This paper addresses the problem of thermal energy efficiency in domestic buildings. As opposed to classic optimal approach, a sensitivity analysis and comparison have been performed to evaluate both comfort and consumption of different heating scheduling, corresponding to different user-oriented scenarios, which allows to derive basic operating rules. Also continuous and discontinuous heating strategies are compared. The various scenarios are evaluated for different building thermal properties and different climatic conditions, under a classic mixed PID and hysteresis control scheme. The case study here considered is a house heated through a radiant floor system. A new index of assessment of user's comfort is also proposed. This paper explores the importance of heating scheme in terms of comfort and energy saving and highlights the importance of the decision maker point of view when deciding the most appropriate heating strategy. An optimal control strategy is also implemented (model-based predictive control) for comparison.

Scenario-based sensitivity analysis of energy dynamic behavior in residential buildings with radiant floors

Dao, L. A.;Ferrarini, L.
2018-01-01

Abstract

This paper addresses the problem of thermal energy efficiency in domestic buildings. As opposed to classic optimal approach, a sensitivity analysis and comparison have been performed to evaluate both comfort and consumption of different heating scheduling, corresponding to different user-oriented scenarios, which allows to derive basic operating rules. Also continuous and discontinuous heating strategies are compared. The various scenarios are evaluated for different building thermal properties and different climatic conditions, under a classic mixed PID and hysteresis control scheme. The case study here considered is a house heated through a radiant floor system. A new index of assessment of user's comfort is also proposed. This paper explores the importance of heating scheme in terms of comfort and energy saving and highlights the importance of the decision maker point of view when deciding the most appropriate heating strategy. An optimal control strategy is also implemented (model-based predictive control) for comparison.
2018
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
9781509065059
Building energy efficiency; Control strategy; Floor radiant heating system; PI control; Electrical and Electronic Engineering; Control and Systems Engineering; Industrial and Manufacturing Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1062486
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