Temperature control of a low-temperature district heating network with Model Predictive Control and Mixed-Integer Quadratically Constrained Programming

District heating networks transport thermal energy from one or more sources to a plurality of consumers. Lowering the operating temperatures of district heating networks is a key research topic to reduce energy losses and unlock the potential of low-temperature heat sources, such as waste heat. With...

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Bibliographic Details
Published in:	Energy (Oxford) Vol. 224; p. 120140
Main Authors:	Hering, Dominik, Cansev, Mehmet Ege, Tamassia, Eugenio, Xhonneux, André, Müller, Dirk
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.06.2021 Elsevier BV
Subjects:	case studies Computers District heating electric power Energy conservation Energy consumption Heat Heat exchangers Heat pump Heat pumps Heat sources Heating Low temperature Low-temperature district heating Mixed integer Mixed-integer quadratically-constrained programming Model predictive control Networks Operating temperature Optimization Predictive control Software in the loop temperature Temperature control Temperature dependence Thermal energy Waste heat Model predictive control Low-temperature district heating Software in the loop Heat pump Mixed-integer quadratically-constrained programming
ISSN:	0360-5442, 1873-6785
Online Access:	Get full text
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