Bachelor's thesis Maurice Wald


Integration of Protocol Interoprability and Data Point Labelling into a Smart Readiness Indicator to Assess the Technology Capability of Buildings

SRI Picture Copyright: EBC SRI Picture

The 2018 revision of the European Energy Performance of Buildings Directive (EPBD) encourages the establishment of a „Smart Readiness Indicator“ (SRI). The SRI is designed to assess the ability of buildings to interact with users and the network and to manage their operation in an energyefficient manner. The communication protocols of the technologies and systems used to achieve this capability, as well as the building data points used in building automation, have an impact on cross-system and building-wide interoperability, performance, IT security, and the efficiency of the systems and thus on the one to be evaluated „Smart Readiness“. Current approaches to SRI do not (yet) consider these aspects. The aim of this work is the meaningful integration of an evaluation of communication protocols and data point labelling into the evaluation methodology of an SRI. An approach to the SRI from the technical study commissioned by the EU Commission and an approach from the HEA-commissioned baseline study were analyzed in this work and compared with a multi-criteria weighted decision analysis. The methodologies of the two approaches have been worked up and brought into a scientifically valid presentation. The relevant communication protocols were analyzed with regard to interoperability, IT security and own power consumption and evaluated with a multi-criteria weighted decision analysis. Relevant data point labeling systems were analyzed and evaluated with a multi-criteria weighted decision analysis. Communication protocols and datapoint labelling were integrated into SRI’s prepared evaluation methodology of the HEA approach based on the results. The main result of the thesis is an extended evaluation methodology for the calculation of a SRI of buildings, which includes the used communication protocols and used data point names in the evaluation and thus can evaluate the ability of buildings to interact with user and network and to manage their operation in an energy-efficient manner more meaningfully. In addition, the applicability of the extended SRI was confirmed in the context of two field tests at Effizienzhaus Plus with electromobility in Berlin and the main building of the E.ON Energy Energy Research Center of RWTH Aachen University. In addition, further optimization potential could be demonstrated in the existing approaches to the SRI. The results of this work can be helpful for the further steps in the development of a Smart Readiness Indicator and contribute to an improvement.