A comparison of waste heat recovery from LuxTurrim 5G poles (in the Finnish energy system)
Loading...
URL
Journal Title
Journal ISSN
Volume Title
Insinööritieteiden korkeakoulu |
Master's thesis
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Authors
Date
Department
Major/Subject
Mcode
ENG3069
Degree programme
Language
en
Pages
59+6
Series
Abstract
The aim of this project is to economically and energetically compare different power generation systems that use renewable sources as fuel to increase the temperature of a water line. This line is used to cool the LuxTurrim 5G Poles, which will be implanted in the Kera Area and in the Nokia Campus, in order to use the heat acquired by its electronic components, for the Low Temperature District Heating Network of this area. The extra heat provided to the water line after the poles, comes from a heatgeneration system thatuses renewable sources as fuel,therefore, somescenarios are proposed using different renewable sources and technologies to increase the temperature levels of the waterlineto thelevels of the network. Some of theproposedsystemsaremathematically modelledinMatlab and others taken from other studies, to determine the energy production per year and also, an economic analysis of each system is madeto determine the costs of production, maintenance and start-up. Finally,the Levelized Cost of Energy of each systemis calculated, in order to compare them both energetically and economically. The objective is to find out which system is the most suitable to implement in combination with the poles and to cover part of the heat demand of the district heating network, studying the energy and cost of production of eight scenarios using different combinations of technologies and fuels. It should be noted that the scope of this project does not cover the modelling of all systems, therefore some data has been taken from previous studies.Description
Supervisor
Lahdelma, RistoThesis advisor
Laukkanen, TimoKhosravi, Ali