Towards Optimization of Building Energy and Occupant Comfort Using Multi-Agent Simulation

摘要: The primary consumers of building energy are heating, cooling, ventilation, and lighting systems, which maintain occupant comfort, electronics appliances that enable functionality. optimization is therefore a complex problem highly dependent on unique environmental conditions as well time operational factors. To provide computational support for this optimization, paper presents implements multi-agent comfort simulation (MACES) to model alternative management control systems occupants. Human device agents used explore current trends in consumption university test bed building. Reactive predictive strategies then imposed an attempt reduce while maintaining comfort. Finally, motivated by feedback accept more conscious scheduling through negotiations. Initial results the MACES demonstrate potential savings 17% high level This work intended tool, implementable actual site compatible with real-world input instigate motivate behaviors.