Full Life Cycle Management of Power System Integrated With Renewable Energy: Concepts, Developments and Perspectives

Wang, Kang; Li, Yikai; Wang, Xiaojun; Zhao, Zengtao; Yang, Ning; Yu, Shengcan; Wang, Yi; Huang, Zhanhong; Yu, Tao

doi:10.3389/fenrg.2021.680355

Cited by 7 publications

(4 citation statements)

References 71 publications

(73 reference statements)

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“…Beyond this traditional renewable resource, wind and solar energies are currently being rapidly developed. However, the full life cycle costs still need to be determined since the current technology has not had enough time to degrade and be replaced (Wang et al 2021). However, great progress has been made in price reduction through learning through the production scaling (a typical learning curve where the cost of production is reduce by a factor for each doubling of the cumulated production).…”

Section: Energymentioning

confidence: 99%

Insights from General Complexity Evolution for Our Current Situation

LePoire¹

2023

JWSR

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Will the pace of change in our global technological society continue to accelerate? Or will it follow the path of most previous technological waves, which slowed down as they matured? The purpose of this paper is to explore how historical general evolutionary processes involving increased energy flows and corresponding higher complexity levels might have contributed to the global problems we face today with regard to energy, environmental, inequality, and demographics. This situation will be compared with various integrated complexity evolutionary models of three major phases in evolution (life, humans, and civilization). While natural ecosystems seem to have both positive and negative feedback mechanisms to prevent the onset of senescence, the current economic system seems to have avoided constraints to enter a positive feedback loop that results in unsustainable resource use and pollution. There are still many contrasting interpretations of what this means for the near future, but integrating insights from these perspectives may help us better understand these processes.

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Section: Energymentioning

confidence: 99%

Insights from General Complexity Evolution for Our Current Situation

LePoire¹

2023

JWSR

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“…The application of AI in renewable energy extends to various aspects, including load demand forecasting, smart energy infrastructures, and energy data management for smart IoT devices (Raza & Khosravi, 2015;Șerban & Lytras, 2020;Zhou et al, 2020). Additionally, AI can contribute to the full life cycle management of power systems integrated with renewable energy, offering concepts, developments, and perspectives for efficient asset management (Wang et al, 2021). Moreover, AI's potential in managing renewable energy sources is highlighted, emphasizing the need for novel approaches to energy management (Xu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Reviewing the impact of AI on renewable energy efficiency and management

Adetomi Adewumi,

Chinelo Emilia Okoli,

Favour Oluwadamilare Usman

et al. 2024

Int. J. Sci. Res. Arch.

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In recent years, the intersection of artificial intelligence (AI) and renewable energy has emerged as a pivotal domain with transformative potential. This review delves into a comprehensive review of the impact that AI technologies have had on enhancing efficiency and management in the renewable energy sector. The integration of AI into renewable energy systems has ushered in a new era of optimization, addressing challenges and unlocking opportunities for sustainable energy production. AI's role in renewable energy begins with its ability to analyze vast datasets generated by energy systems, weather patterns, and consumption trends. Machine learning algorithms have been employed to predict energy demand, optimize grid operations, and enhance forecasting accuracy, thereby contributing to the increased efficiency of renewable energy sources. This application is crucial for overcoming the intermittent nature of renewable sources such as solar and wind power. Moreover, AI-driven technologies facilitate the intelligent management of energy storage systems, enabling better utilization of excess energy during peak production periods. Advanced control mechanisms, empowered by AI, have significantly improved the coordination of diverse energy sources, ensuring a seamless integration of renewable energy into existing power grids. Additionally, AI-driven predictive maintenance has proven instrumental in reducing downtime and optimizing the performance of renewable energy infrastructure. The review also explores the potential environmental and economic benefits of AI in renewable energy, emphasizing the role of smart grids, demand response systems, and decentralized energy production. As the world strives towards a sustainable energy future, this review offers valuable insights into the ongoing evolution of AI technologies and their impact on revolutionizing the efficiency and management of renewable energy systems. The findings presented here contribute to the growing body of knowledge aimed at accelerating the global transition to cleaner and more sustainable energy solutions.

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“…The IEA report offers a valuable overview of the status and progress in clean energy, providing a comprehensive background for understanding the global clean energy landscape (IEA, 2023). Modern research provides a comprehensive overview of the management of energy systems integrated with renewable energy sources throughout their life cycle and valuable perspectives on adapting sustainable energy solutions to meet the specific needs of this complex environment (Wang et al, 2021;Arruda et al, 2018). While literature on bidding behaviors in the energy sector and the optimization of energy systems provide insights into the challenges and opportunities in transitioning to renewable energy sources (Guo et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Renewable Energy Concept Development and Application in Shipping Industry

Melnyk,

Onishchenko,

Onyshchenko

2023

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Shipping industry contributes to global greenhouse gas emissions. As awareness of the impact of climate change grows, there is an urgent need to transition towards sustainable practices in the maritime sector. One solution is the adoption of renewable energy sources for ships, which can significantly reduce emissions and improve energy efficiency. This article explores various renewable energy sources that can be used on ships, such as solar and wind energy and carbon capture technology. The benefits and challenges of each energy source are discussed, along with their potential to support the shipping industry's sustainability goals. The article also examines the latest technological advancements and innovations in renewable energy for ships, such as hybrid propulsion systems and fuel cells. The present article concludes with a discussion of the regulatory framework and policies that can support the adoption of renewable energy sources in the shipping industry. The transition towards renewable energy sources for ships is an essential step towards achieving a more sustainable future for the shipping industry and the planet.

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Full Life Cycle Management of Power System Integrated With Renewable Energy: Concepts, Developments and Perspectives

Cited by 7 publications

References 71 publications

Insights from General Complexity Evolution for Our Current Situation

Insights from General Complexity Evolution for Our Current Situation

Reviewing the impact of AI on renewable energy efficiency and management

Renewable Energy Concept Development and Application in Shipping Industry

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