Pregled bibliografske jedinice broj: 718092
Smart Home Automation System for Energy Efficient Housing
Smart Home Automation System for Energy Efficient Housing // Proceedings of the 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2014)
Opatija, 2014. str. 166-171 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 718092 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Smart Home Automation System for Energy Efficient Housing
Autori
Skeledžija, Nikša ; Ćesić, Josip ; Kočo, Edin ; Bachler, Vladimir ; Vučemilo, Hrvoje Nikola ; Džapo, Hrvoje
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2014)
/ - Opatija, 2014, 166-171
Skup
International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Mjesto i datum
Opatija, Hrvatska, 26.05.2014. - 30.05.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
HVAC; littlePLC; Model Predictive Control; Wireless Sensor Network
Sažetak
This paper presents a concept and implementation of modern smart monitoring and control system for building automatization. The system is designed to enable significant reduction of energy consumption and carbon footprint by increasing the energy efficiency of the building under control. The system consists of a Linux-based remotely accessible main embedded control unit, a custom designed programmable logic controller named littlePLC, and a propriatery low-power Wireless Sensor Network (WSN). The energy flow is optimized by using a Model Predictive Control (MPC) algorithm that runs on the main control unit. The main control unit communicates with littlePLC, which serves as an interface that controls the parameters and state of HVAC systems in the building. The feedback information for MPC is gathered by means of the WSN, which consists of various sensor node types, such as temperature, air pressure, humidity, VOC and CO2 . The WSN nodes are connected in a star type network topology, with a communication HUB connected to the main control unit. The information gathered by WSN are used in the MPC algorithm in order to calculate and estimate the requirements for heat corrections, with respect to ventilation and weather predictions.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
