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Data and Optimization Model of an Industrial Heat Transfer Station to Increase Energy Flexibility

Kohne, Thomas ; Theisinger, Lukas ; Scherff, Jan ; Weigold, Matthias (2021):
Data and Optimization Model of an Industrial Heat Transfer Station to Increase Energy Flexibility.
In: Energy Informatics, 4 (Suppl. 3), Springer Open, e-ISSN 2520-8942,
DOI: 10.1186/s42162-021-00179-z,
[Article]

Abstract

Nations and companies are forced to reduce CO2 emissions and decelerate global warming. In this development, the transition of the heating sector is still in its infancy despite the relatively large share of thermal energy in the total energy consumption. Industrial companies can contribute significantly to reduce CO2 emissions by using waste heat through connecting their industrial energy supply system (IESS) to a district heating system (DHS). This paper focuses on emission reduction potential of an (industrial) heat transfer station (HTS) regarding energy flexibility and sector coupling required for the successful integration of industrial waste heat. To optimize the operating behaviour of the HTS, a data and optimization model is integrated into a digital twin (DT) based on reference architecture model for industry 4.0 (RAMI4.0). Within the DT, the information, functional and business layer are modeled. The effects of operating the HTS supported by central modules of the DT are evaluated on one year's data of an IESS of a real industrial site. The results show a potential operating cost reduction by 6 % for the IESS and increases in profits of 1.3 % for the DHS. Scope 2 emissions can be reduced by 25 % for the IESS and 180 % for the DHS respectively, strongly depending on emission factors and allocation methods.

Item Type: Article
Erschienen: 2021
Creators: Kohne, Thomas ; Theisinger, Lukas ; Scherff, Jan ; Weigold, Matthias
Title: Data and Optimization Model of an Industrial Heat Transfer Station to Increase Energy Flexibility
Language: English
Abstract:

Nations and companies are forced to reduce CO2 emissions and decelerate global warming. In this development, the transition of the heating sector is still in its infancy despite the relatively large share of thermal energy in the total energy consumption. Industrial companies can contribute significantly to reduce CO2 emissions by using waste heat through connecting their industrial energy supply system (IESS) to a district heating system (DHS). This paper focuses on emission reduction potential of an (industrial) heat transfer station (HTS) regarding energy flexibility and sector coupling required for the successful integration of industrial waste heat. To optimize the operating behaviour of the HTS, a data and optimization model is integrated into a digital twin (DT) based on reference architecture model for industry 4.0 (RAMI4.0). Within the DT, the information, functional and business layer are modeled. The effects of operating the HTS supported by central modules of the DT are evaluated on one year's data of an IESS of a real industrial site. The results show a potential operating cost reduction by 6 % for the IESS and increases in profits of 1.3 % for the DHS. Scope 2 emissions can be reduced by 25 % for the IESS and 180 % for the DHS respectively, strongly depending on emission factors and allocation methods.

Journal or Publication Title: Energy Informatics
Volume of the journal: 4
Issue Number: Suppl. 3
Publisher: Springer Open
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > ETA Energy Technologies and Applications in Production
Date Deposited: 14 Oct 2021 05:27
DOI: 10.1186/s42162-021-00179-z
Additional Information:

Supplement: Proceedings of the 10th DACH+ Conference on Energy Informatics, Artikel-Nr. 24

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