To provide energy-efficient space heating and cooling, a thermoelectric building envelope (TBE) embeds thermoelectric devices in building walls. The thermoelectric device in the building envelope can provide active heating and cooling without requiring refrigerant use and energy transport among subsystems. Thus, the TBE system is energy and environmentally friendly. A few studies experimentally investigated the TBE under limited operating conditions, and only simplified models for the commercial thermoelectric module (TEM) were developed to quantify its performance. A holistic approach to optimum system performance is needed for the optimal system design and operation. The study developed a holistic TBE-building system model in Modelica for system simulation and performance analysis. A theoretical model for a single TEM was first established based on energy conversion and thermoelectric principles. Subsequently, a TBE prototype model combining the TEM model was constructed. The prototype model employing a feedback controller was used in a whole building system simulation for a residential house. The system model computed the overall building energy efficiency and dynamic indoor conditions under varying operating conditions. Simulation results indicate the studied TBE system can meet a heating demand to maintain the desired room temperature at 20 °C when the lowest outdoor temperature is atmore »
Online building energy model to evaluate heating and cooling-related behavior changes for eco-feedback in a multifamily residential building
The participation of residents plays a key role in residential energy saving strategies because they make decisions on how to operate building heating and cooling systems. Eco-feedback is an effective tool to motivate energy conserving behaviours (ECBs) by providing information on energy efficiency and associated benefits. The main purpose of this study is to develop an online data-driven building energy model to evaluate heating and cooling-related behaviour changes for eco-feedback design in a multifamily residential building. A grey-box state-space model is presented that is updated with realtime data using a particle filter approach. The model accounts for the evolution of parameters and captures the unobserved inter-unit heat transfer without modelling the whole building thermal network through sequential Bayesian update. The model is developed and validated using data collected in an actual multifamily residential building
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- 16th IBPSA International Conference.
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- National Science Foundation
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