Renewable energies are introducing the most promising path to a cleaner future by producing decarbonized electricity. Among all renewable technologies, wind energy and solar PV are fast-growing due to high availability and declining cost in recent years. The principal objective of this project was to chose optimal design parameters for a wind turbine working in a Hybrid power plant by considering a strategy for maximizing the NPV. Additionally, two configurations for the Hybrid power plant, wind turbine+ battery storage and wind turbine + PEM electrolyzer, have been considered. In order to achieve the main goal of this study, a set of design parameters has been selected, and by utilizing the WISDEM library in Python, the wind turbine design has been implemented. Afterward, by considering an electricity price time series and cost of HPP elements, an economic study was performed to find the maximum NPV. Furthermore, in order to maximize the NPV for configured Hybrid power plants, a mathematical model for battery and electrolyzer optimization has been proposed. Besides, a comparison between the design strategy as it is today and the strategy with market objective has been accomplished. Finally, in order to find the competitive scenario for the battery and electrolyzer, a sensitivity analysis has been carried out.
Renewable energies are introducing the most promising path to a cleaner future by producing decarbonized electricity. Among all renewable technologies, wind energy and solar PV are fast-growing due to high availability and declining cost in recent years. The principal objective of this project was to chose optimal design parameters for a wind turbine working in a Hybrid power plant by considering a strategy for maximizing the NPV. Additionally, two configurations for the Hybrid power plant, wind turbine+ battery storage and wind turbine + PEM electrolyzer, have been considered. In order to achieve the main goal of this study, a set of design parameters has been selected, and by utilizing the WISDEM library in Python, the wind turbine design has been implemented. Afterward, by considering an electricity price time series and cost of HPP elements, an economic study was performed to find the maximum NPV. Furthermore, in order to maximize the NPV for configured Hybrid power plants, a mathematical model for battery and electrolyzer optimization has been proposed. Besides, a comparison between the design strategy as it is today and the strategy with market objective has been accomplished. Finally, in order to find the competitive scenario for the battery and electrolyzer, a sensitivity analysis has been carried out.
Design and operation of wind turbine for hybrid power plant applications including P2X
TAHERNEJADLEDARI, SOHEIL
2019/2020
Abstract
Renewable energies are introducing the most promising path to a cleaner future by producing decarbonized electricity. Among all renewable technologies, wind energy and solar PV are fast-growing due to high availability and declining cost in recent years. The principal objective of this project was to chose optimal design parameters for a wind turbine working in a Hybrid power plant by considering a strategy for maximizing the NPV. Additionally, two configurations for the Hybrid power plant, wind turbine+ battery storage and wind turbine + PEM electrolyzer, have been considered. In order to achieve the main goal of this study, a set of design parameters has been selected, and by utilizing the WISDEM library in Python, the wind turbine design has been implemented. Afterward, by considering an electricity price time series and cost of HPP elements, an economic study was performed to find the maximum NPV. Furthermore, in order to maximize the NPV for configured Hybrid power plants, a mathematical model for battery and electrolyzer optimization has been proposed. Besides, a comparison between the design strategy as it is today and the strategy with market objective has been accomplished. Finally, in order to find the competitive scenario for the battery and electrolyzer, a sensitivity analysis has been carried out.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/173362