{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:20:33Z","timestamp":1760242833714,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2016,11,24]],"date-time":"2016-11-24T00:00:00Z","timestamp":1479945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The district heating (DH) demand of various systems has been simulated in several studies. Most studies focus on the temporal aspects rather than the spatial component. In this study, the DH demand for a medium-sized DH network in a city in southern Germany is simulated and analyzed in a spatially explicit approach. Initially, buildings are geo-located and attributes obtained from various sources including building type, ground area, and number of stories are merged. Thereafter, the annual primary energy demand for heating and domestic hot water is calculated for individual buildings. Subsequently, the energy demand is aggregated on the segment level of an existing DH network and the water flow is routed through the system. The simulation results show that the distribution losses are overall the highest at the end segments (given in percentage terms). However, centrally located pipes with a low throughflow are also simulated to have high losses. The spatial analyses are not only useful when addressing the current demand. Based on a scenario taking into account the refurbishment of buildings and a decentralization of energy production, the future demand was also addressed. Due to lower demand, the distribution losses given in percentage increase under such conditions.<\/jats:p>","DOI":"10.3390\/ijgi5120219","type":"journal-article","created":{"date-parts":[[2016,11,24]],"date-time":"2016-11-24T10:19:15Z","timestamp":1479982755000},"page":"219","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Geospatial Analysis of the Building Heat Demand and Distribution Losses in a District Heating Network"],"prefix":"10.3390","volume":"5","author":[{"given":"Tobias","family":"T\u00f6rnros","sequence":"first","affiliation":[{"name":"Institute of Geography\u2013GIScience, Heidelberg University, Im Neuenheimer Feld 368, Heidelberg 69120, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2233-6926","authenticated-orcid":false,"given":"Bernd","family":"Resch","sequence":"additional","affiliation":[{"name":"Institute of Geography\u2013GIScience, Heidelberg University, Im Neuenheimer Feld 368, Heidelberg 69120, Germany"},{"name":"Department of Geoinformatics\u2013Z_GIS, University of Salzburg, Schillerstrasse 30, Salzburg 502, Austria"},{"name":"Center for Geographic Analysis, Harvard University, Cambridge, MA 02138, USA"}]},{"given":"Matthias","family":"Rupp","sequence":"additional","affiliation":[{"name":"geomer GmbH, Im Breitspiel 11b, Heidelberg 69126, Germany"}]},{"given":"Hartmut","family":"G\u00fcndra","sequence":"additional","affiliation":[{"name":"Clustermanager GeoNet.MRN, P7 20-21, Mannheim 68161, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2016,11,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1381","DOI":"10.1016\/j.energy.2009.11.023","article-title":"The role of district heating in future renewable energy systems","volume":"35","author":"Lund","year":"2010","journal-title":"Energy"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.apenergy.2015.10.024","article-title":"Heat demand profiles of energy conservation measures in buildings and their impact on a district heating system","volume":"161","author":"Wallin","year":"2016","journal-title":"Appl. Energy"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.energy.2012.06.011","article-title":"The role of district heating in the future Danish energy system","volume":"48","author":"Morthorst","year":"2012","journal-title":"Energy"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"662","DOI":"10.3390\/ijgi3020662","article-title":"GIS-based planning and modeling for renewable energy: Challenges and future research avenues","volume":"3","author":"Resch","year":"2014","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1016\/j.energy.2013.05.041","article-title":"GIS-Based analysis of future district heating potential in Denmark","volume":"57","author":"Nielsen","year":"2013","journal-title":"Energy"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1016\/j.energy.2013.06.028","article-title":"GIS-based assessment of the district heating potential in the USA","volume":"58","author":"Gils","year":"2013","journal-title":"Energy"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.enconman.2012.03.006","article-title":"Developments to an existing city-wide district energy network\u2014Part I: Identification of potential expansions using heat mapping","volume":"62","author":"Finney","year":"2012","journal-title":"Energ. Conv. Manag."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Kaden, R., and Kolbe, T. (2013, January 27\u201329). City-wide total energy demand estimation of buildings using semantic 3D city models and statistical data. Proceedings of the ISPRS 8th 3DGeoInfo Conference & WG II\/2 Workshop, Istanbul, Turkey.","DOI":"10.5194\/isprsannals-II-2-W1-163-2013"},{"key":"ref_9","unstructured":"Bale, C.S.E., Bush, R.E., and Taylor, P. (2014). Spatial Mapping Tools for District Heating (DH): Helping Local Authorities Tackle Fuel Poverty, Centre for Intergarated Energy Research, University of Leeds. Project Report."},{"key":"ref_10","unstructured":"Greater London Authority (2013). District Heating Manual for London, Greater London Authority."},{"key":"ref_11","unstructured":"Herrmann, J. (2013). Optimierung der St\u00e4dtischen Energieversorgung am Beispiel der Stadt Augsburg unter Besonderer Ber\u00fccksichtigung von W\u00e4rmetransportmechanismen. [Ph.D. Thesis, University of Augsburg]."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1016\/j.rser.2010.12.008","article-title":"Optimization methods applied to renewable and sustainable energy: A review","volume":"15","author":"Montoya","year":"2011","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_13","first-page":"165","article-title":"Determination of optimal district heating pipe network configuration","volume":"5","author":"Jamsek","year":"2010","journal-title":"WSEAS Trans. Fluid Mech."},{"key":"ref_14","unstructured":"Vesterlund, M., Sandberg, J., Lindblom, B., and Dahl, J. (2013, January 16\u201319). Evaluation of losses in district heating system, a case study. Proceedings of the 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Guilin, China."},{"key":"ref_15","unstructured":"Gn\u00fcchtel, S. Netz-Optimierung f\u00fcr die Ausbauplanung (STEFaN\u2014Software zur Trassen-Erschlie\u00dfung Fernw\u00e4rme f\u00fcr Allgemeine Freie Nutzung) Computer Software. Available online: https:\/\/tu-dresden.de\/ing\/maschinenwesen\/iet\/gewv\/forschung\/forschungsprojekte\/mldh\/download_mldh."},{"key":"ref_16","unstructured":"KEA (Energy Agency of the State of Baden-W\u00fcrttemberg, Germany) W\u00e4rmenetz-Analyst (WNA) (Heat Net Analyzer). Available online: http:\/\/www.kea-bw.de\/shop\/startseite\/."},{"key":"ref_17","unstructured":"Miksche, M. (2011). Prototypische Umsetzung einer GIS-gest\u00fctzten Nahw\u00e4rmenetzkonzeption mit Netzwerkerstellung und\u2014Analyse. [Ph.D. Thesis, Karlsruhe University of Applied Sciences]."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/0196-8904(95)98895-T","article-title":"Operational optimization in a district heating system","volume":"36","author":"Benonysson","year":"2011","journal-title":"Energy Converns. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2407","DOI":"10.1016\/j.energy.2011.01.024","article-title":"Method for optimal design of pipes for low-energy district heating, with focus on heat losses","volume":"36","author":"Li","year":"2011","journal-title":"Energy"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1016\/j.applthermaleng.2003.11.014","article-title":"Evaluation of energy and exergy losses in district heating network","volume":"24","year":"2004","journal-title":"Appl. Therm. Eng."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3256","DOI":"10.1016\/j.energy.2010.04.009","article-title":"Piping network design of geothermal district heating systems: Case study for a University Campus","volume":"35","author":"Yildirim","year":"2010","journal-title":"Energy"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.enbuild.2014.10.067","article-title":"Effects of boosting the supply temperature on pipe dimensions of low-energy district heating networks: A case study in Gladsaxe, Denmark","volume":"88","author":"Tol","year":"2015","journal-title":"Energy Build."},{"key":"ref_23","unstructured":"Nahw\u00e4rmenetze und Bioenergieanlagen: Ein Beitrag zur effizienten W\u00e4rmenutzung und zum Klimaschutz. Available online: https:\/\/www.carmen-ev.de\/files\/festbrennstoffe\/merkblatt_Nahwaermenetz_carmen_ev.pdf."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.resconrec.2015.04.010","article-title":"Effect of the use of industrial excess heat in district heating on greenhouse gas emissions: A systems perspective","volume":"100","author":"Ivner","year":"2015","journal-title":"Resour. Con. Recy."},{"key":"ref_25","unstructured":"AdV (Working Committee of the Surveying Authorities of the States of the Federal Republic of Germany) Documentation on the Modelling of Geoinformation of Official Surveying and Mapping (GeoInfoDok). Available online: www.adv-online.de\/Publications\/AFIS-ALKIS-ATKIS-Project\/."},{"key":"ref_26","unstructured":"Loga, T., Diefenbach, N., and Stein, B. (2012). Typology Approach for Building Stock Energy Assessment. Main Results of the TABULA Project. Final Project Report, Institute for Housing and Environment."},{"key":"ref_27","unstructured":"Loga, T., Diefenbach, N., and Born, R. (2011). Deutsche Geb\u00e4udetypologie. Beispielhafte Ma\u00dfnahmen zur Verbesserung der Energieeffizienz von typischen Wohngeb\u00e4uden, Institute Wohnen und Umwelt."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.3390\/ijgi4031657","article-title":"Quality evaluation of VGI using authoritative data\u2014A comparison with land use data in Southern Germany","volume":"4","author":"Dorn","year":"2015","journal-title":"ISPRS Int. J. Geo-Inf."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/5\/12\/219\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:27:21Z","timestamp":1760210841000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/5\/12\/219"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,24]]},"references-count":28,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2016,12]]}},"alternative-id":["ijgi5120219"],"URL":"https:\/\/doi.org\/10.3390\/ijgi5120219","relation":{},"ISSN":["2220-9964"],"issn-type":[{"type":"electronic","value":"2220-9964"}],"subject":[],"published":{"date-parts":[[2016,11,24]]}}}