modern LED lighting generates much less heat than older types. Proper appliance selection matters.
  • Ductwork Condition: Leaky or poorly insulated ductwork can lose a significant amount of conditioned air before it reaches the intended space, effectively increasing the cooling load on the central AC system. Ensuring efficient ductwork sealing is vital.
  • Room Usage and Schedule: A room used constantly during the hottest parts of the day will have different cooling needs than a room used only in the evenings or on weekends. Accounting for peak usage times is important for HVAC system planning.

Frequently Asked Questions (FAQ)

What is the difference between BTU and Tonnage?

BTU (British Thermal Unit) is the standard unit for measuring heat energy. In HVAC, it specifically refers to the amount of heat an air conditioner can remove per hour. Tonnage is a derived unit, where 1 ton of cooling is equivalent to 12,000 BTUs per hour. So, tonnage is simply a convenient way to express a system's cooling capacity in larger, rounder numbers.

How accurate is this AC tonnage calculator?

This calculator provides a good estimate based on common industry formulas and factors. However, it is not a substitute for a professional Manual J load calculation performed by an HVAC technician. Factors like local climate variations, specific window performance, building materials, and ductwork efficiency are complex and best assessed by a professional.

What happens if my AC is oversized?

An oversized AC unit cools the space too quickly, leading to short-cycling (frequent on-off cycles). This prevents the unit from adequately dehumidifying the air, resulting in a cold, clammy feeling. Short-cycling also puts more wear and tear on the system components, potentially reducing its lifespan and increasing maintenance costs. It's generally less efficient than a properly sized unit.

What happens if my AC is undersized?

An undersized AC unit will struggle to cool the space to the desired temperature, especially during peak heat periods. It will run constantly, consuming more energy than necessary without achieving comfort. This continuous operation leads to excessive wear and tear, increasing the risk of breakdowns and premature failure.

Do I need a different tonnage for different rooms?

Yes, ideally. Central HVAC systems aim to balance the cooling load across the entire house. However, some rooms naturally have higher loads (e.g., south-facing rooms, kitchens, attics). For significantly different needs, consider zoning systems or ductless mini-splits for individual room control. Our calculator can help determine the needs for individual spaces.

How does climate affect AC tonnage?

Climate is a major factor. In hot and humid regions (like the Southern US), AC units need to handle both high temperatures and high humidity, requiring higher tonnage and potentially higher SEER ratings for efficiency. In cooler, drier climates, the cooling load might be lower.

Can I use this calculator for commercial spaces?

This calculator is primarily designed for residential spaces. Commercial buildings often have much larger and more complex HVAC requirements, influenced by factors like higher occupancy density, specialized equipment, and different ventilation standards. Commercial HVAC sizing requires professional assessment.

What is SEER rating, and how does it relate to tonnage?

SEER (Seasonal Energy Efficiency Ratio) measures the energy efficiency of an air conditioner over a cooling season. It's independent of tonnage, which measures cooling capacity. A higher SEER rating means the unit uses less electricity to produce the same amount of cooling. You can have high-tonnage units with high or low SEER ratings. It's important to balance proper sizing (tonnage) with energy efficiency (SEER) for optimal performance and cost savings.

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Disclaimer: This calculator provides estimates for informational purposes only. Consult with a qualified HVAC professional for precise system sizing and installation.

var squareFootageInput = document.getElementById('squareFootage'); var insulationQualitySelect = document.getElementById('insulationQuality'); var ceilingHeightInput = document.getElementById('ceilingHeight'); var sunExposureSelect = document.getElementById('sunExposure'); var occupancyInput = document.getElementById('occupancy'); var heatGeneratingAppliancesInput = document.getElementById('heatGeneratingAppliances'); var squareFootageError = document.getElementById('squareFootageError'); var insulationQualityError = document.getElementById('insulationQualityError'); var ceilingHeightError = document.getElementById('ceilingHeightError'); var sunExposureError = document.getElementById('sunExposureError'); var occupancyError = document.getElementById('occupancyError'); var heatGeneratingAppliancesError = document.getElementById('heatGeneratingAppliancesError'); var resultsContainer = document.getElementById('results-container'); var primaryResult = document.getElementById('primaryResult'); var intermediateBTU = document.getElementById('intermediateBTU'); var intermediateVolume = document.getElementById('intermediateVolume'); var intermediateHeatLoad = document.getElementById('intermediateHeatLoad'); var chart; var chartContext = document.getElementById('acChart').getContext('2d'); function validateInput(inputElement, errorElement, minValue, maxValue) { var value = parseFloat(inputElement.value); var isValid = true; errorElement.style.display = 'none'; // Hide previous error if (isNaN(value)) { errorElement.innerText = 'Please enter a valid number.'; errorElement.style.display = 'block'; isValid = false; } else if (value maxValue) { errorElement.innerText = 'Value out of range.'; errorElement.style.display = 'block'; isValid = false; } return isValid; } function calculateTonnage() { var isValid = true; // Validate inputs isValid &= validateInput(squareFootageInput, squareFootageError, 0); isValid &= validateInput(ceilingHeightInput, ceilingHeightError, 0); isValid &= validateInput(occupancyInput, occupancyError, 0); isValid &= validateInput(heatGeneratingAppliancesInput, heatGeneratingAppliancesError, 0); if (!isValid) { resultsContainer.classList.remove('visible'); return; } var sqFt = parseFloat(squareFootageInput.value); var insulationFactor = parseFloat(insulationQualitySelect.value); var ceilingHeight = parseFloat(ceilingHeightInput.value); var sunMultiplier = parseFloat(sunExposureSelect.value); var occupants = parseFloat(occupancyInput.value); var appliances = parseFloat(heatGeneratingAppliancesInput.value); var BTU_PER_PERSON = 600; var BTU_PER_APPLIANCE = 400; var BASE_CEILING_HEIGHT = 8; var BTU_PER_TON = 12000; // Calculations var baseBTU = sqFt * insulationFactor; var occupancyBTU = occupants * BTU_PER_PERSON; var applianceBTU = appliances * BTU_PER_APPLIANCE; var volumeAdjustment = Math.max(0, ceilingHeight – BASE_CEILING_HEIGHT) * sqFt * 0.1; // Ensure adjustment isn't negative if ceiling is below 8ft var totalBTUPreMultiplier = baseBTU + occupancyBTU + applianceBTU + volumeAdjustment; var totalBTU = totalBTUPreMultiplier * sunMultiplier; var tonnage = totalBTU / BTU_PER_TON; // Format results var formattedTonnage = tonnage.toFixed(2); var formattedBTU = totalBTU.toFixed(0); var formattedVolume = (sqFt * ceilingHeight).toFixed(0); var formattedHeatLoad = totalBTUPreMultiplier.toFixed(0); // Display results primaryResult.innerText = formattedTonnage + " Tons"; intermediateBTU.innerHTML = 'Estimated Total BTUs: ' + formattedBTU + ' BTU/hr'; intermediateVolume.innerHTML = 'Total Volume (approx): ' + formattedVolume + ' cubic feet'; intermediateHeatLoad.innerHTML = 'Adjusted Heat Load: ' + formattedHeatLoad + ' BTU/hr (before sun multiplier)'; resultsContainer.classList.add('visible'); updateChart(); } function resetForm() { squareFootageInput.value = "; insulationQualitySelect.value = '15'; // Average ceilingHeightInput.value = "; sunExposureSelect.value = '1.15'; // Moderate occupancyInput.value = '2'; heatGeneratingAppliancesInput.value = '1'; squareFootageError.style.display = 'none'; insulationQualityError.style.display = 'none'; ceilingHeightError.style.display = 'none'; sunExposureError.style.display = 'none'; occupancyError.style.display = 'none'; heatGeneratingAppliancesError.style.display = 'none'; resultsContainer.classList.remove('visible'); primaryResult.innerText = '–'; intermediateBTU.innerHTML = "; intermediateVolume.innerHTML = "; intermediateHeatLoad.innerHTML = "; if(chart) { chart.destroy(); } initializeChart(); // Re-initialize chart with default data } function copyResults() { var resultText = "AC Tonnage Calculation Results:\n\n"; resultText += "Tonnage: " + primaryResult.innerText + "\n"; resultText += intermediateBTU.innerText + "\n"; resultText += intermediateVolume.innerText + "\n"; resultText += intermediateHeatLoad.innerText + "\n\n"; resultText += "Key Assumptions:\n"; resultText += "- Room Size: " + squareFootageInput.value + " sq ft\n"; resultText += "- Insulation: " + insulationQualitySelect.options[insulationQualitySelect.selectedIndex].text + "\n"; resultText += "- Ceiling Height: " + ceilingHeightInput.value + " ft\n"; resultText += "- Sun Exposure: " + sunExposureSelect.options[sunExposureSelect.selectedIndex].text + "\n"; resultText += "- Occupants: " + occupancyInput.value + "\n"; resultText += "- Heat Appliances: " + heatGeneratingAppliancesInput.value + "\n"; var textArea = document.createElement("textarea"); textArea.value = resultText; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied successfully!' : 'Failed to copy results.'; // Optional: Show a temporary message to the user alert(msg); } catch (err) { console.error('Unable to copy results', err); alert('Failed to copy results.'); } document.body.removeChild(textArea); } function updateChart() { if (!chart) { initializeChart(); } var sqFtValues = [200, 400, 600, 800, 1000, 1200]; // Example square footage values var tonnageData = []; var btuData = []; var currentSqFt = parseFloat(squareFootageInput.value); var currentInsulationFactor = parseFloat(insulationQualitySelect.value); var currentCeilingHeight = parseFloat(ceilingHeightInput.value); var currentSunMultiplier = parseFloat(sunExposureSelect.value); var currentOccupants = parseFloat(occupancyInput.value); var currentAppliances = parseFloat(heatGeneratingAppliancesInput.value); var BTU_PER_PERSON = 600; var BTU_PER_APPLIANCE = 400; var BASE_CEILING_HEIGHT = 8; var BTU_PER_TON = 12000; sqFtValues.forEach(function(sqFt) { var baseBTU = sqFt * currentInsulationFactor; var occupancyBTU = currentOccupants * BTU_PER_PERSON; var applianceBTU = currentAppliances * BTU_PER_APPLIANCE; var volumeAdjustment = Math.max(0, currentCeilingHeight – BASE_CEILING_HEIGHT) * sqFt * 0.1; var totalBTUPreMultiplier = baseBTU + occupancyBTU + applianceBTU + volumeAdjustment; var totalBTU = totalBTUPreMultiplier * currentSunMultiplier; var tonnage = totalBTU / BTU_PER_TON; tonnageData.push(tonnage.toFixed(2)); btuData.push(totalBTU.toFixed(0)); }); chart.data.labels = sqFtValues.map(function(sqFt) { return sqFt + ' sq ft'; }); chart.data.datasets[0].data = tonnageData; chart.data.datasets[0].label = 'Estimated Tonnage'; chart.data.datasets[1].data = btuData; chart.data.datasets[1].label = 'Estimated BTUs'; chart.update(); } function initializeChart() { // Default values for initial chart display var sqFtValues = [200, 400, 600, 800, 1000, 1200]; var tonnageData = sqFtValues.map(function() { return 0; }); var btuData = sqFtValues.map(function() { return 0; }); chart = new Chart(chartContext, { type: 'bar', // Using bar chart for clearer comparison of values data: { labels: sqFtValues.map(function(sqFt) { return sqFt + ' sq ft'; }), datasets: [ { label: 'Estimated Tonnage', data: tonnageData, backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1, yAxisID: 'tonnageAxis' // Assign to tonnage y-axis }, { label: 'Estimated BTUs', data: btuData, backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1, yAxisID: 'btuAxis' // Assign to btu y-axis } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Room Size (Square Footage)' } }, tonnageAxis: { type: 'linear', position: 'left', title: { display: true, text: 'Tonnage (Tons)' }, grid: { drawOnChartArea: false // Only draw grid lines for the primary axis }, ticks: { beginAtZero: true } }, btuAxis: { type: 'linear', position: 'right', title: { display: true, text: 'BTUs/hour' }, grid: { drawOnChartArea: true // Draw grid lines for both axes if desired, or false for one }, ticks: { beginAtZero: true, callback: function(value) { if (value >= 1000) { return value / 1000 + 'k'; } return value; } } } }, plugins: { tooltip: { mode: 'index', intersect: false }, legend: { position: 'top' } }, hover: { mode: 'nearest', intersect: true } } }); } // Initialize chart on load if (typeof Chart !== 'undefined') { initializeChart(); // Add initial calculation to populate chart with some default values if inputs are empty calculateTonnage(); } else { console.error("Chart.js library not found. Please include it in your HTML."); } // Add event listeners for real-time updates and validation document.getElementById('acTonnageForm').addEventListener('input', function() { calculateTonnage(); }); // FAQ toggle var faqItems = document.querySelectorAll('.faq-item h4'); faqItems.forEach(function(item) { item.addEventListener('click', function() { var faqContent = this.nextElementSibling; var faqItem = this.parentElement; if (faqContent.style.display === 'block') { faqContent.style.display = 'none'; faqItem.classList.remove('active'); } else { faqContent.style.display = 'block'; faqItem.classList.add('active'); } }); });

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