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Erschienen in:
Introduction to Nano- and Biotech-Based Materials for Energy Building Efficiency Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

6. Simulation-Based Evaluation of Adaptive Materials for Improved Building Performance

verfasst von : Fabio Favoino

Erschienen in: Nano and Biotech Based Materials for Energy Building Efficiency

Verlag: Springer International Publishing

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Abstract

This chapter presents a method to evaluate the performance and to support product development of adaptive micro- and nanobased material and technologies, integrated into buildings. In the first section, an introduction to adaptive building concepts is provided, followed by an overview of adaptive micro- and nanomaterials for building envelope integration in the second part. The role of building simulation in the development of innovative adaptive materials and technologies is discussed in the third section, together with the limitations and challenges of predicting by means of computation the performance of adaptive materials. The most advanced methodologies and the characteristics of the tools to support product development for building-integrated adaptive materials and technologies are presented in the fourth section. Finally, a case study is described to demonstrate and illustrate some of the potential of those methodologies, consisting in the evaluation of the performance of future generation adaptive glazing.

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Vorheriges Kapitel Photosynthetic Glass: As a Responsive Bioenergy System
Nächstes Kapitel Nanotech Based Vacuum Insulation Panels for Building Applications
Fußnoten
1
LEED and BREEAM are voluntary assessment methodologies, whose main aim is to assess, rate and certify the fulfilment of multiple building environmental performance criteria for different phases of the building construction process (building design, construction and operation). For more information about these building environmental performance assessment methodologies please refer to Kubba (2012).
 
2
RHC is a feedback nonlinear control technique, solving an optimisation problem at each time step to determine the control sequence (sequence of optimal adaptive building envelope properties) by optimising a certain cost function, over a certain time horizon, which includes a certain future time frame that, together with the present time step, the “planning horizon” constitutes the “cost horizon”.
 
3
Cosimulation is a simulation strategy in which two or more simulators solve systems of coupled equations, by exchanging data during simulation runtime (Trcka et al. 2009). The cosimulation functionality can be enabled by means of middleware software, such as BCVTB (Wetter 2011a).
 
4
The Pareto front is a set of solutions, and all of them are Pareto optimal, that is, none of the objective functions can be improved in value without degrading some of the other objective values. With no additional preference information, all the solutions in a Pareto front are considered equally good (Miettinen 1999).
 
5
For this task, different approaches can be used based on methods for multiobjective decision making (Marler and Arora 2004; Pohekar and Ramachandran 2007).
 
6
For this evaluation, no internal loads (occupant, lights and equipment) and no solar loads are considered in the room model.
 
7
This theoretical maximum is limited by the ratio of the energy contained in the solar visible spectrum compared to the whole solar spectrum at the sea level, which is approximately 42 %.
 
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Metadaten
Titel
Simulation-Based Evaluation of Adaptive Materials for Improved Building Performance
verfasst von
Fabio Favoino
Copyright-Jahr
2016
Buch
Nano and Biotech Based Materials for Energy Building Efficiency

Print ISBN: 978-3-319-27503-1

Electronic ISBN: 978-3-319-27505-5

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-27505-5_6