EconPapers    
Economics at your fingertips  
 

Peak-shaving in district heating systems through optimal management of the thermal request of buildings

Elisa Guelpa, Giulia Barbero, Adriano Sciacovelli and Vittorio Verda

Energy, 2017, vol. 137, issue C, 706-714

Abstract: This paper aims at analyzing the opportunities for peak load shaving in district heating systems using a physical simulation tool. Using the proposed approach it is possible to examine the effects on the total load that can be obtained by adopting management strategies such as variation in the thermal request profile of the buildings or installation of local storage systems. The model is applied to the optimization of start-up time of the heating system in the buildings located in a selected distribution network. Proper constraints are introduced in order to avoid significant effects on the indoor temperatures of the buildings, so that acceptable comfort standard can be guaranteed. The primary energy consumption at the thermal plants is considered as the objective function to be minimized. An application to a portion of the Turin district heating network, which is the largest network in Italy, is presented. Results show that even in the case only small changes are applied, reductions in annual primary energy consumption up to 0.4% can be obtained without any additional investment cost. This opens the door larger positive impact through implementation of more complex operating strategy.

Keywords: District heating model; Peak shaving; Primary energy savings; Optimization; Thermal request variation; Virtual storage (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544217311040
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:137:y:2017:i:c:p:706-714

DOI: 10.1016/j.energy.2017.06.107

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:137:y:2017:i:c:p:706-714