District heating network maintenance planning optimization

Energy Reports

Andrea Bettinelli¹  Simone Graziani²  Daniele Vigo³  Matteo Pozzi³  Stefano Morgione³  Fabrizio Detassis³  Ettore Filippini³ 

[1] Corresponding author.;A2A, Calore e Servizi Srl, Via Lamarmora 230, 25124 Brescia (BS), Italy;Optit Srl, via Mazzini, 82 - 40138 Bologna (BO), Italy;

关键词: District heating network;    Maintenance planning;    Optimization;    Machine learning;   

DOI  :  

来源: DOAJ

【 摘 要 】

To ensure the correct functioning of district heating networks and minimize critical failures, utilities allocate every year a significant part of their budget to maintenance operations. In the present work we describe a risk-based approach implemented to tackle the problem of designing optimal multi-year maintenance campaigns, applied to the Italian city of Brescia, showing how data-driven techniques can help decision makers assess the long terms impacts of budget allocations.

【 授权许可】

Unknown