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Modelling and Optimization of Clean and Affordable Electricity Solution for Small-Scale Savings and Credit Cooperatives(SACCOs)
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作者 Xiaomei Lin Samuel Bimenyimana +14 位作者 ChenWang Godwin Norense Osarumwensa Asemota Jeanne Paula Ihirwe Aphrodis Nduwamungu Etienne Ntagwirumugara Athanase Gace Changfu Yuan Yaowen Chen Changtai Li Shilpi Bora YiYi Mo Jiyu Lai Mabao Wu Yong Tang Merit M.Huang 《Energy Engineering》 EI 2023年第4期791-810,共20页
Renewable energy exploitation is among the development strategies set by the government of Rwanda on the roadmap to 2023/2024 universal electricity access and theUnitedNations plans by 2030.Numerous previous studies o... Renewable energy exploitation is among the development strategies set by the government of Rwanda on the roadmap to 2023/2024 universal electricity access and theUnitedNations plans by 2030.Numerous previous studies oncleanenergy technologies inRwandahavemostly focusedonhouseholds’usagebut there are currentlynostudies describing the feasibility of clean energy technologies for financial institutions.The skepticism on renewable energy in Africa was previously reported by some personnel.Having realized that most SACCOs(Savings and Credit Co-Operatives)in Rwanda use diesel technology for backup/emergency electricity supply,taking consideration of abundant solar resources in Rwanda,having seen the viability and feasibility studies from other countries of renewable energy for different institutions(financial included);thiswork uses theHOMEREnergy Software and the electricity load profile of a typical SACCO in Rwanda to analyse the affordability and viability of on-site renewable energy generation for SACCO in Rwanda.The results reveal that a solar PV systemwith storage can be the optimal solution(with levelized cost of electricity(LCOE)of 0.713$/kWh which is cheaper than 0.73$/kWh for diesel technology)for SACCOs located in both off-grid areas and grid-connected areas(with 0.041$/kWh LCOE which is lower than the current electricity tariff in Rwanda).The findings in this work can serve as basic tools/materials for policy drafters in Rwanda on how financial institutions can contribute to climate change mitigation through self-renewable energy exploitation. 展开更多
关键词 HOMER energy solar energy SACCO in Rwanda climate change mitigation
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基于IT2FNN-Q的苹果采摘机器人定位导航方法
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作者 张志伟 温耀龙 王晓晓 《农机化研究》 2026年第7期143-149,177,共8页
为提升苹果采摘机器人在复杂农业环境下的采摘成功率,结合实际工作环境需求,设计了一种苹果采摘机器人系统。首先,采用激光扫描和机器视觉得到苹果果实和障碍物的位置信息,实现目标物苹果和障碍物的快速识别和精准定位;然后,通过区间二... 为提升苹果采摘机器人在复杂农业环境下的采摘成功率,结合实际工作环境需求,设计了一种苹果采摘机器人系统。首先,采用激光扫描和机器视觉得到苹果果实和障碍物的位置信息,实现目标物苹果和障碍物的快速识别和精准定位;然后,通过区间二型模糊神经网络的模糊推理自适应能力和泛函逼近特性,并结合Q学习提出了多目标自主导航方法,完成了机器人系统的导航避障设计;最后,分别在仿真平台和实际应用中验证了算法的可行性。研究结果表明,所提方法对各种场景都有很好的泛化性能,在初始位置变化的情况下仍能保持良好的导航能力,在相同距离和相同路况下收敛时间总是最短;苹果采摘机器人能很好地完成避障导航工作,40次训练周期内,在226步后到达目标地点,用时为26.25 s。在实际应用中,完成一次采摘所需的平均时间为8.23 s,识别精度可达93.65%,实现了苹果采摘过程的高精度导航和智能控制,可为提升采摘效率、减轻人力负担和促进智慧农业发展提供有力支持。 展开更多
关键词 采摘机器人 机器视觉 导航 区间二型模糊神经网络 苹果
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