Multi-objective optimization of a renewable power supply system with underwater compressed air energy storage for seawater reverse osmosis under two different operation schemes

Zhao, Pan; Gou, Feifei; Xu, Wei; Dai, Yiping

doi:10.1016/j.renene.2021.09.041

Cited by 36 publications

(9 citation statements)

References 34 publications

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“…Ocean energy was presented more in detail in the previous works to provide energy for different zones as in [53][54][55][56][57]. Almost all of these studies have introduced modeling and multi-objective optimization for hybrid energy systems under various constraints, using diverse optimization approaches to solve the intended issues.…”

Section: Ocean Energymentioning

confidence: 99%

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Saib,

Bayındır,

Vadi

2024

Gazi University Journal of Science

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Renewable energy systems are mostly used in the world due to their inexhaustible and non-polluting production. As a result of a large utilization of these energy sources in different areas, the electricity production rate is increasing every day. Previous studies clarified uses, modeling, configuration, energy management operation, and optimization objectives based on different energy sources. For this reason, this paper focuses on an overview of multi energy systems as renewable and conventional power sources with the integration of an energy storage system coupled to the on-off electrical network. Furthermore, a survey is done regarding global energy production, configuration energy systems, energy storage systems, power management strategies, and optimization methods based on different hybrid energy systems. Multiple optimization approaches have been implemented to reach the global best solution for the hybrid power systems. To ensure the best optimization result, it is preferable to take hybrid optimization methods into consideration. These methods have been invented recently and have proved their efficacy and performance mainly in power systems.

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Section: Ocean Energymentioning

confidence: 99%

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Saib,

Bayındır,

Vadi

2024

Gazi University Journal of Science

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“…On the other hand, analyses of single-objective approaches, presented as problems to find the "optimal" response, which relates to the maximum or minimum value of a single optimization problem, group all multiple optimization problems into one. Hence, multi-objective techniques allow decision-makers to consider the exchange between the various benefits of various objects and select the best option [115,116]. Many genuine issues have several objectives, such as cost minimization, performance maximization, reliability enhancement, etc.…”

Section: Immune Selection Multi-objective Dragonfly Optimization Algo...mentioning

confidence: 99%

Multi-Objective Optimization Algorithms for a Hybrid AC/DC Microgrid Using RES: A Comprehensive Review

et al. 2023

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Optimization methods for a hybrid microgrid system that integrated renewable energy sources (RES) and supplies reliable power to remote areas, were considered in order to overcome the intermittent nature of RESs. The hybrid AC/DC microgrid system was constructed with a solar photovoltaic system, wind turbine, battery storage, converter, and diesel generator. There is a steady increase in the utilization of hybrid renewable energy sources with hybrid AC/DC microgrids; consequently, it is necessary to solve optimization techniques. Therefore, the present study proposed utilizing multi-objective optimization methods using evolutionary algorithms. In this context, a few papers were reviewed regarding multi-objective optimization to determine the capacity and optimal design of a hybrid AC/DC microgrid with RESs. Here, the optimal system consisted of the minimum cost of energy, minimum net present cost, low operating cost, low carbon emissions and a high renewable fraction. These were determined by using multi-objective optimization (MOO) algorithms. The sizing optimization of the hybrid AC/DC microgrid was based on the multi-objective grey wolf optimizer (MOGWO) and multi-objective particle swarm optimization (MOPSO). Similarly, multi-objective optimization with different evolutionary algorithms (MOGA, MOGOA etc.) reduces energy cost and net present cost, and increases the reliability of islanded hybrid microgrid systems.

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“…It was found that a round-trip efficiency in the range of 75~85% could be achieved [46,47]. Dai et al from Xi'an Jiaotong University designed an autonomous renewable seawater reverse osmosis system by introducing underwater compressed air energy storage and investigated the feasibility from perspectives of technology and economy [48,49]. They also proposed underwater compressed CO 2 energy storage by replacing air with CO 2 [22].…”

Section: Adiabatic Uwcaesmentioning

confidence: 99%

Underwater Compressed Gas Energy Storage (UWCGES): Current Status, Challenges, and Future Perspectives

Wang

Liang

et al. 2022

Applied Sciences

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Underwater compressed air energy storage was developed from its terrestrial counterpart. It has also evolved to underwater compressed natural gas and hydrogen energy storage in recent years. UWCGES is a promising energy storage technology for the marine environment and subsequently of recent significant interest attention. However, it is still immature. In this study, the latest progress in both academic and industrial fields is summarized. Additionally, challenges facing this emerging technology are analyzed. The pros and cons of UWCGES are provided and are differentiated from the terrestrial variant. Technical, economic, environmental, and policy challenges are examined. In particular, the critical issues for developing artificial large and ultra-large underwater gas storage accumulators and effective underwater gas transportation are comprehensively analyzed. Finally, the demand for marine energy storage technology is briefly summarized, and the potential application scenarios and application modes of underwater compressed gas energy storage technology are prospected. This study aims to highlight the current state of the UWCGES sector and provide some guidance and reference for theoretical research and industrial development.

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Multi-objective optimization of a renewable power supply system with underwater compressed air energy storage for seawater reverse osmosis under two different operation schemes

Cited by 36 publications

References 34 publications

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Overview: Using Hybrid Energy System for Electricity Production Based on the Optimization Methods

Multi-Objective Optimization Algorithms for a Hybrid AC/DC Microgrid Using RES: A Comprehensive Review

Underwater Compressed Gas Energy Storage (UWCGES): Current Status, Challenges, and Future Perspectives

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