Accurately determine the right air conditioning unit size (in BTUs) for your space with our easy-to-use calculator. Get personalized recommendations based on room dimensions, occupancy, and other factors.
Air Conditioner BTU Calculator
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Enter the length of the room in feet.
Enter the width of the room in feet.
Enter the height of the room in feet (defaults to 8ft if not provided).
Low (Shaded, North-facing)
Medium (Average, East/West-facing)
High (Sunny, South-facing, large windows)
Consider how much direct sunlight the room receives.
Each person adds heat. Defaults to 400 BTU per person.
None
One (e.g., TV, computer)
Two or More (e.g., multiple electronics, kitchen equipment)
Estimate additional heat from electronics, appliances, or kitchen use.
Excellent (Newer, well-sealed, high R-value)
Good (Standard insulation, average sealing)
Poor (Older, drafty, low R-value)
Factor in the quality of your room's insulation.
Your Recommended AC Size
—
Base BTU (Room Size):— BTU
Occupancy Heat Load:— BTU
Appliance Heat Load:— BTU
Sunlight Adjustment:— BTU
Insulation Adjustment:— BTU
Formula Used: The total recommended BTU is calculated by starting with a base BTU derived from room area, and then adding adjustments for occupancy, heat-generating appliances, sunlight exposure, and insulation quality. Formula: (Room Area in sq ft * Base BTU per sq ft) * Sunlight Multiplier + Occupancy BTU + Appliance BTU + Insulation Adjustment (Note: A typical base BTU per sq ft is around 20-25, but often simplified for direct area calculation. The calculator uses a simplified approach: Base BTU for area is calculated first, then multipliers/additions are applied.)
Key Assumptions:
Standard ceiling height of 8 feet is used unless specified.
Each occupant adds approximately 400 BTU.
Appliance heat load is estimated based on selection.
Base BTU per square foot is approximately 20 BTU.
BTU Recommendation Breakdown
Visual representation of the factors contributing to your total BTU requirement.
BTU Calculator Factors Table
Understand how each factor influences your recommended AC size.
Factor
Description
Unit
Impact on BTU
Room Area
The total square footage of the space to be cooled (Length x Width).
Square Feet (sq ft)
Directly increases Base BTU. Larger areas need more cooling.
Room Height
The vertical dimension of the room. Affects total air volume.
Feet (ft)
Modifies base BTU if significantly different from 8ft.
Sunlight Exposure
Amount of direct sunlight entering the room, especially from south/west windows.
Multiplier (e.g., 1.0 – 1.3)
Increases BTU requirement for sunnier rooms.
Occupancy
Number of people regularly in the room.
People
Adds a fixed BTU load per person.
Heat Generating Appliances
Electronics, computers, TVs, kitchen appliances that produce heat.
BTU Adjustment (e.g., 400, 800)
Adds a fixed BTU load based on appliance count/type.
Insulation Quality
How well the room retains cool air and prevents heat gain.
Multiplier (e.g., 0.9 – 1.15)
Decreases BTU for well-insulated rooms, increases for poorly insulated ones.
What is a BTU Calculator for Air Conditioning?
{primary_keyword} is a vital tool designed to help homeowners and renters determine the appropriate cooling capacity, measured in British Thermal Units (BTUs), needed for a specific room or living space. An air conditioning unit's BTU rating indicates how much heat it can remove from a room per hour. Using a {primary_keyword} ensures you select an AC unit that is powerful enough to cool your space effectively without being excessively large, which can lead to inefficient operation, poor humidity control, and higher energy bills. A correctly sized unit maintains a comfortable temperature, removes excess moisture, and operates efficiently, prolonging its lifespan.
Who should use a {primary_keyword}? Anyone looking to purchase a new air conditioner, whether it's a window unit, portable AC, split system, or even considering central air conditioning sizing. This includes:
Homeowners looking to cool specific rooms or their entire house.
Renters needing to buy portable or window AC units for their apartments.
Individuals renovating or building new spaces that require cooling solutions.
Contractors or HVAC professionals performing initial load calculations.
Common Misconceptions: A frequent misconception is that "bigger is always better." While a more powerful AC can cool a room faster, an oversized unit will cool the air too quickly and shut off before it has a chance to dehumidify the space, leaving the air feeling cold and clammy. Conversely, an undersized unit will run constantly, struggle to reach the desired temperature, and waste energy. Another misconception is that all rooms require the same BTU per square foot; factors like sunlight, ceiling height, and occupancy significantly alter this. Our {primary_keyword} addresses these nuances.
BTU Calculator Formula and Mathematical Explanation
The {primary_keyword} typically follows a multi-step calculation to arrive at the recommended BTU. While specific calculators might simplify or elaborate on certain factors, the core logic involves calculating a base cooling load from the room's dimensions and then applying adjustments for various environmental and usage factors.
Step-by-Step Derivation:
Calculate Room Area: The fundamental starting point is the square footage of the room. Area = Room Length × Room Width.
Determine Base BTU: A standard guideline is often used, such as 20 BTU per square foot for general living spaces. Base BTU = Room Area × 20 BTU/sq ft.
Adjust for Ceiling Height (Optional but Recommended): If the ceiling height deviates significantly from the standard 8 feet, adjust the base BTU. For higher ceilings, increase the volume of air to be cooled. A common adjustment is to increase BTU by approximately 10% for every 2 feet above 8 feet. Conversely, lower ceilings might require slightly less. Simplified: Adjusted Base BTU = Base BTU * (Actual Height / 8).
Add Occupancy Load: Each person in a room adds a significant heat load. A common estimate is 400 BTU per person. Occupancy Load = Number of Occupants × 400 BTU/person.
Add Appliance Load: Heat-generating appliances contribute to the cooling demand. This is often estimated based on the type and number of appliances. Appliance Load = Value selected from presets (e.g., 400 BTU for a TV/computer, 800 BTU for more).
Apply Sunlight Exposure Adjustment: Rooms with significant sun exposure (especially south or west-facing) require more cooling power. This is applied as a multiplier. Sunlight Adjustment = Base BTU × (Multiplier – 1). (e.g., for a 1.15 multiplier, you add 15% of the Base BTU).
Apply Insulation Quality Adjustment: Well-insulated rooms retain cool air better, reducing the required BTU, while poorly insulated rooms gain heat faster. This is also a multiplier. Insulation Adjustment = Base BTU × (Multiplier – 1). (e.g., for a 0.9 multiplier, you reduce the Base BTU by 10%).
Calculate Total Recommended BTU: Total BTU = (Adjusted Base BTU * Sunlight Multiplier) + Occupancy Load + Appliance Load + Insulation Load. (Note: Some calculators apply insulation multipliers to the total load after other additions, or apply sunlight/insulation multipliers to the initial Base BTU before other additions. The exact application order can vary.)
Variable Explanations:
Variable
Meaning
Unit
Typical Range/Values
Room Length
The longest dimension of the room.
Feet (ft)
1 to 100+
Room Width
The shorter dimension of the room.
Feet (ft)
1 to 100+
Room Height
The vertical distance from floor to ceiling.
Feet (ft)
6 to 20+ (8ft is standard)
Room Area
The floor space of the room.
Square Feet (sq ft)
Calculated (e.g., 180 sq ft for 15ft x 12ft)
Base BTU per sq ft
Standard cooling capacity needed per square foot of space.
BTU/sq ft
Approx. 20 BTU/sq ft (for general areas)
Occupancy
Number of people regularly occupying the space.
People
0 to 10+
Occupancy BTU
Additional heat load from occupants.
BTU
400 BTU per person
Heat Generating Appliances
Estimate of heat output from electronics and appliances.
BTU Adjustment
0 BTU (None), 400 BTU (Low), 800 BTU (Medium+)
Sunlight Exposure
Factor representing direct solar heat gain.
Multiplier
1.0 (Low), 1.15 (Medium), 1.3 (High)
Insulation Quality
Factor representing heat retention/gain through walls/windows.
Multiplier
0.9 (Excellent), 1.0 (Good), 1.15 (Poor)
Practical Examples (Real-World Use Cases)
Let's illustrate how the {primary_keyword} works with two distinct scenarios:
Interpretation: For this standard bedroom, a ~3500-4000 BTU air conditioner would be suitable. Choosing a unit within this range ensures efficient cooling without overspending or causing humidity issues.
Example 2: A Sunny Living Room with Multiple Occupants
Room Dimensions: 20 ft (Length) x 15 ft (Width)
Ceiling Height: 9 ft
Sunlight Exposure: High (Large south-facing windows)
Interpretation: This large, sunny living room with high occupancy and poor insulation requires a significantly larger AC unit, around 12,000 to 13,000 BTU. A unit this size is necessary to combat the combined heat loads effectively. Using a smaller unit here would result in inadequate cooling.
How to Use This BTU Calculator for Air Conditioning
Using our {primary_keyword} is straightforward and designed to provide quick, accurate results. Follow these simple steps:
Input Room Dimensions: Enter the length and width of the space you want to cool in feet. If your ceiling is significantly higher or lower than 8 feet, enter the actual height for a more precise calculation.
Select Sunlight Exposure: Choose the option that best describes how much direct sunlight the room receives, considering window orientation and size.
Specify Occupancy: Enter the typical number of people who will be in the room at any given time.
Factor in Appliances: Select the option that best reflects the number and type of heat-generating appliances (like TVs, computers, gaming consoles) usually operating in the room.
Assess Insulation Quality: Honestly evaluate your room's insulation. New, well-sealed homes need less cooling than older, draftier ones.
Click 'Calculate BTU': Once all fields are populated, click the button.
How to Read Results:
Primary Result (Large Font): This is the total recommended BTU capacity for your air conditioner. It's the most crucial number.
Intermediate Values: These break down how each factor (room size, occupancy, etc.) contributes to the total BTU. They help you understand the weight of each variable.
Formula Explanation: Provides insight into the mathematical process used.
Key Assumptions: Lists the default values and estimations used in the calculation (e.g., BTU per person, standard ceiling height).
Decision-Making Guidance:
Round Up Slightly: It's generally better to have an AC unit with a BTU rating slightly higher than the calculated minimum, especially if you often have more people or appliances than estimated. Aim for the next standard AC size up (e.g., if you calculate 7500 BTU, consider an 8000 BTU unit).
Avoid Oversizing: As discussed, an oversized AC leads to inefficient cooling and poor humidity control. Stick close to the calculated range.
Consider Room Type: Kitchens and other high-heat-generating rooms might need higher BTU ratings than standard living spaces or bedrooms of the same size.
Use the 'Copy Results' Button: Easily share your findings or save them for reference when shopping for an AC unit.
Key Factors That Affect BTU Results
Several elements significantly influence the required BTU for effective air conditioning. Understanding these helps refine your choice:
Room Size (Square Footage): This is the most significant factor. Larger rooms naturally require more cooling capacity. The {primary_keyword} uses this as the foundation of its calculation. A 300 sq ft room needs substantially more BTUs than a 100 sq ft room.
Ceiling Height: Standard calculations often assume an 8-foot ceiling. Higher ceilings mean a larger volume of air to cool, thus increasing the BTU requirement. Rooms with 10-foot or higher ceilings will need a higher BTU AC than rooms of the same floor area but with standard heights.
Sunlight Exposure: Direct sunlight, particularly through south or west-facing windows, dramatically increases the heat load in a room. A room with large, unshaded windows on the sunny side will require a higher BTU rating compared to a similarly sized room that is heavily shaded or faces north. This accounts for solar heat gain.
Number of Occupants: People generate body heat. Each person can add several hundred BTUs to the cooling load. A room that frequently accommodates many people (e.g., a living room during a gathering) needs a higher BTU capacity than a bedroom used by one person.
Heat-Generating Appliances: Electronic devices (TVs, computers, gaming consoles), lighting (especially incandescent), and kitchen appliances all produce heat. The more of these present and in use, the higher the cooling demand. Our {primary_keyword} includes an estimate for this common factor.
Insulation Quality and Air Sealing: The effectiveness of insulation in walls, roofs, and windows plays a crucial role. Poorly insulated or drafty rooms allow cool air to escape and hot air to enter more easily, requiring a higher BTU AC to compensate. Well-insulated spaces are more energy-efficient and require less cooling power.
Climate Zone: While not always explicitly in a simple calculator, ambient outdoor temperature and humidity influence AC needs. Very hot and humid climates require more robust cooling solutions than milder ones.
Room Location within the House: An upper floor room or an attic room will generally be hotter due to rising heat and more direct sun exposure compared to a ground-floor room.
Frequently Asked Questions (FAQ)
Q1: What is the standard BTU per square foot?
A: A common rule of thumb for general living spaces is 20 BTU per square foot. However, this is a baseline and should be adjusted based on factors like sunlight, occupancy, and insulation, which our {primary_keyword} accounts for.
Q2: My calculated BTU is 7,500. Should I buy an 8,000 BTU or a 10,000 BTU AC unit?
A: It's generally recommended to round up slightly to the next standard size if your calculation falls between sizes, so an 8,000 BTU unit would likely be appropriate. Avoid oversizing significantly; a 10,000 BTU unit might be too large and lead to inefficient operation and poor humidity control.
Q3: Does room height really matter that much?
A: Yes, especially if it's significantly different from the standard 8 feet. A room with a 12-foot ceiling has much more air volume to cool than an 8-foot ceiling of the same floor area, increasing the BTU requirement.
Q4: What if my room gets a lot of sun?
A: High sun exposure significantly increases the heat load. Our {primary_keyword} accounts for this with multipliers. Rooms with large, sunny windows (especially south or west-facing) need a noticeably higher BTU rating.
Q5: How much extra BTU do I need for people and appliances?
A: A common estimate is 400 BTU per person. For appliances, presets like 400 BTU for a computer/TV and 800 BTU for multiple electronics or kitchen use are typical starting points. Our calculator incorporates these estimates.
Q6: Can I use a single, large AC unit for my whole house?
A: For smaller homes or open-plan layouts, a whole-house unit (like central AC or a large portable) might be feasible. However, for most houses, especially those with distinct zones or multiple floors, individual room sizing using a {primary_keyword} is more effective for specific cooling needs and efficiency.
Q7: What's the difference between BTU and EER/SEER ratings?
A: BTU measures cooling capacity (how much heat it removes). EER (Energy Efficiency Ratio) and SEER (Seasonal Energy Efficiency Ratio) measure efficiency (how much energy it uses to produce that cooling). A higher EER/SEER rating means a more energy-efficient unit, saving you money on electricity bills.
Q8: My old AC unit was 10,000 BTU, but the calculator says I only need 7,000 BTU. What should I do?
A: Your old unit may have been oversized. Using the correctly sized unit recommended by the {primary_keyword} will lead to better performance, improved humidity control, and lower energy consumption. Replacing an oversized unit with a correctly sized one is often a wise decision.
Q9: Does insulation really make that big of a difference?
A: Absolutely. Excellent insulation and sealing prevent heat gain and cool air loss, significantly reducing the workload on your AC. Conversely, poor insulation forces the AC to work much harder, requiring a higher BTU rating and consuming more energy. Our calculator adjusts for this.
Related Tools and Internal Resources
Explore these related tools and articles to further enhance your understanding of home comfort and energy efficiency:
function getInputValue(id) {
var element = document.getElementById(id);
if (!element) return null;
var value = parseFloat(element.value);
return isNaN(value) ? null : value;
}
function setErrorMessage(id, message) {
var errorElement = document.getElementById(id + 'Error');
if (errorElement) {
errorElement.textContent = message;
}
}
function clearErrorMessages() {
var errorElements = document.querySelectorAll('.error-message');
for (var i = 0; i < errorElements.length; i++) {
errorElements[i].textContent = '';
}
}
function validateInputs() {
clearErrorMessages();
var errors = false;
var length = getInputValue('roomLength');
if (length === null || length <= 0) {
setErrorMessage('roomLength', 'Please enter a valid positive number for length.');
errors = true;
}
var width = getInputValue('roomWidth');
if (width === null || width <= 0) {
setErrorMessage('roomWidth', 'Please enter a valid positive number for width.');
errors = true;
}
var height = getInputValue('roomHeight');
if (height !== null && height <= 0) {
setErrorMessage('roomHeight', 'Please enter a valid positive number for height, or leave blank.');
errors = true;
} else if (height === null || height === 0) {
// Use default height if not provided or 0
document.getElementById('roomHeight').value = 8;
height = 8;
}
// Sunlight exposure and insulation quality are select, so they always have a value.
// Occupancy and Appliances have presets or default values that are usually valid.
// We check occupancy for non-negative value.
var occupancy = getInputValue('occupancy');
if (occupancy === null || occupancy < 0) {
setErrorMessage('occupancy', 'Please enter a non-negative number for occupancy.');
errors = true;
}
return !errors;
}
function calculateBtu() {
if (!validateInputs()) {
return;
}
var roomLength = getInputValue('roomLength');
var roomWidth = getInputValue('roomWidth');
var roomHeight = getInputValue('roomHeight');
var sunlightMultiplier = parseFloat(document.getElementById('sunlightExposure').value);
var occupancy = getInputValue('occupancy');
var applianceValue = parseFloat(document.getElementById('heatGeneratingAppliances').value);
var insulationMultiplier = parseFloat(document.getElementById('insulationQuality').value);
// Ensure default height if input was empty or invalid before calculation
if (roomHeight === null || roomHeight 1.0) or add adjustment.
// 4. Add Occupancy BTU.
// 5. Add Appliance BTU.
// 6. Adjust for Insulation: This is often applied as a multiplier to the total calculated load, or to the base BTU. Let's apply it to the base BTU area before adding other fixed loads for a more balanced effect.
// Revised Calculation approach:
// Base BTU (Area)
var calculatedBaseBtu = roomArea * baseBtuPerSqFt;
// Apply Sunlight adjustment to Base BTU
var adjustedForSunlight = calculatedBaseBtu * sunlightMultiplier;
// Apply Insulation adjustment to Base BTU
// Note: Some formulas add/subtract insulation effect. Here we use multiplier.
// It's common to adjust the base calculation *before* adding fixed loads.
// Let's use insulation as a multiplier on the adjusted base:
var finalAdjustedBase = adjustedForSunlight * insulationMultiplier;
// Add fixed loads
var totalBtu = finalAdjustedBase + occupancyBtu + applianceBtu;
// Ensure result is not negative (though unlikely with positive inputs)
totalBtu = Math.max(totalBtu, 0);
// Display Results
var primaryResultElement = document.getElementById('primary-result');
var baseBtuResultElement = document.getElementById('baseBtuResult');
var occupancyBtuResultElement = document.getElementById('occupancyBtuResult');
var applianceBtuResultElement = document.getElementById('applianceBtuResult');
var sunlightAdjResultElement = document.getElementById('sunlightAdjResult');
var insulationAdjResultElement = document.getElementById('insulationAdjResult');
var resultsDiv = document.getElementById('results');
primaryResultElement.textContent = Math.round(totalBtu);
baseBtuResultElement.textContent = Math.round(calculatedBaseBtu);
occupancyBtuResultElement.textContent = Math.round(occupancyBtu);
applianceBtuResultElement.textContent = Math.round(applianceBtu);
// Calculate the actual BTU added/subtracted by sunlight and insulation for display
var displaySunlightAdd = calculatedBaseBtu * (sunlightMultiplier – 1);
var displayInsulationAdd = calculatedBaseBtu * (insulationMultiplier – 1);
sunlightAdjResultElement.textContent = Math.round(displaySunlightAdd);
insulationAdjResultElement.textContent = Math.round(displayInsulationAdd);
resultsDiv.style.display = 'block';
updateChart(totalBtu, calculatedBaseBtu, occupancyBtu, applianceBtu, displaySunlightAdd, displayInsulationAdd);
}
function resetCalculator() {
document.getElementById('roomLength').value = 15;
document.getElementById('roomWidth').value = 12;
document.getElementById('roomHeight').value = 8;
document.getElementById('sunlightExposure').value = 1.15;
document.getElementById('occupancy').value = 2;
document.getElementById('heatGeneratingAppliances').value = 400;
document.getElementById('insulationQuality').value = 1.0;
document.getElementById('results').style.display = 'none';
clearErrorMessages();
updateChart(0, 0, 0, 0, 0, 0); // Reset chart to show zeros
}
function copyResults() {
var primaryResult = document.getElementById('primary-result').textContent;
var baseBtu = document.getElementById('baseBtuResult').textContent;
var occupancyBtu = document.getElementById('occupancyBtuResult').textContent;
var applianceBtu = document.getElementById('applianceBtuResult').textContent;
var sunlightAdj = document.getElementById('sunlightAdjResult').textContent;
var insulationAdj = document.getElementById('insulationAdjResult').textContent;
var assumptions = "Key Assumptions:\n";
var assumptionList = document.querySelectorAll('.key-assumptions ul li');
for (var i = 0; i 0 ? sunlightAdd : 0;
var insulationContribution = insulationAdd 0 ? componentSunlight : 0 // Only show positive contributions
},
{
label: 'Insulation Load',
value: componentInsulation > 0 ? componentInsulation : 0 // Only show positive contributions from poor insulation
},
{
label: 'Occupancy Load',
value: componentOccupancy
},
{
label: 'Appliance Load',
value: componentAppliance
}
];
// Create labels for the chart segments
var chartLabels = dataSeries1.map(function(item) { return item.label; });
var chartValues = dataSeries1.map(function(item) { return item.value; });
// Sum up the values to ensure the total matches the primary result
var totalChartedValue = chartValues.reduce(function(sum, val) { return sum + val; }, 0);
// Adjust totalBtu if it differs from the sum of charted components due to calculation nuances
// Let's ensure the chart visually represents the components that sum to the primary result.
// The formula application might differ slightly between raw total and component sum visualization.
// For the purpose of this chart, we will plot the calculated components.
// Re-evaluating formula: Total BTU = (Base BTU * SunlightMultiplier) * InsulationMultiplier + Occupancy BTU + Appliance BTU
// This means Sunlight and Insulation are applied multiplicatively to Base BTU, then added to fixed loads.
// This makes a simple stacked bar of additive components tricky.
// Let's simplify for chart visualization:
// Base BTU (from Area)
// Load from Occupancy
// Load from Appliances
// Additional Load from Sunlight (as a % of base)
// Additional Load from Poor Insulation (as a % of base)
var chartData = {
labels: ['Cooling Load Components'],
datasets: [
{
label: 'Base BTU (Area)',
data: [parseFloat(baseBtu)],
backgroundColor: '#007bff',
borderColor: '#007bff',
borderWidth: 1
},
{
label: 'Sunlight Contribution',
data: [componentSunlight > 0 ? componentSunlight : 0],
backgroundColor: '#ffc107',
borderColor: '#ffc107',
borderWidth: 1
},
{
label: 'Insulation Contribution',
data: [componentInsulation > 0 ? componentInsulation : 0], // Only show if it adds BTU (poor insulation)
backgroundColor: '#28a745',
borderColor: '#28a745',
borderWidth: 1
},
{
label: 'Occupancy Load',
data: [componentOccupancy],
backgroundColor: '#17a2b8',
borderColor: '#17a2b8',
borderWidth: 1
},
{
label: 'Appliance Load',
data: [componentAppliance],
backgroundColor: '#6f42c1',
borderColor: '#6f42c1',
borderWidth: 1
}
]
};
// The chart above might not sum perfectly to `totalBtu` if multipliers were applied multiplicatively in the formula.
// Let's adjust the calculation slightly to make chart components sum correctly, or ensure the chart reflects the formula accurately.
// If Total BTU = (Base BTU * SunlightMultiplier * InsulationMultiplier) + Occupancy + Appliance
// Then chart components could be:
// – Base BTU (Area * 20)
// – Load from Occupancy
// – Load from Appliances
// – Load from Sunlight Factor (e.g. Base * (SunlightMult-1))
// – Load from Insulation Factor (e.g. Base * (InsulationMult-1))
// This seems most aligned with the 'breakdown' concept.
// Let's re-ensure `totalBtu` is calculated as:
// Total BTU = (Base BTU * SunlightMultiplier * InsulationMultiplier) + Occupancy BTU + Appliance BTU
// Where Base BTU = Area * 20
var refinedBaseBtu = roomArea * baseBtuPerSqFt;
var refinedSunAdj = refinedBaseBtu * (sunlightMultiplier – 1); // BTU added by sun
var refinedInsAdj = refinedBaseBtu * (insulationMultiplier – 1); // BTU added by poor insulation or negative if good
var refinedTotalBtu = (refinedBaseBtu * sunlightMultiplier * insulationMultiplier) + occupancyBtu + applianceBtu;
refinedTotalBtu = Math.max(refinedTotalBtu, 0);
// Update primary result if it needs refinement based on this calculation
document.getElementById('primary-result').textContent = Math.round(refinedTotalBtu);
// Chart data based on this refined formula:
// Component 1: Base Area BTU (refinedBaseBtu)
// Component 2: Occupancy Load (occupancyBtu)
// Component 3: Appliance Load (applianceBtu)
// Component 4: Sunlight Load (refinedSunAdj – the *added* BTU from sun)
// Component 5: Insulation Load (refinedInsAdj – the *added* BTU from poor insulation, or negative if good)
// For a stacked bar chart, we typically sum positive contributions.
// Let's show: Base BTU, Sunlight Load, Occupancy Load, Appliance Load.
// And perhaps a separate insight into Insulation's effect.
// Simpler chart: Just show Base BTU, Occupancy, Appliances, and a combined 'Adjustments' category.
// Or, represent the *impact* of each factor.
// Final approach for chart: Show contributing factors that ADD to the load.
// 1. Base BTU (from area)
// 2. Occupancy BTU
// 3. Appliance BTU
// 4. Sunlight Load (positive BTU added)
// 5. Insulation Load (positive BTU added due to POOR insulation)
var chartDataFinal = {
labels: ['BTU Components'],
datasets: [
{
label: 'Base Area BTU',
data: [parseFloat(baseBtu)],
backgroundColor: '#007bff',
borderColor: '#007bff',
borderWidth: 1
},
{
label: 'Occupancy Load',
data: [parseFloat(occupancyBtu)],
backgroundColor: '#17a2b8',
borderColor: '#17a2b8',
borderWidth: 1
},
{
label: 'Appliance Load',
data: [parseFloat(applianceBtu)],
backgroundColor: '#6f42c1',
borderColor: '#6f42c1',
borderWidth: 1
},
{
label: 'Sunlight Load (Added BTU)',
data: [componentSunlight > 0 ? componentSunlight : 0],
backgroundColor: '#ffc107',
borderColor: '#ffc107',
borderWidth: 1
},
{
label: 'Poor Insulation Load (Added BTU)',
data: [componentInsulation > 0 ? componentInsulation : 0],
backgroundColor: '#28a745',
borderColor: '#28a745',
borderWidth: 1
}
]
};
var chartOptions = {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
stacked: true,
title: {
display: true,
text: 'Cooling Load Components'
}
},
y: {
stacked: true,
title: {
display: true,
text: 'BTU'
},
beginAtZero: true
}
},
plugins: {
legend: {
position: 'bottom',
},
title: {
display: true,
text: 'Breakdown of BTU Requirements'
}
}
};
var canvas = document.getElementById('btuChart');
// Ensure canvas context is obtained correctly
var ctx = canvas.getContext('2d');
window.btuChartInstance = new Chart(ctx, {
type: 'bar',
data: chartDataFinal,
options: chartOptions
});
}
// Initial calculation on page load
document.addEventListener('DOMContentLoaded', function() {
// Need to include Chart.js library for the chart to work.
// Since external libraries are forbidden, we need a pure SVG or Canvas implementation.
// Let's proceed with a basic Canvas implementation that mimics Chart.js functionality conceptually.
// However, for a real-world professional calculator, Chart.js would be used.
// Given the constraint, I'll implement a simplified Canvas drawing.
// IMPORTANT: A full Chart.js implementation is complex for pure JS canvas drawing.
// For the scope of this request, I will provide the structure and placeholders.
// A full native canvas chart drawing requires significant SVG/Canvas API knowledge.
// For demonstration, I'll simulate it or use a very basic drawing.
// Let's implement a simplified bar chart drawing directly on canvas.
// This is a non-trivial task.
// — Simplified Canvas Drawing Implementation —
// The following code will draw a basic bar chart. It's a simplified representation.
// For advanced charting (tooltips, responsiveness, complex datasets), a library is typically used.
// Initial calculation
calculateBtu();
});
// Re-implementing updateChart without Chart.js, using raw Canvas API
function updateChart(totalBtu, baseBtu, occupancyBtu, applianceBtu, sunlightAdd, insulationAdd) {
var canvas = document.getElementById('btuChart');
var ctx = canvas.getContext('2d');
ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear previous drawing
// Ensure calculation logic sums up correctly for chart representation
var componentBaseArea = parseFloat(baseBtu);
var componentSunlight = sunlightAdd > 0 ? sunlightAdd : 0; // Added BTU from sun
var componentInsulation = insulationAdd > 0 ? insulationAdd : 0; // Added BTU from poor insulation
var componentOccupancy = parseFloat(occupancyBtu);
var componentAppliance = parseFloat(applianceBtu);
// The total BTU should ideally be the sum of these components.
// Re-check the main formula to ensure it aligns with components.
// main formula: Total BTU = (Base BTU * SunlightMultiplier * InsulationMultiplier) + Occupancy BTU + Appliance BTU
// Let's display the components that *add* to the load.
// For chart: Base BTU, Occupancy, Appliances, Sunlight Load, Insulation Load (if positive).
var dataPoints = [
{ label: 'Base BTU', value: componentBaseArea, color: '#007bff' },
{ label: 'Sunlight Load', value: componentSunlight, color: '#ffc107' },
{ label: 'Insulation Load', value: componentInsulation, color: '#28a745' },
{ label: 'Occupancy Load', value: componentOccupancy, color: '#17a2b8' },
{ label: 'Appliance Load', value: componentAppliance, color: '#6f42c1' }
];
var totalChartSum = dataPoints.reduce(function(sum, dp) { return sum + dp.value; }, 0);
// If totalBtu calculation differs significantly from sum of components, this chart might be slightly misleading.
// The goal is to visually represent the components that build up the total.
var chartHeight = canvas.height – 40; // Leave space for labels
var chartWidth = canvas.width – 80; // Leave space for labels
var barWidth = chartWidth / dataPoints.length * 0.8; // 80% of available space for bars
var barSpacing = chartWidth / dataPoints.length * 0.2; // Remaining 20% for spacing
var maxValue = Math.max.apply(Math, dataPoints.map(function(dp) { return dp.value; })) || 1; // Prevent division by zero
// Ensure maxValue is large enough to accommodate total for better scale
var overallMaxValue = Math.max(maxValue, totalBtu);
if (overallMaxValue === 0) overallMaxValue = 1; // Handle case where all values are zero
// Draw Y-axis label and scale
ctx.fillStyle = '#333′;
ctx.font = '12px Segoe UI';
ctx.textAlign = 'right';
ctx.fillText(Math.round(overallMaxValue).toString(), 50, 30);
ctx.fillText(Math.round(overallMaxValue / 2).toString(), 50, chartHeight / 2 + 20);
ctx.fillText('0', 50, chartHeight + 20);
// Draw X-axis labels and bars
var currentX = 60; // Start position for the first bar
dataPoints.forEach(function(dp) {
var barHeight = (dp.value / overallMaxValue) * chartHeight;
// Draw bar
ctx.fillStyle = dp.color;
ctx.fillRect(currentX, chartHeight + 20 – barHeight, barWidth, barHeight);
// Draw label below bar
ctx.fillStyle = '#333';
ctx.textAlign = 'center';
ctx.fillText(dp.label, currentX + barWidth / 2, chartHeight + 40);
currentX += barWidth + barSpacing;
});
// Add title
ctx.fillStyle = '#004a99′;
ctx.font = '16px Segoe UI';
ctx.textAlign = 'center';
ctx.fillText('Breakdown of BTU Requirements', canvas.width / 2, 20);
}