Summary:
One of the challenges of utilizing solar PV in residential buildings is the management of load in accordance to the intermittent nature of solar resource. In this paper, Mixed Integer Linear Programming (MILP) is proposed to effectively plan and allocate load for consumption in such a way that the user defined priority of loads are conserved. In this way, the loads are made to follow the battery state of charge in accordance to the intermittent nature of solar resource without adversely affecting the quality of life of the user. In doing this, energy audit of a typical 4-bedroom residential building belonging to a medium-income family is carried out and classified into controllable and non-controllable loads. The energy audit is also used to size the PV system and the battery bank taking into consideration the financial status of the user (i.e. adequately sized and under-sized PV system based on financial status of the user). A load manager based on MILP with solar resource load following capability is thereafter developed and implemented in a computational program to manage the load based on user’s priority. Six scenarios are created to gain insights into the effectiveness of the proposed load manager. The results reveal that the proposed technique is effective in allocating loads based on the available solar resource in such a way that the user priority is maintained.
Spanish layman's summary:
Este documento presenta un administrador de carga para una residencia fuera de la red que es alimentada por un sistema solar fotovoltaico. El esquema de gestión de carga funciona de tal manera que se mantienen las prioridades del usuario al realizar la asignación del recurso solar.
English layman's summary:
This paper presents a load manager for an off-grid residence that is supplied by a solar photovoltaic system. The load management scheme works in such a way that user priorities are maintained when doing allocation of the solar resource.
Keywords: Load managementPV systemBattery state of chargeLoad following capabilityMixed integer linear programing
JCR Impact Factor and WoS quartile: 4,067 - Q1 (2016); 6,700 - Q1 (2022)
DOI reference:
https://doi.org/10.1016/j.enbuild.2016.08.042
Published on paper: October 2016.
Citation:
A.S.O. Ogunjuyigbe, T.R. Ayodele, O. Oladimeji, Management of loads in residential buildings installed with PV system under intermittent solar irradiation using mixed integer linear programming. Energy and Buildings. Vol. 130, pp. 253 - 271, October 2016.
