Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Intelligent Energy Management in Residential Building

Zubair, Nur Faizah (2014) Intelligent Energy Management in Residential Building. IRC, Universiti Teknologi PETRONAS. (Unpublished)

Download (1544Kb) | Preview


Residential building has high consumption of energy especially electrical energy. This motivates researchers to work on how to improve residential building energy efficiency. However, the improvement of energy efficiency in a building is difficult to be done for the whole building at a time. Some of the difficulty is the inefficient of energy management system in the building, but the biggest contribution to the deficiency is that there is no optimal algorithm which is suitable to the facilities in the building. An intelligent energy management system has been proposed in this paper to address this problem which include the integrated optimal control system consists of an occupancy sensor network and adaptive dynamic programming algorithm. To increase accuracy and avoid faults in available sensor technology, multiple sensors are being used in this project including passive infra-red sensors, Ultrasonic sensors and Carbon Dioxide concentration sensors have been installed to set up a hybrid occupancy detection sensor network. It is very critical to control and optimization for complex systems such as the system constituted by all electromechanical systems in a building. It learns from environment of a building and generates a series of optimal control strategies to preserve human comfort and improve energy efficiency in low cost.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 18 Nov 2015 08:44
Last Modified: 25 Jan 2017 09:38
URI: http://utpedia.utp.edu.my/id/eprint/16002

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...