A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model

Journal of Building Engineering, Год журнала: 2024, Номер 94, С. 110013 - 110013

Опубликована: Июнь 21, 2024

Язык: Английский

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Model predictive control for demand flexibility of a residential building with multiple distributed energy resources

Energy and Buildings, Год журнала: 2024, Номер 305, С. 113884 - 113884

Опубликована: Янв. 5, 2024

Язык: Английский

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Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast uncertainty

Applied Energy, Год журнала: 2024, Номер 371, С. 123652 - 123652

Опубликована: Июнь 12, 2024

Язык: Английский

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Real-time techno-economical operation of preserving microgrids via optimal NLMPC considering uncertainties

Engineering Science and Technology an International Journal, Год журнала: 2024, Номер 57, С. 101823 - 101823

Опубликована: Сен. 1, 2024

In the modern era, managing optimal real-time control of microgrids during operation phase has been a significant challenge, requiring careful consideration both technical and economic factors. This paper introduces framework for islanded using preserving network. structure incorporates various distributed generation sources, including rotating non-rotating resources, along with energy storage systems. The optimization function within model predictive (MPC) manages essential network parameters, such as frequency voltage, while addressing objectives. To enhance precision account uncertainties in consumption integration continuous power flow is employed. approach aims to create that closely mirrors real-world conditions, ensuring more accurate representation microgrid dynamics. proposed demonstrates improvements performance compared Standard MPC Adaptive MPC, highlighting its potential efficient management. achieves notable reductions total voltage deviation 85.87% 87.62% respectively. Additionally, it delivers impressive enhancements 99.46% 96.62% Economically, significantly outperforms both, reducing costs by 39.29% 28.12% MPC.

Язык: Английский

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Forecasts Plus Assessments of Renewable Generation Performance, the Effect of Earth’s Geographic Location on Solar and Wind Generation

Applied Sciences, Год журнала: 2025, Номер 15(3), С. 1450 - 1450

Опубликована: Янв. 31, 2025

Solar and wind resources are critical for the global transition to net-zero emission energy systems. However, their variability unpredictability pose challenges system reliability, often requiring fossil fuel-based backups or storage solutions. The mismatch between renewable generation electricity demand necessitates analytical methods ensure a reliable transition. Sole reliance on single-year data is insufficient, as it does not account interannual extreme conditions. This paper explores probabilistic modeling solution more accurately assess availability. A 22-year dataset used generate synthetic solar irradiance, speed, temperature, modeled using statistical probability distributions. Monte Carlo simulations, run 93 times, achieve 95% confidence levels, providing assessments of potential. analysis finds that during Dunkelflaute periods, in high-solar high-wind areas, DF events average 20 h worst case, while low-resource regions may experience periods lasting up 48 h. Optimal mixes these should include 15–20% interconnections neighboring areas. Therefore, stochastic consideration geographic differentiation essential analyses address differences resilient system.

Язык: Английский

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Efficient energy management and temperature control of a high-tech greenhouse using an improved data-driven model predictive control

Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100939 - 100939

Опубликована: Фев. 1, 2025

Язык: Английский

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Energy optimization algorithms for multi-residential buildings: A model predictive control application

Energy and Buildings, Год журнала: 2024, Номер 319, С. 114562 - 114562

Опубликована: Июль 17, 2024

Язык: Английский

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Quantifying the impact of building load forecasts on optimizing energy storage systems

Energy and Buildings, Год журнала: 2024, Номер 307, С. 113913 - 113913

Опубликована: Янв. 26, 2024

Язык: Английский

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Advancing waste heat potential assessment for net-zero emissions: A review of demand-based thermal energy systems

Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 202, С. 114693 - 114693

Опубликована: Июнь 22, 2024

Язык: Английский

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Resilient energy management of a multi-energy building under low-temperature district heating: A deep reinforcement learning approach

Applied Energy, Год журнала: 2024, Номер 378, С. 124780 - 124780

Опубликована: Ноя. 5, 2024

Язык: Английский

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