Next Article in Journal
Manor Parks in Poland—Costly Heritage or Potential for the Development of Rural Communes
Next Article in Special Issue
Genetic Algorithm for Energy Commitment in a Power System Supplied by Multiple Energy Carriers
Previous Article in Journal
Social Sustainability in Adolescents’ Music Event Attendance
Previous Article in Special Issue
Unified Energy Agents for Combined District Heating and Electrical Network Simulation
Article

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

1
Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems IEG, 76139 Karlsruhe, Germany
2
Institute of Production Management, Technology and Machine Tools, Technical University of Darmstadt, 64287 Darmstadt, Germany
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(22), 9421; https://doi.org/10.3390/su12229421
Received: 15 October 2020 / Revised: 6 November 2020 / Accepted: 10 November 2020 / Published: 12 November 2020
(This article belongs to the Special Issue Multi-Utility Energy System Optimization)
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%. View Full-Text
Keywords: heat pump; MILP; design; optimization; control heat pump; MILP; design; optimization; control
Show Figures

Figure 1

MDPI and ACS Style

Sporleder, M.; Burkhardt, M.; Kohne, T.; Moog, D.; Weigold, M. Optimum Design and Control of Heat Pumps for Integration into Thermohydraulic Networks. Sustainability 2020, 12, 9421. https://doi.org/10.3390/su12229421

AMA Style

Sporleder M, Burkhardt M, Kohne T, Moog D, Weigold M. Optimum Design and Control of Heat Pumps for Integration into Thermohydraulic Networks. Sustainability. 2020; 12(22):9421. https://doi.org/10.3390/su12229421

Chicago/Turabian Style

Sporleder, Maximilian, Max Burkhardt, Thomas Kohne, Daniel Moog, and Matthias Weigold. 2020. "Optimum Design and Control of Heat Pumps for Integration into Thermohydraulic Networks" Sustainability 12, no. 22: 9421. https://doi.org/10.3390/su12229421

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop