Economic heat control of mixing loop for residential buildings supplied by low-temperature district heating

Increasing the penetration of Renewable Energy Sources (RES), the heat pumps are an alternative solution to facilitate the integration of RES into district heating. To hedge against the intermittency of RES, the flexibility potentials of the thermal inertia of buildings are unlocked and integrated i...

Full description

Saved in:
Bibliographic Details
Published in:Journal of Building Engineering Vol. 46; p. 103286
Main Authors: Golmohamadi, Hessam, Larsen, Kim Guldstrand
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.04.2022
Subjects:
Building
Electricity price
Mixing loop
Model predictive control
Water temperature
Building
Mixing loop
Model predictive control
Water temperature
Electricity price
ISSN:2352-7102, 2352-7102
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Increasing the penetration of Renewable Energy Sources (RES), the heat pumps are an alternative solution to facilitate the integration of RES into district heating. To hedge against the intermittency of RES, the flexibility potentials of the thermal inertia of buildings are unlocked and integrated into power systems. This paper suggests a novel structure to control the mixing loop of residential heating systems supplied by electrically operated district heating. The Economic Model Predictive Control (EMPC) is proposed to optimize the heat demand of the buildings in response to electricity market price. The EMPC controls the temperature and flow rate of forward/return water in the mixing loop to minimize the energy consumption cost of households. The thermal dynamics of the buildings are modeled by 3-state differential equations to integrate the flexibility potentials of thermal inertia into the district heating. The approach optimizes the heat consumption of the building with multi-temperature zones. The Continuous-Time Stochastic Model (CTSM) is addressed to determine the thermal dynamics of the building using sensor data. Finally, a 150 m2 Danish test house with four temperature zones is simulated. The simulation results show that the suggested approach not only minimizes the energy consumption cost but also provides flexibility for the Danish Electricity Market. •Minimizing energy consumption cost of buildings with multi-temperature zones.•Providing power-to-heat flexibility for low-temperature district heating.•Adjusting temperature and flow rate of heat carrier in mixing loop of district heating.
ISSN:2352-7102
2352-7102
DOI:10.1016/j.jobe.2021.103286