Thermal dynamic modeling and simulation of a heating system for a multi-zone office building equipped with demand controlled ventilation using MATLAB/Simulink

Behravan, Ali; Obermaisser, Roman; Nasari, Amirbahador

doi:10.1109/cirsyssim.2017.8023191

Cited by 19 publications

(11 citation statements)

References 7 publications

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“…[24,25] and model the thermal dynamics of a heating system within a building, while avoiding direct simulation of a boiler. The heating source is designated as either a lumped model [24], or a heat source adjusted according to the necessary heat output required to achieve a temperature setpoint [25]. Another study [26] utilizes Simscape to model the performance of a boiler within a multizone residential building.…”

Section: Model-based Approachesmentioning

confidence: 99%

Fault detection for non-condensing boilers using simulated building automation system sensor data

Shohet

Kandil

Wang

et al. 2020

Advanced Engineering Informatics

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Section: Model-based Approachesmentioning

confidence: 99%

Fault detection for non-condensing boilers using simulated building automation system sensor data

Shohet

Kandil

Wang

et al. 2020

Advanced Engineering Informatics

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“…Thermal dynamic modeling and simulation of a heating system for a multi-zone office building equipped with demand controlled ventilation using MATLAB/Simulink is presented in the paper [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Simulation of Heat Transfer through External Building Constructions

Mižáková¹,

Khovanskyi²,

Pavlenko³

et al. 2019

JES

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In the paper, some approaches to dynamic modeling of heat transfer through external building constructions are presented. The model of heat transfer dynamics through a wall was designed on the base of mathematical describing of an energy balance for the elementary layer of a plane wall. The wall was considered as a continuum with continuously distributed thermal resistance and capacity. Based on the designed analytical mathematical model, a simulation model in MATLAB/Simulink environment was developed. These dynamic models of heat transfer through the wall with real materials parameters and also through the window with real thermal parameters were simulated and some simulation results are presented in the paper.

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“…In recent years, various studies have been conducted on the AC functionality and thermal comfort, mostly for buildings [1] or passenger cars [2,3,4,5], while very little research has been published on buses [6,7,8]. On top of that, these studies can be categorized into two main groups based on whether the emphasis is on the cooling system or just indoor space.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modelling and Performance Prediction of a Multi-unit Baseline Air Conditioning System for a Generic Bus under Part-Load Conditions

Afrasiabian¹,

Douglas²,

Best³

2021

SAE Int. J. Commer. Veh.

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A dynamic model of a multi-unit air conditioning system in a generic bus was developed to investigate different control strategies on the system performance and the cabin comfort level. In this study, a part-load condition was considered, where adopting a proper strategy for governing a multi-unit system is important. Simulink and Simscape toolbox from MATLAB (R2019a) were used to build up the real-time model by integrating a cooling system with a cabin sub-model. The cooling system consists of two independently controlled units, based on a Vapour Compression Cycle (VCC). The cabin is modelled using a moisture air network and is coupled with the cooling system to exchange heat with the refrigerant through the evaporators. Moreover, the sensible and latent loads are incorporated into the cabin by a thermal network. Six different strategies were implemented using different criteria, to investigate the average power and COP (Coefficient of Performance) under a part-load condition. The comfort level was obtained in terms of the Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) indices. Results are suggestive of a link between the implemented control strategy of a multi-unit AC system and its performance. Results showed that five out of the six proposed strategies might be chosen, depending on the adopted trade-off policy between the comfort level and the system energy demand. In this way, the numerical approach introduced here along with the combination of the presented findings, provide a good support for the decision-making on thermal management inside the cabin, based on the energy consumption and the thermal comfort level.

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Thermal dynamic modeling and simulation of a heating system for a multi-zone office building equipped with demand controlled ventilation using MATLAB/Simulink

Cited by 19 publications

References 7 publications

Fault detection for non-condensing boilers using simulated building automation system sensor data

Fault detection for non-condensing boilers using simulated building automation system sensor data

Dynamic Simulation of Heat Transfer through External Building Constructions

Dynamic Modelling and Performance Prediction of a Multi-unit Baseline Air Conditioning System for a Generic Bus under Part-Load Conditions

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