报告题目：Mathematical and Statistical Tools for Energy Meteorology
主讲人：John Boland 南澳大学，教授，博导，应用数学中心主任。
时 间：2018年9月27日上午10:00—11:30
地 点：江宁校区勤学楼5208
ABSTRACT：
I will discuss two tools that I and colleagues have developed to aid energy analysis:
1. The Boland-Ridley-Lauret (BRL) diffuse radiation model
The Australian National Home Energy Ratings Scheme (NatHERS) is used to assign star ratings to a house design, and currently a rating of six stars out of ten is needed for approval. For evaluating the star rating, knowledge of the three components of solar radiation are needed. They are global radiation on a horizontal surface (GHI) and its contributing factors of direct and diffuse. In a similar manner, to optimise the location of a solar farm, one also needs knowledge of all three. Often only global is available, either measured or inferred from satellite images. The BRL model has wide usage in splitting global into the two components. I will describe a recent use of BRL in Brazil.
http://www.sciencedirect.com/science/article/pii/S0960148117301635
2. Short term probabilistic solar forecasting tool.
This is in the time scale of a few minutes to 1-2 hours.
http://www.sciencedirect.com/science/article/pii/S0038092X16300342
In this part, I will talk about not only solar energy forecasting but also predicting the output from a solar farm, and how this differs from the former.
个人简介：
Professor John Boland graduated with a PhD in Applied Mathematics in 1996 from University of Adelaide, focusing on modelling heat flows in domestic dwellings. He utilises sophisticated mathematical, statistical and time series techniques to develop tools to solve problems, particularly those to do with enhancing environmental and ecological outcomes. The result of this is that he has wide ranging applications of this approach to applying rigorous mathematical techniques to real world situations. Thus, his seventeen nationally competitive grants, including eight ARC Discovery and Linkage, since 2000 cover a diversity of fields from water resource management, renewable energy and its integration into the electricity grid, building thermal analysis, food waste reduction, solar and wind energy forecasting, climate change adaptation, to ecosystem regeneration. He has had twenty-seven PhD students successfully complete, and they have been involved in about half of his 190 research publications. He led the Urban Microclimates Project for the Cooperative Research Centre for Low Carbon Living, 2014-2017. He has also been member of the research team to develop the Australian Solar Energy Forecasting System, and was an Australian representative on the International Energy Agency Task 46 on solar forecasting and now is a member of Task 16 on high penetration photovoltaic installations.
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2018-9-24