IMpACT: Inverse model accuracy and control performance toolbox for buildings

摘要: Uncertainty affects all aspects of building performance: from the identification models, through implementation model-based control, to operation deployed systems. We present IMpACT, a methodology and toolbox for analysis uncertainty propagation inverse modeling controls. Given plant model data building, IMpACT automatically evaluates effect sensor accuracy control performance. also statistical method quantify bias in measurement determine near optimal placement density accurate signal measurements. In our previous work, we considered end-to-end form fixed data. this paper, extend work with random errors data, which is more realistic. Using real test-bed, show how performing an can reveal trends about performance, be used make informed decisions requirements accuracy.