Requirements: context of application, building classification, and dynamic uses consideration – Deliverable released

HYBUILD Deliverable 1.1  – Requirements – is now available to download.

The aim of this report is first to characterize a limited number of climates to be taken as reference in the analysis of the HYBUILD solutions, considering the different climatic conditions as well as the different habits and constraints in energy consumptions. The second purpose is to classify and characterize the most representative residential building typologies in Europe, identifying potential candidates for the HYBUILD technologies application.

The building typologies characterization is carried out starting from the analysis of two of the several tools developed in the context of European projects (FP7) related to the building characterization: TABULA/EPISCOPE (EPISCOPE FP7 EU funded Project, 2012-2016) and INSPIRE (INSPIRE FP7 EU funded Project, 2016).

A methodology to assess the technology applicability, define the sizing of the HYBUILD solutions and to assess their performance in given conditions (climates, building typology, user scenarios) is proposed. It allows for evaluating if the HYBUILD technologies can be applied in the different building typologies and climates and under which conditions.

Another objective is to define user scenarios and boundary conditions consistent with the building typologies, serving as input in the energy simulations used to define loads profiles for heating, cooling and DHW. In this way it is possible, given a set of boundary conditions and uses scenarios, to assess the performance in the different climates. Load profile and peak loads for each building and climate are defined to be used in further energy simulations that will be carried out in the upcoming activities of the project to evaluate the HYBUILD system performance.

Boundary conditions refer to the standard internal gains, the infiltration and ventilation of the buildings, the shading elements and the temperature set points to be considered in the simulations, as well as the scheduling for heating and cooling systems. The user scenarios comprehend additional cases of heating and cooling temperature set points, in order to have a wider evaluation of the performance.