Kohne, Thomas ; Scherff, Jan Niklas ; Weigold, Matthias (2025)
Cascaded heat merit order for industrial energy systems to evaluate district heating potential.
In: Production Engineering : Research and Development, 2023, 17 (2)
doi: 10.26083/tuprints-00028450
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Cascaded heat merit order for industrial energy systems to evaluate district heating potential |
Language: | English |
Date: | 17 January 2025 |
Place of Publication: | Darmstadt |
Year of primary publication: | April 2023 |
Place of primary publication: | Berlin ; Heidelberg |
Publisher: | Springer |
Journal or Publication Title: | Production Engineering : Research and Development |
Volume of the journal: | 17 |
Issue Number: | 2 |
DOI: | 10.26083/tuprints-00028450 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | Industrial companies are undergoing a transformation to decrease energy costs and reduce emissions. The integration of renewables, sector coupling technologies, and industrial waste heat lead to complex interconnected industrial energy systems. As district heating systems play a decisive role for the integration of industrial waste heat in the building sector, barriers must be analyzed to overcome the gap between waste heat potential and waste heat use. Although data from production systems and their on-site energy supply are becoming available in the ongoing process of digitization, information deficits can be identified as one of the main barriers to couple industrial energy systems with district heating. We present a data-based methodology to evaluate the potential of industrial energy systems for connecting to district heating systems. Data from production systems, energy converters, thermal networks and necessary parameters of district heating systems are merged into a data model to determine a cascaded heat merit order and indicators for the energetic, economic and ecological potential. To set up the cascaded heat merit order, an algorithm for balancing complex industrial energy systems is integrated within the data model. In a case study, we apply the methodology to data of an industrial site. Besides increasing transparency through visualization of the cascaded heat merit order and corresponding indicators, the results show a base load potential of up to 0.8 MW over a year. |
Uncontrolled Keywords: | Industrial heating and cooling, Waste heat, District heating, Heat merit order, Potential analysis, Data-based methodology |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-284504 |
Additional Information: | Issue: Digital-based Production |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering 600 Technology, medicine, applied sciences > 670 Manufacturing |
Divisions: | 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > ETA Energy Technologies and Applications in Production |
Date Deposited: | 17 Jan 2025 10:42 |
Last Modified: | 17 Jan 2025 10:43 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/28450 |
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