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  4. dynOpt-En - cloud-based predictive energy manager for supply- and demand-responsive energy source connection
 
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2022
Conference Paper
Title

dynOpt-En - cloud-based predictive energy manager for supply- and demand-responsive energy source connection

Abstract
According to the Paris Climate Agreement, climate neutrality is required for Germany by 2035 [1]. To achieve this goal, the relevant national and European regulations have been increasingly tightened. Increased demands are being placed on the building envelope and building technology, as well as a growing proportion of renewable energies. The trend is therefore clearly toward multi-generator systems with integration of renewable energies. Since the energy supply of regenerative energy sources is not congruent with the energy demand, shortages and surpluses occur with a time lag. Therefore, storage and the dynamically optimized use of different energy sources are of utmost importance. Intelligent balancing of supply and demand is an essential prerequisite, especially for sector coupling between heat and electricity. In this paper a cloud-based predictive energy manager for supply- and demand-responsive energy source connection is presented. Results from 3 test sites and simulations show energy savings of about 15% per year and increased electricity-own consumption by 20%.
Author(s)
Bernard, Thomas  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Wallner, Steffen  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Leibfried, U.
Stürtz, S.
Mainwork
21st Wind & Solar Integration Workshop, WIW 2022  
Conference
Wind & Solar Integration Workshop 2022  
DOI
10.1049/icp.2022.2824
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • PREDICTIVE ENERGY MANAGEMENT

  • PVT

  • HEAT PUMP

  • CHP

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