This report was performed in order to evaluate a new technological measure and focuses generally on a heat pump system to a HWC-washing machine. The client is Asko Appliances AB, a company well known for its environmentally friendly products. The goal of this study was to improve the energy efficiency of a washing machine by combining a heat pump device to the heater of the wash water, in order to reduce the energy consumed for heating the water. Besides reducing the energy consumption in heating the water, the washing machine was required to meet low noise and short operating time specifications. For that purpose, nine trials in three test series have been carried out. In each of those trials, airflow has been combined with the refrigerant flow and the energy consumption measured. The comparison of the results shows that the energy efficiency is the highest when the flow rates of both the air and the refrigerant are low. Further, the energy consumption in terms of electricity used in heating the water has been lowered by 71% in comparison to a refernce washing machine using no heat pump device. The paper also discusses possible improvement actions related to this technological mesure. This technological measure can be applied on HWC-washing machines and can replace conventional electrically heated washing machines.

Den här rapporten handlar om en ändring i livsmedelsföretaget Freezing Food Småland Öland AB:s avfrostningsrutin för deras förångare i frysrummet. Ändringen gick ut på att avfrostningstiden och maxtemperaturen sänktes samt att tiden mellan avfrostningarna nu sker varannan i stället för varje natt. Syftet var att undersöka om ändringen av rutinen hade bidragit till en minskad energiförbrukning i förhållande till innan ändringen gjordes genom att också granska andra faktorer än själva avfrostningen som kunde tänkas påverka energiförbrukningen. Metoden gick ut på att insamla och analysera stora datamängder tillhandahållna av företaget för att sedan reducera dem till hanterbara siffror. Även data för lokala utomhustemperaturer samlades in. Med hjälp av detta beräknades medelvärden för en given tidsperiod för energiförbrukning, lagerhållning och utomhustemperatur. Resultatet visade en sänkning av energiförbrukningen, hur stor andel som berodde på avfrostningens ändrade rutiner lämnade undersökningen obesvarat. Utomhustemperaturen bör ha minskat effektbehovet, samtidigt bör lagerhållningen ökat den. Slutsatsen blev att mer tid behövde passera och en ny undersökning behöver framställas efter att avfrostningsrutinen ändrades för att möjliggöra en säkrare bedömning. / This report is about a change in the food company Freezing Food Småland Öland AB’s defrosting routine for their evaporators in the freezer warehouse. The change was that the defrosting time and maximum temperature were reduced and that the time between defrostings now takes place every other night instead of every night. The aim was to examine whether the change in the routine had contributed to a reduction in energy consumption compared to before the change was made by also examining factors other than defrosting itself that might affect energy consumption. The method was to collect and analyze large amounts of data provided by the company and then reduce them to manageable figures. Data for local outdoor temperatures were also collected. This calculated averages for a given time period for energy consumption, warehousing and outdoor temperature. The results showed a decrease in energy consumption, the proportion due to the change in defrosting procedures left the investigation unanswered. The outdoor temperature should have reduced the power requirement, at the same time the storage should have increased it. It was concluded that more time needed to pass,and a new study needed to be produced after the defrosting routine was changed to allow for a safer assessment.

Modeling of heat transfer using Dymola. In this report a evaporator, economizer and superheater where modeled. The report describes how the models where modeled and what input was most suitable for a accurate model.