| 摘要 |
A computer (37) or microprocessor-based thermostat system (10) for automatically determining and implementing an optimum thermostat setback schedule (80) which, while maintaining a user-specified occupancy comfort schedule (39), minimizes the energy consumption of the climate control system (18) within an enclosure (30). The method of the thermostat assembly (10), using the continuous measurement of various air temperatures, fluid flows, and energy consumption rates includes the adaptive capability of indirectly learning the relevant thermal and thermodynamic characteristics of both the enclosure (30) and the climate control system (18), including such thermal parameters as the effective thermal capacitance of the internal walls and contents (53,55) of the enclosure (30), the effective internal heat transfer conductance between the thermal capacitance and the air within the conditioned space (28), the effective external heat transfer conductance between the inside air (28) and the outside air (36) and the efficiency of the climate control system (18), which includes the associated air distribution system (22, 32), as a function of its input energy rate. The method also includes a non-linear efficiency model, using the aforementioned thermal parameters, which has the capability of predicting, in advance of implementation, the energy consumption of the climate control system (18) as a function of outside air temperature and the user-specified occupancy comfort schedule (39). An optimization scheme is then used to determine the most energy efficient thermostat setback schedule (80) for the current outdoor air temperature, while still satisfying the user-specified occupancy comfort schedule (39).
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