2026-04-06T23:15:38Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/59592024-03-04T11:39:19Zcom_20.500.11984_1143col_20.500.11984_1148

Oca, Laura 2023-01-16T12:14:18Z 2023-01-16T12:14:18Z 2022 978-1-6654-0896-7 2165-4093 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=170383 https://hdl.handle.net/20.500.11984/5959 This work presents a predictive energy management strategy for self-consumption in tertiary buildings. The self-consumption is composed of a photovoltaic generation and a battery. The energy management strategy is composed of a forecast module, high-level strategy and real-time adaptative control. Due to the daily forecast, significant data was available 24 hours in advance, allowing the energy management strategy to take advantage. The high-level strategy defines the battery’s operation mode for each hour of the day. The real-time adaptative control corrects the possible errors with instant measurements and generates real-time battery commands and its operation mode. With this approach, a reduction of 16.17 % of the electric bill was obtained by comparing it to a scenario without a battery and its correspondent strategy. The development was integrated and validated in a test bench, obtaining a 60.43 % grid independence increase. eng © 2022 IEEE photovoltaic (PV) Buildings Measurement uncertainty Control systems Real-time systems Battery charge measurement Design and validation of a predictive energy management strategy for self-consumption in tertiary buildings http://purl.org/coar/resource_type/c_c94f