P. Ifaei, J. K. Park, T. Y. Woo, C. H. Jeong, C. K. Yoo
{"title":"在韩国利用媒体对带有氢气设施的可再生微电网优化网络进行需求控制","authors":"P. Ifaei, J. K. Park, T. Y. Woo, C. H. Jeong, C. K. Yoo","doi":"10.1088/1755-1315/1372/1/012005","DOIUrl":null,"url":null,"abstract":"\n In pursuit of a sustainable 2030 strategy in the Republic of Korea, this study addresses the oversight in recent optimal renewable energy microgrid designs, which, despite encompassing all feasible renewable sources, neglected the pivotal role of hydrogen as an energy carrier. This research explores the feasibility of reprogramming media platforms to dynamically shape energy consumption during peak intervals. It further proposes the retrofitting of microgrids with industrial hydrogen production and storage facilities, aligning with controlled electricity demand. A comprehensive social survey investigates the impact of media content on energy-conscious behaviour and cooperation, specifically targeting energy savings during peak hours. Utilizing a probabilistic model, the study quantifies responses from the surveyed sample and decomposes the energy demand time series to reveal three new consumption patterns: demand reduction by lowering residential electricity consumption at peak intervals without shifts, intense demand shifting by redistributing electricity consumption from peaks to valleys without human intervention, and moderate demand shifting achieved through cooperation with consumers. With these novel energy demand patterns in hand, the study optimally designs renewable microgrids in 17 sites in South Korea, comparing two strategies: Plan A, involving electrolysis-based hydrogen production and storage tanks, and Plan B, which excludes hydrogen facilities. Comparative results demonstrate that media content contributes to a 10.28% and 16.11% reduction in peak electricity consumption, with and without human intervention, respectively. In Plan B, a demand cut saves 937.3 MWh/yr, resulting in a 12.88% reduction in the levelized costs of electricity (LCOE) and a 4.67% reduction in net present costs (NPC) of optimal renewable microgrids in Korea. Conversely, in Plan A, intense demand reduction exhibits superior performance, leading to $981K less NPC, 1,046 MWh/yr less excess electricity, and a 3.76% smaller LCOE. The study recommends the implementation of smart gadgets to control residential electricity consumption, producing industrial hydrogen at Korean sites based on consumer attention and agreement with specific media content. However, it underscores the importance of studying the socio-psychological effects of this plan in future research.","PeriodicalId":506254,"journal":{"name":"IOP Conference Series: Earth and Environmental Science","volume":"20 45","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Leveraging media for demand control in an optimal network of renewable microgrids with hydrogen facilities in South Korea\",\"authors\":\"P. Ifaei, J. K. Park, T. Y. Woo, C. H. Jeong, C. K. Yoo\",\"doi\":\"10.1088/1755-1315/1372/1/012005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n In pursuit of a sustainable 2030 strategy in the Republic of Korea, this study addresses the oversight in recent optimal renewable energy microgrid designs, which, despite encompassing all feasible renewable sources, neglected the pivotal role of hydrogen as an energy carrier. This research explores the feasibility of reprogramming media platforms to dynamically shape energy consumption during peak intervals. It further proposes the retrofitting of microgrids with industrial hydrogen production and storage facilities, aligning with controlled electricity demand. A comprehensive social survey investigates the impact of media content on energy-conscious behaviour and cooperation, specifically targeting energy savings during peak hours. Utilizing a probabilistic model, the study quantifies responses from the surveyed sample and decomposes the energy demand time series to reveal three new consumption patterns: demand reduction by lowering residential electricity consumption at peak intervals without shifts, intense demand shifting by redistributing electricity consumption from peaks to valleys without human intervention, and moderate demand shifting achieved through cooperation with consumers. With these novel energy demand patterns in hand, the study optimally designs renewable microgrids in 17 sites in South Korea, comparing two strategies: Plan A, involving electrolysis-based hydrogen production and storage tanks, and Plan B, which excludes hydrogen facilities. Comparative results demonstrate that media content contributes to a 10.28% and 16.11% reduction in peak electricity consumption, with and without human intervention, respectively. In Plan B, a demand cut saves 937.3 MWh/yr, resulting in a 12.88% reduction in the levelized costs of electricity (LCOE) and a 4.67% reduction in net present costs (NPC) of optimal renewable microgrids in Korea. Conversely, in Plan A, intense demand reduction exhibits superior performance, leading to $981K less NPC, 1,046 MWh/yr less excess electricity, and a 3.76% smaller LCOE. The study recommends the implementation of smart gadgets to control residential electricity consumption, producing industrial hydrogen at Korean sites based on consumer attention and agreement with specific media content. However, it underscores the importance of studying the socio-psychological effects of this plan in future research.\",\"PeriodicalId\":506254,\"journal\":{\"name\":\"IOP Conference Series: Earth and Environmental Science\",\"volume\":\"20 45\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOP Conference Series: Earth and Environmental Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1088/1755-1315/1372/1/012005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOP Conference Series: Earth and Environmental Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1755-1315/1372/1/012005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
为了实现大韩民国 2030 年可持续发展战略,本研究针对近期可再生能源微电网优化设计中的疏忽之处进行了探讨。尽管这些设计涵盖了所有可行的可再生能源,但却忽视了氢气作为能源载体的关键作用。本研究探讨了重新编程媒体平台的可行性,以动态调整高峰时段的能源消耗。研究还建议在微电网中加装工业制氢和储氢设施,使其与受控的电力需求保持一致。一项全面的社会调查研究了媒体内容对能源意识行为和合作的影响,特别是针对高峰时段的能源节约。利用概率模型,该研究对调查样本的反应进行了量化,并对能源需求时间序列进行了分解,从而揭示了三种新的消费模式:通过在不转移的情况下降低高峰时段的居民用电量来减少需求;通过在不人为干预的情况下将用电量从高峰时段重新分配到低谷时段来实现强烈的需求转移;以及通过与消费者合作来实现适度的需求转移。根据这些新的能源需求模式,该研究对韩国 17 个地点的可再生微电网进行了优化设计,并对两种策略进行了比较:计划 A 涉及电解制氢和储氢罐,计划 B 则不包括制氢设施。比较结果表明,在有人工干预和无人工干预的情况下,媒体内容可使峰值用电量分别减少 10.28% 和 16.11%。在 B 计划中,削减需求每年可节省 937.3 兆瓦时,从而使韩国最佳可再生微电网的平准化电力成本(LCOE)降低了 12.88%,净现值成本(NPC)降低了 4.67%。相反,在 A 计划中,密集减少需求表现出卓越的性能,使净现值成本降低了 98.1 万美元,过剩电量减少了 1,046 兆瓦时/年,平准化电力成本降低了 3.76%。研究建议使用智能小工具来控制住宅用电,根据消费者的关注度和对特定媒体内容的认同度,在韩国生产工业氢气。不过,该研究强调了在未来研究中研究该计划的社会心理影响的重要性。
Leveraging media for demand control in an optimal network of renewable microgrids with hydrogen facilities in South Korea
In pursuit of a sustainable 2030 strategy in the Republic of Korea, this study addresses the oversight in recent optimal renewable energy microgrid designs, which, despite encompassing all feasible renewable sources, neglected the pivotal role of hydrogen as an energy carrier. This research explores the feasibility of reprogramming media platforms to dynamically shape energy consumption during peak intervals. It further proposes the retrofitting of microgrids with industrial hydrogen production and storage facilities, aligning with controlled electricity demand. A comprehensive social survey investigates the impact of media content on energy-conscious behaviour and cooperation, specifically targeting energy savings during peak hours. Utilizing a probabilistic model, the study quantifies responses from the surveyed sample and decomposes the energy demand time series to reveal three new consumption patterns: demand reduction by lowering residential electricity consumption at peak intervals without shifts, intense demand shifting by redistributing electricity consumption from peaks to valleys without human intervention, and moderate demand shifting achieved through cooperation with consumers. With these novel energy demand patterns in hand, the study optimally designs renewable microgrids in 17 sites in South Korea, comparing two strategies: Plan A, involving electrolysis-based hydrogen production and storage tanks, and Plan B, which excludes hydrogen facilities. Comparative results demonstrate that media content contributes to a 10.28% and 16.11% reduction in peak electricity consumption, with and without human intervention, respectively. In Plan B, a demand cut saves 937.3 MWh/yr, resulting in a 12.88% reduction in the levelized costs of electricity (LCOE) and a 4.67% reduction in net present costs (NPC) of optimal renewable microgrids in Korea. Conversely, in Plan A, intense demand reduction exhibits superior performance, leading to $981K less NPC, 1,046 MWh/yr less excess electricity, and a 3.76% smaller LCOE. The study recommends the implementation of smart gadgets to control residential electricity consumption, producing industrial hydrogen at Korean sites based on consumer attention and agreement with specific media content. However, it underscores the importance of studying the socio-psychological effects of this plan in future research.