Next generation photovoltaics: Powering the Internet of Things

下一代光伏发电：为物联网提供动力

• 批准号: 2865025
• 金额: --
• 依托单位: Swansea University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2865025
• 关键词: Next; generation; photovoltaics; Powering; Internet

Description:The rise of the Internet of Things (IoT) demands sustainable power solutions. Traditional batteries, with their environmental concerns and limited lifespans, are not ideal. This project explores the potential of next-generation photovoltaics, particularly dye-sensitized solar cells, as a sustainable power source for IoT devices.Objectives:Low-light Performance: Harness the unique low-light energy harvesting capabilities of organic, perovskite, and dye-sensitized solar cells to ensure consistent power supply to IoT devices, even in sub-optimal lighting conditions.Module Development: Design and manufacture energy-harvesting solar cell modules tailored for IoT applications. These modules will prioritize efficiency, durability, and adaptability to various device configurations.Real-world Integration: Collaborate with electronic engineers to integrate the developed photovoltaic modules into actual IoT devices, ensuring seamless energy supply and device functionality.Cross-disciplinary Collaboration: Engage in a dynamic research environment, leveraging expertise from the ATIP and GENERATION projects, and partnering institutions like Swansea University, Imperial College London, and Oxford University.Outcomes:Development of efficient dye-sensitized solar cells optimized for low-light conditions.Creation of adaptable solar modules for diverse IoT devices.

物联网（IoT）的兴起需要可持续的电力解决方案。传统的电池，由于其环境问题和有限的寿命，并不理想。该项目旨在探索下一代光电池，特别是染料敏化太阳能电池作为物联网设备可持续电源的潜力。目标：低光照性能：充分利用有机、钙钛矿和染料敏化太阳能电池独特的低光照能量收集能力，确保物联网设备即使在次优光照条件下也能持续供电。设计和制造专为物联网应用量身定制的能量收集太阳能电池模块。这些模块将优先考虑效率、耐用性和对各种设备配置的适应性。真实世界的集成：与电子工程师合作，将开发的光伏模块集成到实际的物联网设备中，确保无缝的能源供应和设备功能。参与动态的研究环境，利用ATIP和GENERATION项目的专业知识，并与斯旺西大学等机构合作，伦敦帝国理工学院伦敦和牛津大学。成果：开发针对弱光条件优化的高效染料敏化太阳能电池。为各种物联网设备创建适应性强的太阳能模块。