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From a Dumb Boiler to a Smart One Using a Smart Socket
Grünwald, Adam ; Kapinus, Michal (referee) ; Materna, Zdeněk (advisor)
The goal of this thesis is to extend a smart home by a smart boiler created from a dumb one with help of a smart plug and two temperature sensors for measuring values in a boiler. This smart boiler will be able to adapt to the household's schedule of using hot water using a learning algorithm, which uses historical data of hot water consumption measured on the boiler. Heating to higher temperature is happening before expected consumption or on request, which is represented as a special event in Google Calendar. The boiler can be either turned off with help of Google Calendar, which can be used when the whole family goes on holiday and it isn't needed to heat the water in the boiler. Programs for collecting and evaluating data, managing the heating of boiler, the database, and service showing statistics, run on a laptop in a local network. The main benefit of the thesis is creating a device, which can adapt boiler to smart home and reduce electricity costs on hot water heating by more than 30 %, which on 80 l boiler represents savings of more than 130 Euro per year.
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From a Dumb Boiler to a Smart One Using a Smart Socket
Grünwald, Adam ; Kapinus, Michal (referee) ; Materna, Zdeněk (advisor)
The goal of this thesis is to extend a smart home by a smart boiler created from a dumb one with help of a smart plug and two temperature sensors for measuring values in a boiler. This smart boiler will be able to adapt to the household's schedule of using hot water using a learning algorithm, which uses historical data of hot water consumption measured on the boiler. Heating to higher temperature is happening before expected consumption or on request, which is represented as a special event in Google Calendar. The boiler can be either turned off with help of Google Calendar, which can be used when the whole family goes on holiday and it isn't needed to heat the water in the boiler. Programs for collecting and evaluating data, managing the heating of boiler, the database, and service showing statistics, run on a laptop in a local network. The main benefit of the thesis is creating a device, which can adapt boiler to smart home and reduce electricity costs on hot water heating by more than 30 %, which on 80 l boiler represents savings of more than 130 Euro per year.
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