首页> 外文会议>Computer and Automation Engineering (ICCAE 2010), 2010 >A Study of renewable power for a zero-carbon electricity system in Japan using a proposed integrated analysis model
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A Study of renewable power for a zero-carbon electricity system in Japan using a proposed integrated analysis model

机译:使用拟议的综合分析模型对日本零碳电力系统的可再生能源进行的研究

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In the present study, a scenario analysis is conducted for the future electricity system with a large amount of renewable power in Japan using a proposed integrated model with the aim of finding the best mix that produces the least amount of carbon and meets the future electricity demand. The final objective is to achieve a zero-carbon electricity system by the year of 2100, subject to various constrains of electricity grid technology, socio-economy, environment and resource availability. The power sources include solar, wind, nuclear, battery, fossil fuel, hydro and biomass. Under the certainty preconditions given in this study, the results of the analysis show that, (i) domestic renewable power can cover about 40% of the total electricity demand (ii) a large amount of Electric Vehicles (EV) can efficiently be used to level the electrical load during peaks in power supply and work as a back-up power source for renewable energy electricity; (iii) smart grid technology is necessary to manage the charge/discharge of EV batteries and adjust the output of clean thermoelectricity and battery according to some important information such as end-user demand and output forecasts of renewable energy power (solar and wind) in different weather situations.
机译:在本研究中,使用拟议的集成模型对日本拥有大量可再生能源的未来电力系统进行了情景分析,旨在找到产生最少碳量并满足未来电力需求的最佳组合。 。最终目标是在2100年之前实现零碳电力系统,但要受电网技术,社会经济,环境和资源可用性的各种约束。能源包括太阳能,风能,核能,电池,化石燃料,水力发电和生物质能。在本研究确定的前提条件下,分析结果表明:(i)国内可再生能源可满足总电力需求的40%(ii)大量电动汽车(EV)可有效地用于在供电高峰时调节电负载,并用作可再生能源电力的备用电源; (iii)智能电网技术对于管理EV电池的充电/放电以及根据一些重要信息(如最终用户需求和可再生能源发电(太阳能和风能的输出预测))调整清洁热电和电池的输出是必要的。不同的天气情况。

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