| dc.contributor.author | Aleksandar Ivančić | |
| dc.contributor.author | Joaquim Romaní | |
| dc.contributor.author | Jaume Salom | |
| dc.contributor.author | Maria-Victoria Cambronero | |
| dc.contributor.other | Thermal Energy and Building Performance Group, Catalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Barcelona, Spain | |
| dc.contributor.other | Thermal Energy and Building Performance Group, Catalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Barcelona, Spain | |
| dc.contributor.other | Thermal Energy and Building Performance Group, Catalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 08930 Sant Adrià de Besòs, Barcelona, Spain | |
| dc.contributor.other | ACCIONA, Anabel Segura 11, 28108 Alcobendas, Madrid, Spain | |
| dc.date.accessioned | 2025-10-09T05:29:19Z | |
| dc.date.available | 2025-10-09T05:29:19Z | |
| dc.date.issued | 01-04-2021 | |
| dc.identifier.uri | https://www.mdpi.com/1996-1073/14/8/2334 | |
| dc.identifier.uri | http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/41077 | |
| dc.description.abstract | District energy systems, especially those integrating renewables or low exergy sources, have multiple elements for generating heating and cooling. Some of these elements might be used for both purposes: heating and cooling, either simultaneously or alternatively. This makes it more complex to separate the assessment and have a clear picture on performance of cooling service on one side, and heating services on the other, in terms of energy, environmental, and economic results. However, a correct comparison between different district energy configurations or among district energy and conventional solutions requires split assessment of each service. The paper presents a methodology for calculating different district heating and cooling system key performance indicators (KPIs), distinguishing between heating and cooling ones. A total of eleven indicators are organized under four categories: energy, environment, economy and socio-economy. Each KPI is defined for heating service and for cooling service. According to this, the methodology proposes a demand-based and an investment-based share factors that facilitate the heating and cooling KPI calculation. | |
| dc.language.iso | EN | |
| dc.publisher | MDPI AG | |
| dc.subject.lcc | Technology | |
| dc.title | Performance Assessment of District Energy Systems with Common Elements for Heating and Cooling | |
| dc.type | Article | |
| dc.description.keywords | district heating | |
| dc.description.keywords | district cooling | |
| dc.description.keywords | renewable energy | |
| dc.description.keywords | key performance indicator | |
| dc.description.keywords | benchmarking | |
| dc.description.doi | 10.3390/en14082334 | |
| dc.title.journal | Energies | |
| dc.identifier.e-issn | 1996-1073 | |
| dc.identifier.oai | oai:doaj.org/journal:ebb56995fde842c7a9f4e7027e5bc16c | |
| dc.journal.info | Volume 14, Issue 8 | |