An isomorphic multi-energy flow modeling for integrated power and thermal system considering nonlinear heat transfer constraint

He, Ke-Lun; Chen, Qun; Ma, Huan; Zhao, Tian; Hao, Jianli

doi:10.1016/j.energy.2020.119003

Cited by 31 publications

(6 citation statements)

References 18 publications

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“…Under the assumptions of this paper, the dynamic expression of the temperature of the tube wall in the heat exchange process with time can be derived based on the heat current method 32

{(M{c}_{p})}_{b}\frac{\partial {T}_{b}}{\partial t}=\frac{[{T}_{h}(t)-{T}_{b}(t)]}{{R}_{h}}-\frac{[{T}_{b}(t)-{T}_{c}(t)]}{{R}_{c}},

where M is the mass of the heat exchanger surface, and c p is the heat exchanger wall's heat capacity. R h is the thermal resistance between the thermal fluid and the heat exchanger wall, and R c is the thermal resistance between the thermal fluid and the heat exchanger wall.…”

Section: Dynamic Model Based On Standard Thermal Resistance Methodsmentioning

confidence: 99%

Various disturbances propagation analysis of district heating system based on the standardized thermal resistance method

Chen,

Wang,

Hao

et al. 2023

Energy Science & Engineering

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Various heating disturbances and faults in the heating network are necessary to be controlled and handled by some intelligent heating strategies with the increasing complexity of the heating network. This paper constructed the dynamic modeling of the heating system using standard thermal resistance and obtained a dynamic heat current model of the heating system. On this basis, we analyzed the heat transfer performance of the heating system. Five disturbances are selected, including the behavior of users, indoor heat source, heat exchanger heat transfer performance deterioration, pipe blockage, and pipe leakage. The effects of different disturbances on the overall system and user side water supply temperature were obtained by establishing a dynamic model for segmented heating pipelines. Feasible control methods for the heating network and load side are sorted out, mainly changing the water supply's temperature and the water supply's flow rate to reduce the water supply's fluctuation. Five specific control strategies are proposed for five types of disturbances. Comparing the case without control and the case with control, the results show that the fluctuation of water supply temperature is significantly reduced, and the control strategies can reduce the impact of disturbances on the heat network system and customers and improve the comfort of customers in the presence of disturbances. under the disturbance of pipeline leakage, the method proposed in this article reduces the temperature fluctuation amplitude by 75% and the fluctuation duration by 60%.

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“…Under the assumptions of this paper, the dynamic expression of the temperature of the tube wall in the heat exchange process with time can be derived based on the heat current method 32

{(M{c}_{p})}_{b}\frac{\partial {T}_{b}}{\partial t}=\frac{[{T}_{h}(t)-{T}_{b}(t)]}{{R}_{h}}-\frac{[{T}_{b}(t)-{T}_{c}(t)]}{{R}_{c}},

Section: Dynamic Model Based On Standard Thermal Resistance Methodsmentioning

confidence: 99%

Various disturbances propagation analysis of district heating system based on the standardized thermal resistance method

Chen,

Wang,

Hao

et al. 2023

Energy Science & Engineering

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“…According to the heat current method [16], the heat current model of district heating system is built, which is shown in Fig. 2.…”

Section: Mathematic Model Of a District Heating Systemmentioning

confidence: 99%

“…T cus,i is the temperature vector of heat customer, including indoor air temperature and wall temperature.Ф cus,i is the heat flow vector caused by heat sources, while this work does not consider any heat source inside the buildings. The details of these matrices and vectors could also be found in [16].…”

Section: Mathematic Model Of a District Heating Systemmentioning

confidence: 99%

“…Recently, Chen et al [14,15] proposed a heat current model and deduced the formula of thermal resistance of heat exchanger, which describes nonlinear heat transfer constraints accurately. On the basis, He et al [16] expanded the application of heat current model to heat migration processes in pipelines and the dynamic heat transfer processes in building envelopes, which gives the convenience for analyzing flexible operation of heating system including district heating network and residential buildings.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying Structural Thermal Storage Flexibility of District Heating System Considering Heat Transfer Processes and Migration Delay

Xing¹,

Gou²,

Chen³

et al. 2022

Preprint

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With the growing penetration of RES, more flexibility is required in power system. District heating system with large capacity is able to offer flexibility to power system. Based on the model of a district heating system built by heat current method, this work proposes a quantification method to evaluate the flexibility of district heating system, which is a hybrid algorithm utilizing simulations and dichotomy method. Quantitative indicators including average power shifting capability and available storage capacity are defined to describe the flexibility. The results of case study present the flexibility of system under a general working condition. Then, influence factors are discussed that with the increase of dispatch time and decrease of the time of heat migration delay, the storage capacity of heating network increases.

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“…As the CP unit and furnace are generated pollution emission so it is necessary to analyze this problem. Li et al [23] are applied the robustness and opportunity functions of IGDT to investigate the effect of load and market price uncertainty on the performance of simple hub energy. In [24], stochastic operation of energy hub was reported with considering the uncertain environment and also downside risk restraints to minimize the risk-in-cost where heating market and heat demand response program (DRP) was considered.…”

Section: B Literature Reviewmentioning

confidence: 99%

A CVaR-Robust-Based Multi-Objective Optimization Model for Energy Hub Considering Uncertainty and E-Fuel Energy Storage in Energy and Reserve Markets

et al. 2021

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The increasing demand for energy carriers has expanded the use of energy hubs that employ distributed demand response programs to improve power system reliability and efficiency. Moreover, the unstable behavior of renewable resources, as well as the indeterminate electrical and thermal demands, create major problems for energy hub operation. Inspired by this, this paper presents a day-ahead scheduling framework for energy hubs (EH) in energy and reserve markets considering two main objectives of economy and pollution emission. The studied energy hub consists of a novel hybrid energy storage facility based on a fuel cell, wind power, photovoltaic energy, and a particular fuel cell unit in the presence of elastic demand. This multi-component system participates in energy and reserve markets as a single entity to optimize energy hub operation. The proposed method also models the uncertainty of wind speed, photovoltaic irradiance, and load using the Mont-Carlo method. The energy hub risk level is analyzed using the conditional value at risk (CVaR) approach to increase the EH operation and efficiency. The proposed multi-objective energy hub model is solved using the MINLP method in General Algebraic Modeling System (GAMS) to minimize operation cost and pollution emission. Finally, to prove the effectiveness of adding a new E-fuel energy storage system and considering uncertainties on energy hub operation, the proposed method is compared with other reported models.

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An isomorphic multi-energy flow modeling for integrated power and thermal system considering nonlinear heat transfer constraint

Cited by 31 publications

References 18 publications

Various disturbances propagation analysis of district heating system based on the standardized thermal resistance method

Various disturbances propagation analysis of district heating system based on the standardized thermal resistance method

Quantifying Structural Thermal Storage Flexibility of District Heating System Considering Heat Transfer Processes and Migration Delay

A CVaR-Robust-Based Multi-Objective Optimization Model for Energy Hub Considering Uncertainty and E-Fuel Energy Storage in Energy and Reserve Markets

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