Research of Turbine Tower Optimization Based on Criterion Method

Li, Dan; Bao, Hongbing; Zhao, Ning

doi:10.3390/en16020906

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…An innovative method of producing and storing sustainable energy is through solarhydrogen technologies and storage devices. These systems use concentrated solar power or photovoltaic technology to capture the sun's plentiful energy, which is then used to electrolyze hydrogen gas [64][65][66]. The intermittency problem with renewable energy sources like solar power can be resolved with the convergence of solar energy and hydrogen generation [67][68][69].…”

Section: Solar-hydrogen Technologies and Storage Systemmentioning

confidence: 99%

Solar–Hydrogen Storage System: Architecture and Integration Design of University Energy Management Systems

Joshua,

Yeon,

Park

et al. 2024

Applied Sciences

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As a case study on sustainable energy use in educational institutions, this study examines the design and integration of a solar–hydrogen storage system within the energy management framework of Kangwon National University’s Samcheok Campus. This paper provides an extensive analysis of the architecture and integrated design of such a system, which is necessary given the increasing focus on renewable energy sources and the requirement for effective energy management. This study starts with a survey of the literature on hydrogen storage techniques, solar energy storage technologies, and current university energy management systems. In order to pinpoint areas in need of improvement and chances for progress, it also looks at earlier research on solar–hydrogen storage systems. This study’s methodology describes the system architecture, which includes fuel cell integration, electrolysis for hydrogen production, solar energy harvesting, hydrogen storage, and an energy management system customized for the needs of the university. This research explores the energy consumption characteristics of the Samcheok Campus of Kangwon National University and provides recommendations for the scalability and scale of the suggested system by designing three architecture systems of microgrids with EMS Optimization for solar–hydrogen, hybrid solar–hydrogen, and energy storage. To guarantee effective and safe functioning, control strategies and safety considerations are also covered. Prototype creation, testing, and validation are all part of the implementation process, which ends with a thorough case study of the solar–hydrogen storage system’s integration into the university’s energy grid. The effectiveness of the system, its effect on campus energy consumption patterns, its financial sustainability, and comparisons with conventional energy management systems are all assessed in the findings and discussion section. Problems that arise during implementation are addressed along with suggested fixes, and directions for further research—such as scalability issues and technology developments—are indicated. This study sheds important light on the viability and efficiency of solar–hydrogen storage systems in academic environments, particularly with regard to accomplishing sustainable energy objectives.

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Section: Solar-hydrogen Technologies and Storage Systemmentioning

confidence: 99%

Solar–Hydrogen Storage System: Architecture and Integration Design of University Energy Management Systems

Joshua,

Yeon,

Park

et al. 2024

Applied Sciences

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show abstract

“…In addition, the design provided is based on reference WT data not suggested based on the available wind potential at a selected site and the connected RDN constraints, which constitute the interest of our work. [11] proposed an optimization criterion method for the optimal design of a steel conical turbine tower considering different structural reliabilities and uncertainties. The design variables examined in this study were tower thickness and bolt type.…”

mentioning

confidence: 99%

Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics

Bourhim,

Ouammi,

Benchrifa

et al. 2023

IEEE Access

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This paper aims to present an economic decision-making model for determining the optimal wind turbine (WT) design for different bus nodes in a Radial Distribution Network (RDN) based on the wind potential of the studied site and grid capability. The main objective function in the optimization problem of this study is the maximization of the Net Present Value (NPV) of wind energy incomes subject to the WT geometrical design variables, including the rotor diameter and Tower Height; and under the RDN constraints to maintain the power system stability. Adequate placements among the different bus nodes for WT installation are those with the maximum NPV value. Furthermore, the intermittent characteristic of wind energy leads to the use of an Artificial Neural Network (ANN) in wind speed forecasting for good estimation of the generated wind energy. The effectiveness of the proposed model was validated using IEEE 9 and IEEE 33 Bus RDNs. The results demonstrate that the WT design determination is not related to the power of the wind potential but mostly to the capability of the connected RDN.

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Multi-objective parameter optimization of large-scale offshore wind Turbine's tower based on data-driven model with deep learning and machine learning methods

Cheng,

Yao,

et al. 2024

Energy

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Research of Turbine Tower Optimization Based on Criterion Method

Cited by 3 publications

References 15 publications

Solar–Hydrogen Storage System: Architecture and Integration Design of University Energy Management Systems

Solar–Hydrogen Storage System: Architecture and Integration Design of University Energy Management Systems

Optimal Wind Turbine Design Based Wind Potential and Radial Distribution Network Characteristics

Multi-objective parameter optimization of large-scale offshore wind Turbine's tower based on data-driven model with deep learning and machine learning methods

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