Energy Efficiency on AC System Using IoT-Based Analysis on Thermal Characteristics Method
Joshua Dwi Prasetyo, Muhammad Siddiq Purwongemboro, Perystito Septhian Siahaan, Maman Budiman
Internet of Things Laboratory, Department of Physics, Institut Teknologi Bandung
Abstract
Increasing demand and use of energy and declining energy source make today’s society have to do energy efficiency. The main focus of this energy efficiency research is AC (Air Conditioner) system because it contributes the most of total power consumption of building. The problems hindering the energy efficiency process on AC system is that the sensor in the AC system doesn’t represent the room’s thermal condition, parameters relevant to the thermal condition are not considered, and the control used only uses temperature optimization without considering energy efficiency. The solution proposed is designing a system that can overcome the problems with Internet of Things (IoT) technology. Other than physics modelling on thermal characteristics using thermodynamics and heat transfer concepts, Artificial Neural Network is also used to manage control part of the system. This research is conducted using experiment method on AC system and room of IoT Laboratory, Department of Physics, Institut Teknologi Bandung. The study on the effects of Duty Cycle (DC) and difference between outdoor and indoor temperature on thermal characteristics value, time needed to obtain thermal characteristics, the effects of DC and outdoor temperature on indoor temperature, the effects of room occupancy on thermal characteristics value, and control result have been conducted. The control has been tested: the average temperature is 21.98$^0$C on outdoor temperature value about 27$^0$C, the temperature range is 21.98$^0$C $pm$ 1.7$^0$C, and the saving obtained is 60%.
Keywords: Energy efficiency, AC system, thermal condition, IoT, Artificial Neural Network
Topic: Artificial Intelligent and soft computing