Abstract
The fourth chapter consists of two parts. The first part describes a detailed energy audit and a detailed simulation model, based on a Building Energy Management System (BEMS) installed in an office building and on measured hourly values of energy and indoor environment parameters. The aim of the second part of this chapter is to present the development of a Virtual Building Dataset (VBD) of office buildings as an innovative benchmarking and classification tool. The proposed methodology overcomes the difficulties and time required for collecting the necessary massive building constructional and energy bills data, which is a cumbersome and time-consuming work, by creating them virtually using efficient stochastic simulation (uniform stochastic distribution), by taking into account all parameters that may affect the energy performance and indoor thermal comfort of office buildings. The VBD tool provides flexibility and expandability on building datasets’ characteristics, sample size and climatic conditions according to the relevant research scope. The large number of the developed data can also be used for sensitivity analysis, neural network training, as well as for any process that demands a significant number of building data.
This chapter is supported by Triantafyllia Nikolaou, Dionysia Kolokotsa and George Stavrakakis.
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Nikolaou, T., Kolokotsa, D., Stavrakakis, G., Apostolou, A., Munteanu, C. (2015). Detailed Audit and Detailed Case-Study Building Model: Virtual Building Dataset (VBD) for Benchmarking and Classification of Office Buildings. In: Managing Indoor Environments and Energy in Buildings with Integrated Intelligent Systems. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-21798-7_4
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