A Review of Predictive Software for the Design of Community Microgrids. (20th February 2018)

• Record Type: Journal Article
• Authors: Rahimian, Mina; Iulo, Lisa D.; Duarte, Jose M. Pinto
• Other Names: Wang Dan Academic Editor.
• Is Part Of: Journal of engineering. Volume 2018(2018)
• Publication Date: 2018-02-20
• Subjects: Engineering -- Periodicals; 620.005
• DOI: 10.1155/2018/5350981
• Languages: English
• ISSNs: 2314-4904

Abstract

Abstract : This paper discusses adding a spatial dimension to the design of community microgrid projects in the interest of expanding the existing discourse related to energy performance optimization measures. A multidimensional vision for designing community microgrids with higher energy performance is considered, leveraging urban form (superstructure) to understand how it impacts the performance of the system's distributed energy resources and loads (infrastructure). This vision engages the design sector in the technical conversation of developing community microgrids, leading to energy efficient designs of microgrid-connected communities well before their construction. A new generation of computational modeling and simulation tools that address this interaction are required. In order to position the research, this paper presents a survey of existing software packages, belonging to two distinct categories of modeling, simulation, and evaluation of community microgrids: the energy infrastructure modeling and the urban superstructure energy modeling. Results of this software survey identify a lack in software tools and simulation packages that simultaneously address the necessary interaction between the superstructure and infrastructure of community microgrids, given the importance of its study. Conclusions represent how a proposed experimental software prototype may fill an existing gap in current related software packages.