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Multi-objective Optimisation of Semi-transparent Photovoltaic Facades

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Conference Paper

Multi-objective Optimisation of Semi-transparent Photovoltaic Facades

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Proceedings of the SB 13 Singapore — Realising Sustainability in the Tropics
Copyright © 2013 SB13 Organisers. All rights reserved.
ISBN: 978-981-07-7377-9
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... DGP can be simulated using the Evalglare program [5]. Since Evalglare is not available as a Grasshopper component, a customized Grasshopper component has been developed by Choo et al [19].This allows DGP to be easily calculated at any point in time for any design variant. However, the problem is once again that the annual simulation is very slow, and calculating the annual DGP for every point in time for a whole year would be prohibitively slow. ...
Article
Full-text available
The optimisation of semi-transparent building integrated photovoltaic facades can be challenging when attempting to find an overall balance performance between conflicting performance criteria. This paper presents a three-phase design optimisation method that maximises overall electricity savings generated by these types of facades by simulating the combined impact of electricity generation, cooling load, and daylight autonomy.Two demonstrations are performed, with the difference being that the second demonstration uses an enhanced model for calculating daylight savings that takes into account the use of blinds to counteract glare. For both demonstrations, the three-phase optimisation method significantly reduces optimisation run times. Comparing the design variants evolved by the two demonstrations, the use of the enhanced daylight savings model results in a total electricity savings that is more accurate but in terms of visual differentiation, the difference between the optimized design variants is relatively small.
... This is because detailed building performance simulation tools, which have relatively long runtimes, are typically coupled with a multi-objective optimisation evolutionary algorithm. Choo et al (2013) has shown that the runtime of a performancebased multi-objective optimisation can be reduced by using faster proxy simulations. Commonly used multi-objective algorithm like evolutionary algorithm (EA) have been widely used in building related multiobjective optimisation (Caldas 2008, Charron and Athienitis 2006, Wang et al 2005. ...
Conference Paper
Full-text available
Evolutionary algorithms have popularly been used for the past ten years in building performance optimisation. This paper will present the use of multi-objective ant colony algorithm as a possible alternative to multi-objective evolutionary algorithm. The multi-objective optimisation of a semi-transparent building integrated photovoltaic (BIPV) facade is used for the proof of concept. The design of semi-transparent BIPV facades has an impact on a wider range of factors, including solar heat gain and daylight penetration into the rooms of the building. Results from the experiments conducted show that multi-objective ant colony algorithm can speed up the multi-objective optimisation process but does not perform as well as the multi-objective evolutionary algorithm.
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