State space model and robust control of plate heat exchanger for dynamic performance improvement

Wang, Yaran; You, Shijun; Zheng, Wandong; Zhang, Huan; Zheng, Xuejing; Miao, Qing

doi:10.1016/j.applthermaleng.2017.09.120

Cited by 35 publications

(12 citation statements)

References 24 publications

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“…In this article, the designed heat transfer capacity of HEX, KF WTES 1 , is used to replace KF , which is obtained by multiplying the rated overall heat transfer coefficient and total heat exchange area. Equation (2) can be rewritten as Equation ( 5) accordingly [32,33].…”

Section: Water Thermal Energy Storagementioning

confidence: 99%

“…WTES and EH-PHTES constraints are shown in Equations ( 11)-( 20), ( 22) and ( 28)- (33). At the same time, in order to ensure reasonable operation for each typical day, it is assumed that the energy stored in the DTES is consistent at the beginning, t0, and end, tend, of operation time intervals.…”

Section: Lower Stage: Optimization Of the Uehies Considering Typical Day Operation And Maintenance Costmentioning

confidence: 99%

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Distributed Thermal Energy Storage Configuration of an Urban Electric and Heat Integrated Energy System Considering Medium Temperature Characteristics

et al. 2021

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Distributed thermal energy storage (DTES) provides specific opportunities to realize the sustainable and economic operation of urban electric heat integrated energy systems (UEHIES). However, the construction of the theory of the model and the configuration method of thermal storage for distributed application are still challenging. This paper analyzes the heat absorption and release process between the DTES internal heat storage medium and the heat network transfer medium, refines the relationship between heat transfer power and temperature characteristics, and establishes a water thermal energy storage and electric heater phase change thermal energy storage model, considering medium temperature characteristics. Combined with the temperature transmission delay characteristics of a heat network, a two-stage optimal configuration model of DTES for UEHIES is proposed. The results show that considering the temperature characteristics in the configuration method can accurately reflect the performance of DTES, enhance wind power utilization, improve the operation efficiency of energy equipment, and reduce the cost of the system.

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Section: Water Thermal Energy Storagementioning

confidence: 99%

Section: Lower Stage: Optimization Of the Uehies Considering Typical Day Operation And Maintenance Costmentioning

confidence: 99%

Distributed Thermal Energy Storage Configuration of an Urban Electric and Heat Integrated Energy System Considering Medium Temperature Characteristics

et al. 2021

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“…They concluded that good control was important to maximize effective storage of the tank and heat recovery. Wang et al [29] developed a linear state-space model for controller design of plate HEXs to enable stable and efficient operations of heating substation in DH networks. Whalley and Ebrahimi [30] presented a general dynamic modeling process for tube and shell HEXs, with associated feedback control design techniques.…”

Section: Related Work and Main Contributionmentioning

confidence: 99%

An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters

2019

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Industrial plants organized in clusters may improve their economics and energy efficiency by exchanging and utilizing surplus heat. However, integrating inherently dynamic processes and highly time-varying surplus-heat supplies and demands is challenging. To this end, a structured optimization and control framework may significantly improve inter-plant surplus-heat valorization. We present a Modelica-based systems model and optimal-control scheme for surplus-heat exchange in industrial clusters. An industry-cluster operator is assumed to coordinate and control the surplus-heat exchange infrastructure and responsible for handling the surplus heat and satisfy the sink plants’ heat demands. As a case study, we use an industry cluster consisting of two plants with surplus heat available and two plants with heat demand. The total surplus heat and heat demand are equal, but the availability and demand are highly asynchronous. By optimally utilizing demand predictions and a thermal energy storage (TES) unit, the operator is able to supply more than 98% of the deficit heat as surplus heat from the plants in the industry cluster, while only 77% in a corresponding case without TES. We argue that the proposed framework and case study illustrates a direction for increasing inter-plant surplus-heat utilization in industry clusters with reduced use of peak heating, often associated with high costs or emissions.

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“…The optimization of control curve is performed based on the simplified steady-state models which may not be adequate in context of network flexibility as discussed in [10]. The model-based design approaches are required for efficient and robust performances of energy systems [11], [12]. In [13], a dynamical model of plate heat exchanger is developed which describes the thermal behavior of the fluids involved in the heat transfer process.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of a Substation of a District Heating System for Enhanced Environmental and Economic Performance

Chaudhry

Lezaun²,

Fontes

et al. 2022

Preprint

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State space model and robust control of plate heat exchanger for dynamic performance improvement

Cited by 35 publications

References 24 publications

Distributed Thermal Energy Storage Configuration of an Urban Electric and Heat Integrated Energy System Considering Medium Temperature Characteristics

Distributed Thermal Energy Storage Configuration of an Urban Electric and Heat Integrated Energy System Considering Medium Temperature Characteristics

An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters

Model Predictive Control of a Substation of a District Heating System for Enhanced Environmental and Economic Performance

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