| In this thesis, general and systematic methodologies were developed for simulating, calibrating and optimal control of building energy system. Based on investigation of two popular system simulation approaches, Sequential Component Method (SCM) and Equation-Oriented Method (EOM), a hybrid simulation strategy, named Successive Approximation Method (SAM), was proposed for combining some of the desirable features of both SCM and EOM. SAM is a more coherent strategy which involves two aspects: (i) formulation of the Successive Approximation Method, and (ii) using the automatic differentiation (AD) technique to compute the Jacobian matrix. A systematic calibration approach, named analytic optimization approach, was developed as a means of performing a guided refined search during the calibration of detailed building energy simulation programs. This includes four basic elements: sensitivity analysis, identifiability analysis, numerical optimization, and uncertainty analysis. This study also presents a general and systematic methodology, termed Complete Simulation Based Sequential Quadratic Programming (CSB-SQP), for determining the optimal control of building energy systems. We develop the mathematical basis of the methodology and apply it to a simple cooling plant system to illustrate the accuracy, efficiency and robustness of this method. |
