The various governmental policies aimed at reducing the dependence on fossil fuels for space heating and the reduction in its associated emission of greenhouse gases such as CO2 demands innovative measures. District heating systems (DHSs) using residual industrial waste heats could provide such an efficient method for house and space heating. In such systems, heat is produced and/or thermally upgraded in a central plant and then distributed to the final consumers through a pipeline network. In this work the main objective is to tune a non-linear model predictive controller which is for assuring to satisfy the heat demands of the heat consumers in the system as soon as possible. A well known method in field of experiment design is applied to tune the model predictive controller to reach the best performance. In environmental aspects it means that the heat demand of the consumers is mainly fulfilled by using waste heat and completing the lack of heat from a secondary heat producer beside reach the control goal in the fastest way.
|Title of host publication||PRES 2010 - 13th International Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction|
|Publisher||Italian Association of Chemical Engineering - AIDIC|
|Number of pages||6|
|Publication status||Published - Jan 1 2010|
ASJC Scopus subject areas
- Chemical Engineering(all)