Identification of a control-oriented energy model for a system of fan coil units

Martinčević, Anita; Vašak, Mario; Lešić, Vinko

doi:10.1016/j.conengprac.2019.07.018

Cited by 12 publications

(6 citation statements)

References 36 publications

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“…As shown in Table 1 , the authors who have used the physics-based approach for FDD in HVAC systems have focused their research on developing simulations using specialized software [ 25 , 26 , 27 , 28 , 29 , 30 ]. In particular, detailed physical white-box models were analyzed in [ 25 , 26 , 27 ].…”

Section: Results Part I: Review and New Classification Of Fdd Approac...mentioning

confidence: 99%

A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems

Matetić

Štajduhar

Wolf

et al. 2022

Sensors

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Heating, ventilation, and air conditioning (HVAC) systems are a popular research topic because buildings’ energy is mostly used for heating and/or cooling. These systems heavily rely on sensory measurements and typically make an integral part of the smart building concept. As such, they require the implementation of fault detection and diagnosis (FDD) methodologies, which should assist users in maintaining comfort while consuming minimal energy. Despite the fact that FDD approaches are a well-researched subject, not just for improving the operation of HVAC systems but also for a wider range of systems in industrial processes, there is a lack of application in commercial buildings due to their complexity and low transferability. The aim of this review paper is to present and systematize cutting-edge FDD methodologies, encompassing approaches and special techniques that can be applied in HVAC systems, as well as to provide best-practice heuristics for researchers and solution developers in this domain. While the literature analysis targets the FDD perspective, the main focus is put on the data-driven approach, which covers commonly used models and data pre-processing techniques in the field. Data-driven techniques and FDD solutions based on them, which are most commonly used in recent HVAC research, form the backbone of our study, while alternative FDD approaches are also presented and classified to properly contextualize and round out the review.

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Section: Results Part I: Review and New Classification Of Fdd Approac...mentioning

confidence: 99%

A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems

Matetić

Štajduhar

Wolf

et al. 2022

Sensors

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show abstract

“…Для підвищення ефективності робити систем забезпечення будівлі потрібно узгоджувати роботу різного виду обладнання. Розробка математичних моделей функціональних елементів систем опалення, вентиляції та кондиціювання (ОВКП) дозволяє впроваджувати складніші алгоритми керування обладнання для забезпечення оптимальних параметрів мікроклімату [2,3]. Також моделі можуть використовуватися для проведення аналітики, розробки цифрових двійників компонентів інженерних систем тощо.…”

Section: вступunclassified

Mathematical Modeling of the Fan Coil Temperature Behavior

Zakharchenko¹,

Stepanets²

2022

Вісник НТУ "ХПІ"

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Fan coils are widely used in heating and air conditioning systems in both residential buildings and commercial areas. This article deals with the creation of a mathematical model of the fan coil for use in control systems, building digital twins, etc. The development of models of components of building engineering systems contributes to the introduction of more sophisticated control algorithms and analytics to coordinate the operation of equipment and as a result improve the energy efficiency of systems, the ability to investigate the dynamics of systems, etc. In this paper, a system of heat balance equations for the water, air and walls of the heat exchanger was used, which allows for simulating the operation of the system in transient modes. Considerable attention was paid to the calculation of the coolant and air parameters, including specific heat capacity, heat transfer coefficients, water and air thermal conductivity, kinematic viscosity coefficients, density, etc. The use of dynamic calculation of the coolant and air characteristics was proposed, an algorithm using the Python programming language and the CoolProp, SciPy, and NumPy libraries were implemented, and simulation results were presented. To assess the effectiveness of the proposed solutions, an analysis of the simulation results for the system with constant values of the coolant and air parameters, determined from the averaged initial values of the input and output parameters of the model, compared to the system with dynamic calculation, was performed. Finally, we investigated the dynamics of the external factor influence on the simulation results and presented an analysis of the influence of the model input variables on the output temperature values due to implicit relationships in the calculation of the parameters characterizing the heat transfer fluid and the air in the fan coil. According to the results of the comparison, the deviations in the simulation results of the models under study were estimated for the calculated value of heat output on the air side in absolute and relative units.

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“…where u z min ∈ R N •n z u and u z max ∈ R N •n z u are minimum and maximum attainable thermal powers along the prediction horizon, dependent on the current and planned central HVAC system level operation and temperatures within zones [26]. The final optimization problem for energy-saving and comfortable zone temperature control, written in a compact form, is as follows:…”

Section: A Zones Level Optimal Control For High Comfort Demandsmentioning

confidence: 99%

Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings

Vašak

Banjac

Hure

et al. 2021

IEEE Trans. Energy Convers.

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Modular building energy management strategy based on a three-level hierarchical model predictive control is proposed in the paper. Building zones, central medium conditioning and microgrid subsystems are controlled independently by individual linear and nonlinear model predictive controllers, and further integrated together as levels of hierarchical coordination control structure based on price-consumption information exchange. The three-level coordination provides a holistic energy management strategy and enables significant demand response ancillary services for buildings as prosumers, while retaining the independence of required expertise in very different building subsystems. The approach is applied for daily operation scheduling of a full-scale building consisting of 248 offices. Models of building subsystems are obtained by identification procedures on measurement data. Compared to rule-based control, detailed realistic simulations show that the overall building operation cost for typical days in summer is reduced by 9-12% for level-by-level energy-optimal and by 15-24% for price-optimal, coordinated operation. The application of predictive control in the proposed way also improves the indoor comfort substantially.

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Identification of a control-oriented energy model for a system of fan coil units

Cited by 12 publications

References 36 publications

A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems

A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems

Mathematical Modeling of the Fan Coil Temperature Behavior

Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings

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