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Agent-based simulation as a tool for the built environment.
1Icosystem Corporation, 10 Fawcett St., Cambridge, MA 02138, USA. paolo@icosystem.com
Annals of the New York Academy of Sciences
|June 19, 2013
Summary
Agent-based simulation offers a powerful method for analyzing building performance data. This approach helps improve building design, reduce environmental impact, and enhance occupant well-being.
Area of Science:
- Built environment performance
- Sustainable architecture
- Building energy efficiency
Background:
- Growing need for enhanced building performance (cost, efficiency, carbon footprint, occupant comfort).
- Explosion of building performance data from sensors and automation systems.
- Necessity for methodologies to extract actionable insights from data.
Purpose of the Study:
- To summarize agent-based simulation (ABS).
- To describe ABS potential for built environment analysis, design, and performance improvement.
- To incorporate occupant behavior and attitudes into performance analysis.
Main Methods:
- Review and summary of agent-based simulation principles.
- Discussion of ABS application in built environment contexts.
- Consideration of data analysis and occupant behavior integration.
Main Results:
- Agent-based simulation provides a framework for complex system analysis.
- ABS can model interactions between building systems and occupants.
- Potential for ABS to inform design decisions and retrofitting strategies.
Conclusions:
- Agent-based simulation is a promising methodology for improving built environment performance.
- ABS facilitates data-driven decision-making for sustainable and efficient buildings.
- Integrating occupant behavior via ABS is crucial for realistic performance optimization.
