Residential air conditioners (ACs) in India drive large portions of summer electricity demand and household bills. The condenser — the outdoor heat-rejection unit — is a key subsystem whose operating point (fan speed, condenser pressure, water/air flow, cleanliness) strongly affects compressor work and overall energy use. Recent advances in sensing, edge computing and AI enable real-time optimization of condenser operation (and associated plant-level setpoints) to reduce energy consumption, shave peak demand, and lower bills while preserving comfort. This review summarizes the state of the art for AI-enabled condenser optimization, evaluates evidence from global and India-relevant studies and pilots, outlines practical architectures for residential deployment, and recommends research and policy actions to accelerate adoption across India’s diverse housing stock.

Optimizing the condenser subsystem with AI is a high-leverage, cost-effective pathway to reduce residential AC energy use and electricity bills in India. A mix of lightweight edge controllers (hybrid models), inexpensive sensing, fault detection and tight user-centric design can achieve meaningful savings today; integration with PV, TOU tariffs and DR magnifies benefits. Policy action (incentives, standards) and focused piloting—especially for retrofit scenarios common in Indian housing—will be crucial to scale impact.

Abhyankar N., et al. “Accelerating room air conditioner efficiency in India” (overview of national context and policy levers). [1] Nantum Research — co-optimize condenser water temperature and cooling tower fan using synthetic data (method for condenser loop co-optimization). [2] Cheng C-C, et al. “Artificial Intelligence-Assisted Heating, Ventilation and Air Conditioning: A Review” (review on AI HVAC benefits and ranges). [3] Automated Demand Response Pilot in Delhi — AEEE (report). [4] Tata Power — residential demand response pilots and demand flexibility materials. [5] LG Air – Conditioner: – https://www.lg.com/in/magazine/introducing-energy-manager-your-solution-to-air-conditioners-energy-efficiency-during-monsoon/?srsltid=AfmBOooXSgmelkYkyW1E2Rc9JOVWQDnQScdGv15qfsr-WffcU7sXgBME&utm_source=chatgpt.com [6] International Energy Agency (IEA), Can efficient cooling help manage fast-rising electricity demand in India?, Energy Efficiency 2023. [7] Experimental Study of the Model Predictive Control for a Residential Split Air Conditioner Bharat Bohara, Rajat Pungaliya, Sachin, Patwardhan [8] Xu, S. et al. — Efficient and assured reinforcement learning-based HVAC control (Scientific Reports / Nature family, 2025). [9]

© 2025 International Journal of Engineering and Techniques (IJET).

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