Vina Rahimian, a Doctoral Candidate in Architecture at Penn State and member of GRID, will give a presentation about her doctoral research and her summer appointment at the University of Lisbon in Portugal. The presentation will be on Friday, October 5th, 10:30 am, at the SCDC.
Title of research:
A data mining model and a real-time predictive software prototype for the spatial design and planning of high energy performance community microgrids
Description of research:
To date, studies on energy performance in community microgrids have been limited to overcoming technical issues and operational efficiency of electrical components at the supply and demand side of a microgrid system. This is despite the fact that numerous energy planning studies have emphasized the impact of urban form on the amount of energy consumed by buildings in communities, and on the feasibility of adopting onsite renewable energy generators. The aim of the proposed research is to add a spatial dimension to measuring energy performance, by developing a data-mining model and real-time predictive software prototype that enhances the spatial design and planning of community microgrids towards a higher energy performance.
In order to provide the data needed for developing the data mining model, a generative design system has been developed to generate urban design alternatives for any given region. This presentation talks about the different urban typologies of the selected case study, explains their representative urban grammar, and discusses the conversion of the grammar into a generative design system.