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Optimum Design and Control of Heat Pumps for Integration into Thermohydraulic Networks

Sporleder, Maximilian ; Burkhardt, Max ; Kohne, Thomas ; Moog, Daniel ; Weigold, Matthias (2022):
Optimum Design and Control of Heat Pumps for Integration into Thermohydraulic Networks. (Publisher's Version)
In: Sustainability, 12 (22), MDPI, e-ISSN 2071-1050,
DOI: 10.26083/tuprints-00017464,

Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

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Item Type: Article
Origin: Secondary publication DeepGreen
Status: Publisher's Version
Title: Optimum Design and Control of Heat Pumps for Integration into Thermohydraulic Networks
Language: English

Germany has become one of the leading players in the transformation of the electricity sector, now having up to 42% of electricity coming from renewable sources. However, the transformation of the heating sector is still in its infancy, and especially the provision of industrial process heating is highly dependent on unsustainable fuels. One of the most promising heating technologies for renewable energies is power-to-heat, especially heat pump technology, as it can use renewable electricity to generate heat efficiently. This research explores the economic and technical boundary conditions regarding the integration of heat pumps into existing industrial thermohydraulic heating and cooling networks. To calculate the optimum design and control of heat pumps, a mixed-integer linear programming model (MILP) is developed. The model seeks the most cost-efficient configuration of heat pumps and stratified thermal storage tanks. Additionally, it optimizes the operation of all energy converters and stratified thermal storage tanks to meet a specified heating and cooling demand over one year. The objective function is modeled after the net present value (NPV) method and considers capital expenditures (costs for heat pumps and stratified thermal storage tanks) and operational expenditures (electricity costs and costs for conventional heating and cooling). The comparison of the results via a simulation model reveals an accuracy of more than 90%.

Journal or Publication Title: Sustainability
Volume of the journal: 12
Issue Number: 22
Publisher: MDPI
Collation: 23 Seiten
Uncontrolled Keywords: heat pump, MILP, design, optimization, control
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
Date Deposited: 09 Feb 2022 14:42
Last Modified: 02 May 2022 12:07
DOI: 10.26083/tuprints-00017464
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-174647
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/17464
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