Komfortable og Energioptimerede Boliger: Et casestudy i Smart Homes fra LK IHC

Abstract

For over 30 år siden præsenterede telegiganten AT&T deres ide om det intelligente hjem (Farbøl, 2007). Hermed introducerede de også et begreb der med tiden er blevet udviklet til det, vi i dag kender som Intelligente Bygnings installationer, et begreb vi nu oplever i mange forskellige udformninger. Disse intelligente bygningsinstallationer er skabt til at løse nogle af de opgaver, der ellers skal udføres manuelt, og tankerne bag det intelligente eller smarte hjem, har gennem tiden udviklet sig og skiftet form, siden AT&T kom med deres bud på begrebet. I takt med udviklingen er vi blevet langt mere bevidste om at værne om jordens resurser, hvilket også har medført ændrede krav og holdninger til energiforbruget i vores boliger. Nye teknologier skal bidrage til energioptimering af boligen og skabe et mere energi og Co2 venligt forbrug, men der ses her en lidt skæv udvikling der kan tilskrives at den strøm vi formår at spare gennem ny teknologi, spare- pærer og energimærkede hvidevarer udlignes gennem det forbrug der skabes ved de mange nye strømsugende apparater (Gram-Hanssen, Larsen & Christensen, 2009). Et af de produkter der hævder at kunne stille med en løsning på dette problem er LK IHC, som med deres intelligente styresystemer kan tilbyde energibesparende løsninger til boligens elforbrug. Spørgsmålet er blot hvorvidt LK IHC også formår at imødekomme boligbrugernes behov, og hvor vidt deres styresystem er smart nok til at kunne kompensere for, og tage højde for brugerens adfærd. Dette speciale anvender LK IHC som case grundlag, men tager samtidig også udgangspunkt i professor Kirsten Gram-Hanssen’s omfattende studier i brugeradfærd, som bl.a. antyder at effektiv teknologi påvirker vores adfærd i den forkerte retning. Modsætningsvis mener producenter af Smart Home teknologien, herunder LK IHC, at deres produkter ud over at skabe komfort i hjemmet samtidig vil kunne energioptimere boligens energiforbrug, samt aflaste brugeren i mange af hjemmets opgaver.

2. Abstract Smart home technologies help create comfort and energy efficiency in our homes, and create a more energy - and Co2 friendly consumption, but we also see a slightly uneven development attributable to the fact that the power we manage to save through new technology, low energy light bulbs and energy-labeled appliances is equalized by the consumption created by the many new power-sucking appliances. One of the products that claim to be able to offer a solution to this problem is LK IHC, whose intelligent control systems can offer energy saving solutions for the house's electricity consumption. The question is whether LK IHC is also capable of meeting the housing needs of the users, and whether their operating system is smart enough to compensate for, and cater to the user's behavior. This thesis uses LK IHC as case foundation, though it is also based on professor Kirsten Gram-Hanssen's extensive studies of user behavior, which among other things suggests that effective technology affects our behavior in the wrong direction. By looking at how the Smart Home solutions such as LK IHC contributes to the creation of comfort and energy efficiency in our homes, and on meeting the needs of users, it aims to address an issue which particularly relate to how IHC meet users' behavior and who is using a IHC. The thesis seeks to answer his problem by looking at both the technical and social factors, and the theoretical approach to this thesis is ANT, Actor network theory as developed by Bruno Latour, and the Translations process of Michael Callon. The thesis concludes that Smart Home solutions like those offered by LK IHC, fails to meet the general standard house users with their solutions. Those users who choose an IHC facility appears as a narrow group of men with a particular interest in technology. It's hard to get the traditional standard house customer to choose Smart Home installations or interieur over other installations, and furthermore the thesis concludes that IHC as an energy optimizing system is rather based on what is technically possible than the user's behavioral challenges.

A master thesis from Aalborg University

Komfortable og Energioptimerede Boliger: Et casestudy i Smart Homes fra LK IHC

[Comfortable and Energy Optimized Housing: A case study in Smart Homes from LK IHC]