Stochastic model for electrical loads in Mediterranean residential buildings: Validation and applications

Abstract

A major issue in modelling the electrical load of residential building is reproducing the variability between dwellings due to the stochastic use of different electrical equipment. In that sense and with the objective to reproduce this variability, a stochastic model to obtain load profiles of household electricity is developed. The model is based on a probabilistic approach and is developed using data from the Mediterranean region of Spain. A detailed validation of the model has been done, analysing and comparing the results with Spanish and European data. The results of the validation show that the model is able to reproduce the most important features of the residential electrical consumption, especially the particularities of the Mediterranean countries. The final part of the paper is focused on the potential applications of the models, and some examples are proposed. The model is useful to simulate a cluster of buildings or individual households. The model allows obtaining synthetic profiles representing the most important characteristics of the mean dwelling, by means of a stochastic approach. The inputs of the proposed model are adapted to energy labelling information of the electric devices. An example case is presented considering a dwelling with high performance equipment.

Cost-effective analysis for selecting energy efficiency measures for refurbishment of residential buildings in Catalonia

“…The characteristics of the appliances follows the characterization of an average household of a multifamily building in the Mediterranean region, which are detailed in [40]. The energy consumption profile of the appliances has been obtained through a stochastic model presented in [40]. Finally, one of the measures that have been considered in the study is the implementation of an awareness campaign in order to change the behaviour of the users and reduce their energy consumption.…”

“…Regarding to the appliances consumption, the stock of equipment has been obtained from the surveys and is listed in Table 8. The characteristics of the appliances follows the characterization of an average household of a multifamily building in the Mediterranean region, which are detailed in [40]. The energy consumption profile of the appliances has been obtained through a stochastic model presented in [40].…”

Impact of Demand-Side Management on Thermal Comfort and Energy Costs in a Residential nZEB

“…The electric consumption of the appliance stock has been obtained using the stochastic model described in [23]. [24] h −1 7.5 5.0 Heating and DHW Natural gas boiler (η = 0.75) Heat Pump Lighting system Fluorescent LED PV system kWp -1.…”

“…Table 1 describes the building characteristics before and after the retrofit. More details about the building model hypothesis are described in [22,23]. [24] h −1 7.5 5.0 Heating and DHW Natural gas boiler (η = 0.75) Heat Pump Lighting system Fluorescent LED PV system kWp -1.4…”

A Modeling Framework for Developing Load Profiles in Buildings

“…A study of the consumption of electric appliances in domestic buildings was carried out to identify the trends in their energy use pattern [2]. The model developed was useful for simulating energy consumption for individual appliances.…”