The effectiveness of an Intelligent System For Real-time Hygrothermal Management In Low Energy Buildings

This paper proposes an intelligent model for realtime control of the hygrothermal behaviour in low energy buildings. Through the management of information related to internal and external conditions combined with the design and context data, the built network lead to assess the correct strategy for an adequate hygrothermal behaviour (choosing between active and passive systems for control of indoor air-quality). The expected benefits are a healthy environment, the stable performances of materials, the containment of maintenance costs, the reduction of the use of passive systems in order to cut CO2 emissions.