Economic MPC based on LPV model for thermostatically controlled loads

Zemtsov, Nikita; Hlava, Jaroslav; Frantsuzova, G. A.; Madsen, Henrik; Junker, Rune Grønborg; Jørgensen, John Bagterp

doi:10.1109/sibcon.2017.7998560

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…Comfort level threshold is assumed to be 98%, which means that maximum acceptable violation from the water temperature limits is 2% of the all time intervals during the contract periods. The SPHS parameters are defined in Table 3 [30]. The simulation results for occupation pattern (𝑎) of Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…According to Fig. 1 and the proposed method by Zemtsov et al in [30], these dynamics can be modeled by two differential equations. The first equation represents the power balance in the heat exchange and is formulated as below:…”

Section: Step 1: Optimal Sphs's Operation Formulationmentioning

confidence: 99%

“…( 12), we can formulate the future states over the next 𝑁 time intervals, as shown in Eqs. ( 13)-(15) [30]: ] 𝑇 (17) we can recast the above equations into the following linear equality constraints:…”

Section: 𝑣 𝑖 𝑡𝑠 𝑎 𝑠 𝑏 …𝑠 𝑧mentioning

confidence: 99%

See 2 more Smart Citations

A stochastic methodology to exploit maximum flexibility of swimming pool heating systems

Banaei

D’Ettorre²,

Ebrahimy³

et al. 2023

International Journal of Electrical Power & Energy Systems

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Step 1: Optimal Sphs's Operation Formulationmentioning

confidence: 99%

See 1 more Smart Citation

A stochastic methodology to exploit maximum flexibility of swimming pool heating systems

Banaei

D’Ettorre²,

Ebrahimy³

et al. 2023

International Journal of Electrical Power & Energy Systems

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“…This improvement was due to the successful task of maximizing the applied solar energy into the system. The concept of predictive control is especially suited for making the system operate with an economically optimal regime, where the heat supply can be directed to periods with high electricity charges (Zemtsov et al, 2017).…”

Section: The Design Phasementioning

confidence: 99%

Systematic and data-driven literature review of the energy and indoor environmental performance of swimming facilities

et al. 2021

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During the last few decades, focus on measures for energy conservation in buildings has increased considerably. The European Commission implemented the Energy Performance of Buildings Directive, which gave instructions to the member states about how to reduce energy consumption in residential and non-residential buildings. In the process of making the building sector more energy efficient, the building codes generally have become stricter with some simplifications applied in the requirements. For swimming facilities in Norway, these simplifications are undermining the purpose of the code by excluding the energy use related to the operation of swimming pools, which is the main part of the energy use in this building category. In other words, the energy use related to operation of the facility is not regulated. Furthermore, guidelines for the planning and operation of these types of facilities are outdated and research for this building category is sparse. These three aspects mean that there is a considerable potential for improvement. This paper presents a comprehensive literature review with bibliometric and thematic analyses of the contextualized research in swimming facilities from a heating, ventilation, and air-conditioning perspective. It maps the major trends during the past few decades, where areas like solar heating for outdoor pools, energy consumption, and air quality stand out. Except for air quality and disinfection by-products, research on these facilities is highly fragmented without any strong contributors to the various fields. Graphical abstract

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“…They rely on scheduling methods to reduce the average temperature in order to make savings (decreasing the average temperature can save up to 7% energy demand per degree [5]). They are based on static [6] or dynamics temperature [7], [8] scheduling methods to update the setpoint according to demand.…”

Section: Introductionmentioning

confidence: 99%

Operating data of a specific Aquatic Center as a Benchmark for dynamic model learning: search for a valid prediction model over an 8-hour horizon

Gauthier-Clerc,

Capitaine,

Claveau

et al. 2023

2023 European Control Conference (ECC)

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This article presents an identification benchmark based on data from a public swimming pool in operation. Such a system is both a complex process and easily understandable by all with regard to the stakes. Ultimately, the objective is to reduce the energy bill while maintaining the level of quality of service. This objective is general in scope and is not limited to public swimming pools. This can be done effectively through what is known as economic predictive control. This type of advanced control is based on a process model. It is the aim of this article and the considered benchmark to show that such a dynamic model can be obtained from operating data. For this, operational data is formatted and shared, and model quality indicators are proposed. On this basis, the first identification results illustrate the results obtained by a linear multivariable model on the one hand, and by a neural dynamic model on the other hand. The benchmark calls for other proposals and results from control and data scientists for comparison.

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Economic MPC based on LPV model for thermostatically controlled loads

Cited by 5 publications

References 14 publications

A stochastic methodology to exploit maximum flexibility of swimming pool heating systems

A stochastic methodology to exploit maximum flexibility of swimming pool heating systems

Systematic and data-driven literature review of the energy and indoor environmental performance of swimming facilities

Operating data of a specific Aquatic Center as a Benchmark for dynamic model learning: search for a valid prediction model over an 8-hour horizon

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