Optimisation Of Controller Parameters For Adaptive Building Envelopes Through A Co-Simulation Interface: A Case Study

Borkowski, Esther; Donato, Mattia; Zemella, Giovanni; Rovas, Dimitrios; Raslan, Rokia

doi:10.26868/25222708.2019.210517

Cited by 2 publications

(6 citation statements)

References 12 publications

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“…What might help in the process of improving tool capabilities for controller modelling is the current trend of graphical plug-and-play modelling (Nouidui, McNeil, and Lee 2011). For example, cosimulation allows to plug and play different simulators to identify optimised controller parameters for an adaptive building envelope (Borkowski et al 2019). Graphical plug-and-play modelling is also promoted by tools like Modelica (Modelica Association 2017), an object-oriented, equationbased modelling language, which allows tool coupling.…”

Section: Resulting Needs and Gapsmentioning

confidence: 99%

“…This method has been widely investigated in recent years (e.g. Borkowski et al 2019;Loonen et al 2016) and seems as a promising solution to overcome the challenges associated with the capabilities of BPS tools to predict the behaviour of adaptive building envelopes.…”

Section: Workarounds To Overcome the Lack Of Bps Tool Capabilitiesmentioning

confidence: 99%

“…The outcomes of IBPSA Project 1 represent an excellent opportunity to be used in research on adaptive building envelope simulation (e.g. Borkowski et al 2019). What is now needed is to make the research outcomes accessible and understandable to practitioners, potentially without specialised knowledge, to enable them to reliably and accurately predict adaptive building envelope behaviour in the future.…”

Section: Implications Of Findings For Future Research and Practicementioning

confidence: 99%

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Adaptive building envelope simulation in current design practice: findings from interviews with practitioners about their understanding of methods, tools and workarounds and implications for future tool developments

Borkowski

Rovas

Raslan

2021

Intelligent Buildings International

Self Cite

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Adaptive building envelopes can dynamically adapt to environmental changes to improve thermal building performance. To predict the performance of design proposals with adaptive building envelopes, Building Performance Simulation (BPS) tools can be employed. However, one shortcoming of existing tools is their limited extensibility, which implies that accurately predicting adaptive building envelope performance remains a challenge and requires ad hoc approaches. This challenge has made practitioners reticent in considering adaptive building envelopes, which in turn has led to a slow uptake of them in the built environment. This study seeks to advance the understanding of the limitations of adaptive building envelope simulation in current design practice and to suggest implications for future tool developments. To this aim, the study adopts a user-centred perspective through interviews with experts in the field. Findings suggest that current BPS tools hinder the reliable prediction of adaptive building envelope performance, as accurately representing the level of detail of the building envelope is challenging. The subsequent workarounds applied are either time-and cost-intensive or do not consider the dynamic building envelope components. More flexible modelling approaches that allow for rapid prototyping and easy integration are required to enable designers to take full advantage of adaptive building envelopes.

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Section: Resulting Needs and Gapsmentioning

confidence: 99%

Section: Workarounds To Overcome the Lack Of Bps Tool Capabilitiesmentioning

confidence: 99%

Section: Implications Of Findings For Future Research and Practicementioning

confidence: 99%

See 1 more Smart Citation

Adaptive building envelope simulation in current design practice: findings from interviews with practitioners about their understanding of methods, tools and workarounds and implications for future tool developments

Borkowski

Rovas

Raslan

2021

Intelligent Buildings International

Self Cite

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show abstract

“…The worker simulates sub-problems, and the coordinator initiates the start of the simulation and is responsible for coordinating the overall simulation and the data transfer between the tools (Broman et al, 2013). An earlier study by Borkowski, Donato, Zemella, Rovas, & Raslan (2019) proposed a modelling approach for the co-simulation of adaptive building envelopes. According to Attia, Hensen, Beltrán, & De Herde (2012), BPS tools should provide the flexibility to integrate guidance to influence design decisions, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…through optimisation of design solutions. However, many BPS tools lack such capabilities, and the modelling approach by Borkowski et al (2019) integrates additional functionalities, such as optimisation, to support the design decision-making process.…”

Section: Introductionmentioning

confidence: 99%

Empirical validation of co-simulation models for adaptive building envelopes

Borkowski

Luna-Navarro

Michael

et al. 2022

JFDE

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The thermal performance of adaptive building envelopes can be evaluated using building performance simulation tools. Simulation capabilities and accuracy in predicting the dynamic behaviour of adaptive building envelopes can be enhanced through co-simulation. However, it is unclear how accurately co-simulation can predict the performance of adaptive building envelopes and how the accuracy of adaptive building envelope models created in co-simulation setups can be assessed and validated. Therefore, this study presents new evidence on the empirical validation of co-simulation setups for adaptive building envelopes by establishing an assessment framework to determine the extent to which they can accurately represent the real world. The framework was applied to a case study to validate a co-simulation setup for a blind automation system using monitored data from MATELab, a full-scale outdoor test facility with realistic indoor and outdoor conditions. The validation of the co-simulation model of MATELab resulted in a median CV-RMSE index, a measure of model accuracy, of 5.9%. This indicates that the simulated data points have a small variance relative to the measured data points, showing a good model fit. In the future, modellers from the façade community can use the assessment framework for their co-simulation setups.

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Optimisation Of Controller Parameters For Adaptive Building Envelopes Through A Co-Simulation Interface: A Case Study

Cited by 2 publications

References 12 publications

Adaptive building envelope simulation in current design practice: findings from interviews with practitioners about their understanding of methods, tools and workarounds and implications for future tool developments

Adaptive building envelope simulation in current design practice: findings from interviews with practitioners about their understanding of methods, tools and workarounds and implications for future tool developments

Empirical validation of co-simulation models for adaptive building envelopes

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