For the 9th time DYNASTEE will organise a Summer School in 2020 on Dynamic Calculation Methods for Building Energy Performance Assessment. More than 190 PhD students and researchers have participated to the 8 preceding Summer Schools and their enthusiastic response has made us to decide to continue organising this dedicated course.
Dates: 8 -16 September 2020; it will be 6 + 1 day for Poster presentation of participants work. The course itself will last 3 days – weekend – 3 days. We have learned that a break is very much welcomed and a social event will be organised during the break.
Venue: CIESOL at the University of Almeria, Spain
Accommodation: the organisers will announce a special booking arrangement for early registrations together with the participation fee.
What is new: Arrival during the morning of 8 September. During the afternoon of the first day a get-to-know and poster presentation is scheduled. Participants and lecturers will learn about the work and level of experience of the participants on testing and analysis. Three days will be devoted to linear regression and discrete time methods (LORD) and after the weekend 3 days devoted to continuous time methods (like CTSM-R). The course concept will remain the same as in previous years which means, about half of the time is devoted to lectures and the other half to performing exercises using benchmark data.
Departure during the afternoon/evening of Wednesday 16 September.
What is DYNASTEE
The DYNASTEE Network (DYNamic Analysis, Simulation and Testing applied to the Energy and Environmental performance of buildings) is an informal grouping of organizations actively involved in the application of tools and methodologies applicable in this field. Often statisticians and mathematicians do not have the technical knowledge to correctly apply these dynamic techniques to physical processes, whilst engineers may not have adequate knowledge of the complex statistical and mathematical processes. Discussions, comparisons, training, guidance tools, and in general, accessible research infrastructures are required to keep the necessary skill at a high level. Furthermore, due to the wide range of scientific disciplines required for analysing the complexities of the performance of an occupied building in a real outdoor environment, it is difficult and expensive for any one institute, organisation or university to maintain all the required knowledge in-house. As such, whilst the dynamic analysis and modelling techniques are able to deal with the non-linear processes associated with the energy performance of occupied buildings and are well suited for energy performance assessment, it is remains a necessity to provide an environment which allows direct and effective intercomparison of these techniques and the results of their implementation.