Proof of Concept utveckling av dataanalyseringsverktyg – för teknologievaluering av smarta hem lösningar
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Typ
Examensarbete på grundnivå
Program
Datateknik 180 hp (högskoleingenjör)
Publicerad
2023
Författare
Phu, Marcus
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Due to the issues of rising electricity costs in Sweden and households having trouble
paying their electrical bills this project aims to develop a tool that enables the
household to evaluate what the effect of using a smart home solution have on their
electrical expenses. The project was conducted in collaboration with Njord Engineering,
a consulting firm, and their client, an energy company. To evaluate the impact
of smart home solutions on electricity costs, a Proof-of-Concept data analysis tool
was developed.
The tool, a web application designed for PC, enables users to compare their electricity
costs under different pricing models, including fixed-rate, variable-rate, and smart
home-assisted pricing. By analyzing real-time data obtained from an electricity exchange,
the tool provides insights into the financial implications of adopting smart
home technologies.
A survey was conducted during the project to gather society’s opinions on smart
home products and their control preferences. This data was used to develop an algorithm
for simulating smart home solution usage. Additionally, an analysis was
performed on the simulations to assess the tool’s potential in helping households
determine the impact of smart home solutions on electricity costs. The analysis involved
comparing electricity costs under different rates with the costs associated
with using a smart home solution.
The results of the project include a functional data analysis tool and simulation
algorithm for smart home solution usage. The analysis of simulations conducted by
the tool is also presented.
The project’s conclusion is that the developed tool successfully achieved its goals,
demonstrating its potential to help users evaluate the impact of smart home solutions
on their electricity costs. Although the analysis results are not realistic due to
the dataset limitations, they highlight the tool’s potential to prove the concept of
reducing household electrical costs with smart home solutions.
Beskrivning
Ämne/nyckelord
Webbapplikation , React.js , TypeScript , Smart home , Electric prices , Agile