Dynamic simulation and control of the heat supply system of a civic building with thermal energy storage units

Cruz-Loredo, Iván De la; Ugalde‐Loo, Carlos E.; Abeysekera, Muditha

doi:10.1049/gtd2.12453

Cited by 5 publications

(6 citation statements)

References 40 publications

(58 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The emphasis on steady-state methodologies has overlooked the need for dynamic verification of optimal solutions. Recent references in this context have discussed integrating low-carbon energy solutions into an IES to decarbonise the energy sector (de la Cruz Loredo et al, 2022a;2022b), where emphasis was placed on the need to transition from steady-state to dynamic analysis due to the complex interactions within IESs. A methodology for validating optimised operation strategies in IESs through simulation platforms was presented in (Chen et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

“…These equations include both the hydraulic characteristics, which detail the fluid flow, and the thermal attributes, which describe the temperature propagation. Valves, pipes, heat exchangers, hydraulic pumps, hydraulic separators, and energy storage tanks are typical elements considered in these models (De la Cruz-Loredo et al, 2022b).…”

Section: Dynamic Modelmentioning

confidence: 99%

“…This sensible heat TES system is connected at the bottom to the return pipeline of the main loop and at the top to the boiler loop, after the GB in HZ1, for charging purposes. To avoid any disturbance to the supply temperature in the boiler loop, the TES system discharges immediately before the GB in HZ1 (De la Cruz-Loredo et al, 2022b).…”

Section: System Descriptionmentioning

confidence: 99%

“…However, representation of the electricity system, for simplicity, was limited to reproduce the energy balance between supply and demand based on real historical data. The dynamic model was implemented in Apros using available library models (de la Cruz Loredo et al, 2022a;2022b).…”

Section: Dynamic Modelling For the System Under Studymentioning

confidence: 99%

“…Based on the dimensions of hot water tanks available in the market and considering the supply and return temperatures of the IES under study (de la Cruz Loredo et al, 2022b;Refrigeration Technology Co. Ltd, 2023), the capacity of the TES system used in this paper was selected as 1,000 kWh (Majić et al, 2013) *THZ,ret is the return temperature setpoint for all the HZs, except for HZ3.…”

Section: Optimisation Modulementioning

confidence: 99%

See 4 more Smart Citations

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.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Dynamic Modelmentioning

confidence: 99%

Section: System Descriptionmentioning

confidence: 99%

Section: Dynamic Modelling For the System Under Studymentioning

confidence: 99%

Section: Optimisation Modulementioning

confidence: 99%

See 3 more Smart Citations