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Robust Production Planning for District Heating Networks

Rantzer, Jonatan LU (2015) In Master's Theses in Mathematical Sciences FMA820 20151
Mathematics (Faculty of Technology) and Numerical Analysis
Abstract
Efficient use of energy becomes increasingly important in the modern society, with climate change as a driving factor. Short term production planning for district heating networks is motivated by a customer demand that varies according to a daily cycle, but which is directly dependent on changes in temperature and customer behaviour. The planning involves challenges in modeling of production unit startups and shutdowns, as well as modeling of heat storage. This thesis suggests the use of model predictive control, with a two stage stochastic programming problem solved at each iteration. Tests are performed for systems with and without accumulation. For both cases, the results indicate that the method has potential to generate savings.
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author
Rantzer, Jonatan LU
supervisor
organization
course
FMA820 20151
year
type
H2 - Master's Degree (Two Years)
subject
keywords
production planning, unit commitment, district heating, stochastic programming, optimization, robust, MPC, startup, shutdown
publication/series
Master's Theses in Mathematical Sciences
report number
LUTFMA-3283-2015
ISSN
1404-6342
other publication id
2015:E43
language
English
id
8052816
date added to LUP
2015-11-11 13:18:58
date last changed
2015-11-11 13:18:58
@misc{8052816,
  abstract     = {Efficient use of energy becomes increasingly important in the modern society, with climate change as a driving factor. Short term production planning for district heating networks is motivated by a customer demand that varies according to a daily cycle, but which is directly dependent on changes in temperature and customer behaviour. The planning involves challenges in modeling of production unit startups and shutdowns, as well as modeling of heat storage. This thesis suggests the use of model predictive control, with a two stage stochastic programming problem solved at each iteration. Tests are performed for systems with and without accumulation. For both cases, the results indicate that the method has potential to generate savings.},
  author       = {Rantzer, Jonatan},
  issn         = {1404-6342},
  keyword      = {production planning,unit commitment,district heating,stochastic programming,optimization,robust,MPC,startup,shutdown},
  language     = {eng},
  note         = {Student Paper},
  series       = {Master's Theses in Mathematical Sciences},
  title        = {Robust Production Planning for District Heating Networks},
  year         = {2015},
}