A sizing approach for stand-alone hybrid photovoltaic-wind-battery systems: A Sicilian case study
| Autor: | Antonio Giallanza, Giuseppe Vincenzo Marannano, Gabriella Li Puma, M Porretto |
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| Přispěvatelé: | Giallanza, A., Porretto, M., Li Puma, G., Marannano, G. |
| Rok vydání: | 2018 |
| Předmět: |
LLP
Computer science 020209 energy Strategy and Management Fuzzy inference system Economic optimization 02 engineering and technology 010501 environmental sciences 01 natural sciences Turbine Industrial and Manufacturing Engineering Settore ING-IND/17 - Impianti Industriali Meccanici 0202 electrical engineering electronic engineering information engineering Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria Industriale Reliability (statistics) Matlab 0105 earth and related environmental sciences General Environmental Science Iterative and incremental development Wind power Renewable Energy Sustainability and the Environment business.industry Photovoltaic system Sizing Renewable energy Reliability engineering Hybrid PV-Wind energy system Electricity business |
| Zdroj: | Journal of Cleaner Production. 199:817-830 |
| ISSN: | 0959-6526 |
| DOI: | 10.1016/j.jclepro.2018.07.223 |
| Popis: | Solar and wind energy are the two most available renewable energy resources in the world. In this paper, a high-resolution analysis that allows sizing a hybrid photovoltaic-wind turbine-battery banks has been carried out. The analysis aims to minimize the annualized cost of the systems satisfying two reliability constraints. The solution has been obtained numerically by means of an iterative technique. The decision variables are the photovoltaic area, wind turbine radius, and battery capacity. A high-resolution model, based on fuzzy logic inference system, has been developed to evaluate the number of active occupants and the domestic electricity consumption. In order to allow a more accurate sizing of the system, a new reliability parameter named seasonal loss of load probability ratio that takes into account the seasonality of data has been defined. Seasonal loss of load probability ratio has been used in the iterative process in addition to the most common loss of load probability. Compared with traditional processes, the obtained results demonstrate that the introduction of the new parameter to iterative process causes a meaningful improvement of the system's reliability and a slight increase of its cost on the other hand. The simulation, conducted in MATLAB® environment, has been carried out to supply power for a domestic dwelling located in three different locations of Sicily. Compared to reliability values arising from the traditional procedure, the obtained results show that a reliability improvement of 75% is reached by using the new sizing procedure. Therefore, the proposed methodology gives an important advancement on the current state of the art since it allows at designing renewable plants in a more efficient way. |
| Databáze: | OpenAIRE |
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