Robotics & Machine Learning Daily News2024,Issue(Jun.20) :65-66.

New Robotics Study Findings Have Been Reported by Researchers at University of K entucky (P Owering I N-f Ield C Ontinuous R Obotic S Ystems U Sing S Olar E Nerg y S Ystems)

kentucky大学的研究人员(powering I n-f Ield C ontinous R Obotic S systems using S Olar E Nerg y S systems)报告了新的机器人研究结果

Robotics & Machine Learning Daily News2024,Issue(Jun.20) :65-66.

New Robotics Study Findings Have Been Reported by Researchers at University of K entucky (P Owering I N-f Ield C Ontinuous R Obotic S Ystems U Sing S Olar E Nerg y S Ystems)

kentucky大学的研究人员(powering I n-f Ield C ontinous R Obotic S systems using S Olar E Nerg y S systems)报告了新的机器人研究结果

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于机器人的新报告。根据NewsRx Journali STS在肯塔基州列克星敦的新闻报道,研究表明,“一个BSTRACT。连续现场机器人和自动化系统受到持续供电需求的挑战。”这项研究的财政支持来自美国农业部国家食品和农业研究所,舱口-多州计划。新闻记者引用了肯塔基大学的一句话:“这种离网电源可以是柴油、汽油、丙烷或其他诸如太阳能或风能之类的天然能源。这项研究调查了离网太阳能电池供电系统所需的太阳能电池板阵列和储能能力。这项研究使用了肯塔基州列克星敦市22年的历史天气数据。”并用国家可再生能源实验室的System Advisor模型进行处理,对太阳能电池板阵列S的每小时输出能量分别为2KW、3KW、4KW、5KW、10KW、15KW、20KW、30KW、40KW、50KW,和60千瓦时的能量使用模型(模拟每天3.6千瓦时、6千瓦时、12千瓦时、18千瓦时和24千瓦时的能量需求),以确定WHI CH系统可以在整个22年内运行,而不会达到临界最小值。对于3.6千瓦时的日能量需求,32种太阳能电池板Ar射线和电池容量组合保持在临界水平以上。虽然每天6千瓦时的能源需求只有12种组合,没有一种组合能够支持更大的能源需求。一个支持6千瓦时能源需求的可行系统是使用15千瓦时面板阵列的系统(42个标准面板,系统硬件成本约为22650美元)。在太阳能电池板阵列尺寸和电池容量之间有一个折衷,所以可以通过增加一个以减少另一个变量来实现其他可行的系统。将系统运行时间限制在3月到10月,可以减少所需面板阵列的尺寸(减少到原来尺寸的33%到67%之间),或者在给定的日能量负荷下减少能量储存能力(减少到原来容量的40%到67%之间)。通过增加一台使用不超过50公斤的应急发电机,太阳能电池系统的尺寸可以进一步缩小。电池容量比原系统降低17%-38%,太阳能电池板比原系统减少13%~15%,具体减少量取决于原系统的具体配置和需要支持的日负荷水平,3月至10月只运行备用发电机的系统也能满足12、18千瓦时的日能源需求。即使将运行限制在3月至10月,并使用应急发电机,最小电池容量至少是日常能源需求的2.5倍,太阳能电池板阵列必须很大,以确保标称输出能够在3小时的太阳下提供日常能源需求。然而,"由于这种权衡关系,这些最低限度不能同时达到."

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting from Lexington, Kentucky, by NewsRx journali sts, research stated, "A BSTRACT. Continuous in -field robotic and automated sys tems are challenged by the need for a continuous supply of power." Financial support for this research came from National Institute of Food and Agr iculture, U.S. Department of Agriculture, Hatch-Multistate Program. The news correspondents obtained a quote from the research from the University o f Kentucky, "This off -grid power supply can be diesel, gasoline, propane, or al ternative energy sources like solar or wind. This study investigates the require d solar panel arrays and energy storage capacities for an off -grid solar -batte ry power supply system. This study used 22 years of historical weather data from Lexington, Kentucky, and processed it with the National Renewable Energy Labora tory's System Advisor Model to model hourly energy output from solar panel array s of 2 kW, 3 kW, 4 kW, 5 kW, 10 kW, 15 kW, and 20 kW. This was combined with an energy storage model (simulated battery capacities of 5 kWh, 10 kWh, 15 kWh, 20 kWh, 30 kWh, 40 kWh, 50 kWh, and 60 kWh) and an energy use model (simulated dail y energy demands of 3.6 kWh, 6 kWh, 12 kWh, 18 kWh, and 24 kWh) to determine whi ch systems could operate over the entire 22 years without reaching critical mini mum levels. For a 3.6 kWh daily energy demand, 32 combinations of solar panel ar rays and battery capacities remained above critical levels, while this was only 12 combinations for a 6 kWh daily energy demand and no combination could support larger energy demands. An example a feasible system to support a 6 kWh energy d emand is one that uses a 15 kW panel array (42 standard panels with an approxima te system hardware cost of $22,650) and 30 kWh of energy storage ca pacity (which with lead acid batteries would cost $11,661 and requi re a volume of 300 L). There is a tradeoff between solar panel array size and ba ttery capacity so other feasible systems can be realized by increasing one to ma ke up for reductions in the other variable. Additionally, limiting system operat ion to March through October can reduce the size of the required panel array (to between 33% to 67% of the original size) or energy storage capacity (to between 40% to 67% of the origi nal capacity) for a given daily energy load. The size of the solar battery syste m could be further decreased by adding an emergency generator that uses no more than 50 kg of propane annually. Battery capacities could be reduced by 17% to 38% compared to the original system, and the solar panel arrays could be reduced by 13% to 15% compared to the orig inal. Specific reduction amounts depended on the specific configuration of the o riginal system and the daily load level that had to be supported. A system that only operated from March through October with a backup generator could also supp ort the 12 and 18 kWh daily energy demands, which could not be supported by the original system. Even with limiting operation to March through October and using an emergency generator, the minimal battery capacity was at least 2.5 times lar ger than the daily energy demand, and the solar panel array had to be large enou gh that the nominal output would provide the daily energy demand in 3 hours of f ull sun. However, because of the trade-off relationship, these minimums cannot b e attained together."

Key words

Lexington/Kentucky/United States/Nort h and Central America/Emerging Technologies/Machine Learning/Robotics/Robots/University of Kentucky

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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