{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T09:23:24Z","timestamp":1767173004617,"version":"build-2238731810"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"S3","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T00:00:00Z","timestamp":1631491200000},"content-version":"vor","delay-in-days":12,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Energy Inform"],"published-print":{"date-parts":[[2021,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Nations and companies are forced to reduce CO\n                    <jats:sub>2<\/jats:sub>\n                    emissions and decelerate global warming. In this development, the transition of the heating sector is still in its infancy despite the relatively large share of thermal energy in the total energy consumption. Industrial companies can contribute significantly to reduce CO\n                    <jats:sub>2<\/jats:sub>\n                    emissions by using waste heat through connecting their industrial energy supply system (IESS) to a district heating system (DHS). This paper focuses on emission reduction potential of an (industrial) heat transfer station (HTS) regarding energy flexibility and sector coupling required for the successful integration of industrial waste heat. To optimize the operating behaviour of the HTS, a data and optimization model is integrated into a digital twin (DT) based on reference architecture model for industry 4.0 (RAMI4.0). Within the DT, the information, functional and business layer are modeled. The effects of operating the HTS supported by central modules of the DT are evaluated on one year\u2019s data of an IESS of a real industrial site. The results show a potential operating cost reduction by 6 % for the IESS and increases in profits of 1.3 % for the DHS. Scope 2 emissions can be reduced by 25 % for the IESS and 180 % for the DHS respectively, strongly depending on emission factors and allocation methods.\n                  <\/jats:p>","DOI":"10.1186\/s42162-021-00179-z","type":"journal-article","created":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T12:03:19Z","timestamp":1631534599000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Data and optimization model of an industrial heat transfer station to increase energy flexibility"],"prefix":"10.1186","volume":"4","author":[{"given":"Thomas","family":"Kohne","sequence":"first","affiliation":[]},{"given":"Lukas","family":"Theisinger","sequence":"additional","affiliation":[]},{"given":"Jan","family":"Scherff","sequence":"additional","affiliation":[]},{"given":"Matthias","family":"Weigold","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,13]]},"reference":[{"key":"179_CR1","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1016\/j.egypro.2015.12.044","volume":"81","author":"MA Ancona","year":"2015","unstructured":"Ancona, MA, Branchini L, Di Pietra B, Melino F, Puglisi G, Zanghirella F (2015) Utilities substations in smart district heating networks. 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(2020) Anwendungsbilanzen zur Energiebilanz Deutschland: Endenergieverbrauch nach Energietr\u00e4gern und Anwendungszwecken, Berlin. https:\/\/ag-energiebilanzen.de\/index.php?article_id=29&fileName=ageb_19_v3.pdf."},{"issue":"9","key":"179_CR3","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1515\/auto-2019-0039","volume":"67","author":"B Ashtari Talkhestani","year":"2019","unstructured":"Ashtari Talkhestani, B, Jung T, Lindemann B, Sahlab N, Jazdi N, Schloegl W, Weyrich M (2019) An architecture of an intelligent digital twin in a cyber-physical production system. at - Automatisierungstechnik 67(9):762\u2013782. https:\/\/doi.org\/10.1515\/auto-2019-0039.","journal-title":"at - Automatisierungstechnik"},{"key":"179_CR4","volume-title":"Industrielle Abw\u00e4rme in Deutschland","author":"S Br\u00fcckner","year":"2016","unstructured":"Br\u00fcckner, S (2016) Industrielle Abw\u00e4rme in Deutschland. 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