Performance of a dynamic distributed element heat emitter model embedded into a third order lumped parameter building model

Fong, Joshua; Edge, Jerry; Underwood, Chris; Tindale, Andy; Potter, Steve

doi:10.1016/j.applthermaleng.2015.01.067

Cited by 8 publications

(8 citation statements)

References 17 publications

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“…The results presented here are based on the modelling procedure described in [12] to enable the study of energy consumption in heating systems. A case study was modelled in order to demonstrate the full capabilities and functionalities of the new method.…”

Section: Discussionmentioning

confidence: 99%

“…Previous research [12] successfully developed a user-friendly, dynamic heat emitter model that has achieved improved results when compared to commercially available tools, such as IES and EnergyPlus. This research expands on previous work to inform sustainability engineers and modelers of the energy performance of alternative heating systems and showcases a range of control strategies available.…”

Section: Modelling Of Hvac Systems and Controlsmentioning

confidence: 99%

“…The difference in heating energy profile is governed by the response time of the emitter (i.e., thermal capacity) in which a lesser amount of energy is required by the fast responding radiator and a larger amount of energy is required to overcome the thermally-heavy underfloor heating system. In addition to the mathematical representation for each of the control strategies in previous work by Fong et al [12], the table below (Table 5) summarizes the advantages and disadvantages for each of the strategies based on energy consumption. …”

Section: Energy Consumption By Primary Plantmentioning

confidence: 99%

“…The flow temperature serves as a feedback input to ensure the required temperature is met. The flow temperature, which varies between the design water temperature and minimum flow water temperature, is linearly proportional to the design external dry bulb temperature (typically,´3˝C) and a balance point temperature [12], shown in Equation (2). The balance point temperature refers to an external temperature, typically 15-20˝C dry bulb temperature, where heating is no longer required [15].…”

Section: Variable Temperaturementioning

confidence: 99%

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Application of a New Dynamic Heating System Model Using a Range of Common Control Strategies

et al. 2016

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This research investigates the overall heating energy consumptions using various control strategies, secondary heat emitters, and primary plant for a building. Previous research has successfully demonstrated that a dynamic distributed heat emitter model embedded within a simplified third-order lumped parameter building model is capable of achieving improved results when compared to other commercially available modelling tools. With the enhanced ability to capture transient effects of emitter thermal capacity, this research studies the influence of control strategies and primary plant configurations on the rate of energy consumption of a heating system. Four alternative control strategies are investigated: zone feedback; weather-compensated; a combination of both of these methods; and thermostatic control. The plant alternative configurations consist of conventional boilers, biomass boilers, and heat pumps supporting radiator heating and underfloor heating. The performance of the model is tested on a primary school building and can be applied to any residential or commercial building with a heating system. Results show that the new methods reported offer greater detail and rigor in the conduct of building energy modelling.

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Section: Discussionmentioning

confidence: 99%

Section: Modelling Of Hvac Systems and Controlsmentioning

confidence: 99%

Section: Energy Consumption By Primary Plantmentioning

confidence: 99%

Section: Variable Temperaturementioning

confidence: 99%

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Application of a New Dynamic Heating System Model Using a Range of Common Control Strategies

et al. 2016

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“…A key issue is the choice of the number of modelling zones, N, which will tend to vary from application to application. Further consideration will be given to this in an application case study in the next Section and for a detailed treatment of this applied to room heat emitters, see Fong et al (2015).…”

Section: (1819)mentioning

confidence: 99%

Modelling HVAC and renewable energy plant and control

Underwood¹,

Rees²

2019

Building Performance Simulation for Design and Operation

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The chapter firstly presents an introduction to modern approaches to both steadystate and dynamic modelling of HVAC and related plant components and systems. Approaches to representations of components such as waterair heat exchangers are dealt with along with their representation in systems that include control elements are described. Common approaches to solving the resulting equations are also presented. A series of simulation casestudies are provided to illustrate the application of the methods. The chapter also presents examples of approaches to modelling the key components of a number of renewable energy systems that can be found integrated in buildings. Learning outcomes To be able to describe approaches to the modelling of HVAC, plant and renewable energy systems and their key components and how they can be represented mathematically and possible solution approaches. To be able to describe the data requirements of such modelling approaches and to execute calculations to find the state of example component models.

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Hydronic design of cogeneration in collective residential heating systems: state-of-the-art, comparison and improvements

Riet

Janssen

Steenackers

et al. 2019

Applied Thermal Engineering

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Performance of a dynamic distributed element heat emitter model embedded into a third order lumped parameter building model

Cited by 8 publications

References 17 publications

Application of a New Dynamic Heating System Model Using a Range of Common Control Strategies

Application of a New Dynamic Heating System Model Using a Range of Common Control Strategies

Modelling HVAC and renewable energy plant and control

Hydronic design of cogeneration in collective residential heating systems: state-of-the-art, comparison and improvements

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