Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources

The paper presents a modelling framework that may be used to plan the integration of large-scale HPs in district heating (DH) areas. By use of the methodology both optimal HP capacities to be installed and optimal choice of heat source to be used during the year are identified by minimizing total co...

Full description

Bibliographic Details
Main Authors: Henrik Pieper, Vladislav Mašatin, Anna Volkova, Torben Ommen, Brian Elmegaard, Wiebke Brix Markussen
Format: Article
Language:English
Published: Aalborg University Press 2019-03-01
Series:International Journal of Sustainable Energy Planning and Management
Online Access:https://journals.aau.dk/index.php/sepm/article/view/2737
id doaj-c3dac22d28ef4e64afb0c626c69f53c5
record_format Article
spelling doaj-c3dac22d28ef4e64afb0c626c69f53c52021-03-18T11:54:29ZengAalborg University PressInternational Journal of Sustainable Energy Planning and Management2246-29292246-29292019-03-012010.5278/ijsepm.2019.20.62247Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sourcesHenrik Pieper0Vladislav MašatinAnna VolkovaTorben OmmenBrian ElmegaardWiebke Brix MarkussenTechnical University of DenmarkThe paper presents a modelling framework that may be used to plan the integration of large-scale HPs in district heating (DH) areas. By use of the methodology both optimal HP capacities to be installed and optimal choice of heat source to be used during the year are identified by minimizing total cost of ownership including investment and operational costs. The modelling framework uses mixed-integer linear programming and hourly calculations over one year. Seasonal variations of the heat source temperatures, capacity limitations and HP coefficient of performance as well as technical constraints were taken into account. The DH network of Tallinn, Estonia, was used as a case study. Six different heat source types were identified for 13 potential locations of large-scale HPs. The results showed that the integration of large-scale HPs in the DH network of Tallinn is economically feasible. It was found that 122 MW HP capacity could be installed without compromising the operation of sustainable base load units. The heat sources needed for obtaining this solution were sewage water, river water, ambient air, seawater and groundwater. It was further shown that the Lorenz efficiency depends on the variations of heat source temperatures.https://journals.aau.dk/index.php/sepm/article/view/2737
collection DOAJ
language English
format Article
sources DOAJ
author Henrik Pieper
Vladislav Mašatin
Anna Volkova
Torben Ommen
Brian Elmegaard
Wiebke Brix Markussen
spellingShingle Henrik Pieper
Vladislav Mašatin
Anna Volkova
Torben Ommen
Brian Elmegaard
Wiebke Brix Markussen
Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources
International Journal of Sustainable Energy Planning and Management
author_facet Henrik Pieper
Vladislav Mašatin
Anna Volkova
Torben Ommen
Brian Elmegaard
Wiebke Brix Markussen
author_sort Henrik Pieper
title Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources
title_short Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources
title_full Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources
title_fullStr Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources
title_full_unstemmed Modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources
title_sort modelling framework for integration of large-scale heat pumps in district heating using low-temperature heat sources
publisher Aalborg University Press
series International Journal of Sustainable Energy Planning and Management
issn 2246-2929
2246-2929
publishDate 2019-03-01
description The paper presents a modelling framework that may be used to plan the integration of large-scale HPs in district heating (DH) areas. By use of the methodology both optimal HP capacities to be installed and optimal choice of heat source to be used during the year are identified by minimizing total cost of ownership including investment and operational costs. The modelling framework uses mixed-integer linear programming and hourly calculations over one year. Seasonal variations of the heat source temperatures, capacity limitations and HP coefficient of performance as well as technical constraints were taken into account. The DH network of Tallinn, Estonia, was used as a case study. Six different heat source types were identified for 13 potential locations of large-scale HPs. The results showed that the integration of large-scale HPs in the DH network of Tallinn is economically feasible. It was found that 122 MW HP capacity could be installed without compromising the operation of sustainable base load units. The heat sources needed for obtaining this solution were sewage water, river water, ambient air, seawater and groundwater. It was further shown that the Lorenz efficiency depends on the variations of heat source temperatures.
url https://journals.aau.dk/index.php/sepm/article/view/2737
work_keys_str_mv AT henrikpieper modellingframeworkforintegrationoflargescaleheatpumpsindistrictheatingusinglowtemperatureheatsources
AT vladislavmasatin modellingframeworkforintegrationoflargescaleheatpumpsindistrictheatingusinglowtemperatureheatsources
AT annavolkova modellingframeworkforintegrationoflargescaleheatpumpsindistrictheatingusinglowtemperatureheatsources
AT torbenommen modellingframeworkforintegrationoflargescaleheatpumpsindistrictheatingusinglowtemperatureheatsources
AT brianelmegaard modellingframeworkforintegrationoflargescaleheatpumpsindistrictheatingusinglowtemperatureheatsources
AT wiebkebrixmarkussen modellingframeworkforintegrationoflargescaleheatpumpsindistrictheatingusinglowtemperatureheatsources
_version_ 1714779957324939264