https://search.dev.ndltd.org/etd/arizona-thes/oai:repository.arizona.edu:10150/670235
type: CreativeWork
name: Algorithm and Design Tool Development of Sizing a Stand-Alone Pv/Wt/Electrolyzer/Hydrogen/Fuelcell Power Generation System for Electricity Supply Under Weatherrelated Uncertainty Considerations and Thermo-Fluid Effects
description: Today, reducing the greenhouse gas emissions and decentralizing the electrical power plantshas become a worldwide target, which, in turns, helps in avoiding causing any damage to the environment and increasing and easing the accessibility to the network, respectively, especially at remote areas. One of the most promising ways for achieving this target is the utilization of green and renewable energy resources (RER) such as solar energy (SE) and wind energy (WE). However, in nature, SE and WE suffer from the intermittence and variability (IV) (also called volatility), which have made the task of forecasting the power outputs from and designing/sizing a RE-based power plant (REPP) very challenging and have made the reliability to become a big source of concern for the decisions makers. Nonetheless, researchers have been attempting to develop different approaches for the purpose of utilizing these RER and mitigating this natural issue as much as possible, simultaneously. One of the most promising and appreciated mitigator for the IV effect is by hybridizing the power plants of SE and WE (H-REPP), with not or equal penetration levels, by integrating the H-REPP with an energy storage system (ESS) (e.g., compressed air, pumped hydro (PHS), regenerative fuel cell (RFC), etc.), and by using a method that can forecast the historical weather data (called WYGM from now onward) for the sake of obtaining any statistical data that can map the potential at any site of interests. Moreover, since it is impractical to request unlimited surface area and energy storage capacity (ESC) for harvesting and storage SE/WE, respectively, but to be reasonable via developing sizing algorithms, instead; this has been introduced in the literature under the topic of sizing REPP. However, usually, in the literature, these three tasks (modeling H-REPP, formulating WYGMs, and developing sizing algorithms) are separately studied/adopted, which should not be the case due to the strong connections among…
abstract: Today, reducing the greenhouse gas emissions and decentralizing the electrical power plantshas become a worldwide target, which, in turns, helps in avoiding causing any damage to the environment and increasing and easing the accessibility to the network, respectively, especially at remote areas. One of the most promising ways for achieving this target is the utilization of green and renewable energy resources (RER) such as solar energy (SE) and wind energy (WE). However, in nature, SE and WE suffer from the intermittence and variability (IV) (also called volatility), which have made the task of forecasting the power outputs from and designing/sizing a RE-based power plant (REPP) very challenging and have made the reliability to become a big source of concern for the decisions makers. Nonetheless, researchers have been attempting to develop different approaches for the purpose of utilizing these RER and mitigating this natural issue as much as possible, simultaneously. One of the most promising and appreciated mitigator for the IV effect is by hybridizing the power plants of SE and WE (H-REPP), with not or equal penetration levels, by integrating the H-REPP with an energy storage system (ESS) (e.g., compressed air, pumped hydro (PHS), regenerative fuel cell (RFC), etc.), and by using a method that can forecast the historical weather data (called WYGM from now onward) for the sake of obtaining any statistical data that can map the potential at any site of interests. Moreover, since it is impractical to request unlimited surface area and energy storage capacity (ESC) for harvesting and storage SE/WE, respectively, but to be reasonable via developing sizing algorithms, instead; this has been introduced in the literature under the topic of sizing REPP. However, usually, in the literature, these three tasks (modeling H-REPP, formulating WYGMs, and developing sizing algorithms) are separately studied/adopted, which should not be the case due to the strong connections among…
author: Alfulayyih, Yasir Mohammed
language: en
keywords: Big Data, Green Hydrogen Production, Renewable Energy Software, Solar PV, Uncertainty, Wind Energy
license: http://rightsstatements.org/vocab/InC/1.0/
date published: 2023
date modified: 2026-07-24T00:57:22Z
provider: University of Arizona
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: The University of Arizona.

PropertyValue
property ID: Handle
value: http://hdl.handle.net/10150/670235