Title: Research on power optimization strategies of photovoltaic array on highway pavement under the dynamic random vehicle shading conditions
As a new trend of photovoltaic (PV) power generation comprehensive utilization project, "PV + expressway" is in the embryonic stage of development. Compared with the traditional PV power generation system, the shadow distribution of vehicles with strong random uncertainty and rapid change speed is formed by the high-speed driving vehicles in the PV highway. On the one hand, it is easy to induce the series and parallel mismatching of the pavement PV arrays, resulting in the power losses. On the other hand, it leads to the complex fast changing multi peak phenomenon of the output characteristics of the pavement PV arrays, increases the difficulty of maximum power point tracking control, and further intensifies the power losses. In order to solve the above problems, this project takes highway the pavement PV array as the research object, explores vehicle shadow distribution of PV highway based on vehicle traffic flow theory, establishes multi scene mathematical model of highway pavement PV array, analyzes output characteristics and maximum power point distribution of the pavement PV array under dynamic random vehicle shadow, and studies the optimal design of the pavement PV array configuration based on the reverse analysis method and the maximum power point tracking strategy of the pavement PV array based on self leading algorithm library. The purpose of this project is to reduce the power loss of the highway pavement PV array under the shadow of dynamic random vehicles, improve the power generation efficiency of pavement PV array, and lay a theoretical foundation for the development and application of PV highway, which has important engineering value and scientific significance.
Mingxuan Mao received the Ph.D. degree in control theoryand control engineering at Chongqing University in 2017.From June 2016 to June 2017, he was a visiting scholar in University of Leeds, Leeds, U.K., where he was engaged in research on advanced control theory and applications for renewable power generation and power electronics. His research interests include renewableenergy systems, power electronics converterand artificial intelligence algorithm.
Title: Why Decentral Hydrogen?
Decentral hydrogen is introduced as fast transition path to short and long-term power storage. It circumvents slow infrastructure installments and enables on-site storage and heat coupling in addition to direct use of local electric power. The power-to-gas approach is extended to small combined heat and power devices in buildings that alternately operate fuel cells and electrolysis. While their heat is used to replace existing fossil heaters on-site, the power is either fed into the grid or consumed via heat-coupled electrolysis to balance the grid power at the nearest grid node. In detail, the power demand of Germany is simulated as a snapshot for 2030 with 100% renewable sourcing. The standard load profile is supplemented with additional loads from 100% electric heat pumps, 100% electric cars, and a fully electrified industry. The renewable power is then scaled up to match this demand with historic hourly yield data from 2018/2019. An optimal mix of photovoltaics, wind, biomass and hydropower is calculated in respect to estimated costs in 2030. In most master plans, hydrogen is understood to be a substitute for fossil fuels. This talk focuses on hydrogen as a storage technology in an all-electric system. The target is to model the most cost-effective end-to-end use of local renewable energies, including excess hydrogen for the industry. The on-site heat coupling is the principal argument for decentralization here. Essentially, it flattens the future peak from exclusive usage of electric heat pumps during cold periods. Batteries are tried out as supplementary components for short-term storage, due to their higher round trip efficiencies. Switching the gas net to hydrogen is considered as an alternative to overcome the slow infrastructure expansions. Further decentral measures are examined in respect to system costs.
Paul Grunow has completed his Ph.D at the age of 30 years from Technical University Berlin and Helmholtz-Zentrum Berlin and postdoctoral studies from the COPPE/UFRJ in Rio de Janeiro, Brazil. He is the general manager of Trinity Solarbeteiligungen GmbH, an investment company in renewable energies. Before, he co-founded three companies in the area of photovoltaics based in Berlin, i.e. Solon, Q-Cells, PI Photovoltaik-Institut Berlin. He has published more than 12 papers in reputed journals.
Title: Advanced remote sensing methods for environmental development monitoring
This research presents advanced remote sensing methods and techniques for monitoring and analysis of environmental development. The research deals with novel state-of-the-art technology for spatial data collection based on satellite imagery as well as unmanned aerial vehicles (UAVs). Preprocessing, classification of satellite and aerial imageries, as well as methods for the land-cover mapping, environmental monitoring, and environment development analysis will be shown and explained in real cases. Furthermore, some methods (and measures) for the accuracy assessment of the land-cover classification and remotely sensed measured and collected values will be discussed. The entire process of environmental development monitoring will be shown on real case studies. All newly developed and presented methodology was based on the open-source software and tested on the open-source data. Therefore, presented procedures can be easily used, free of charge, in the environmental development monitoring and analysis of various applications and areas around the world.
Professor Mateo Gasparovic, Ph.D. is the head of the chair of photogrammetry and remote sensing of the faculty of geodesy, University of Zagreb. As a scientist, Prof. Gasparovic actively works on the development and application of advanced remote sensing and photogrammetry methods in environmental science, geoinformation system, documentation of cultural heritage and the development of UAVs.
Title: Modeling and Control of Power Electronic Converters for Microgrid Applications
Sulaiman Alyahya is an academic professor by by profession and works with one of the govrnment univerities in Saudi Arabia. He holds a BSc in Agricultural engineering from King Saud University (Saudi Arabia) and MSc and PhD in agricultural engineering from Iowa State University(USA). Sulaiman has 30 years of experience in education, research and administration. Curently, his main interest is in biomass energy. Sulaiman grew up in one of the agricultural cities of Saudi Arabia