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Performance analysis based on parameter identification

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Author: Polinder, H. · Spiekman, M.E. · Dijk, H.A.L. van
Publisher: Elsevier
Place: Amsterdam
Source:Energy Procedia, 78, 3019-3024
Energy Procedia
Identifier: 534861
Keywords: Energy · Behavioral research · Buildings · Climate models · Dynamics · Energy efficiency · Identification (control systems) · Calculation models · Dynamic parameters · Energy · Energy performance · Energy performance of buildings · Performance analysis · System property · Parameter estimation · Fluid & Solid Mechanics · HTFD - Heat Transfer & Fluid Dynamics · TS - Technical Sciences


A next generation of models is needed to guarantee energy performances of buildings and systems in practice. Current energy performance models use assumptions on climate, user behavior, characteristics of building and systems that may deviate from reality. Improvement of the accuracy of these models and assumptions is necessary to better predict the real energy performance of buildings and systems. Joining calculation models with data, using dynamic parameter identification (DPI), is a promising way for a better prediction of energy use in practice. Three example cases for identifying deviating building and system properties are discussed.