EconPapers    
Economics at your fingertips  
 

Optimization Tool for the Strategic Outline and Sizing of District Heating Networks Using a Geographic Information System

Thibaut Résimont, Quentin Louveaux and Pierre Dewallef
Additional contact information
Thibaut Résimont: Department of Aerospace & Mechanical Engineering, University of Liège, 4000 Liège, Belgium
Quentin Louveaux: Montefiore Institute, University of Liège, 4000 Liège, Belgium
Pierre Dewallef: Department of Aerospace & Mechanical Engineering, University of Liège, 4000 Liège, Belgium

Energies, 2021, vol. 14, issue 17, 1-24

Abstract: The implementation of district heating networks into cities is a main topic in policy planning that looks for sustainable solutions to reduce CO 2 emissions. However, their development into cities is generally limited by a high initial investment cost. The development of optimization methods intended to draft efficient systems using heating consumption profiles into a prescribed geographic area are useful in this purpose. Such tools are already referred to in the scientific literature, yet they are often restricted to limit the computational load. To bridge this gap, the present contribution proposes a multi-period mixed integer linear programming model for the optimal outline and sizing of a district heating network maximizing the net cash flow based on a geographic information system. This methodology targets a large range of problem sizes from small-scale to large-scale heating networks while guaranteeing numerical robustness. For sake of simplicity, the developed model is first applied to a scaled down case study with 3 available heating sources and a neighborhood of 16 streets. The full-scale model is presented afterwards to demonstrate the applicability of the tool for city-scale heating networks with around 2000 streets to potentially connect within a reasonable computational time of around only one hour.

Keywords: district heating; energy integration; heat storage; mixed integer linear programming; multi-period; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/17/5575/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/17/5575/ (text/html)

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:gam:jeners:v:14:y:2021:i:17:p:5575-:d:630020

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5575-:d:630020