@inproceedings{MarkgrafDietrichMuelleretal.2023, author = {Markgraf, Klaus and Dietrich, Benjamin and M{\"u}ller, Katja and Flassig, Robert J and Flassig, Peter Michael}, title = {FINEconcepts - Wissenstransfer und Energiesystemoptimierung mithilfe des digitalen Zwillings}, series = {Konferenz: NWK 2023, HS Harz}, booktitle = {Konferenz: NWK 2023, HS Harz}, pages = {428 -- 435}, year = {2023}, abstract = {Climate change, but also geopolitical circumstances, are moving topics such as energy efficiency and renewable energies more and more into the focus of the population, economy , and politics. As a result, the will to optimize new and existing energy systems extends from private individuals to companies and even entire communities. This work describes the development and usage of a new software called FINEconcepts which creates a digital twin of an energy system. This virtual model can then be used to optimize the energy system based on annual costs, CO2 emissions or other relevant criteria such as self-sufficiency. Because all system components, which include renewable technologies as well, can be added as a building block with chosen but changeable parameters, the software allows the user to explore and awaken interest and understanding of technologies that were previously considered too costly, irrelevant, or unrealistic. Implemented projects in small and large companies as well as in residential areas did prove, that the usage of FINEconcepts leads not only to more efficient energy systems by increasing the use of renewable energy, but also increased knowledge and understanding in terms of energy. Besides economics, ecology and security, understanding is an equally important factor in achieving a sustainable energy supply.}, language = {de} }