Self-Organised Simulation for Sustainable Building Design
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 12742
Special Issue Editor
Interests: zero carbon design and retrofit of buildings; embodied and operational emissions; life cycle analysis; bio-sourced materials; renewable energy; climate emergency; policy development support; advanced control of building heating and cooling and resultant savings; nature-inspired design; aligning interests of housing developers and end users; alternative economics for sustainability paradigm
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Buildings are massively complex systems, and their operation contributes to nearly 30% of carbon dioxide emissions worldwide. They are designed using dynamic simulation tools, which are in the background, typically based on top-down systems of equations that need to be simplified in order to be solved. This causes significant discrepancies between the designed and actual performance, a so called “performance gap”, leading to sub-optimum solutions. In these traditional approaches to building simulation, the problem is brought closer to the solution method, instead of the solution method being brought closer to the problem. We therefore may be partially “blinded” by these traditional approaches, which stand as an artificial interface between nature and our understanding of nature. But as buildings do not solve systems of equations in order to “know” how to transfer heat within them, why would we? Heat transfer occurs through proximity interaction between molecules, leading to self-organised behaviour that is much faster and more complex than the behaviour modelled by the top-down systems of equations. This Special Issue of Sustainability seeks to consolidate the alternative bottom-up self-organised simulation methods that are more direct representations of the actual physical processes, rather than the indirect mathematical descriptions of these processes that partially remove certain aspects of the natural behaviour. Articles on emergence-based approaches to the self-organised simulation of heat and moisture transfer, air flow, energy performance, carbon emissions, building form creation, and other relevant processes for sustainable building design are invited for consideration and peer-review for this Special Issue.
Prof. Ljubomir Jankovic
Guest Editor
Manuscript Submission Information
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Keywords
- Sustainable building design
- Building simulation
- Bottom-up modelling
- Emergence-based approaches
- Self-organised simulation
- Reduction of performance gap
- Machine learning of building physics properties
- Reverse modelling
