A designing methodology for optimal sizing of photovoltaic and electrical storage systems for tertiary buildings
Author
Castellà, M.; Castro, C.; Crespo, E.; Kampouropoulos, K.
Type of activity
Presentation of work at congresses
Name of edition
8th Euro-American Congress on Construction Pathology, Rehabilitation Technology and Heritage Management
Date of publication
2020
Presentation's date
2020-09-29
Book of congress proceedings
REHABEND 2020 : construction pathology, rehabilitation technology and heritage management (8th REHABEND Congress), Granada (Spain), March 24th-27th, 2020
First page
249
Last page
249
Abstract
This article presents a novel methodology to define the optimal design of photovoltaic installations and electrical storage systems focused on both new installations and retrofit buildings of the tertiary sector. The proposed methodology consists of using a multiobjective optimization algorithm based on sequential quadratic programming, which evaluates several economic and energy impacts of different sizing strategies (for photovoltaic generation and electrical storage) and determines the optima...
This article presents a novel methodology to define the optimal design of photovoltaic installations and electrical storage systems focused on both new installations and retrofit buildings of the tertiary sector. The proposed methodology consists of using a multiobjective optimization algorithm based on sequential quadratic programming, which evaluates several economic and energy impacts of different sizing strategies (for photovoltaic generation and electrical storage) and determines the optimal one, based on the building´s characteristics and conditions, as well as in the design criteria established by the user. The proposed methodology integrates photovoltaic models that permit to calculate the potential of energy produced in the installation, in terms of the cell technology and the climatic conditions, as well as the restrictions of the available surface. Moreover, it includes models of electrochemical batteries to calculate the storage capacity and efficiency for different cell size configurations. In both models, the algorithm considers the performance losses of the technologies due to the energy conversion as well as the losses related to their aging throughout their use. Finally, based on the demand profiles of the building and its climatic conditions, the developed algorithm calculates the energy flow in the installation, in terms of energy exchange with the grid (supply and export), storage and self-consumption, and evaluates the resulting energy and economic impacts for different sizing configurations. In terms of optimization criteria, it permits to establish or minimize the investment and operating costs of the installation, to maximize the self-consumption ratio of the building and to minimize the return of investment ratio. The proposed methodology (and algorithm) has been developed and validated in the research project ELDE, in the framework of the European program for Research and Innovation Strategies for Smart Specialisation call (RIS3).
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