Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano
This work aims at developing a methodology for the assessment of district heating (DH) potential through the mapping of energy demand and waste heat sources. The presented method is then applied to the Metropolitan City of Milano as a case study in order to investigate the current and, especially, t...
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| Format: | Article |
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MDPI AG
2021-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/9/2627 |
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| author | Giulia Spirito Alice Dénarié Fabrizio Fattori Mario Motta Samuel Macchi Urban Persson |
| author_facet | Giulia Spirito Alice Dénarié Fabrizio Fattori Mario Motta Samuel Macchi Urban Persson |
| author_sort | Giulia Spirito |
| collection | DOAJ |
| description | This work aims at developing a methodology for the assessment of district heating (DH) potential through the mapping of energy demand and waste heat sources. The presented method is then applied to the Metropolitan City of Milano as a case study in order to investigate the current and, especially, the future sustainability of DH with the foreseen building refurbishment and consequent heat demand reduction. The first step is the identification of the areas the most interesting from a heat density and an economic point of view through a clustering algorithm, in which lies the main novelty of the work. The potential is then assessed by investigating their synergy with the available heat sources, which are mapped and analyzed in terms of recoverable thermal energy and costs. In future scenarios with foreseen heat demand reduction, low-temperature networks and excess heat sources are considered, such as metro stations and datacenters, together with the conventional sources, such as thermoelectric plants. The outcomes prove that lower heat demand corresponds to higher network costs with consequently reduced district heating potential but also prove that the properties of low-temperature district heating can potentially compensate for the drop in its cost-effectiveness. Another interesting finding is that the renovation of buildings in an area should be not performed evenly but with criteria; for instance, in synergy with DH diffusion. |
| first_indexed | 2024-03-10T11:43:18Z |
| format | Article |
| id | doaj.art-57308fc15e974c12b0748d85665309de |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T11:43:18Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-57308fc15e974c12b0748d85665309de2023-11-21T18:19:43ZengMDPI AGEnergies1996-10732021-05-01149262710.3390/en14092627Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in MilanoGiulia Spirito0Alice Dénarié1Fabrizio Fattori2Mario Motta3Samuel Macchi4Urban Persson5Department of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, ItalyDepartment of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, ItalyDepartment of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, ItalyDepartment of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, ItalyDepartment of Energy, Politecnico di Milano, Via Lambruschini 4, 20156 Milano, ItalySchool of Business, Innovation and Sustainability, Halmstad University, P.O. Box 823, S-301 18 Halmstad, SwedenThis work aims at developing a methodology for the assessment of district heating (DH) potential through the mapping of energy demand and waste heat sources. The presented method is then applied to the Metropolitan City of Milano as a case study in order to investigate the current and, especially, the future sustainability of DH with the foreseen building refurbishment and consequent heat demand reduction. The first step is the identification of the areas the most interesting from a heat density and an economic point of view through a clustering algorithm, in which lies the main novelty of the work. The potential is then assessed by investigating their synergy with the available heat sources, which are mapped and analyzed in terms of recoverable thermal energy and costs. In future scenarios with foreseen heat demand reduction, low-temperature networks and excess heat sources are considered, such as metro stations and datacenters, together with the conventional sources, such as thermoelectric plants. The outcomes prove that lower heat demand corresponds to higher network costs with consequently reduced district heating potential but also prove that the properties of low-temperature district heating can potentially compensate for the drop in its cost-effectiveness. Another interesting finding is that the renovation of buildings in an area should be not performed evenly but with criteria; for instance, in synergy with DH diffusion.https://www.mdpi.com/1996-1073/14/9/2627district heatingdistrict heating potentialclusteringlow-temperature district heatingdistribution costs |
| spellingShingle | Giulia Spirito Alice Dénarié Fabrizio Fattori Mario Motta Samuel Macchi Urban Persson Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano Energies district heating district heating potential clustering low-temperature district heating distribution costs |
| title | Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano |
| title_full | Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano |
| title_fullStr | Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano |
| title_full_unstemmed | Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano |
| title_short | Potential Diffusion of Renewables-Based DH Assessment through Clustering and Mapping: A Case Study in Milano |
| title_sort | potential diffusion of renewables based dh assessment through clustering and mapping a case study in milano |
| topic | district heating district heating potential clustering low-temperature district heating distribution costs |
| url | https://www.mdpi.com/1996-1073/14/9/2627 |
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