Napredna regulacija ogrevanja z upoštevanjem vremenske napovedi

KOŠENINA, BLAŽ (author), Mušič, Gašper (mentor)

Namen diplomske naloge je optimizirati regulacijo ogrevanja poslovnih prostorov v podjetju GO-RO LIV d.o.o. Vedno bolj se uveljavlja prediktivno vodenje, to pa sem poskušal v poenostavljeni obliki izvesti tudi sam za omenjeni sistem. Poslovni prostori se ogrevajo prek talnega ogrevanja. Voda za talno ogrevanje se lahko ogreva s toplotno črpalko, lahko pa jo dobimo iz proizvodnje. Temperatura vode močno naraste, kadar se z njo hladijo livarski stroji. Pred tem je talno ogrevanje toplo vodo pridobivalo le z vklopom toplotne črpalke. Temperatura poslovnih prostorov pa je bila regulirana z regulacijo toplotne črpalke in njene nastavljene ogrevalne krivulje. Menim, da bi zaradi alternativnega vira tople vode ob pravilno nastavljeni regulaciji lahko prišli do velikih prihrankov. Prostori bi se namreč ogrevali s toplo vodo iz proizvodnje, ko bi bilo to mogoče. Poenostavljeno prediktivno vodenje sem opravil v programskem okolju TwinCAT 3, saj ga dobro poznam. TwinCAT 3 omogoča tudi integracijo modela v Simulinku in dodatek za uporabo komunikacijskega protokola TCP/IP, kar mi je pri zadani nalogi prišlo zelo prav.

• Language: Slovenian
• Keywords: energetski prihranki, toplotni model poslovnih prostorov, prediktivno vodenje, simulacije
• Work type: Bachelor thesis/paper
• Organization: FE - Faculty of Electrical Engineering
• Year: 2018
• PID: 20.500.12556/RUL-101934
• Publication date in RUL: 13.07.2018

KOŠENINA, BLAŽ, 2018, Napredna regulacija ogrevanja z upoštevanjem vremenske napovedi [online]. Bachelor’s thesis. [Accessed 26 April 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=101934

Secondary language

• Language: English
• Title: Advanced heating control based on weather forecast

Abstract

The purpose of this thesis it to optimize the heat control system in the offices of the company GO-RO LIV d.o.o. Since popularity of predictive control is increasing, I will use a simple predictive control for this system. Offices are heated through underfloor heating. Underfloor water is heated by the heat pump, although heat can also be obtained from the factory, via cooling of foundry machines. Before my thesis the underfloor heating was getting hot water only from a heat pump. The temperature of the offices was adjusted with the heat pump heat curve. Due to the alternative source of heated water, a substantial energy saving can be achieved. Offices will be heated with factory-derived water whenever it will be possible. I have designed the control system in TwinCAT 3, because I know it well. Simulink models can be integrated in TwinCAT 3, and the programming environment also includes an add-on for TCP/IP protocol, which was also useful for completing the given task.

• Keywords: energy savings, thermal model of offices, predictive control, simulation