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Study on MPC Regulation Control Strategy Based on Dynamic Characteristics of Heating Systems.

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Title: Study on MPC Regulation Control Strategy Based on Dynamic Characteristics of Heating Systems.
Authors: Ma, Xiaoyu1 (AUTHOR), Ma, Shuo2 (AUTHOR) ms0305@tju.edu.cn, Chen, Yuanfan1 (AUTHOR), Yang, Chenyi1,2 (AUTHOR), Yang, Jiwei1 (AUTHOR), Ma, Hongting1 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2096. 32p.
Subject Terms: *Predictive control systems, *Heating, *Energy consumption, *Temperature control, *Transient analysis, *Thermal comfort, *Simulation methods & models, *Stability of linear systems
Geographic Terms: China, Zhengzhou Shi (China)
Abstract: Driven by the growing energy demand and severe challenges posed by climate change, reducing the high energy consumption of district heating systems while enhancing their flexibility and operational reliability has become an urgent priority. This study focuses on the heating system of a residential community in Zhengzhou, China, by developing a joint source-network-load simulation model and proposing a model predictive control (MPC) strategy tailored to the dynamic characteristics of the system. A white-box model of the building complex and heating system was established by coupling EnergyPlus and Modelica. Subsequently, the model was automatically calibrated using actual operational data and the GenOpt optimization tool, which further improved the simulation accuracy and optimal control performance of the model. The results show that the root mean square errors (RMSEs) of the calibrated secondary network supply water temperature, return water temperature, and indoor temperature decreased by 34.6% and 15.7%, respectively, verifying the effectiveness of the proposed calibration method. Furthermore, the proposed MPC strategy demonstrates significant advantages over conventional control baselines, greatly improving the temperature regulation accuracy and system stability. Compared to the baseline operation without MPC, the proposed strategy increases the user-side thermal comfort index from 56% to 100%, thereby significantly enhancing overall heating quality. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 193715992
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Study on MPC Regulation Control Strategy Based on Dynamic Characteristics of Heating Systems.
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  Data: <searchLink fieldCode="AR" term="%22Ma%2C+Xiaoyu%22">Ma, Xiaoyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Shuo%22">Ma, Shuo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> ms0305@tju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Yuanfan%22">Chen, Yuanfan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Chenyi%22">Yang, Chenyi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Jiwei%22">Yang, Jiwei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Hongting%22">Ma, Hongting</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 9, p2096. 32p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Heating%22">Heating</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperature+control%22">Temperature control</searchLink><br />*<searchLink fieldCode="DE" term="%22Transient+analysis%22">Transient analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Thermal+comfort%22">Thermal comfort</searchLink><br />*<searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br />*<searchLink fieldCode="DE" term="%22Stability+of+linear+systems%22">Stability of linear systems</searchLink>
– Name: SubjectGeographic
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink><br /><searchLink fieldCode="DE" term="%22Zhengzhou+Shi+%28China%29%22">Zhengzhou Shi (China)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Driven by the growing energy demand and severe challenges posed by climate change, reducing the high energy consumption of district heating systems while enhancing their flexibility and operational reliability has become an urgent priority. This study focuses on the heating system of a residential community in Zhengzhou, China, by developing a joint source-network-load simulation model and proposing a model predictive control (MPC) strategy tailored to the dynamic characteristics of the system. A white-box model of the building complex and heating system was established by coupling EnergyPlus and Modelica. Subsequently, the model was automatically calibrated using actual operational data and the GenOpt optimization tool, which further improved the simulation accuracy and optimal control performance of the model. The results show that the root mean square errors (RMSEs) of the calibrated secondary network supply water temperature, return water temperature, and indoor temperature decreased by 34.6% and 15.7%, respectively, verifying the effectiveness of the proposed calibration method. Furthermore, the proposed MPC strategy demonstrates significant advantages over conventional control baselines, greatly improving the temperature regulation accuracy and system stability. Compared to the baseline operation without MPC, the proposed strategy increases the user-side thermal comfort index from 56% to 100%, thereby significantly enhancing overall heating quality. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19092096
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 32
        StartPage: 2096
    Subjects:
      – SubjectFull: Predictive control systems
        Type: general
      – SubjectFull: Heating
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Temperature control
        Type: general
      – SubjectFull: Transient analysis
        Type: general
      – SubjectFull: Thermal comfort
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Stability of linear systems
        Type: general
      – SubjectFull: China
        Type: general
      – SubjectFull: Zhengzhou Shi (China)
        Type: general
    Titles:
      – TitleFull: Study on MPC Regulation Control Strategy Based on Dynamic Characteristics of Heating Systems.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ma, Xiaoyu
      – PersonEntity:
          Name:
            NameFull: Ma, Shuo
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            NameFull: Chen, Yuanfan
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            NameFull: Yang, Chenyi
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            NameFull: Yang, Jiwei
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            NameFull: Ma, Hongting
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          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
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