Increasing electrical reserve provision in districts by exploiting energy flexibility of buildings with robust model predictive control

Bünning, Felix; Heer, Philipp; Smith, Roy S.; Lygeros, John

doi:10.1016/j.adapen.2023.100130

Cited by 12 publications

(3 citation statements)

References 65 publications

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“…In the presence of uncertainty, it maintains Any HVAC system Computation complexity, turning complexity, [95,96] Figure 10. Factors affecting MPC performance [94].…”

Section: Robustness To Uncertainties and Disturbancesmentioning

confidence: 99%

“…The proposed strategy is evaluated in a dynamic simulation environment of a variable air volume in an air-conditioning system in various operation conditions, and the robustness analysis of both strategies is also presented [95]. Reference [96] presents a two-level control scheme based on robust model predictive control (RMPC) to offer frequency reserves with a district heating and cooling system. It takes advantage of the thermal inertia of buffer storage tanks and a subset of connected buildings with electric heating and cooling systems.…”

Section: Robustness To Uncertainties and Disturbancesmentioning

confidence: 99%

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Balancing Sustainability and Comfort: A Holistic Study of Building Control Strategies That Meet the Global Standards for Efficiency and Thermal Comfort

Azzi,

Tabaa,

Chegari

et al. 2024

Sustainability

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The objective of energy transition is to convert the worldwide energy sector from using fossil fuels to using sources that do not emit carbon by the end of the current century. In order to achieve sustainability in the construction of energy-positive buildings, it is crucial to employ novel approaches to reduce reliance on fossil fuels. Hence, it is essential to develop buildings with very efficient structures to promote sustainable energy practices and minimize the environmental impact. Our aims were to shed some light on the standards, building modeling strategies, and recent advances regarding the methods of control utilized in the building sector and to pinpoint the areas for improvement in the methods of control in buildings in hopes of giving future scholars a clearer understanding of the issues that need to be addressed. Accordingly, we focused on recent works that handle methods of control in buildings, which we filtered based on their approaches and relevance to the subject at hand. Furthermore, we ran a critical analysis of the reviewed works. Our work proves that model predictive control (MPC) is the most commonly used among other methods in combination with AI. However, it still faces some challenges, especially regarding its complexity.

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“…In the presence of uncertainty, it maintains Any HVAC system Computation complexity, turning complexity, [95,96] Figure 10. Factors affecting MPC performance [94].…”

Section: Robustness To Uncertainties and Disturbancesmentioning

confidence: 99%

Section: Robustness To Uncertainties and Disturbancesmentioning

confidence: 99%

Balancing Sustainability and Comfort: A Holistic Study of Building Control Strategies That Meet the Global Standards for Efficiency and Thermal Comfort

Azzi,

Tabaa,

Chegari

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…an energy system based on gas and electricity. Similarly, in [8], a two-level control scheme based on RMPC to offer frequency reserves for an energy district was proposed. To overcome the challenge of physical modeling, a data-driven model was leveraged.…”

Section: Introductionmentioning

confidence: 99%

Reinforcement Learning for an Enhanced Energy Flexibility Controller Incorporating Predictive Safety Filter and Adaptive Policy Updates

Paesschesoone,

Kayedpour,

Manna

et al. 2024

Preprint

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Advances in model predictive control for large-scale wind power integration in power systems

Lu,

Zhang,

et al. 2024

Advances in Applied Energy

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Increasing electrical reserve provision in districts by exploiting energy flexibility of buildings with robust model predictive control

Cited by 12 publications

References 65 publications

Balancing Sustainability and Comfort: A Holistic Study of Building Control Strategies That Meet the Global Standards for Efficiency and Thermal Comfort

Balancing Sustainability and Comfort: A Holistic Study of Building Control Strategies That Meet the Global Standards for Efficiency and Thermal Comfort

Reinforcement Learning for an Enhanced Energy Flexibility Controller Incorporating Predictive Safety Filter and Adaptive Policy Updates

Advances in model predictive control for large-scale wind power integration in power systems

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