碳中和学术论坛第11期

发布者:李国栋发布时间:2024-08-14浏览次数:51



报告题目Short-term PV energy yield predictions for optimum grid management

主讲人Associate Prof. Alexandros Charalambides

时间20249131100

地点:杭电文一校区新东教3楼会议室

报告摘要:

      The global shift towards the exploitation of renewable energy sources is a key aspect in the transition to carbon-free societies. Although harnessing of PV energy disclosed the numerous environmental and economic benefits of PV systems, the ever-increasing share of PV systems in power generation has revealed their adverse effect on the electricity grid due to their dependence on weather conditions. Uncertain environmental parameters, especially cloud cover, can adversely affect the stability of the energy generated by a PV system, causing dynamic changes in PV power generation in a given future time period. Therefore, accurate predictions of PV power output are a major challenge, as they can contribute to the optimal management and flexibility of the power grid, and to the improvement of the operating efficiency of PV power stations, thus enabling the development of flexible green power electricity grids across cities. In addition, precise forecasting can provide system/grid operators with information needed for efficient capacity management and scheduling and ensure grid stability. Forecasting models provide promising results in terms of error performance; however, they need weather variables or satellite information as inputs that make prognosis significantly challenging. Our current work utilizes a data-driven method for predicting PV power generation from distributed PV systems. Continuous data from a grid-connected dense network of PV systems was used within a region of Nicosia, Cyprus. The results showed that the predicted power output signal responds to the fluctuation and follows the trend of the actual power signal, even on days with large variations in actual PV power. Overall, the proposed method can provide important information that can assist in decision-making for the management, optimization, and visualization of grids across cities.


嘉宾简介:

        Dr Alexandros Charalambides (M), is an Associate Professor at the Cyprus University of Technology, working primarily on predicting energy production from solar systems and how innovation and entrepreneurship can assist in the global efforts for decarbonization. He holds a PhD in Mechanical Engineering from Imperial College London and in 2022 was the recipient of a Fulbright Visiting Scholarship to work at the School of Industrial Engineering at Purdue University. He served on the Board of the International Solar Energy Society, and from 2024, he serves on the Board of the Electricity Authority of Cyprus. He is also the founder of Chrysalis LEAP, the first cleantech accelerator in Cyprus, and has trained more than 200 entrepreneurs on how to go from a research idea to a viable business. During his employment at the Cyprus University of Technology, he has successfully completed/currently run a plethora of research projects (from EU, national and private funding sources), focusing on various aspects of sustainable development and entrepreneurship.