Att arbeta med nyckeltal - Fjärrvärme

Detta är en M1-uppsats från Umeå universitet/Institutionen för tillämpad fysik och elektronik

Författare: William Nyman; [2016]

Nyckelord: Fjärrvärme; Nyckeltal; Statistik;

Sammanfattning: The birth of district heating was during the late 1800s in the United States and Germany. The "real" start of the first municipal district heating plant in Sweden was on October 29 1948 in Karlstad. After the start in Karlstad everything moved really slowly until the mid-60s when the use of district heating doubled from five TWh/year to ten TWh/year. Despite the doubling during the 60:s came the real "explosion" of district heating after the oil crisis in 1973. In 1998 decided Municipality of Arvidsjaur that they had to do something about the current environment in the city. This was caused because most of the villas and industrial houses in the municipality had its own wood-fired or oil-fired heating systems. Six years later in 2004 started a company called Arvidsjaurs Energi AB, and the purpose for this company was to provide the city of Arvidsjaur with hot water and heat to the houses. Today’s supply for Arvidsjaurs Energi is 337 smaller houses and 109 bigger customers such as industrial houses. With three pellet boilers and a oilheater (as reserve) they provide heat during the peakload and the period when the main 8,4 MW woodchip hot water boiler is stopped due maintenance. A lot of money has been invested in the district heating, which has been proved to be a successful investment for the municipal. With district heating it follows many work opportunities, and one of that is working with statistics and key figures and that is what this project will be working with. The appearance of this work came when the workers at Arvidsjaurs Energi had noticed that the work with statistics and key figures where a lot time consuming. The result of this work will be a Excel sheet that will free some time for the workers. It will contain everything from line losses, used fuel, produced energy and sold energy.   The resulting Excel sheet contained all the various parameters mentioned above, but it was also much less than was thought in the beginning. The resulting product of this work is currently used by workers at Arvidsjaurs Energi AB and has proved to ease the work around statistics, which also was one of the goals with this work.

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