Area Weighted Average U Value Calculation

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Area Weighted Average U-Value Calculator

Calculate the thermal transmittance (U-value) of composite building elements, weighted by their respective areas.

Name for this specific building element.
Enter the area of this element in square meters.
Enter the U-value of this specific element in Watts per square meter Kelvin.

Area Weighted Average U-Value

— W/m²K

Calculation Breakdown

  • Total Area: — m²
  • Sum of (Area * U-Value): — W/m
  • Number of Elements: 0

Formula Used

The area-weighted average U-value is calculated by summing the product of each element's area and its U-value, then dividing by the total area of all elements. This gives a single U-value that represents the thermal performance of the entire composite element.

Formula: Uavg = Σ(Ai * Ui) / ΣAi

Where Ai is the area of an individual element and Ui is its U-value.

Individual Element Data
Element Name Area (m²) U-Value (W/m²K) Area * U-Value (W/m) Actions

U-Value Distribution

Results copied to clipboard!

What is Area Weighted Average U-Value Calculation?

The area weighted average U-value calculation is a fundamental process in building physics and energy efficiency assessment. It determines the overall thermal performance of a composite building element, such as a wall, roof, or floor, which is made up of different materials or sections, each with its own thermal transmittance (U-value) and area. Instead of using a simple average, which would inaccurately represent the heat loss, the area-weighted average considers the proportion of each section's area relative to the total area. This ensures that larger sections have a greater influence on the final average U-value, providing a more realistic measure of heat transfer through the entire element. Understanding and accurately calculating the area weighted average U-value is crucial for architects, builders, energy consultants, and homeowners aiming to improve building insulation, reduce energy consumption, and comply with building regulations.

Who should use it:

  • Building designers and architects specifying materials and constructions.
  • Construction professionals verifying insulation performance on-site.
  • Energy auditors assessing existing buildings for retrofits.
  • Homeowners interested in understanding their home's thermal performance and potential for improvement.
  • Manufacturers of building components that are part of larger assemblies.

Common misconceptions:

  • Confusing with simple average: A simple average doesn't account for the size of each section. A small, poorly insulated section could be averaged out by large, well-insulated ones, giving a false impression of good overall performance.
  • Ignoring bridging effects: The calculation often assumes uniform conditions. Thermal bridges (like studs in a wall) can significantly increase heat loss and require separate analysis, although the weighted average provides a baseline.
  • Treating all U-values equally: The core principle is that larger areas contribute more to overall heat loss, hence the weighting.

Area Weighted Average U-Value Formula and Mathematical Explanation

The calculation is straightforward but requires careful attention to the details of each component part of the building element. It ensures that the thermal performance is representative of the entire assembly.

Step-by-step derivation:

  1. Identify Components: Break down the building element into distinct sections or components (e.g., insulated panel, window, door, structural timber frame).
  2. Determine Area (Ai): For each component, measure or calculate its surface area in square meters (m²).
  3. Determine U-Value (Ui): Find or calculate the U-value for each individual component in Watts per square meter Kelvin (W/m²K).
  4. Calculate Product: For each component, multiply its area by its U-value: (Ai * Ui). This product represents the heat transfer rate (in Watts) through that specific component for a 1 Kelvin temperature difference across it.
  5. Sum Products: Add up all the (Ai * Ui) values calculated in the previous step. This gives the total heat transfer rate for the entire composite element.
  6. Sum Areas: Add up all the individual component areas (ΣAi) to find the total area of the composite element.
  7. Calculate Average: Divide the sum of the products (Step 5) by the sum of the areas (Step 6).

Variable explanations:

The primary variables involved in the area weighted average U-value calculation are:

  • Ai (Area of Individual Component): The surface area of a specific part of the building element.
  • Ui (U-Value of Individual Component): The thermal transmittance of a specific part of the building element, indicating how easily heat passes through it.
  • Atotal (Total Area): The sum of all individual component areas (ΣAi).
  • Uavg (Area Weighted Average U-Value): The final calculated U-value for the entire composite element.

Variables Table:

Area Weighted Average U-Value Variables
Variable Meaning Unit Typical Range
Ai Area of an individual component m² (square meters) 0.1 to 100+
Ui U-Value of an individual component W/m²K (Watts per square meter Kelvin) 0.05 (highly insulated) to 5.0+ (poorly insulated/ventilated)
Atotal Total area of the composite element m² (square meters) Sum of Ai
Uavg Area Weighted Average U-Value W/m²K (Watts per square meter Kelvin) Typically 0.1 to 2.0 for modern construction elements

Practical Examples (Real-World Use Cases)

Example 1: Composite Wall Section

Consider a section of a wall with a window. The wall has insulation and framing, while the window is a distinct element with different thermal properties.

  • Total Wall Section Area: 12 m²
  • Window Area (Awindow): 2.5 m²
  • Wall Area (excluding window) (Awall): 12 m² – 2.5 m² = 9.5 m²
  • U-Value of the Wall Construction (Uwall): 0.25 W/m²K
  • U-Value of the Window (Uwindow): 1.4 W/m²K

Calculation:

  • Sum of (Area * U-Value) = (Awall * Uwall) + (Awindow * Uwindow)
  • = (9.5 m² * 0.25 W/m²K) + (2.5 m² * 1.4 W/m²K)
  • = 2.375 W/m + 3.5 W/m
  • = 5.875 W/m
  • Total Area = Awall + Awindow = 9.5 m² + 2.5 m² = 12 m²
  • Area Weighted Average U-Value = 5.875 W/m / 12 m² = 0.49 W/m²K

Interpretation: The calculated U-value of 0.49 W/m²K reflects that while the main wall is well-insulated, the less efficient window significantly increases the overall heat transfer rate for this section of the building envelope. This value is crucial for energy performance calculations.

Example 2: Flat Roof Construction

A flat roof consists of multiple layers, but for simplicity, we'll consider it as two main areas: the main insulated roof area and a skylight.

  • Total Roof Area: 50 m²
  • Skylight Area (Askylight): 3 m²
  • Main Roof Area (excluding skylight) (Aroof): 50 m² – 3 m² = 47 m²
  • U-Value of Main Roof Construction (Uroof): 0.18 W/m²K
  • U-Value of Skylight Unit (Uskylight): 2.2 W/m²K

Calculation:

  • Sum of (Area * U-Value) = (Aroof * Uroof) + (Askylight * Uskylight)
  • = (47 m² * 0.18 W/m²K) + (3 m² * 2.2 W/m²K)
  • = 8.46 W/m + 6.6 W/m
  • = 15.06 W/m
  • Total Area = Aroof + Askylight = 47 m² + 3 m² = 50 m²
  • Area Weighted Average U-Value = 15.06 W/m / 50 m² = 0.30 W/m²K

Interpretation: Even though the skylight is only a small fraction of the total roof area (6%), its much higher U-value significantly impacts the overall average, raising it from 0.18 W/m²K (if it were solid) to 0.30 W/m²K. This highlights the importance of specifying high-performance glazing for openings.

How to Use This Area Weighted Average U-Value Calculator

Our calculator simplifies the process of determining the thermal performance of complex building elements. Follow these steps for accurate results:

  1. Enter Element Details: In the "Element Name" field, give a descriptive name to the first section of your building element (e.g., "Insulated Wall Panel," "Double Glazed Window").
  2. Input Area: Enter the precise surface area of this section in square meters (m²) into the "Area" field.
  3. Input U-Value: Enter the known U-value for this specific section in Watts per square meter Kelvin (W/m²K) into the "U-Value" field. If you don't know the U-value, you may need to calculate it based on the material layers or consult manufacturer specifications.
  4. Add Element: Click the "Add Element" button. This adds the data to the table below and updates the intermediate and final average U-value calculations in real-time.
  5. Repeat for All Sections: Continue entering details for each distinct section (different materials, windows, doors, structural elements, etc.) that make up your total building element. Each addition refines the overall calculation.
  6. Review Results: Once all sections are added, the "Area Weighted Average U-Value" will be displayed prominently. You can also see the total area and the sum of (Area * U-Value) in the "Calculation Breakdown."
  7. Examine the Table: The table provides a clear summary of each element entered, allowing for verification.
  8. Use the Chart: The dynamic chart visually represents the contribution of each element's heat transfer (Area * U-Value) to the total, helping to identify which sections are the biggest contributors to heat loss.
  9. Copy Results: Use the "Copy Results" button to easily transfer the calculated average U-value, intermediate values, and key assumptions to your reports or notes.
  10. Reset: If you need to start over, click the "Reset" button to clear all entered data and calculations.

How to read results: A lower average U-value indicates better thermal insulation and less heat loss. This is desirable for energy efficiency. The primary result, "Area Weighted Average U-Value," gives you a single metric for the entire composite element.

Decision-making guidance: Compare the calculated average U-value against building code requirements or energy efficiency targets. If the U-value is too high, you may need to consider improving the insulation of the largest contributing sections or replacing less efficient components (like windows) with better-performing ones. Understanding the contribution of each part helps in making targeted upgrades.

Key Factors That Affect Area Weighted Average U-Value Results

Several factors significantly influence the outcome of an area weighted average U-value calculation, impacting a building's overall thermal performance and energy efficiency.

  1. Area Proportions: This is the most direct factor. Larger areas with higher U-values will disproportionately increase the average U-value, indicating greater heat loss. Conversely, a small area with a very high U-value will have a less significant impact on the overall average than if it were a larger section.
  2. Individual U-Values: The U-value of each component is critical. High U-values (poor insulation) in any significant area will drive the average up. For example, a large, poorly insulated window will have a dramatic effect on the average U-value of a wall section.
  3. Thermal Bridging: While not always explicitly calculated in a simple area-weighted average, components like structural studs (in walls or roofs) often have lower U-values than the insulation filling the gaps between them. These junctions act as thermal bridges, allowing heat to bypass the main insulation. Accurately accounting for these or using U-values that already incorporate typical bridging effects is essential.
  4. Material Properties & Thickness: The thermal conductivity (lambda value) and thickness of materials within each component directly determine its U-value. Thicker insulation layers or materials with lower conductivity will result in lower U-values for that specific section.
  5. Moisture Content: Water is a poor insulator. If building materials become wet (due to leaks or interstitial condensation), their thermal conductivity increases, leading to higher U-values and reduced performance. This is particularly relevant for existing buildings.
  6. Installation Quality: Gaps, voids, or compression in insulation materials, or poor sealing around windows and doors, can create thermal bypasses and increase effective U-values far beyond theoretical calculations. The "as-built" U-value can be much worse than the design U-value.
  7. Air Leakage: While U-value measures conductive and convective heat transfer through the fabric, air leakage (infiltration and exfiltration) represents heat loss via air movement. This is a separate but equally important factor in overall building energy performance. High air leakage can negate the benefits of good insulation.

Understanding these factors helps in making informed decisions during the design and construction phases to achieve optimal thermal performance. Accurate area weighted average U-value calculation is the first step.

Frequently Asked Questions (FAQ)

Q1: What is the difference between U-value and R-value?

A: U-value and R-value are inversely related measures of thermal resistance. U-value (Watts per square meter Kelvin, W/m²K) measures heat transfer rate (lower is better), while R-value (square meter Kelvin per Watt, m²K/W) measures resistance to heat transfer (higher is better). U = 1/R.

Q2: How do I find the U-value for specific materials or products?

A: U-values are typically provided by manufacturers for specific products (like windows or insulation panels). For built-up elements, U-values can be calculated based on the thermal conductivity (lambda value) and thickness of each layer, often using standards like EN ISO 6946. Our calculator uses pre-determined U-values for each component.

Q3: Can this calculator handle complex elements with more than 5 sections?

A: Yes, the calculator is designed to add an unlimited number of elements. Simply continue entering data and clicking "Add Element" for each section of your building component. The table and calculations will update accordingly.

Q4: What is a 'good' average U-value?

A: "Good" depends on the building element type, climate, and regulations. For new builds in many regions, target U-values for walls might be below 0.30 W/m²K, roofs below 0.20 W/m²K, and floors below 0.25 W/m²K. Older buildings often have much higher U-values. Always check local building codes and energy efficiency standards.

Q5: Does the area weighted average U-value account for thermal bridging?

A: A basic calculation using standard U-values for components (like studs vs. insulation) won't perfectly account for thermal bridging unless the U-values used are specifically 'psi-corrected' or include bridging effects. For precise calculations, detailed thermal bridge analysis might be necessary, but this tool provides a valuable weighted average based on the primary surface areas and their U-values.

Q6: How accurate are the inputs needed for the calculation?

A: The accuracy of the output is highly dependent on the accuracy of your input values. Precise measurements of area and reliable U-values for each component are essential for a meaningful result. Use manufacturer data, verified calculations (like those based on EN ISO 6946), or reputable building science resources.

Q7: What is the role of the 'Area * U-Value' intermediate value?

A: The "Area * U-Value" (often expressed in W/m) for each element represents the actual heat flow rate through that specific element for every degree Celsius or Kelvin temperature difference across it. Summing these values gives the total heat flow rate for the entire composite element. This is a key intermediate step before dividing by the total area to get the weighted average.

Q8: Can I use this for basement walls?

A: Yes, you can use this calculator for basement walls, or any composite building element. Just ensure you correctly identify the different sections (e.g., insulated concrete, uninsulated concrete, window well), measure their respective areas, and find their appropriate U-values (considering ground contact or specific insulation methods).
var elements = []; var elementCounter = 0; var chartInstance = null; // To hold the chart instance function addUValueElement() { var elementNameInput = document.getElementById("elementName"); var areaInput = document.getElementById("area"); var uValueInput = document.getElementById("uValue"); var elementName = elementNameInput.value.trim(); var area = parseFloat(areaInput.value); var uValue = parseFloat(uValueInput.value); // Clear previous error messages document.getElementById("elementNameError").innerText = ""; document.getElementById("areaError").innerText = ""; document.getElementById("uValueError").innerText = ""; var isValid = true; if (elementName === "") { document.getElementById("elementNameError").innerText = "Element name cannot be empty."; isValid = false; } if (isNaN(area) || area <= 0) { document.getElementById("areaError").innerText = "Please enter a valid positive area."; isValid = false; } if (isNaN(uValue) || uValue 0 document.getElementById("uValueError").innerText = "Please enter a valid non-negative U-value."; isValid = false; } if (!isValid) { return; } var areaUValueProduct = area * uValue; elements.push({ id: elementCounter++, name: elementName, area: area, uValue: uValue, areaUValueProduct: areaUValueProduct }); updateCalculations(); renderTable(); updateChart(); // Clear inputs for next entry elementNameInput.value = ""; areaInput.value = ""; uValueInput.value = ""; elementNameInput.focus(); } function removeElement(id) { elements = elements.filter(function(el) { return el.id !== id; }); updateCalculations(); renderTable(); updateChart(); } function updateCalculations() { var totalArea = 0; var sumAreaUValue = 0; for (var i = 0; i 0) { averageUValue = sumAreaUValue / totalArea; } document.getElementById("averageUValue").innerText = isNaN(averageUValue) ? "– W/m²K" : averageUValue.toFixed(3) + " W/m²K"; document.getElementById("intermediateValuesList").innerHTML = "
  • Total Area: " + (isNaN(totalArea) ? "– m²" : totalArea.toFixed(2) + " m²") + "
  • " + "
  • Sum of (Area * U-Value): " + (isNaN(sumAreaUValue) ? "– W/m" : sumAreaUValue.toFixed(3) + " W/m") + "
  • " + "
  • Number of Elements: " + elements.length + "
  • "; } function renderTable() { var tableBody = document.getElementById("elementTableBody"); tableBody.innerHTML = ""; // Clear existing rows if (elements.length === 0) { document.getElementById("chartContainer").style.display = "none"; return; } for (var i = 0; i < elements.length; i++) { var row = tableBody.insertRow(); row.innerHTML = "" + elements[i].name + "" + "" + elements[i].area.toFixed(2) + "" + "" + elements[i].uValue.toFixed(3) + "" + "" + elements[i].areaUValueProduct.toFixed(3) + "" + ""; } } function updateChart() { var ctx = document.getElementById("uValueChart").getContext("2d"); var totalAreaUValueProduct = 0; var labels = []; var dataValues = []; for (var i = 0; i 0) { document.getElementById("chartContainer").style.display = "block"; } else { document.getElementById("chartContainer").style.display = "none"; return; } // Clear previous chart if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for the chart elements.forEach(function(element) { labels.push(element.name); // Calculate percentage contribution to total heat transfer (Area*U) var percentage = totalAreaUValueProduct > 0 ? (element.areaUValueProduct / totalAreaUValueProduct) * 100 : 0; dataValues.push(percentage); }); // Create new chart chartInstance = new Chart(ctx, { type: 'bar', // Changed to bar for better comparison of contributions data: { labels: labels, datasets: [{ label: 'Contribution to Total Heat Transfer (%)', data: dataValues, backgroundColor: [ 'rgba(0, 74, 153, 0.6)', 'rgba(40, 167, 69, 0.6)', 'rgba(255, 193, 7, 0.6)', 'rgba(108, 117, 125, 0.6)', 'rgba(220, 53, 69, 0.6)' ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(255, 193, 7, 1)', 'rgba(108, 117, 125, 1)', 'rgba(220, 53, 69, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Contribution to Total Heat Transfer (%)' } } }, plugins: { legend: { display: false // Hiding legend as label is descriptive }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + '%'; } return label; } } } } } }); updateChartLegend(); } function updateChartLegend() { var legendHtml = '

    Legend

      '; var colors = [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(255, 193, 7, 1)', 'rgba(108, 117, 125, 1)', 'rgba(220, 53, 69, 1)' ]; var defaultColor = '#ccc'; // Fallback color for (var i = 0; i < elements.length; i++) { var color = colors[i % colors.length] || defaultColor; legendHtml += '
    • ' + elements[i].name + '
    • '; } legendHtml += '
    '; document.getElementById('chartLegend').innerHTML = legendHtml; } function resetCalculator() { elements = []; elementCounter = 0; document.getElementById("elementName").value = ""; document.getElementById("area").value = ""; document.getElementById("uValue").value = ""; document.getElementById("elementNameError").innerText = ""; document.getElementById("areaError").innerText = ""; document.getElementById("uValueError").innerText = ""; updateCalculations(); renderTable(); updateChart(); // Also resets the chart display document.getElementById("copyMessage").style.display = "none"; // Hide copy message on reset } function copyResults() { var avgUValue = document.getElementById("averageUValue").innerText; var totalArea = document.querySelector("#intermediateValuesList li:nth-child(1) .value").innerText; var sumAreaU = document.querySelector("#intermediateValuesList li:nth-child(2) .value").innerText; var numElements = document.querySelector("#intermediateValuesList li:nth-child(3) .value").innerText; var tableRows = document.querySelectorAll("#elementTableBody tr"); var tableData = "Element Name\tArea (m²)\tU-Value (W/m²K)\tArea * U-Value (W/m)\n"; tableRows.forEach(function(row) { var cells = row.querySelectorAll("td"); if (cells.length >= 4) { // Ensure we have enough cells tableData += cells[0].innerText + "\t" + cells[1].innerText + "\t" + cells[2].innerText + "\t" + cells[3].innerText + "\n"; } }); var assumptions = "Key Assumptions:\n"; assumptions += "- Total Area: " + totalArea + "\n"; assumptions += "- Sum of (Area * U-Value): " + sumAreaU + "\n"; assumptions += "- Number of Elements Calculated: " + numElements + "\n"; var textToCopy = "Area Weighted Average U-Value Calculation Results:\n\n"; textToCopy += "Overall Average U-Value: " + avgUValue + "\n\n"; textToCopy += "— Breakdown —\n"; textToCopy += "Total Area: " + totalArea + "\n"; textToCopy += "Sum of (Area * U-Value): " + sumAreaU + "\n"; textToCopy += "Number of Elements: " + numElements + "\n\n"; textToCopy += "— Individual Elements —\n"; textToCopy += tableData + "\n"; textToCopy += "— Assumptions —\n"; textToCopy += assumptions; navigator.clipboard.writeText(textToCopy).then(function() { var copyMessage = document.getElementById("copyMessage"); copyMessage.style.display = "block"; setTimeout(function() { copyMessage.style.display = "none"; }, 3000); // Hide message after 3 seconds }).catch(function(err) { console.error("Failed to copy text: ", err); // Optionally show an error message to the user }); } function toggleAnswer(element) { var answer = element.nextElementSibling; if (answer.style.display === "block") { answer.style.display = "none"; } else { answer.style.display = "block"; } } // Initial setup on page load document.addEventListener("DOMContentLoaded", function() { // Set initial default values for inputs if desired, or leave blank // document.getElementById("elementName").value = "Main Wall Section"; // document.getElementById("area").value = "15"; // document.getElementById("uValue").value = "0.25"; // Load a chart.js script dynamically if needed, or rely on native canvas. // For this example, we assume Canvas API is sufficient. // If Chart.js were used, it would need to be included via CDN or local file. // Since we are restricted to pure JS/SVG, we'll draw manually or use simple bars. // We'll use a basic implementation for the example or assume a library is available. // For this pure JS requirement, we'll stick to basic rendering or a simplified approach. // Let's try to render a basic chart using Canvas API without external libraries. // NOTE: A full charting library like Chart.js is typically used for dynamic charts. // Re-implementing charting logic purely in JS can be complex. // For the purpose of this exercise, we will use a placeholder or simplified visualization. // UPDATE: Using a simplified rendering approach here that just updates basic text/visuals. // A full implementation of dynamic charting without libraries is beyond a simple script. // Let's ensure the chart container is hidden until data exists. document.getElementById("chartContainer").style.display = "none"; updateCalculations(); // To set initial values like "–" }); // Minimal charting logic for demonstration using canvas // This is a simplified bar chart representation. For complex charts, a library is needed. function drawSimpleBarChart(canvasId, labels, dataValues, title) { var canvas = document.getElementById(canvasId); if (!canvas) return; var ctx = canvas.getContext('2d'); var totalValue = dataValues.reduce(function(sum, val) { return sum + val; }, 0); var barWidth = (canvas.width / labels.length) * 0.7; // 70% of segment width var barSpacing = (canvas.width / labels.length) * 0.3; // 30% spacing ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas // Draw Title ctx.fillStyle = 'var(–primary-color)'; ctx.font = '16px Segoe UI, sans-serif'; ctx.textAlign = 'center'; ctx.fillText(title, canvas.width / 2, 30); var currentX = (canvas.width – (labels.length * barWidth + (labels.length – 1) * barSpacing)) / 2; // Center the bars // Draw Bars for (var i = 0; i < labels.length; i++) { var barHeight = (dataValues[i] / totalValue) * (canvas.height – 60); // Scale to canvas height, leaving space for title and labels if (isNaN(barHeight) || barHeight < 0) barHeight = 0; ctx.fillStyle = 'rgba(0, 74, 153, 0.6)'; // Primary color ctx.fillRect(currentX, canvas.height – 40 – barHeight, barWidth, barHeight); // Draw bar from bottom up // Draw Label ctx.fillStyle = '#333'; ctx.font = '12px Segoe UI, sans-serif'; ctx.textAlign = 'center'; ctx.fillText(labels[i], currentX + barWidth / 2, canvas.height – 15); currentX += barWidth + barSpacing; } } // The actual chart rendering logic is now handled by Chart.js in the updateChart() function, // assuming Chart.js library would be included. If not, a manual canvas drawing function // would be needed here, which is complex. The current implementation assumes Chart.js. // If strictly no external libraries, the chart part would need a full custom canvas implementation. // Given the complexity, let's keep the Chart.js structure but note it requires the library. // Since the prompt explicitly says NO external libraries, the `new Chart` line MUST be removed // and replaced with pure Canvas API drawing. This requires significant rework. // For pure JS, let's simplify the `updateChart` to use the `drawSimpleBarChart` function. function updateChartPureJS() { var labels = []; var dataValues = []; var totalAreaUValueProduct = 0; for (var i = 0; i 0) { document.getElementById("chartContainer").style.display = "block"; } else { document.getElementById("chartContainer").style.display = "none"; return; } elements.forEach(function(element) { labels.push(element.name); var percentage = totalAreaUValueProduct > 0 ? (element.areaUValueProduct / totalAreaUValueProduct) * 100 : 0; dataValues.push(percentage); }); // Call the simplified drawing function // NOTE: Canvas element needs to be configured with fixed width/height in CSS or HTML for this to work predictably. // For responsive canvas, JS resizing logic would be needed. // Let's assume canvas has fixed dimensions for simplicity here. // Adjusting canvas dimensions in CSS if needed for better visualization. // e.g., canvas { width: 100%; height: 300px; } drawSimpleBarChart("uValueChart", labels, dataValues, "Contribution to Total Heat Transfer (%)"); updateChartLegend(); // Update legend based on pure JS elements } // Overwrite the Chart.js based updateChart with the Pure JS version. // Ensure the canvas element has appropriate styling for size. // The initial `updateChart` call should be replaced by `updateChartPureJS`. // Let's rename `updateChartPureJS` to `updateChart` and use it globally. // Replacing the Chart.js call in addUValueElement, removeElement, resetCalculator // with the new updateChart function name. // This is a functional replacement assuming the `drawSimpleBarChart` is sufficient. // The `chartInstance` logic related to Chart.js should be removed. // Updated `updateChart` function definition: function updateChart() { var labels = []; var dataValues = []; var totalAreaUValueProduct = 0; for (var i = 0; i 0) { document.getElementById("chartContainer").style.display = "block"; } else { document.getElementById("chartContainer").style.display = "none"; return; } elements.forEach(function(element) { labels.push(element.name); var percentage = totalAreaUValueProduct > 0 ? (element.areaUValueProduct / totalAreaUValueProduct) * 100 : 0; dataValues.push(percentage); }); // Call the simplified drawing function drawSimpleBarChart("uValueChart", labels, dataValues, "Contribution to Total Heat Transfer (%)"); updateChartLegend(); } // Initial call to updateChart after DOM is loaded to potentially show/hide chart container document.addEventListener("DOMContentLoaded", function() { updateCalculations(); renderTable(); updateChart(); // Ensure chart container state is correct on load });

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