Optimal thermal and electric storage capacities for a district cooling system

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Abstract

The INDIGO project set out to develop and improve the planning, design and operation of district cooling (DC) systems. An open-source planning tool was developed to support the planning phase by enabling an optimisation based assessment of an arbitrary DC system configured by the user. The analysis also included a comparison between a DC system and a case consisting of building-specific cooling system in order to demonstrate the potential benefit of DC.
The tool itself consists of three parts; the calculation and data management algorithms, the graphical user interface (GUI) and the input data. The user has complete control over all the parameters used in the analysis. Input data such as the technical properties and costs of the most common technologies has been predefined to speed up the analysis process and improve the user experience.
At the heart of the DC planning tool lies the ability to generate an arbitrary energy system linear programming (LP) model based on simple user input. This powerful functionality is the focus of this paper. It is demonstrated how the calculation and data management algorithms could be utilised as a stand-alone tool for specific, separate studies. This forms the first part of the contribution of the paper.
The functionality is demonstrated by an investigation of optimal capacities different types of energy storages included in a defined, example DC system. Storages for heat, DC and electricity are included in the analysis. In addition to the energy storages, the studied system consists of a combined heat and power (CHP) unit, photovoltaic solar panels (PVs), compression and absorption chillers. The optimal storage capacities depend on the cooling load, the selected production and energy supply options as well as on the availability and the costs of the resources used. Cooling load is evaluated based on solar irradiation and outdoor temperature in Barcelona, Spain. Historical price data for electricity prices in Spain is used in the analysis.
Original languageEnglish
Title of host publicationDigital Proceedings 14th SDEWES Conference, the Conference on Sustainable Development of Energy, Water and Environment Systems
Number of pages10
Publication statusPublished - 1 Oct 2019
MoE publication typeA4 Article in a conference publication
Event14th Conference on Sustainable Development of Energy, Water and Environment Systems - Dubrovnik, Croatia
Duration: 1 Oct 20196 Oct 2019
Conference number: 14
https://www.dubrovnik2019.sdewes.org/

Publication series

SeriesSDEWES Proceedings
Volume14
ISSN1847-7178

Conference

Conference14th Conference on Sustainable Development of Energy, Water and Environment Systems
Abbreviated titleSDEWES
CountryCroatia
CityDubrovnik
Period1/10/196/10/19
Internet address

Fingerprint

Cooling systems
Cooling
Planning
Information management
Energy storage
Electricity
Graphical user interfaces
Linear programming
Costs
Hot Temperature
Availability
Irradiation
Temperature

Keywords

  • district cooling
  • energy system
  • energy storage

Cite this

Rämä, M., Pursiheimo, E., & Klobut, K. (2019). Optimal thermal and electric storage capacities for a district cooling system. In Digital Proceedings 14th SDEWES Conference, the Conference on Sustainable Development of Energy, Water and Environment Systems [1062] SDEWES Proceedings, Vol.. 14
Rämä, Miika ; Pursiheimo, Esa ; Klobut, Krzysztof. / Optimal thermal and electric storage capacities for a district cooling system. Digital Proceedings 14th SDEWES Conference, the Conference on Sustainable Development of Energy, Water and Environment Systems. 2019. (SDEWES Proceedings, Vol. 14).
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Rämä, M, Pursiheimo, E & Klobut, K 2019, Optimal thermal and electric storage capacities for a district cooling system. in Digital Proceedings 14th SDEWES Conference, the Conference on Sustainable Development of Energy, Water and Environment Systems., 1062, SDEWES Proceedings, vol. 14, 14th Conference on Sustainable Development of Energy, Water and Environment Systems, Dubrovnik, Croatia, 1/10/19.

Optimal thermal and electric storage capacities for a district cooling system. / Rämä, Miika; Pursiheimo, Esa; Klobut, Krzysztof.

Digital Proceedings 14th SDEWES Conference, the Conference on Sustainable Development of Energy, Water and Environment Systems. 2019. 1062 (SDEWES Proceedings, Vol. 14).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - The INDIGO project set out to develop and improve the planning, design and operation of district cooling (DC) systems. An open-source planning tool was developed to support the planning phase by enabling an optimisation based assessment of an arbitrary DC system configured by the user. The analysis also included a comparison between a DC system and a case consisting of building-specific cooling system in order to demonstrate the potential benefit of DC.The tool itself consists of three parts; the calculation and data management algorithms, the graphical user interface (GUI) and the input data. The user has complete control over all the parameters used in the analysis. Input data such as the technical properties and costs of the most common technologies has been predefined to speed up the analysis process and improve the user experience.At the heart of the DC planning tool lies the ability to generate an arbitrary energy system linear programming (LP) model based on simple user input. This powerful functionality is the focus of this paper. It is demonstrated how the calculation and data management algorithms could be utilised as a stand-alone tool for specific, separate studies. This forms the first part of the contribution of the paper.The functionality is demonstrated by an investigation of optimal capacities different types of energy storages included in a defined, example DC system. Storages for heat, DC and electricity are included in the analysis. In addition to the energy storages, the studied system consists of a combined heat and power (CHP) unit, photovoltaic solar panels (PVs), compression and absorption chillers. The optimal storage capacities depend on the cooling load, the selected production and energy supply options as well as on the availability and the costs of the resources used. Cooling load is evaluated based on solar irradiation and outdoor temperature in Barcelona, Spain. Historical price data for electricity prices in Spain is used in the analysis.

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KW - energy storage

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Rämä M, Pursiheimo E, Klobut K. Optimal thermal and electric storage capacities for a district cooling system. In Digital Proceedings 14th SDEWES Conference, the Conference on Sustainable Development of Energy, Water and Environment Systems. 2019. 1062. (SDEWES Proceedings, Vol. 14).