Repository logo
Log In(current)
  1. Home
  2. Prodotti della ricerca
  3. A. Contributo su rivista
  4. A1. Articolo in rivista
  5. Assessment of the Optimal Energy Generation and Storage Systems to Feed a Districting Heating Network

Assessment of the Optimal Energy Generation and Storage Systems to Feed a Districting Heating Network

Author(s)
Pompei, Laura
Nardecchia, Fabio
Miliozzi, Adio
Groppi, Daniele  
Astiaso Garcia, Davide
more
Date Issued
2024
Type
article
Volume
14
Issue
8
DOI
10.3390/buildings14082370
Journal
BUILDINGS  
Abstract
Employing sustainable energy systems is a must fact of the current years. Urban districts can lead the decarbonization process of cities to allow the development of decentralization energy systems such as district heating. On the other hand, the exergy analysis combined with energy evaluation can be a suitable way to investigate the efficiency and flexibility of an energy system. In this framework, this study investigates the optimal energy and storage systems to feed a district heating network. Four types of energy systems were analyzed, such as boilers, cogeneration plants, solar systems and the combination of them. The size of the thermal energy storage of the network is investigated in terms of volume and temperature. In parallel, the exergy efficiency of all the systems was calculated. The optimal heating system configuration to feed the studied district heating is the cogeneration plant with solar collectors, according to both the temperature trend fluctuation and exergy efficiency of the system. Moreover, the employment of thermal energy storage is crucial to face the renewable energy source’s variability. As a further investigation, additional exergy indicators can be studied to underline the performances of such an decentralized energy system to increase the quality of the built environment.
Handle
http://hdl.handle.net/2067/51796
File(s)
Thumbnail Image
Name

buildings-14-02370.pdf

Description
published version
Size

10.32 MB

Format

Adobe PDF

Checksum (MD5)

f9fa6aa96cf45f547aa9dd319c6614fa

Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify