摘要：Interfacial solar steam generation is an efficient water evaporation technology which has promising applications in desalination,sterilization,water purification and treatment.A common component of evaporator design is a thermal-insulation support placed between the photothermal evaporation surface and bulk *** configuration,common in 2-dimensional(2 D)evaporation systems,minimizes heat loss from evaporation surface to bulk water,thus localizing the heat on the evaporation surface for efficient *** design is subsequently directly adopted for 3-dimensional(3 D)evaporators without any consideration if it is ***,unlike 2 D solar evaporators,the 3 D evaporators can also harvest additional energy(other than solar light)from the air and bulk water to enhance evaporation *** this scenario,the use of thermal insulator support is not proper since it will hinder energy extraction from ***,the traditional 3 D evaporator configuration was completely redesigned by using a highly thermally conductive material,instead of a thermal insulator,to connect evaporation surfaces and the bulk *** higher evaporation rates were achieved by this strategy,owing to the rapid heat transfer from the bulk water to the evaporation *** and outdoor tests both confirmed that evaporation performance could be significantly improved by substituting a thermal insulator with thermally conductive *** findings will redirect the future design of 3 D photothermal evaporators.

摘要：Interfacial solar-steam generation is a promising and cost-effective technology for both desalination and wastewater *** process uses a photothermal evaporator to absorb sunlight and convert it into heat for water *** solar-steam generation can be somewhat inefficient due to energy losses via conduction,convection and ***,efficient energy management is crucial for optimizing the performance of solar-steam ***,via elaborate design of the configuration of photothermal materials,as well as warm and cold evaporation surfaces,performance in solar evaporation was significantly *** was achieved via a simultaneous reduction in energy loss with a net increase in energy gain from the environment,and recycling of the latent heat released from vapor condensation,diffusive reflectance,thermal radiation and convection from the evaporation ***,by using the new strategy,an evaporation rate of 2.94 kg m^-2 h^-1,with a corresponding energy efficiency of solar-steam generation beyond theoretical limit was achieved.

摘要：船舶在海上运动是一种复杂的非线性运动,其水动力系数很难精确确定,而海洋环境的随机干扰因素也在不断地发生变化,因此需要研究具有鲁棒性和自适应能力的船舶动力定位控制技术。P ID控制在优化参数的条件下,对于能够建立精确数学模型的确定性系统具有鲁棒性好和可靠性高的特点,但对于船舶运动这样复杂的非线性系统其控制效果不理想,而神经网络具有自学习和自适应能力,因此需要结合两者的特点,设计自适应能力强、鲁棒性好的控制技术。本文研究了基于DRNN神经网络的PD混合控制技术,并将其应用到船舶动力定位系统。仿真结果表明该方法有效,且具有较好的鲁棒性和自适应能力,提高了动力定位系统的精度和性能。