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LUND UNIVERSITY LIBRARIES

Termisk besiktning av kundanläggningar i fjärrvärmesystem

Wiktorsson, Sofia LU (2018) MVKM01 20181
Department of Energy Sciences
Abstract
District heating systems need to be made more ecient. Lower system temperatures
are desirable for the eciency of the entire system, but it also decreases the
temperature-margins that can compensate for faults in the system. Therefor it is
crucial to decrease these errors. The majority of the improvement potential is on
the customer's side of the system; in the substation or in the building's internal heating
system. This area needs attention to increase the eciency in district heating
systems.
The aim of this project is to produce a theoretical model of a district heating
substation and examine if said model can discover and identify faults in an actual
substation. This will be accomplished by comparing modeled and real return... (More)
District heating systems need to be made more ecient. Lower system temperatures
are desirable for the eciency of the entire system, but it also decreases the
temperature-margins that can compensate for faults in the system. Therefor it is
crucial to decrease these errors. The majority of the improvement potential is on
the customer's side of the system; in the substation or in the building's internal heating
system. This area needs attention to increase the eciency in district heating
systems.
The aim of this project is to produce a theoretical model of a district heating
substation and examine if said model can discover and identify faults in an actual
substation. This will be accomplished by comparing modeled and real return temperatures.
The studied substations are newly installed and the thermal inspection
is supposed to tell the customers if their instruments are well suited for their task
and if they are well functioning, before the warranty expires. The model is mostly
based on theoretical and dimensioned data, instead of historical data. This means
that the model can tell how the substation theoretically can perform, instead of how
it has perform previously, which might already include faults.
The model can discover abnormal return temperatures, but it can not identify
the cause on its own and a manual analysis of the output is therefor needed to decide
possible causes. To be able to isolate and identify the fault with higher precision,
more data measured in the actual substation is needed. It would be helpful to rst
use another automatized model to do a rough sorting of which substations should
then be further investigated by the model produced in this study. (Less)
Please use this url to cite or link to this publication:
author
Wiktorsson, Sofia LU
supervisor
organization
course
MVKM01 20181
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Fjärrvärmecentral, termisk besiktning, VVC, radiator, tappvarmvatten, kundanläggning, systemtemperatur, returtemperatur
report number
LUTMDN/TMHP-18/5419-SE
ISSN
0282-1990
language
Swedish
id
8952494
date added to LUP
2018-06-25 10:55:15
date last changed
2018-06-25 10:55:15
@misc{8952494,
  abstract     = {{District heating systems need to be made more ecient. Lower system temperatures
are desirable for the eciency of the entire system, but it also decreases the
temperature-margins that can compensate for faults in the system. Therefor it is
crucial to decrease these errors. The majority of the improvement potential is on
the customer's side of the system; in the substation or in the building's internal heating
system. This area needs attention to increase the eciency in district heating
systems.
The aim of this project is to produce a theoretical model of a district heating
substation and examine if said model can discover and identify faults in an actual
substation. This will be accomplished by comparing modeled and real return temperatures.
The studied substations are newly installed and the thermal inspection
is supposed to tell the customers if their instruments are well suited for their task
and if they are well functioning, before the warranty expires. The model is mostly
based on theoretical and dimensioned data, instead of historical data. This means
that the model can tell how the substation theoretically can perform, instead of how
it has perform previously, which might already include faults.
The model can discover abnormal return temperatures, but it can not identify
the cause on its own and a manual analysis of the output is therefor needed to decide
possible causes. To be able to isolate and identify the fault with higher precision,
more data measured in the actual substation is needed. It would be helpful to rst
use another automatized model to do a rough sorting of which substations should
then be further investigated by the model produced in this study.}},
  author       = {{Wiktorsson, Sofia}},
  issn         = {{0282-1990}},
  language     = {{swe}},
  note         = {{Student Paper}},
  title        = {{Termisk besiktning av kundanläggningar i fjärrvärmesystem}},
  year         = {{2018}},
}