A dynamic control strategy of district heating substations based on online prediction and indoor temperature feedback

Sun, Chao; Chen, Jiali; Cao, Shanshan; Gao, X. Y.; Xia, Guoqiang; Qi, Chengying; Wu, Xiangdong

doi:10.1016/j.energy.2021.121228

Cited by 38 publications

(12 citation statements)

References 29 publications

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“…A method that varies the flow rate by means of a pump with a frequency converter according to the outdoor temperature is proposed (Kuosa, et al, 2013). Sun et al (2021) established a strategy based on online prediction and indoor temperature feedback, which is beneficial to improve the regulation level of heating. Wang et al (2016) used a novel matrix model of district heating networks to improve the accuracy of calibration temperature predictions.…”

Section: Introductionmentioning

confidence: 99%

Coordinated economic dispatch of the primary and secondary heating systems considering the boiler’s supplemental heating

Xue

et al. 2023

Front. Energy Res.

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District heating systems have been widely used in large and medium-sized cities. Typical district heating systems consist of the primary heating system (PHS) and the secondary heating system (SHS) operating in isolation. However, the isolated dispatch of the PHS and the SHS has poor adjustability and large losses, resulting in unnecessary operation costs. To address these issues, a coordinated economic dispatching model (CEDM) for the primary and secondary heating systems considering the boiler’s supplemental heating is proposed in this study, which characterized the physical properties of the PHS and the SHS in detail. Considering that the PHS and the SHS are controlled separately without central operators in practice, it is difficult to dispatch them in a centralized method. Thus, the master-slave splitting algorithm is innovatively introduced to solve the CEDM in a decentralized way. Finally, a P6S12 system is utilized to analyze and verify the effectiveness and optimality of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Coordinated economic dispatch of the primary and secondary heating systems considering the boiler’s supplemental heating

Xue

et al. 2023

Front. Energy Res.

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“…At present, the main variable temperature controller is tested by constant temperature tank heating, multi-meter and other auxiliary tests. For pointer meters and automatic devices in substations, Sun proposes a dynamic control strategy for substations based on online prediction and indoor temperature measurement [7]. Meanwhile, the substation pointer meter intelligent reading method and substation pointer meter detection [8] and identification method based on one-dimensional measurement line mapping [9] have appeared in recent years.…”

Section: Introductionmentioning

confidence: 99%

A detection system and device for main variable temperature controller based on cloud platform

Yan

Luo

et al. 2023

Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023)

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The main variable temperature controller has not achieved an automatic testing function so far, which consumes great labor and capital costs. The innovation of this paper is to achieve fully automatic and intelligent detection of the main variable temperature controller. We construct an intelligent testing equipment remote control system, including a remote monitoring and management system for testing equipment backstage, a mobile APP for testing equipment, an APP for receiving terminals, and an application service for the testing report interface, which realizes the function of remote management and viewing of reports. A fully automatic calibration device for the main substation thermostat is designed, including the inspected thermostat, constant temperature oil tank, calibrator, and graphic conversion device, which realizes the device to automatically complete the testing of substation-related devices. By designing the communication serial port of the device and developing the corresponding device on the cloud, the software and hardware are well integrated. The technical solution promotes the turnover rate and utilization rate of testing equipment and enhances the comprehensive management capability of testing equipment.

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“…Therefore, suitable update frequency should be considered. Although daily, monthly, or real-time updates are recommended in some prediction studies, it is chosen according to the rule of thumb without quantitative analysis [39,44,45]. It is worth investigating the update frequency to achieve high accuracy with the acceptable computational cost for practical applications.…”

Section: Introductionmentioning

confidence: 99%

Impacts of data preprocessing and selection on energy consumption prediction model of HVAC systems based on deep learning

Xiao

Gang

Yuan

et al. 2022

Energy and Buildings

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A dynamic control strategy of district heating substations based on online prediction and indoor temperature feedback

Cited by 38 publications

References 29 publications

Coordinated economic dispatch of the primary and secondary heating systems considering the boiler’s supplemental heating

Coordinated economic dispatch of the primary and secondary heating systems considering the boiler’s supplemental heating

A detection system and device for main variable temperature controller based on cloud platform

Impacts of data preprocessing and selection on energy consumption prediction model of HVAC systems based on deep learning

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