Climate Change and Ocean Renewable Energy

Climate Change and Ocean Renewable Energy

 

306,78 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2023
Materia
Meteorología y climatología
ISBN:
9783031269660
306,78 €
IVA incluido
Disponible
Añadir a favoritos

Renewable-energy is energy that is collected from renewable resources that are naturally replenished on a human timescale. Renewable-energy includes sources such as sunlight, tides, waves, wind, rain, and geothermal heat. According to BP’s-2018 Energy Outlook (EO), renewable energy will be the fastest growing source of energy, increasing fivefold by 2040 thus providing around 14% of global primary energy at this future point. On the other hand, climate change is bringing about rising temperatures, which have significant negative impacts on humans and the environment, and transitioning to renewable energy sources, such as biofuels, can help meet this challenge. Transitioning to renewable energy, and reducing reliance on fossil fuels, is one way to help slow down the effects of climate change. While renewables used to be a more expensive option, new clean energy technologies are lowering costs and helping to move economies away from fossil fuels. The 1st International Conference on Climate Change and Ocean Renewable Energy (CCORE 2022), is a virtual conference held from November 4-7, 2022, presenting experiences and ideas through research talks and presentations from diverse fields in climate change and ocean renewable energy. This event offers a platform in bringing together a forum for students, postdocs and established scientists to exchange their ideas and contribute to an integrative approach to climate change and ocean renewable energy. 

Artículos relacionados

  • Savonius Rotor for Hydropower Utilization
    Shashikumar C M
    In recent years the demand for renewable energy sources has grown substantially due to an increase in global energy demand, increased dependability and cost of fossil fuels, and the unforeseen environmental threat from fossil fuel consumption. These crises have led to a shift in our focus on renewable resources such as solar, wind, hydropower, geothermal, and biomass. Hydropowe...
  • Power Digitization Unveiled
    Mike L
    Embark on a transformative journey into the future of energy with 'Power Digitization Unveiled.' In this groundbreaking exploration, the digital frontier of power awaits, offering a vision of efficiency, sustainability, and empowerment. As we stand at the crossroads of technological innovation, this book serves as your indispensable guide through the intricacies of power digiti...
  • Quantum Dot Sensitized Solar Cell Based on Ternary Quaternary Quantum Dots
    Navjot Singh
    A Quantum Dot Sensitized Solar Cell employing ternary or quaternary quantum dots represents an innovative approach to solar energy conversion. In this design, the utilization of three or four distinct types of quantum dots enables the solar cell to efficiently capture a broader spectrum of light. This enhanced light absorption is achieved through careful bandgap engineering, al...
  • Solar Thermal Plant with 24x7 Thermal Storage
    Anil Kumar
    Energy Sources can be classified as primary and secondary energy sources. Primary energy sources are normally categorized as renewable and non-renewable on the basis of their depleting characteristics. Renewable energy derived from natural resources and they are automatically replenished. It is also known as clean energy sources. Secondary energy sources are derived from transf...
  • Machine Learning and Computer Vision for Renewable Energy
    As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In respons...
    Disponible

    294,60 €

  • Machine Learning and Computer Vision for Renewable Energy
    As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In respons...
    Disponible

    386,58 €