Methodology to Build Demand Profiles for the Simulation of Renewable Energy Communities

In order to answer the questions of sizing and operating renewable energy communities, it is necessary to have the appropriate data. Among the main data we have renewable generation, usually with abundant data available, and demand. We have two main difficulties with demand: on the one hand, low availability of public data and on the other hand, that the demand profiles adequately represent the conditions of greatest interest for sizing and operating the community. For this reason, a method is proposed here that allows the construction of the demand curves of interest to answer the questions of sizing and operation. The method allows the use of the available demand curves and from them the construction of new ones taking into account three main factors: i) overlap of the demand curve with the renewable generation curve (self-consumption), ii) correlation of the demand curve with a reference demand curve (average curve) and iii) a scale factor that relates the demand curve with the size of the community, and that allows the inclusion of information on the type of housing and the climatic zone. To illustrate the method, it is applied to a set of 55 demand curves (annual hourly profiles of 8760 values/curve), photovoltaic generation and three types of communities.