An Algorithm for Smarter Heating
(2019) EITL05 20191Department of Electrical and Information Technology
- Abstract
- This report aims to examine the use and development of a more intelligent heating process in a house. By controlling switches integrated into a fuse, the techniques that can be used to allow an algorithm to predict how long the heating process would take are evaluated. Currently users have to, themselves, estimate how long the heating process will take. The algorithm developed aims to alleviate this problem and to allow the heating to be turned off as long as possible. With this kind of automation, the total efficiency of the heating process aims to be increased.
Using linear regression, an algorithm was developed based on ON/OFF regulation. The developed algorithm attempts to estimate how fast a house can be heated. The system was then... (More) - This report aims to examine the use and development of a more intelligent heating process in a house. By controlling switches integrated into a fuse, the techniques that can be used to allow an algorithm to predict how long the heating process would take are evaluated. Currently users have to, themselves, estimate how long the heating process will take. The algorithm developed aims to alleviate this problem and to allow the heating to be turned off as long as possible. With this kind of automation, the total efficiency of the heating process aims to be increased.
Using linear regression, an algorithm was developed based on ON/OFF regulation. The developed algorithm attempts to estimate how fast a house can be heated. The system was then tested in a simple test facility in order to determine its functionality. Several mathematical functions for handling the required matrices for a least squares analysis in conjunction with other operations were implemented.
It was found that the algorithm performs acceptably when the heating system is well set up. However, it is slow to adjust its prediction when the thermal properties of the house change. Nevertheless, it was discovered that the tests used in this project were biased. This was due to the fact that the testing facility used had no isolation and the radiator was too weak to heat the facility adequately. (Less) - Abstract (Swedish)
- Examensarbetet ämnar att utvärdera användning samt utveckling av en "intelligent uppvärmning" för ett hus. Genom att kontrollera strömbrytare, kopplade till en säkring, kan olika tekniker som kan användas för en självlärande algoritm utvärderas. För tillfället måste användarna själva försöka förutsäga hur lång tid en uppvärmning kommer att ta. Den utvecklade algoritmen ska hjälpa användarna att förutsäga detta och se till så att värmen endast är igång när den faktiskt behöver vara det. Genom att automatisera processen är det tänkt att energieffektiviteten ska öka.
Med hjälp av linjär regression har en algoritm, baserad på till/från reglering, utvecklats. Den utvecklade algoritmen försöker uppskatta hur snabbt ett hus kan värmas upp.... (More) - Examensarbetet ämnar att utvärdera användning samt utveckling av en "intelligent uppvärmning" för ett hus. Genom att kontrollera strömbrytare, kopplade till en säkring, kan olika tekniker som kan användas för en självlärande algoritm utvärderas. För tillfället måste användarna själva försöka förutsäga hur lång tid en uppvärmning kommer att ta. Den utvecklade algoritmen ska hjälpa användarna att förutsäga detta och se till så att värmen endast är igång när den faktiskt behöver vara det. Genom att automatisera processen är det tänkt att energieffektiviteten ska öka.
Med hjälp av linjär regression har en algoritm, baserad på till/från reglering, utvecklats. Den utvecklade algoritmen försöker uppskatta hur snabbt ett hus kan värmas upp. Systemet testades i en enkel testomgivning för att upskatta dess funktionalitet. Det implementerades ett flertal matematiska funktioner, vilka bland annat inkluderar metoder för hantering av matriser samt minsta kvadrat-skattning.
Det visade sig att algoritmen presterade acceptabla resultat när värmesystemet är installerat på ett bra sätt. Det gick dock långsamt för algoritmen att justera in sig då värmespecifika detaljer i ett hus ändrades. Det visade sig även att testen som genomfördes under examensarbetet var mindre bra. Detta berodde på att testutrymmet saknade isolering samt att elementet inte klarade av att värma upp utrymmet tillräckligt. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8985374
- author
- Sundell, Marcus LU and Abeln, Marlon LU
- supervisor
-
- Mats Lilja LU
- organization
- alternative title
- En Algoritm för Smartare Husuppvärmning
- course
- EITL05 20191
- year
- 2019
- type
- M2 - Bachelor Degree
- subject
- keywords
- Heating, Automation, API, Least Squares, Linear Regression
- report number
- LU/LTH-EIT 2019-705
- language
- English
- id
- 8985374
- date added to LUP
- 2019-06-20 09:59:36
- date last changed
- 2019-06-20 09:59:36
@misc{8985374,
abstract = {{This report aims to examine the use and development of a more intelligent heating process in a house. By controlling switches integrated into a fuse, the techniques that can be used to allow an algorithm to predict how long the heating process would take are evaluated. Currently users have to, themselves, estimate how long the heating process will take. The algorithm developed aims to alleviate this problem and to allow the heating to be turned off as long as possible. With this kind of automation, the total efficiency of the heating process aims to be increased.
Using linear regression, an algorithm was developed based on ON/OFF regulation. The developed algorithm attempts to estimate how fast a house can be heated. The system was then tested in a simple test facility in order to determine its functionality. Several mathematical functions for handling the required matrices for a least squares analysis in conjunction with other operations were implemented.
It was found that the algorithm performs acceptably when the heating system is well set up. However, it is slow to adjust its prediction when the thermal properties of the house change. Nevertheless, it was discovered that the tests used in this project were biased. This was due to the fact that the testing facility used had no isolation and the radiator was too weak to heat the facility adequately.}},
author = {{Sundell, Marcus and Abeln, Marlon}},
language = {{eng}},
note = {{Student Paper}},
title = {{An Algorithm for Smarter Heating}},
year = {{2019}},
}