3 items
Calculate Inverter Split AC running cost in ₹ — Daily, Weekly, Monthly & Yearly for 1.5 Ton 5-Star BEE Rated AC AC Running Cost Calculator helps you estimate the electricity cost of running your 1.5 Ton 5-Star BEE Rated Inverter Split AC — Daily, Weekly, Monthly, and Yearly — right from your browser. AC Specifications • AC Type: 1.5 Ton Inverter AC • ISEER rating : 5 and above Daily Data Input Enter key parameters to get accurate cost estimates: • Daily Usage Hours — Total hours your AC runs per day • Electricity Rate (₹/kWh) — Your local electricity cost per unit • Room Temperature (°C) — Average room temperature • Desired Temperature (°C) — Your preferred AC set temperature • Usage Pattern — Choose from Continuous, Intermittent, or Night Only • Number of Days — Days AC is used per week/month Power Consumption Breakdown Get detailed consumption data across all operating modes: • Full Speed (100%) — Power usage at maximum load • Medium Speed (80%) — Power usage at moderate load • Low Speed (50%) — Power usage at half load • Eco / Sleep Mode — Power usage in energy-saving mode Why Use This Extension? • Instantly calculate AC running costs without any app download • Plan your monthly electricity budget with precision • Understand how usage patterns affect your electricity bill • Works for all Indian electricity tariff rates (₹/kWh) • Lightweight, fast, and works offline Perfect for Indian households looking to manage electricity expenses and make smarter AC usage decisions. Simply enter your details and get instant cost breakdowns at a glance!
Mar 3, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.