Hvac Load Calculation Programs

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HVAC Load Calculation Programs

Estimate Your Home's Heating & Cooling Needs Accurately

HVAC Load Calculator

Enter the total heated and cooled living area.
Zone 1 (Hot – Miami) Zone 2 (Warm – Atlanta) Zone 3 (Mild – Dallas) Zone 4 (Mixed – Chicago) Zone 5 (Cool – Denver) Zone 6 (Cold – Minneapolis) Zone 7 (Very Cold – Fairbanks) Zone 8 (Subarctic – Anchorage) Select your region's climate zone for typical design temperatures.
Enter the average R-value of walls and attic (e.g., 13, 19, 38). Higher is better.
Percentage of wall space that is windows (e.g., 15%).
Air Changes per Hour. Typical is 0.3-0.5. Tighter homes have lower ACH.
Enter the typical number of people living in the home.

Estimated Peak Load

BTU/hr
Based on simplified R-value, infiltration, and internal gains.

Key Load Components

Heating Load: BTU/hr
Cooling Load: BTU/hr
Ventilation Load: BTU/hr

Assumptions Made

Climate Zone:
Avg. Insulation R-Value:
Window Area: %
Air Infiltration: ACH
Occupants:

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HVAC load calculation programs are essential software tools used by engineers, contractors, and homeowners to estimate the heating and cooling demands of a building. These programs take into account various factors related to the building's structure, climate, and occupancy to determine the required capacity (in British Thermal Units per hour, BTU/hr) of an HVAC system. Accurately sizing an HVAC system prevents issues like short-cycling, poor humidity control, and inadequate comfort, ultimately saving energy and money.

Who Should Use HVAC Load Calculation Programs?

  • HVAC Professionals: Installers, designers, and technicians use these tools to select and size equipment correctly for new installations or replacements.
  • Homeowners: Those undertaking major renovations or building new homes can use simplified calculators or consult professionals to understand their needs.
  • Energy Auditors: Professionals assessing a building's energy efficiency can use these calculations to identify areas for improvement.

Common Misconceptions:

  • "Bigger is Always Better": Oversizing HVAC units leads to inefficiency and discomfort. An oversized AC might cool the air too quickly without removing sufficient humidity.
  • "One Size Fits All": Every building is unique. Factors like orientation, window type, and insulation levels significantly impact load requirements.
  • "Square Footage is Enough": While a starting point, square footage alone doesn't account for insulation, window efficiency, climate, or internal heat gains.

{primary_keyword} Formula and Mathematical Explanation

The calculation of HVAC load is complex, involving detailed heat transfer principles. Professional software uses methodologies like the Manual J protocol from ACCA (Air Conditioning Contractors of America). A simplified approach, however, can illustrate the core components:

Simplified Load Calculation Concept

Total Load (Heating or Cooling) = External Load (Transmission & Infiltration) + Internal Load (Occupants, Lighting, Appliances)

External Load Components:

  • Transmission Load: Heat transfer through the building envelope (walls, roof, windows, foundation) due to temperature differences between inside and outside. It's calculated using the U-value (or R-value) of the materials, the area, and the temperature difference (ΔT). Formula: Q = U * A * ΔT, where U = 1/R.
  • Infiltration Load: Heat gain or loss due to air leakage into (in cool weather) or out of (in hot weather) the building. It depends on the air leakage rate (ACH – Air Changes per Hour), the volume of air, and the specific heat and latent heat of air.

Internal Load Components:

  • Occupancy: People generate heat (sensible and latent).
  • Appliances & Lighting: Electrical devices and lights produce heat.

Simplified Formula Example (Conceptual)

A highly simplified approach for **HVAC load calculation programs** might consider:

Cooling Load ≈ (Area * Climate Factor) + (Window Area Factor) + (Infiltration Factor) + (Occupancy Factor)

Heating Load ≈ (Area * Climate Factor) + (Infiltration Factor)

Where:

  • Area is conditioned square footage.
  • Climate Factor is a multiplier derived from climate zone data (temperature differences, solar gain).
  • Window Area Factor accounts for solar heat gain and transmission through windows.
  • Infiltration Factor quantifies heat transfer from air exchange.
  • Occupancy Factor accounts for heat generated by people.

Variables Table

Key Variables in HVAC Load Calculations
Variable Meaning Unit Typical Range / Notes
Conditioned Square Footage Total heated and cooled living space area. sq ft 100 – 5000+
Climate Zone Geographic region with similar temperature profiles. ASHRAE Zone 1 (Hot) to 8 (Subarctic)
Insulation R-Value Resistance to heat flow through building envelope components. R 5 (poor) – 60 (excellent)
Window Area (%) Percentage of wall surface that is windows. % 5% – 40%
Air Infiltration (ACH) Number of times the entire volume of air inside a building is replaced per hour. Air Changes per Hour (ACH) 0.1 (tight) – 1.0+ (leaky)
Occupancy Number of people residing in the space. # People 1 – 10+
Inside Design Temp (Cooling) Desired indoor temperature in summer. °F 70-75°F
Outside Design Temp (Cooling) Expected peak outdoor temperature for sizing. °F 85-115°F (varies by zone)
Inside Design Temp (Heating) Desired indoor temperature in winter. °F 68-72°F
Outside Design Temp (Heating) Expected lowest outdoor temperature for sizing. °F 0-30°F (varies by zone)
BTU/hr British Thermal Units per hour, a measure of heat energy transfer rate. BTU/hr Varies widely based on factors.

Practical Examples (Real-World Use Cases)

Example 1: Suburban Family Home

  • Inputs:
  • Conditioned Square Footage: 2200 sq ft
  • Climate Zone: 4 (Mixed – Chicago)
  • Average Insulation R-Value: 19
  • Window Area (% of Wall): 20%
  • Air Infiltration Rate (ACH): 0.4
  • Number of Occupants: 5

Calculation Result Interpretation:

Using the calculator, we might find:

  • Peak Cooling Load: 36,000 BTU/hr
  • Peak Heating Load: 48,000 BTU/hr
  • Ventilation Load: 5,000 BTU/hr (This is a portion of the overall load, particularly for cooling)

Financial Interpretation: A contractor would use these figures to recommend a specific furnace and air conditioner size. For instance, a 3-ton AC unit (36,000 BTU/hr) and a 100,000 BTU/hr furnace might be considered. Choosing a system slightly larger than the peak cooling load (3-ton) but appropriately sized for heating ensures comfort year-round without excessive energy consumption from short-cycling or running constantly. Investing in better insulation or energy-efficient windows (reducing R-Value and Window Area factors) could potentially lower these required capacities, leading to smaller, less expensive equipment and lower operating costs.

Example 2: Small Urban Apartment

  • Inputs:
  • Conditioned Square Footage: 850 sq ft
  • Climate Zone: 2 (Warm – Atlanta)
  • Average Insulation R-Value: 15
  • Window Area (% of Wall): 25%
  • Air Infiltration Rate (ACH): 0.5
  • Number of Occupants: 2

Calculation Result Interpretation:

  • Peak Cooling Load: 16,500 BTU/hr
  • Peak Heating Load: 22,000 BTU/hr
  • Ventilation Load: 2,000 BTU/hr

Financial Interpretation: This small space requires a much smaller HVAC unit, likely a 1.5-ton AC (18,000 BTU/hr) and a 40,000-50,000 BTU/hr furnace. An oversized system here would be extremely inefficient and uncomfortable. If the apartment is in an older building with poor insulation and higher infiltration, the calculated load would be higher, potentially pushing the recommendation towards a 2-ton AC. This highlights the cost-benefit of upgrades: improving the building envelope might allow for a smaller unit, saving on upfront purchase costs and long-term energy bills. This is where understanding [HVAC system sizing](https://example.com/hvac-system-sizing) is crucial.

How to Use This HVAC Load Calculation Programs Calculator

Our simplified HVAC Load Calculator provides a quick estimate of your home's heating and cooling needs. Follow these steps for accurate results:

  1. Input Square Footage: Enter the total heated and cooled living area of your home in square feet.
  2. Select Climate Zone: Choose the ASHRAE climate zone that best represents your geographic location. You can find this information online if unsure.
  3. Estimate Insulation: Provide the average R-value of your home's walls and attic. Higher values indicate better insulation. If you're unsure, estimate based on the age of your home or consult local building standards.
  4. Enter Window Area: Estimate the percentage of your exterior walls that are windows.
  5. Input Air Infiltration: Estimate the Air Changes per Hour (ACH). A typical, reasonably sealed home might be 0.3-0.5 ACH. Very leaky homes could be 0.7+ ACH, while new, tight construction could be below 0.3 ACH.
  6. Specify Occupancy: Enter the number of people who regularly live in the home.
  7. Click 'Calculate Load': The calculator will process your inputs and display the estimated peak cooling and heating loads in BTU/hr.

Reading the Results:

  • Primary Result (Peak Load): This is the highest estimated BTU/hr your system will need to deliver under extreme conditions (either heating or cooling, whichever is higher). This is the key metric for selecting equipment capacity.
  • Intermediate Loads: These break down the total load into components like heating demand, cooling demand, and ventilation requirements.
  • Assumptions: Review the assumptions used in the calculation to ensure they accurately reflect your home.

Decision-Making Guidance: The calculated load is a critical input for selecting an appropriately sized HVAC unit. Consult with a qualified HVAC professional who uses industry-standard methods like ACCA Manual J for a precise calculation. Using this calculator can help you have a more informed discussion with them about [HVAC system sizing](https://example.com/hvac-system-sizing) and potential [energy efficiency upgrades](https://example.com/energy-efficiency-upgrades).

Key Factors That Affect HVAC Load Results

Several factors significantly influence the heating and cooling load of a building. Understanding these helps in appreciating the complexity behind accurate HVAC load calculation programs and potential improvements:

  1. Climate and Outdoor Design Temperatures: The most crucial factor. Homes in colder climates (Zone 6-8) require higher heating capacity, while homes in hotter climates (Zone 1-3) need more cooling capacity. Design temperatures (the expected extreme highs and lows for sizing) directly impact the required BTU/hr.
  2. Building Envelope Insulation (R-Value): Higher R-values in walls, attics, and floors mean less heat transfer. A well-insulated home has a significantly lower heating and cooling load, allowing for smaller, more efficient equipment. Poor insulation drastically increases load.
  3. Window Quality and Area: Windows are often thermal weak points. Their U-factor (heat transfer), Solar Heat Gain Coefficient (SHGC), and the total area significantly affect both heating (heat loss) and cooling (solar heat gain) loads. Double or triple-paned, low-E windows reduce these impacts.
  4. Air Leakage (Infiltration): Uncontrolled air exchange brings outdoor air inside, adding load. In winter, cold air infiltrates, increasing heating demand. In summer, hot, humid air infiltrates, increasing cooling and dehumidification needs. Sealing air leaks is a cost-effective way to reduce load.
  5. Building Orientation and Shading: The direction a house faces impacts solar heat gain. South-facing windows (in the Northern Hemisphere) receive significant sun in winter (beneficial) but can cause overheating in summer without proper shading (overhangs, blinds). East-facing windows get intense morning sun.
  6. Internal Heat Gains: Heat generated by occupants, lighting (incandescent bulbs produce more heat), and appliances (stoves, computers, TVs) adds to the cooling load. While this increases cooling demand, it contributes minimally to heating demand.
  7. Ductwork Design and Sealing: Leaky or poorly insulated ductwork in unconditioned spaces (attics, crawlspaces) can lose a significant amount of heated or cooled air before it reaches the living space, effectively increasing the system's required capacity to compensate.
  8. Ventilation Strategy: While controlled ventilation (like using an ERV/HRV) is necessary for air quality, it introduces conditioned or unconditioned air. The energy required to condition this incoming air is part of the load calculation.

Frequently Asked Questions (FAQ)

What is the difference between heating load and cooling load?

Heating load is the amount of heat energy needed to maintain a desired indoor temperature during cold weather, primarily to compensate for heat loss through the building envelope and infiltration. Cooling load is the heat energy that must be removed to maintain a desired indoor temperature during warm weather, accounting for heat gain from outside, solar radiation, and internal sources.

How accurate are online HVAC load calculators?

Online calculators like this one provide a good estimate based on simplified formulas and common assumptions. However, they are not a substitute for a professional load calculation (e.g., ACCA Manual J), which uses more detailed inputs and algorithms specific to your home's construction and location.

What happens if my HVAC system is oversized?

An oversized system short-cycles – it turns on and off frequently without running long enough to effectively dehumidify the air in cooling mode, leading to a cold, clammy feeling. It also wears out components faster due to frequent starts and stops and can be less energy-efficient overall.

What happens if my HVAC system is undersized?

An undersized system will struggle to maintain the desired temperature during peak heating or cooling periods. It will run constantly, consume excessive energy, and may not be able to keep the house comfortable on the hottest or coldest days.

Do internal heat gains matter for heating load?

Internal heat gains (from people, appliances, lights) significantly contribute to the cooling load. However, they have a much smaller, often negligible, impact on the heating load. In most heating calculations, these gains are either ignored or accounted for minimally.

How does window efficiency (e.g., Low-E coatings) affect load?

Energy-efficient windows with Low-E coatings reduce heat transfer (U-factor) and block specific wavelengths of solar radiation (SHGC). This lowers both heat loss in winter and heat gain in summer, reducing both heating and cooling loads, leading to significant energy savings.

Is it better to seal air leaks or add insulation?

Both are important. Sealing air leaks is often the most cost-effective first step, as it directly reduces uncontrolled heat transfer and moisture infiltration. Adding insulation further improves the thermal resistance of the building envelope. A comprehensive approach includes both.

Can I use Manual J data if I don't have software?

ACCA Manual J is a detailed standard. While software simplifies its application, professionals can perform Manual J calculations manually or use detailed worksheets. Understanding the principles is key, but for precise results, specialized software or professional consultation is recommended.

© 2023 Your Company Name. All rights reserved.

This calculator provides estimates for informational purposes only. Consult a qualified HVAC professional for precise calculations and system selection.

var squareFootageInput = document.getElementById("squareFootage"); var climateZoneInput = document.getElementById("climateZone"); var insulationRValueInput = document.getElementById("insulationRValue"); var windowAreaInput = document.getElementById("windowArea"); var infiltrationRateInput = document.getElementById("infiltrationRate"); var occupancyInput = document.getElementById("occupancy"); var squareFootageError = document.getElementById("squareFootageError"); var climateZoneError = document.getElementById("climateZoneError"); var insulationRValueError = document.getElementById("insulationRValueError"); var windowAreaError = document.getElementById("windowAreaError"); var infiltrationRateError = document.getElementById("infiltrationRateError"); var occupancyError = document.getElementById("occupancyError"); var resultDiv = document.getElementById("result"); var primaryResultSpan = document.getElementById("primaryResult"); var intermediateHeatingSpan = document.getElementById("intermediateHeating").getElementsByTagName("span")[0]; var intermediateCoolingSpan = document.getElementById("intermediateCooling").getElementsByTagName("span")[0]; var intermediateVentilationSpan = document.getElementById("intermediateVentilation").getElementsByTagName("span")[0]; var assumptionClimateSpan = document.getElementById("assumptionClimate").getElementsByTagName("span")[0]; var assumptionInsulationSpan = document.getElementById("assumptionInsulation").getElementsByTagName("span")[0]; var assumptionWindowsSpan = document.getElementById("assumptionWindows").getElementsByTagName("span")[0]; var assumptionInfiltrationSpan = document.getElementById("assumptionInfiltration").getElementsByTagName("span")[0]; var assumptionOccupancySpan = document.getElementById("assumptionOccupancy").getElementsByTagName("span")[0]; // Default factors based on simplified models and climate zones // These are highly simplified and illustrative. Real Manual J is complex. var climateFactors = { 1: { tempDiffCool: 20, tempDiffHeat: 40, solarFactor: 1.2, infiltrationFactor: 0.8 }, // Hot 2: { tempDiffCool: 18, tempDiffHeat: 35, solarFactor: 1.1, infiltrationFactor: 0.7 }, // Warm 3: { tempDiffCool: 16, tempDiffHeat: 30, solarFactor: 1.0, infiltrationFactor: 0.6 }, // Mild 4: { tempDiffCool: 14, tempDiffHeat: 50, solarFactor: 0.9, infiltrationFactor: 0.75 }, // Mixed 5: { tempDiffCool: 12, tempDiffHeat: 60, solarFactor: 0.8, infiltrationFactor: 0.9 }, // Cool 6: { tempDiffCool: 10, tempDiffHeat: 70, solarFactor: 0.7, infiltrationFactor: 1.0 }, // Cold 7: { tempDiffCool: 8, tempDiffHeat: 80, solarFactor: 0.6, infiltrationFactor: 1.1 }, // Very Cold 8: { tempDiffCool: 6, tempDiffHeat: 90, solarFactor: 0.5, infiltrationFactor: 1.2 } // Subarctic }; function validateInput(value, errorElement, min, max, inputName) { var errorMsg = ""; if (value === "") { errorMsg = inputName + " is required."; } else { var numValue = parseFloat(value); if (isNaN(numValue)) { errorMsg = inputName + " must be a number."; } else if (numValue max) { errorMsg = inputName + " cannot be more than " + max + "."; } } if (errorElement) { errorElement.textContent = errorMsg; } return errorMsg === ""; } function calculateLoad() { var sf = parseFloat(squareFootageInput.value); var cz = parseInt(climateZoneInput.value); var rVal = parseFloat(insulationRValueInput.value); var winArea = parseFloat(windowAreaInput.value); var infRate = parseFloat(infiltrationRateInput.value); var occ = parseInt(occupancyInput.value); var isValid = true; isValid = validateInput(squareFootageInput.value, squareFootageError, 100, 10000, "Square Footage") && isValid; isValid = validateInput(insulationRValueInput.value, insulationRValueError, 1, 60, "Insulation R-Value") && isValid; isValid = validateInput(windowAreaInput.value, windowAreaError, 0, 100, "Window Area") && isValid; isValid = validateInput(infiltrationRateInput.value, infiltrationRateError, 0.1, 2.0, "Infiltration Rate") && isValid; isValid = validateInput(occupancyInput.value, occupancyError, 1, 20, "Number of Occupants") && isValid; if (!isValid) { resultDiv.style.display = "none"; return; } var climate = climateFactors[cz]; // — Simplified Calculation Logic — // This is a conceptual simplification. Real Manual J is much more detailed. // Base Load per Sq Ft (highly variable) var baseCoolingPerSqFt = 12; // BTU/hr/sq ft var baseHeatingPerSqFt = 18; // BTU/hr/sq ft // Transmission Load Factor (inverse of R-value, lower R means higher load) // Simplified: Assume wall R-value dominates envelope resistance. var transmissionFactor = 1 / rVal; // Lower R means higher factor // Window Load Factor (solar gain + transmission) var windowSolarGainFactor = 50; // BTU/hr per % window area (simplified solar gain) var windowTransmissionFactor = 1.5; // BTU/hr per % window area per degree F difference // Infiltration Load Factor (sensible and latent heat gain/loss) var infiltrationSensibleFactor = 0.018 * (infRate * sf) * (climate.tempDiffCool – 5); // Simplified sensible heat gain from air var infiltrationLatentFactor = 0.011 * (infRate * sf) * (climate.tempDiffCool – 5) * 0.7; // Simplified latent heat gain (humidity) // Internal Heat Gains (Occupants) var occupantSensibleHeat = occ * 200; // BTU/hr per person (approx) var occupantLatentHeat = occ * 150; // BTU/hr per person (approx) // — Calculate Components — // Cooling Load Components var coolingTransmission = sf * transmissionFactor * climate.tempDiffCool; var coolingSolarGain = sf * (winArea / 100) * windowSolarGainFactor; var coolingWindowTransmission = sf * (winArea / 100) * windowTransmissionFactor * climate.tempDiffCool; var coolingInfiltrationSensible = infiltrationSensibleFactor; var coolingInfiltrationLatent = infiltrationLatentFactor; var coolingInternalSensible = occupantSensibleHeat; var coolingInternalLatent = occupantLatentHeat; var peakCoolingLoad = coolingTransmission + coolingSolarGain + coolingWindowTransmission + coolingInfiltrationSensible + coolingInfiltrationLatent + coolingInternalSensible + coolingInternalLatent; // Heating Load Components var heatingTransmission = sf * transmissionFactor * climate.tempDiffHeat; var heatingInfiltrationSensible = 0.018 * (infRate * sf) * climate.tempDiffHeat; // Heat loss from cold air var peakHeatingLoad = heatingTransmission + heatingInfiltrationSensible; // Ventilation Load (often included within cooling load, but can be separated) // This is a VERY rough estimate. Professional calculations use specific air flow rates. var ventilationLoad = (sf * 0.01 * climate.tempDiffCool) + (occ * 100); // Base + occupant contribution // Ensure loads are not negative peakCoolingLoad = Math.max(10000, peakCoolingLoad); // Minimum common AC size peakHeatingLoad = Math.max(20000, peakHeatingLoad); // Minimum common Furnace size ventilationLoad = Math.max(1000, ventilationLoad); var primaryLoad = Math.max(peakHeatingLoad, peakCoolingLoad); primaryResultSpan.textContent = primaryLoad.toFixed(0); intermediateHeatingSpan.textContent = peakHeatingLoad.toFixed(0); intermediateCoolingSpan.textContent = peakCoolingLoad.toFixed(0); intermediateVentilationSpan.textContent = ventilationLoad.toFixed(0); // Update assumptions var zoneNames = { 1: "Zone 1 (Hot)", 2: "Zone 2 (Warm)", 3: "Zone 3 (Mild)", 4: "Zone 4 (Mixed)", 5: "Zone 5 (Cool)", 6: "Zone 6 (Cold)", 7: "Zone 7 (Very Cold)", 8: "Zone 8 (Subarctic)" }; assumptionClimateSpan.textContent = zoneNames[cz]; assumptionInsulationSpan.textContent = rVal + " (R)"; assumptionWindowsSpan.textContent = winArea + "%"; assumptionInfiltrationSpan.textContent = infRate + " ACH"; assumptionOccupancySpan.textContent = occ; resultDiv.style.display = "block"; document.getElementById("intermediateResults").style.display = "block"; document.getElementById("assumptions").style.display = "block"; updateChart(primaryLoad, peakHeatingLoad, peakCoolingLoad); return true; // Indicate success } function resetCalculator() { squareFootageInput.value = 1500; climateZoneInput.value = 4; insulationRValueInput.value = 19; windowAreaInput.value = 20; infiltrationRateInput.value = 0.4; occupancyInput.value = 4; // Clear errors squareFootageError.textContent = ""; climateZoneError.textContent = ""; insulationRValueError.textContent = ""; windowAreaError.textContent = ""; infiltrationRateError.textContent = ""; occupancyError.textContent = ""; resultDiv.style.display = "none"; document.getElementById("intermediateResults").style.display = "none"; document.getElementById("assumptions").style.display = "none"; if (myChart) { myChart.destroy(); // Destroy previous chart if exists } } function copyResults() { var resultText = "HVAC Load Calculation Results:\n\n"; resultText += "Estimated Peak Load: " + primaryResultSpan.textContent + " BTU/hr\n"; resultText += "Heating Load: " + intermediateHeatingSpan.textContent + " BTU/hr\n"; resultText += "Cooling Load: " + intermediateCoolingSpan.textContent + " BTU/hr\n"; resultText += "Ventilation Load: " + intermediateVentilationSpan.textContent + " BTU/hr\n\n"; resultText += "Key Assumptions:\n"; resultText += "Climate Zone: " + assumptionClimateSpan.textContent + "\n"; resultText += "Avg. Insulation R-Value: " + assumptionInsulationSpan.textContent + "\n"; resultText += "Window Area: " + assumptionWindowsSpan.textContent + "\n"; resultText += "Air Infiltration: " + assumptionInfiltrationSpan.textContent + "\n"; resultText += "Occupants: " + assumptionOccupancySpan.textContent + "\n"; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Copied!' : 'Copy failed!'; console.log('Copying text command was ' + msg); // Optionally show a temporary message to the user var tempMessage = document.createElement("div"); tempMessage.textContent = msg; tempMessage.style.position = "fixed"; tempMessage.style.top = "50%"; tempMessage.style.left = "50%"; tempMessage.style.transform = "translate(-50%, -50%)"; tempMessage.style.backgroundColor = "#004a99"; tempMessage.style.color = "white"; tempMessage.style.padding = "15px"; tempMessage.style.borderRadius = "5px"; tempMessage.style.zIndex = "1000"; document.body.appendChild(tempMessage); setTimeout(function(){ tempMessage.remove(); }, 1500); } catch (err) { console.error('Fallback: Oops, unable to copy', err); // Optionally show a temporary message to the user var tempMessage = document.createElement("div"); tempMessage.textContent = "Copy failed!"; tempMessage.style.position = "fixed"; tempMessage.style.top = "50%"; tempMessage.style.left = "50%"; tempMessage.style.transform = "translate(-50%, -50%)"; tempMessage.style.backgroundColor = "red"; tempMessage.style.color = "white"; tempMessage.style.padding = "15px"; tempMessage.style.borderRadius = "5px"; tempMessage.style.zIndex = "1000"; document.body.appendChild(tempMessage); setTimeout(function(){ tempMessage.remove(); }, 1500); } document.body.removeChild(textArea); } // Charting Logic var chartCanvas = document.createElement("canvas"); chartCanvas.id = "loadChart"; var chartContainer = document.createElement("div"); chartContainer.className = "chart-container"; chartContainer.appendChild(chartCanvas); document.getElementById("calculator-inputs").parentNode.insertBefore(chartContainer, document.getElementById("calculator-inputs").nextSibling); var myChart = null; function updateChart(primary, heating, cooling) { var ctx = document.getElementById("loadChart").getContext("2d"); if (myChart) { myChart.destroy(); // Destroy previous chart instance } var maxLoad = Math.max(heating, cooling, primary) * 1.1; // Add some buffer myChart = new Chart(ctx, { type: 'bar', data: { labels: ['Peak Heating', 'Peak Cooling', 'Overall Primary'], datasets: [{ label: 'Load (BTU/hr)', data: [heating, cooling, primary], backgroundColor: [ 'rgba(70, 130, 180, 0.6)', // Steel Blue for Heating 'rgba(255, 99, 71, 0.6)', // Tomato Red for Cooling 'rgba(0, 74, 153, 0.6)' // Primary Blue for Overall ], borderColor: [ 'rgba(70, 130, 180, 1)', 'rgba(255, 99, 71, 1)', 'rgba(0, 74, 153, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, max: maxLoad, title: { display: true, text: 'Load (BTU/hr)' } } }, plugins: { legend: { display: false // Legend handled by custom div }, title: { display: true, text: 'HVAC Load Breakdown' } } } }); // Add custom legend HTML var legendHTML = '
' + ' Heating Load' + ' Cooling Load' + ' Primary (Max) Load' + '
'; if (chartContainer.nextElementSibling && chartContainer.nextElementSibling.className === 'chart-legend') { chartContainer.nextElementSibling.remove(); } chartContainer.insertAdjacentHTML('afterend', legendHTML); } function toggleFaq(element) { var content = element.nextElementSibling; var faqItem = element.parentElement; if (content.style.display === "block") { content.style.display = "none"; faqItem.classList.remove("open"); } else { content.style.display = "block"; faqItem.classList.add("open"); } } // Initial calculation and chart rendering on page load document.addEventListener("DOMContentLoaded", function() { // Add event listeners for real-time updates var inputs = document.querySelectorAll('.loan-calc-container input, .loan-calc-container select'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', calculateLoad); } calculateLoad(); // Perform initial calculation });

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