Design and verification of an effective state‐of‐charge estimator for thermal energy storage

Sandoval, Daniel Morales; Loredo, Ivan De la Cruz; Bastida, Héctor; Badman, Jordan; Ugalde‐Loo, Carlos E.

doi:10.1049/stg2.12024

Cited by 10 publications

(3 citation statements)

References 35 publications

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“…The connection between the two software platforms was achieved through the utilisation of an open platform communications (OPC) protocol, which is available in both MATLAB and Apros (OPC foundation, 2024). Such a cosimulation architecture has been successfully adopted in the literature (Morales Sandoval et al, 2021;de la Cruz Loredo et al, 2022a, 2022bBastida et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

Dynamic verification of an optimisation algorithm for power dispatch of integrated energy systems

Morales Sandoval,

De La Cruz-Loredo,

Saikia

et al. 2024

Front. Energy Res.

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The urgent need to achieve net-zero carbon emissions by 2050 has led to a growing focus on innovative approaches to producing, storing, and consuming energy. Integrated energy systems (IES) have emerged as a promising solution, capitalising on synergies between energy networks and enhancing efficiency. Such a holistic approach enables the integration of renewable energy sources and flexibility provision from one energy network to another, reducing emissions while facilitating strategies for operational optimisation of energy systems. However, emphasis has been mostly made on steady-state methodologies, with a dynamic verification of the optimal solutions not given sufficient attention. To contribute towards bridging this research gap, a methodology to verify the outcomes of an optimisation algorithm is presented in this paper. The methodology has been applied to assess the operation of a civic building in the UK dedicated to health services. This has been done making use of real energy demand data. Optimisation is aimed at improving power dispatch of the energy system by minimising operational costs and carbon emissions. To quantify potential discrepancies in power flows and operational costs obtained from the optimisation, a dynamic model of the IES that better captures real-world system operation is employed. By incorporating slow transients of thermal systems, control loops, and non-linearity of components in the dynamic model, often overlooked in traditional optimisation modules, the methodology provides a more accurate assessment of energy consumption and operational costs. The effectiveness of the methodology is assessed through model-in-the-loop co-simulations between MATLAB/Simulink and Apros alongside a series of scenarios. Results indicate significant discrepancies in power flows and operational costs between the optimisation and the dynamic model. These findings illustrate potential limitations of conventional operational optimisation modules in addressing real-world complexities, emphasising the significance of dynamic verification methods for informed energy management and decision-planning.

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Section: Methodsmentioning

confidence: 99%

Dynamic verification of an optimisation algorithm for power dispatch of integrated energy systems

Morales Sandoval,

De La Cruz-Loredo,

Saikia

et al. 2024

Front. Energy Res.

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“…Verification of the model with a complete experimental charging setup of the tank would provide further confidence in the modelling approach adopted in the paper. This can be complemented with an estimation of the state‐of‐charge of the tank as in [46].…”

Section: On the Limitations Of The Presented Modelmentioning

confidence: 99%

Dynamic modelling of ice‐based thermal energy storage for cooling applications

Bastida

Ugalde‐Loo

Abeysekera

et al. 2022

IET Energy Syst Integration

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The development of accurate dynamic models of thermal energy storage (TES) units is important for their effective operation within cooling systems. This paper presents a one‐dimensional discretised dynamic model of an ice‐based TES tank. Simplicity and portability are key attributes of the presented model as they enable its implementation in any programing language which would, in turn, facilitate the simulation and analysis of complex cooling systems. The model considers three main components: energy balance, definition of the specific heat curve, and calculation of the overall heat transfer coefficient. An advantage of the model is that it can be adapted to other types of TES units employing phase change materials. The modelling approach assumes equal flow and temperature distribution in the tank and considers two internal tubes only to represent the whole tank—significantly reducing the number of equations required and thus the computation time. Thermophysical properties of water during the phase change and of the heat transfer fluid are captured. The ice‐based TES tank model has been implemented in MATLAB/Simulink. A good agreement between simulation results and experimental data available in the literature has been achieved—providing confidence in the validity of the mathematical model.

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“…Papers [1–3] of this Special Issue are in this category. Paper [1] by Daniel Morales et al., introduces a model‐based observer for the calculation of the SoC of water‐based Thermal Energy Storage system for district heating and cooling systems (DHCS) that acts as a buffer between supply and demand schedules. A dynamic model of a one‐dimensional stratified water tank is adopted to develop the observer.…”

Section: Technology‐related Aspects Of Energy Storage Systemsmentioning

confidence: 99%

Guest Editorial: On the role of energy storage systems in the grid of the future: Selected papers from the 2019 UK Energy Storage Conference

et al. 2021

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Design and verification of an effective state‐of‐charge estimator for thermal energy storage

Cited by 10 publications

References 35 publications

Dynamic verification of an optimisation algorithm for power dispatch of integrated energy systems

Dynamic verification of an optimisation algorithm for power dispatch of integrated energy systems

Dynamic modelling of ice‐based thermal energy storage for cooling applications

Guest Editorial: On the role of energy storage systems in the grid of the future: Selected papers from the 2019 UK Energy Storage Conference

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