Heat Loss Calculations

Heat Loss Calculations: Calculate Your Home's Energy Efficiency :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –light-gray: #e9ecef; –white: #fff; –border-color: #ccc; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–white); box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); border-radius: 8px; display: flex; flex-direction: column; align-items: center; } header { width: 100%; background-color: var(–primary-color); color: var(–white); padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.5em; font-weight: 700; } main { width: 100%; display: flex; flex-direction: column; align-items: center; } .loan-calc-container { width: 100%; max-width: 600px; background-color: var(–white); 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Heat Loss Calculations

Assess your property's energy efficiency and potential heating needs.

Home Heat Loss Calculator

Enter the floor area of the room in square meters.
Enter the ceiling height of the room in meters.
Difference between desired internal temperature and coldest expected external temperature.
Enter the thermal transmittance (U-value) of your walls. Lower is better. Typical: 0.2-0.7.
Enter the U-value for your windows. Typical: 1.1-3.0+.
Enter the total area of all windows in the room.
Enter the U-value for your roof or ceiling. Typical: 0.15-0.5.
Enter the area of the roof or ceiling directly above the room.
Enter the U-value for your floor. Typical: 0.15-0.4.
Enter the area of the floor directly below the room.
How many times the room's air is replaced per hour. Typical: 0.3-1.0.

Your Heat Loss Results

— W

Heat Loss through Walls: — W

Heat Loss through Windows: — W

Heat Loss through Roof/Ceiling: — W

Heat Loss through Floor: — W

Heat Loss through Infiltration: — W

Formula Used: Total Heat Loss (Q) is the sum of heat transfer through different building elements (walls, windows, roof, floor) and heat loss due to air infiltration.

Q_element = U * A * ΔT
Q_infiltration = 0.33 * ACH * Volume

Where: U=U-value (W/m²K), A=Area (m²), ΔT=Temperature Difference (°C), ACH=Air Changes per Hour, Volume=Room Volume (m³), 0.33 is a factor for specific heat capacity of air.

Key Assumptions:

Room Volume: — m³

Total Building Element Area: — m²

Heat Loss Components Breakdown

U-Value Comparison
Building Element Your U-Value (W/m²K) Typical U-Value Range (W/m²K) Contribution to Heat Loss (%)
Walls 0.2 – 0.7
Windows 1.1 – 3.0+
Roof/Ceiling 0.15 – 0.5
Floor 0.15 – 0.4
Infiltration 0.3 – 1.0 ACH

What is Heat Loss Calculation?

Heat loss calculation is the process of determining how much thermal energy your building or a specific room loses to the colder external environment over a period of time. It's a fundamental aspect of building science and essential for understanding a property's energy efficiency, designing appropriate heating systems, and estimating heating costs. Essentially, it quantifies the rate at which heat escapes from a warmer interior to a colder exterior through the building's envelope – including walls, windows, roofs, floors, and even through air leakage (infiltration).

Who Should Use It?

Several groups of people benefit immensely from understanding and performing heat loss calculations:

  • Homeowners: To identify areas of significant heat loss, assess the effectiveness of insulation, understand why their heating bills are high, and make informed decisions about energy efficiency upgrades.
  • Building Designers & Architects: To accurately size heating systems (like boilers or heat pumps), ensure thermal comfort for occupants, and meet building code requirements for energy performance.
  • HVAC Professionals: To design and install heating, ventilation, and air conditioning (HVAC) systems that are appropriately sized for the building's heating load, preventing both under-heating and over-heating.
  • Energy Auditors: To diagnose energy performance issues in existing buildings and recommend specific improvements.
  • Property Developers: To design energy-efficient buildings that appeal to environmentally conscious buyers and meet regulatory standards.

Common Misconceptions

Several common misconceptions exist regarding heat loss:

  • "Heat loss is only a winter problem." While most significant, heat loss is a year-round phenomenon. In summer, it's heat gain that's the concern, and the principles are similar (transfer driven by temperature difference).
  • "All heat loss is due to poor insulation." While insulation is critical, air leakage (infiltration) can account for a substantial portion of heat loss, sometimes up to 30% or more in older, unsealed homes.
  • "Heat loss calculations are too complex for homeowners." With the advent of user-friendly calculators like this one, homeowners can get accurate estimates without needing advanced engineering knowledge.
  • "Heat loss is just about temperature." While temperature difference is the primary driver, the materials used (their U-values) and the surface areas significantly impact the rate of heat loss.

Heat Loss Calculation Formula and Mathematical Explanation

The fundamental principle behind heat loss calculation is the rate of heat transfer through different materials and components, driven by a temperature difference. The most common formula used for steady-state heat transfer through a solid element (like a wall, window, or roof) is:

Q = U * A * ΔT

Let's break down each variable:

Variable Explanations

  • Q: This represents the rate of heat loss. It's the amount of thermal energy (heat) that flows through a specific building element per unit of time. The unit is typically Watts (W). A higher Q value indicates more heat is being lost.
  • U: This is the U-value, also known as the overall heat transfer coefficient. It measures how effectively a building component (like a wall, window, or roof) conducts heat. It is expressed in Watts per square meter per Kelvin (or degree Celsius) (W/m²K). A lower U-value signifies better insulation and less heat transfer.
  • A: This is the area of the building element through which heat is being lost. It's measured in square meters (m²). For example, the area of a wall, a window, or a section of the roof.
  • ΔT (Delta T): This represents the temperature difference between the inside and the outside of the building. It's calculated as (Inside Temperature – Outside Temperature) and is measured in Kelvin (K) or degrees Celsius (°C). The greater the temperature difference, the faster the heat will flow.

Heat Loss due to Air Infiltration

In addition to conductive heat loss through materials, buildings also lose heat through air leakage (infiltration). This is the uncontrolled movement of outside air into the building and conditioned air out. The formula for heat loss due to infiltration is often approximated as:

Q_infiltration = 0.33 * ACH * Volume

  • Q_infiltration: Heat loss due to air infiltration (Watts).
  • 0.33: A constant factor representing the volumetric heat capacity of air (approximately 1005 J/m³K / 3600 s/hr ≈ 0.28 J/m³s, adjusted for common units).
  • ACH: Air Changes per Hour. This indicates how many times the entire volume of air within the room or building is replaced by outside air in one hour. This is a measure of airtightness.
  • Volume: The total volume of the room or building in cubic meters (m³). Volume = Room Area * Room Height.

Total Heat Loss Calculation

The total heat loss for a room or building is the sum of the heat losses through all its individual components and the infiltration losses:

Total Q = Q_walls + Q_windows + Q_roof + Q_floor + Q_infiltration

The calculator above sums these individual component losses to provide a total heat loss value in Watts (W).

Variables Table

Heat Loss Calculation Variables
Variable Meaning Unit Typical Range / Notes
Q Rate of Heat Loss Watts (W) Depends on inputs; Higher indicates greater loss.
U U-value (Overall Heat Transfer Coefficient) W/m²K Walls: 0.15-0.7
Windows: 1.1-3.0+
Roof: 0.1-0.5
Floor: 0.1-0.4
A Area Surface area of the building element.
ΔT Temperature Difference °C or K Inside Temp – Outside Temp. Typically 15-25°C.
ACH Air Changes per Hour 1/hr Airtightness measure. 0.3 (very airtight) to 1.0+ (leaky).
Volume Room/Building Volume Area x Height. Calculated.

Practical Examples (Real-World Use Cases)

Understanding heat loss calculations is vital for making informed decisions about home improvements and heating system design. Here are a couple of practical examples:

Example 1: Evaluating Insulation Upgrade for a Living Room

Scenario: A homeowner has a 25 m² living room with a standard U-value for walls of 0.5 W/m²K and windows of 2.0 W/m²K. The room height is 2.7m. The total window area is 4 m². The coldest expected outside temperature is -5°C, and they aim for an inside temperature of 21°C. The room has moderate airtightness (0.7 ACH).

Inputs:

  • Room Area: 25 m²
  • Room Height: 2.7 m
  • Temperature Difference (ΔT): 21°C – (-5°C) = 26°C
  • U-Value Walls: 0.5 W/m²K
  • U-Value Windows: 2.0 W/m²K
  • Window Area: 4 m²
  • U-Value Roof: 0.4 W/m²K
  • Roof Area: 25 m² (assuming same as floor area)
  • U-Value Floor: 0.3 W/m²K
  • Floor Area: 25 m²
  • Infiltration Rate (ACH): 0.7

Calculation & Results (using the calculator):

  • Calculated Total Heat Loss: Approximately 3500 W
  • Intermediate Values might show breakdown: e.g., Walls ~1350W, Windows ~520W, Roof ~1170W, Floor ~780W, Infiltration ~683W.

Interpretation: The living room loses about 3500 Watts of heat under these conditions. The calculation reveals that heat loss through the roof and walls are the most significant contributors. The homeowner might consider upgrading roof insulation (reducing U-value from 0.4 to 0.15) and wall insulation (reducing U-value from 0.5 to 0.25). With improved insulation (e.g., Roof U=0.15, Walls U=0.25), the total heat loss could drop significantly, potentially by over 1500W, leading to reduced heating costs and improved comfort.

Example 2: Sizing a New Heating System for an Extension

Scenario: A builder is adding a new bedroom extension (3m x 4m) with a ceiling height of 2.5m. The external walls will have a U-value of 0.25 W/m²K, and the triple-glazed windows will have a U-value of 1.2 W/m²K. There will be 3 m² of window area. The roof will have excellent insulation (U=0.18 W/m²K), and the floor (over a well-insulated void) will have U=0.20 W/m²K. The design temperature difference (ΔT) is 24°C (e.g., 20°C inside, -4°C outside). The extension is designed to be very airtight (0.4 ACH).

Inputs:

  • Room Area: 12 m² (3m x 4m)
  • Room Height: 2.5 m
  • Temperature Difference (ΔT): 24°C
  • U-Value Walls: 0.25 W/m²K
  • U-Value Windows: 1.2 W/m²K
  • Window Area: 3 m²
  • U-Value Roof: 0.18 W/m²K
  • Roof Area: 12 m²
  • U-Value Floor: 0.20 W/m²K
  • Floor Area: 12 m²
  • Infiltration Rate (ACH): 0.4

Calculation & Results (using the calculator):

  • Calculated Total Heat Loss: Approximately 1050 W
  • Intermediate Values might show breakdown: e.g., Walls ~375W, Windows ~216W, Roof ~324W, Floor ~360W, Infiltration ~198W. (Note: sum of these intermediate might slightly differ due to rounding in manual calculation, calculator is precise).

Interpretation: The total heat loss for this highly efficient extension is relatively low, around 1050 Watts. This means the heating system only needs to supply this amount of heat to maintain the desired internal temperature. A small, efficient electric heater, a small radiator connected to a central system, or even a small heat pump unit would be sufficient. This calculation helps avoid oversizing the heating system, which can lead to higher installation costs and inefficient operation.

How to Use This Heat Loss Calculator

Our Heat Loss Calculator is designed to be straightforward, providing you with essential insights into your property's energy performance. Follow these steps to get accurate results:

Step-by-Step Instructions

  1. Gather Information: Before you start, collect the necessary data about the specific room or area you want to analyze. This includes room dimensions (area and height), the U-values of walls, windows, roof, and floor, the total window area, and an estimate of the desired internal temperature and the coldest expected external temperature.
  2. Enter Room Dimensions: Input the Room Area (in m²) and Room Height (in m). The calculator will automatically compute the room's volume.
  3. Set Temperature Difference: Enter the desired Internal Temperature and the coldest expected External Temperature. The calculator uses the difference (ΔT) for calculations.
  4. Input U-Values: For each building element (Walls, Windows, Roof/Ceiling, Floor), enter its corresponding U-Value in W/m²K. If you don't know the exact U-value, use typical values based on your building's construction type and age (e.g., uninsulated brick walls might be around 0.5-0.7 W/m²K, while well-insulated modern walls could be 0.2 W/m²K or lower). Helper text provides typical ranges.
  5. Enter Component Areas: Input the Total Window Area (m²). For Roof and Floor, the calculator typically assumes the same area as the room, but you can adjust these if the area directly above or below the room is different.
  6. Estimate Infiltration: Enter the Infiltration Rate in Air Changes per Hour (ACH). This reflects how airtight your room is. 0.3 ACH is very airtight (modern construction), 0.5-0.7 ACH is average, and 1.0+ ACH indicates significant air leakage (older, unsealed buildings).
  7. Calculate: Click the "Calculate Heat Loss" button.

How to Read Results

  • Main Result (Watts): This is your primary output, showing the total estimated heat loss for the specified room in Watts (W). This value indicates the heating power required to maintain the desired internal temperature under the given conditions. A higher number means more heat is lost, requiring a more powerful heating system and leading to higher energy bills.
  • Intermediate Values: These break down the total heat loss into contributions from each building element (walls, windows, roof, floor) and air infiltration. This helps you pinpoint where most of the heat is being lost.
  • Assumptions: Displays the calculated Room Volume and Total Building Element Area used in the calculation, providing transparency.
  • Formula Explanation: Provides a brief, plain-language description of the formulas used.
  • Chart: Visually represents the proportion of heat loss from each component, making it easy to see the biggest culprits.
  • U-Value Table: Compares your entered U-values against typical ranges and shows the percentage contribution of each element to the total heat loss.

Decision-Making Guidance

Use the results to guide your decisions:

  • Identify Weak Spots: If a particular element (e.g., windows or roof) shows a high percentage contribution to heat loss, it's a prime candidate for upgrades like better insulation, new windows, or draught-proofing.
  • Size Heating Systems: The total heat loss in Watts is a crucial figure for sizing your boiler, radiators, or other heating appliances. Always consult with an HVAC professional for final system sizing.
  • Estimate Energy Costs: While this calculator focuses on heat loss (power), understanding your total heat loss over a heating season can help estimate energy consumption and costs. For example, if your total heat loss is 1500W (1.5kW) and you need to run your heating for 1000 hours a year at an electricity cost of £0.15/kWh, the direct heating cost would be roughly 1.5kW * 1000h * £0.15/kWh = £225. This is a simplified estimate.
  • Compare Upgrade Options: Run the calculator before and after hypothetically inputting improved U-values for upgraded components to see the potential savings.

Key Factors That Affect Heat Loss Results

Several factors significantly influence the calculated heat loss from a building. Understanding these helps in refining calculations and making targeted improvements:

  1. Temperature Difference (ΔT): This is the most direct driver. The greater the difference between indoor and outdoor temperatures, the faster heat will flow out. Colder climates or more aggressive desired indoor temperatures will result in higher heat loss. This is why insulation is critical in regions with harsh winters.
  2. Building Material Properties (U-values): The thermal conductivity of materials used in walls, windows, roofs, and floors is paramount. Materials with low U-values (good insulators like rigid foam or mineral wool) significantly reduce heat transfer compared to high U-value materials (like single-pane glass or uninsulated timber frames). The effectiveness of insulation directly impacts the calculated Q.
  3. Surface Area: Larger surface areas for walls, windows, roofs, and floors mean more opportunity for heat to escape. A room with extensive glazing or a large, exposed wall will naturally have higher heat loss than a smaller, more compact space, even with similar U-values. This is why building shape impacts efficiency.
  4. Airtightness (Infiltration Rate): Uncontrolled air leakage through gaps, cracks, and poorly sealed joints is a major source of heat loss. Older buildings often suffer from high infiltration rates, wasting significant energy. Modern construction techniques focus on airtightness, often requiring mechanical ventilation systems to maintain air quality. The ACH value directly scales the infiltration heat loss component.
  5. Thermal Bridging: This occurs where materials with higher thermal conductivity (like metal studs or concrete beams) penetrate insulation layers, creating pathways for heat to bypass the insulation. While not directly adjustable in simple calculators, significant thermal bridging can make a building perform much worse than its U-values suggest. Careful design and construction minimize this.
  6. Building Orientation and Solar Gains: While not directly part of a basic heat loss calculation, the orientation of a building affects passive solar heat gain. South-facing windows can gain significant heat from the sun during winter, offsetting some heating demand. Conversely, poorly oriented or shaded windows contribute more to net heat loss.
  7. Wind Speed: Higher wind speeds can increase heat loss in two ways: by increasing the effective temperature difference across the building envelope (wind chill effect on the exterior surface) and by driving air infiltration through cracks and openings.
  8. Occupancy and Internal Heat Gains: People, lighting, and appliances generate heat within a building. These internal gains can offset some of the heat loss, reducing the net heating requirement. However, for calculating peak heating load (the maximum heat output needed), these gains are often disregarded to ensure comfort during the coldest periods.

Frequently Asked Questions (FAQ)

  • Q1: What is the difference between heat loss and heat gain?

    Heat loss is the rate at which heat escapes from a warmer space to a colder one, primarily a concern in winter. Heat gain is the opposite – the rate at which unwanted heat enters a space, mainly a concern in summer (from sun, external air, appliances). Both are driven by temperature differences and are calculated using similar principles (U-values, area, ΔT).

  • Q2: How accurate is this calculator?

    This calculator provides a good estimate based on standard engineering formulas. Its accuracy depends heavily on the accuracy of the input values, especially the U-values and infiltration rate, which can be difficult to determine precisely for existing buildings without professional assessment.

  • Q3: My calculated heat loss seems high. What should I do?

    High heat loss indicates inefficiency. Prioritize upgrades to areas contributing most to the loss (as shown in the chart/table). Start with sealing air leaks (draught-proofing), then consider improving insulation in the roof, walls, and around floors, followed by upgrading windows and doors.

  • Q4: What is a "typical" U-value?

    Typical U-values vary greatly depending on construction. For walls, uninsulated cavity walls might be 0.5-0.7 W/m²K, while modern insulated walls can be 0.2-0.3 W/m²K or lower. Single-glazed windows are typically 4.5-5.0+ W/m²K, double-glazed around 1.0-2.0 W/m²K, and triple-glazed can be below 1.0 W/m²K. Roofs and floors, when insulated, tend to have lower U-values (0.15-0.3 W/m²K).

  • Q5: How do I find the U-value of my existing walls/windows?

    For existing properties, exact U-values are often estimated based on construction type and age. Online resources, building regulations guidance, or professional energy assessments can provide typical ranges. For specific components like new windows, the manufacturer will provide the U-value.

  • Q6: Do I need to consider ventilation?

    Yes. While this calculator focuses on *heat loss*, ventilation is crucial for healthy indoor air quality. In older, leaky buildings, infiltration provides uncontrolled ventilation. In modern, airtight buildings, controlled mechanical ventilation (like MVHR systems) is often necessary to manage air exchange without excessive heat loss.

  • Q7: Can I use this for my entire house?

    This calculator is designed for individual rooms or zones. To calculate the heat loss for an entire house, you would ideally perform calculations for each major room/zone and sum them up, or use more complex whole-house heat loss calculation software/methods. A simplified approach might involve estimating total wall, roof, window, and floor areas for the whole house.

  • Q8: What is the relationship between heat loss and boiler sizing?

    The total heat loss (in Watts or kW) of a property or room is the primary factor in determining the required output of a heating system. The heating system must be capable of replacing the heat lost to maintain the desired temperature. Consulting an HVAC professional is recommended for final boiler/heating system sizing based on these calculations.

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function validateInput(id, min, max, errorId, helperText) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); errorElement.textContent = "; // Clear previous error if (isNaN(value)) { errorElement.textContent = 'Please enter a valid number.'; return false; } if (value max) { errorElement.textContent = 'Value cannot be greater than ' + max + '.'; return false; } return true; } function calculateHeatLoss() { // Validate all inputs var isValid = true; isValid &= validateInput('roomArea', 1, 1000, 'roomAreaError', 'Enter the floor area of the room in square meters.'); isValid &= validateInput('roomHeight', 1, 10, 'roomHeightError', 'Enter the ceiling height of the room in meters.'); isValid &= validateInput('temperatureDifference', 1, 60, 'temperatureDifferenceError', 'Difference between desired internal temperature and coldest expected external temperature.'); isValid &= validateInput('uValueWalls', 0.05, 5, 'uValueWallsError', 'Enter the thermal transmittance (U-value) of your walls. Lower is better. Typical: 0.2-0.7.'); isValid &= validateInput('uValueWindows', 0.3, 10, 'uValueWindowsError', 'Enter the U-value for your windows. Typical: 1.1-3.0+.'); isValid &= validateInput('windowArea', 0, 100, 'windowAreaError', 'Enter the total area of all windows in the room.'); isValid &= validateInput('uValueRoof', 0.05, 5, 'uValueRoofError', 'Enter the U-value for your roof or ceiling. Typical: 0.15-0.5.'); isValid &= validateInput('roofArea', 1, 1000, 'roofAreaError', 'Enter the area of the roof or ceiling directly above the room.'); isValid &= validateInput('uValueFloor', 0.05, 5, 'uValueFloorError', 'Enter the U-value for your floor. Typical: 0.15-0.4.'); isValid &= validateInput('floorArea', 1, 1000, 'floorAreaError', 'Enter the area of the floor directly below the room.'); isValid &= validateInput('infiltrationRate', 0.1, 5, 'infiltrationRateError', 'How many times the room\'s air is replaced per hour. Typical: 0.3-1.0.'); if (!isValid) { return; } var roomArea = parseFloat(document.getElementById('roomArea').value); var roomHeight = parseFloat(document.getElementById('roomHeight').value); var tempDiff = parseFloat(document.getElementById('temperatureDifference').value); var uValueWalls = parseFloat(document.getElementById('uValueWalls').value); var uValueWindows = parseFloat(document.getElementById('uValueWindows').value); var windowArea = parseFloat(document.getElementById('windowArea').value); var uValueRoof = parseFloat(document.getElementById('uValueRoof').value); var roofArea = parseFloat(document.getElementById('roofArea').value); var uValueFloor = parseFloat(document.getElementById('uValueFloor').value); var floorArea = parseFloat(document.getElementById('floorArea').value); var infiltrationRate = parseFloat(document.getElementById('infiltrationRate').value); // Assume wall area is total room perimeter * height minus window area var roomPerimeter = 2 * (Math.sqrt(roomArea) + Math.sqrt(roomArea)); // Simplified assuming square room var wallArea = roomPerimeter * roomHeight – windowArea; if (wallArea 0) { document.getElementById('tableUValueWallsPercent').textContent = (heatLossWalls / totalContribution * 100).toFixed(1) + '%'; document.getElementById('tableUValueWindowsPercent').textContent = (heatLossWindows / totalContribution * 100).toFixed(1) + '%'; document.getElementById('tableUValueRoofPercent').textContent = (heatLossRoof / totalContribution * 100).toFixed(1) + '%'; document.getElementById('tableUValueFloorPercent').textContent = (heatLossFloor / totalContribution * 100).toFixed(1) + '%'; document.getElementById('tableInfiltrationPercent').textContent = (heatLossInfiltration / totalContribution * 100).toFixed(1) + '%'; } else { document.getElementById('tableUValueWallsPercent').textContent = '0.0%'; document.getElementById('tableUValueWindowsPercent').textContent = '0.0%'; document.getElementById('tableUValueRoofPercent').textContent = '0.0%'; document.getElementById('tableUValueFloorPercent').textContent = '0.0%'; document.getElementById('tableInfiltrationPercent').textContent = '0.0%'; } // Update Chart updateChart(heatLossWalls, heatLossWindows, heatLossRoof, heatLossFloor, heatLossInfiltration); } function updateChart(walls, windows, roof, floor, infiltration) { var ctx = document.getElementById('heatLossChart').getContext('2d'); if (window.heatLossChartInstance) { window.heatLossChartInstance.destroy(); // Destroy previous chart instance } var labels = ['Walls', 'Windows', 'Roof/Ceiling', 'Floor', 'Infiltration']; var dataValues = [walls, windows, roof, floor, infiltration]; var backgroundColors = [ 'rgba(255, 99, 132, 0.6)', // Walls 'rgba(54, 162, 235, 0.6)', // Windows 'rgba(255, 206, 86, 0.6)', // Roof 'rgba(75, 192, 192, 0.6)', // Floor 'rgba(153, 102, 255, 0.6)' // Infiltration ]; var borderColors = [ 'rgba(255, 99, 132, 1)', 'rgba(54, 162, 235, 1)', 'rgba(255, 206, 86, 1)', 'rgba(75, 192, 192, 1)', 'rgba(153, 102, 255, 1)' ]; // Filter out zero values for cleaner chart var filteredLabels = []; var filteredDataValues = []; var filteredBackgroundColors = []; var filteredBorderColors = []; for (var i = 0; i 0) { filteredLabels.push(labels[i]); filteredDataValues.push(dataValues[i]); filteredBackgroundColors.push(backgroundColors[i]); filteredBorderColors.push(borderColors[i]); } } // Ensure we have at least one data point if (filteredDataValues.length === 0) { filteredLabels.push('No Data'); filteredDataValues.push(1); // Placeholder for empty chart filteredBackgroundColors.push('rgba(201, 203, 207, 0.6)'); filteredBorderColors.push('rgba(201, 203, 207, 1)'); } window.heatLossChartInstance = new Chart(ctx, { type: 'doughnut', // Changed to doughnut for better component visualization data: { labels: filteredLabels, datasets: [{ label: 'Watts Lost', data: filteredDataValues, backgroundColor: filteredBackgroundColors, borderColor: filteredBorderColors, borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: true, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Breakdown of Heat Loss Components' } } } }); } function resetCalculator() { document.getElementById('roomArea').value = '20'; document.getElementById('roomHeight').value = '2.5'; document.getElementById('temperatureDifference').value = '20'; document.getElementById('uValueWalls').value = '0.3'; document.getElementById('uValueWindows').value = '1.5'; document.getElementById('windowArea').value = '3'; document.getElementById('uValueRoof').value = '0.25'; document.getElementById('roofArea').value = '10'; document.getElementById('uValueFloor').value = '0.2'; document.getElementById('floorArea').value = '10'; document.getElementById('infiltrationRate').value = '0.5'; // Clear errors var errorElements = document.getElementsByClassName('error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].textContent = ''; } calculateHeatLoss(); // Recalculate with defaults } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var heatLossWalls = document.getElementById('heatLossWalls').textContent; var heatLossWindows = document.getElementById('heatLossWindows').textContent; var heatLossRoof = document.getElementById('heatLossRoof').textContent; var heatLossFloor = document.getElementById('heatLossFloor').textContent; var heatLossInfiltration = document.getElementById('heatLossInfiltration').textContent; var assumedVolume = document.getElementById('assumedVolume').textContent; var totalElementArea = document.getElementById('totalElementArea').textContent; var formulaExplanation = document.getElementById('formula-explanation').textContent.replace('Formula Used:', 'Formula:').replace('Where:', 'Variables:'); var textToCopy = "— Heat Loss Calculation Results —\n\n"; textToCopy += "Primary Result: " + mainResult + "\n\n"; textToCopy += "Breakdown:\n"; textToCopy += "- Walls: " + heatLossWalls + "\n"; textToCopy += "- Windows: " + heatLossWindows + "\n"; textToCopy += "- Roof/Ceiling: " + heatLossRoof + "\n"; textToCopy += "- Floor: " + heatLossFloor + "\n"; textToCopy += "- Infiltration: " + heatLossInfiltration + "\n\n"; textToCopy += "Key Assumptions:\n"; textToCopy += "- Room Volume: " + assumedVolume + "\n"; textToCopy += "- Total Building Element Area: " + totalElementArea + "\n\n"; textToCopy += formulaExplanation; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; // Avoid scrolling to bottom of page in MS Edge. textArea.style.top = 0; textArea.style.left = 0; textArea.style.width = '2em'; textArea.style.height = '2em'; textArea.style.padding = '0'; textArea.style.border = 'none'; textArea.style.outline = 'none'; textArea.style.boxShadow = 'none'; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied successfully!' : 'Copying failed.'; console.log(msg); // Optionally show a temporary message to the user var statusDiv = document.createElement('div'); statusDiv.textContent = msg; statusDiv.style.position = 'fixed'; statusDiv.style.bottom = '20px'; statusDiv.style.left = '50%'; statusDiv.style.transform = 'translateX(-50%)'; statusDiv.style.backgroundColor = '#004a99'; statusDiv.style.color = 'white'; statusDiv.style.padding = '10px 20px'; statusDiv.style.borderRadius = '5px'; document.body.appendChild(statusDiv); setTimeout(function(){ document.body.removeChild(statusDiv); }, 3000); } catch (err) { console.log('Unable to copy results.', err); } document.body.removeChild(textArea); } // Initial calculation on page load window.onload = function() { calculateHeatLoss(); // Dynamically load Chart.js if not already present if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; // Use a specific version script.onload = function() { console.log('Chart.js loaded.'); calculateHeatLoss(); // Recalculate after chart library is loaded }; script.onerror = function() { console.error('Failed to load Chart.js.'); // Optionally display a message to the user document.getElementById('heatLossChart').innerHTML = 'Chart could not be loaded. Please check your internet connection or try again later.'; }; document.head.appendChild(script); } else { calculateHeatLoss(); // If Chart.js is already loaded } };

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