Session: 11-01: Alternative Energy Converstion Technology (including Wind, Geothermal, Hydro, and Ocean)

Paper Number: 151773

151773 - Modeling an Algorithm for Sizing a Hybrid System of Solar Pv and Wind Turbine and Hydrogen Energy Storage System for Reliable Year-Round Power Supply: Application of “Sity” Weather Year Format 

Abstract: 

Sizing a hybrid system of high intermittency and variability nature, such as solar PV and wind turbine power generation system (PVWTPGS), is a challenging task. Additionally, it has made the reliability of such renewable-energy-based power generation systems (REPGS) to be a significant source of concern for the energy management sector as well as the end users. Nonetheless, researches have been making different attempts to develop different sizing algorithms for mitigating the effect of this nature. Yet, one of the most promising attempts is the hybridization of more than one REPGS along with a practical choice of an energy storage system (ESS) and using an efficient historical weather year dataset (WYD). However, it has been noticed that these attempts still are either complex to apply or suffer from lack of importance considerations; also, they are usually conducted separately, which, due to the coherent connection among them, may lead to a non-accurate analysis.

Thus, this research presents an efficient sizing algorithm, for estimating the required surface area (RSA), of the PVWTGPS, and the required energy storage capacity (RESC) for the selected ESS in this study, the hydrogen ESS. This algorithm has been designed to be unique in terms of various aspects. First, in terms of tracking the variability of weather events and implementing and developing comprehensive energy conversion computational models, with a logical-based designed flowchart for different, but related, purposes. For instance, it utilizes measurements and modeling tools for estimating the site-specific optimal hub height of the wind turbine. Moreover, the algorithm has considered the need of studying the penetration level of each REPGS (i.e., PV and WT) and estimating it in a site-specific fashion; and, similarly, the algorithm has the feature of being able to suggest the best period of start harvesting the energy. Additionally, this algorithm involves a proposed site assessment approach, which might be utilized as a preliminary evaluation tool. Furthermore, it involves the consideration of the avoidance of complexity for reproducing this algorithm for any site. Importantly, this algorithm has adopted “SITY” for generating the average, most-frequent, worst and best WYDs.

The superiority of the proposed algorithm is verified by a case study of a specific location. It turns out that this algorithm is capable of sizing PVWTPGS and tracking the typical and extreme conditions and their corresponding RSA and RESC. Additionally, the integration of this algorithm and SITY is capable of studying the effect of fluctuations in the weather-related quantity on determining the RSA and RESC. Also, the preliminary result has showed that the algorithm has successfully detected the fact that the studied site has a low potential of wind energy. Finally, in the near future, this proposed algorithm is to be implemented into software for reproduction.

Presenting Author: Yasir Alfulayyih Qassim University

Presenting Author Biography: I am assistant Professor at Qassim University in Saudi Arabia. I have earned my Doctor of Philosophy at the field of thermal science from the Aerospace and Mechanical Engineering Department at the University of Arizona.
My Research interests is hydrogen energy storage system, solar and wind energy power plant modeling, water desalination, and fuel cell technology.
My publications are mainly in the field of modeling and optimizing of renewable and advanced energy conversion systems.
Now, I am teaching different graduate/under-gradaute courses in the field of thermo-fluid area and supervising senior design projects and master theses.