Termisk besiktning av kundanläggningar i fjärrvärmesystem
(2018) MVKM01 20181Department 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:
http://lup.lub.lu.se/student-papers/record/8952494
- author
- Wiktorsson, Sofia LU
- supervisor
- organization
- course
- MVKM01 20181
- year
- 2018
- 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}}, }