Fuzzy multivariable control of domestic heat pumps

Underwood, Chris

doi:10.1016/j.applthermaleng.2015.07.068

Cited by 20 publications

(8 citation statements)

References 12 publications

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“…None of these details have been included in the model reported here but they have been reported extensively elsewhere (e.g. [21]). In summary, the model reported here will be most suited to application in which the heat pump capacity is well matched to the heating demand throughout the operating cycle.…”

Section: Discussionmentioning

confidence: 99%

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Parametric modelling of domestic air-source heat pumps

Underwood

Royapoor

Sturm

2017

Energy and Buildings

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A new domestic air-source heat pump model is proposed which can be parameterised either from field data, experimental data or manufacturers' standard rating data. The model differs from the much more prevalent system-side regression models for these types of heat pumps in that it operates on refrigerant-side variables. This makes it more suited to detailed performance analyses of heat pumps in service. Because both field data and manufacturers' data can be used for parameterising the model, it can be used to investigate problems associated with the building performance gap where a heat pump is used. A new type of efficiency-based compressor model is developed which enables compressor performance to be directly compared with alternatives and a model of defrosting is included by introducing a new defrost discounting term. Results tested using data from a field monitoring site and from a laboratory installation show good predictive behaviour by the model especially at low source air temperatures. When the model is fitted using manufacturer's standard rating data, a performance gap is evident when compared with the model fitted to field data but the gap is generally nominal.

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Section: Discussionmentioning

confidence: 99%

“…The refrigerant properties were obtained using NIST REFPROP 8 [20] by direct interpolation as described in [21]. The target heat pump heat output (condenser load) can now be found:…”

Section: T T Tmentioning

confidence: 99%

Parametric modelling of domestic air-source heat pumps

Underwood

Royapoor

Sturm

2017

Energy and Buildings

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“…Fuzzy systems have been used in different applications for controlling chemical processes [28][29][30]. Researchers also used fuzzy logic controller coupled with an optimal control in an exothermic chemical reaction [31], a batch polymerization reactor [32] and polymerization processes [33].…”

Section: Application Of Neural Network In Chemical Process Controlmentioning

confidence: 99%

Application of AI in Chemical Engineering

Hajjar¹,

Tayyebi²,

EghbalAhmadi³

2018

Artificial Intelligence - Emerging Trends and Applications

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A major shortcoming of traditional strategies is the fact that solving chemical engineering problems due to the highly nonlinear behavior of chemical processes is often impossible or very difficult. Today, artificial intelligence (AI) techniques are becoming useful due to simple implementation, easy designing, generality, robustness and flexibility. The AI includes various branches, namely, artificial neural network, fuzzy logic, genetic algorithm, expert systems and hybrid systems. They have been widely used in various applications of the chemical engineering field including modeling, process control, classification, fault detection and diagnosis. In this chapter, the capabilities of AI are investigated in various chemical engineering fields.

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“…This basic control strategy is compared to that widely used in other types of chillers based on switching the solution pump between ON and OFF operation (C.P. Underwood, 2015), and presented in Section 7.…”

Section: Basic Fuzzy Logic Control Strategymentioning

confidence: 99%

Control Strategy Approach Based on the Operational Results of a Small Capacity Direct Air-Cooled Libr-Water Absorption Chiller

Baulenas¹,

González²,

Papakokkinos³

et al. 2017

Proceedings of SWC2017/SHC2017

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The scope of this paper is to give a short overview of the state of the art regarding control strategies, identify the role of different operating conditions, and provide useful suggestions for the design and operation of a solar assisted absorption cooling system, in line to the European regulation as well as its directly related directives. The operation of a solar absorption cooling system under real conditions is subjected to various limitations regarding its ability to satisfy the required cooling demand, as well as to avoid certain internal conditions which would lead to problematic situations and jeopardize the smooth operation of the system-such as solution crystallization and water freezing. Thus, it is very important to define and refine new control operating strategies, from an internal and external perspective. Several control strategies are discussed, altogether with a new fuzzy logic approach, which shall be experimentally validated as future actions, due to its highly promising capability.

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Fuzzy multivariable control of domestic heat pumps

Cited by 20 publications

References 12 publications

Parametric modelling of domestic air-source heat pumps

Parametric modelling of domestic air-source heat pumps

Application of AI in Chemical Engineering

Control Strategy Approach Based on the Operational Results of a Small Capacity Direct Air-Cooled Libr-Water Absorption Chiller

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