Model predictive control of district heating system

Lie-Jensen, Frode; Aannø, Andreas; Aleksandrova, Elena; Westli, Anders; Nielsen, Morten; Komulainen, Tiina M.
Journal article, Journal article, Peer reviewed
Published version
Thumbnail
View/Open
URI
https://hdl.handle.net/10642/6528
Date
2018-11-19
Metadata
Show full item record
Collections
Original version
Lie-Jensen, Aannø, Aleksandrova, Westli, Nielsen M, Komulainen TMK. Model predictive control of district heating system. Linköping Electronic Conference Proceedings. 2018   http://dx.doi.org/10.3384/ecp1815343
Abstract
District heating system (DHS) is a widely used and increasingly popular energy source in cities. The uncertainty in the heat load (HL) due to customer demand fluctuations makes unit commitment (UC) and heat production unit (HPU) control a complex task. This case study of the DHS at Fortum Oslo Varme AS (FOV) aims to find a strategy to optimize and fully automate UC and HPU. Our results suggests this can be accomplished by using model predictive control (MPC) to control HPU power and flow rate, mixed integer linear programming (MILP) optimization to solve UC problem, and multiple linear regression (MLR) model to predict the HL. We also show that the fuel cost can be reduced significantly.
Publisher
Linköping University Electronic Press
Series
Linköping Electronic Conference Proceedings;153:007
Journal
Linköping Electronic Conference Proceedings
LiU E-Press publish open access under the Creative Commons license: BY-NC Attribution-Non-commercial.
Except where otherwise noted, this item's license is described as LiU E-Press publish open access under the Creative Commons license: BY-NC Attribution-Non-commercial.