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The Demand For Storage Technologies In Energy Transition Pathways Towards 100 Renewable Energy For India

机译:对印度100%可再生能源的能源转型途径对储存技术的需求

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The initiatives taken by India to tap its renewable energy (RE) potential have been extraordinary in recent years. However, large scale deployment of renewables requires various storage solutions to balance intermittency. In this work, a 100% RE transition pathway based on an hourly resolved model till 2050 is simulated for India, covering demand by the power, desalination and non-energetic industrial gas sectors. Energy storage technologies used in the model that provide flexibility to the system and balance the demand are batteries, pumped hydro storage (PHS), adiabatic compressed air energy storage (A-CAES), thermal energy storage (TES) and power-to-gas technology. The optimization for each time period (transition is modeled in 5-year steps) is carried out on assumed costs and technological status of all energy technologies involved. The model optimizes the least cost mix of RE power plants and storage technologies installed to achieve a fully RE based power system by 2050 considering the base year's (2015) installed power plant capacities, their lifetimes and total electricity demand. Results indicate that a 100% renewable energy based energy system is achievable in 2050 with the levelised cost of electricity falling from a current level of 58 ?/MWhe to 52 ?/MWhe in 2050 in a country-wide scenario. If the capacity in 2050 would have been invested for the cost assumptions of 2050 the cost would be 42 ?/MWhe, which can be expected for the time beyond 2050. With large scale intermittent renewable energy sources in the system, the demand for storage technologies increases from the current level to 2050. Batteries provide 2596 TWh, PHS provides 12 TWh and gas storage provides 197 TWh of electricity to the total electricity demand. Most of the storage demand will be based on batteries, which provide as much as 42% of the total electricity demand. The combination of solar PV and battery storage evolves as the low-cost backbone of Indian energy supply, resulting in 3.2 - 4.3 TWp of installed PV capacities, depending on the applied scenario in 2050. The above results clearly prove that renewable energy options are the most competitive and least-cost solution for achieving a net zero emission energy system. This is the first study of its kind in full hourly resolution for India.
机译:近年来,印度采取的举措挖掘其可再生能源(RE)潜力一直是非凡的。但是,可再生能源的大规模部署需要各种存储解决方案来平衡间隔。在这项工作的基础上,每小时的解决模式,直到2050年100%RE过渡途径模拟了印度,覆盖由电力,海水淡化和非高能工业气体行业的需求。在模型中使用的能量存储技术为系统和平衡提供了灵活性,需求是电池,泵送水力储存(PHS),绝热压缩空气储能(A-CAES),热能储存(TES)和电力到气体技术。每次段(转换以5年级的转换)的优化是在所涉及的所有能源技术的假定成本和技术现状进行的。该模型优化了RE电厂和存储技术的最低成本组合,以实现2050年的全基于基于RE的电力系统,考虑到基础年份(2015)安装的电厂容量,寿命和总电力需求。结果表明,2050年可实现100%可再生能源系统,具有58次电流58的电力落下的电力成本落在2050年在一个全国范围的场景中的52次。/ mWhe。如果2050年的容量将被投资于2050年的成本假设,费用将是42?/ m拍,可以预期2050年代的时间。在系统中具有大规模间歇性可再生能源,对储存技术的需求从目前的水平增加到2050年。电池提供2596 TWH,PHS提供12 TWH和储气,为总电力需求提供197 TWH电力。大多数存储需求将基于电池,提供多达42%的电力需求。太阳能光伏和电池储存的组合作为印度能源的低成本骨架,导致安装的光伏能力3.2-4.3细胞,具体取决于2050年的应用方案。上述结果清楚地证明可再生能源选择是用于实现净零排放能源系统的最具竞争力和最低成本的解决方案。这是对印度全小时决议进行的第一次研究。

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