Go top
Conference paper information

Integrated models for electrical distribution network planning and district-scale building energy use

L. De Rosa, C. Mateo, T. Gómez, R. El Kontar, B. Polly, K. Fleming, T. Elgindy

14th IEEE PowerTech Conference - PowerTech 2021, Madrid (Spain) Online. 27 June - 02 July 2021


Summary:

The increase of greenhouse emissions caused by a rise in global energy consumption is pushing the scientific community to develop tools that address key environmental, techno-economic and social issues. One specific area of focus is to create tools that enable the design of high-performance energy districts, including grid-interactive efficient buildings and electrical distribution infrastructure. This paper outlines the approach of integrating a synthetic distribution network tool (RNM-US) with URBANopt™, a modular and customizable software development kit for thermal and electrical modelling of buildings and energy systems at a district scale. First, we describe the algorithms implemented to integrate RNM-US with URBANopt to automatically generate the distribution network for the district considered. Following, we present a case study for the potential uses of the RNM-US integrations with URBANopt, highlighting the capabilities for economic and technical analysis of the distribution network built in relation to the electricity needs of the modelled buildings.


Keywords: Distribution Network Planning, Grid-Interactive Efficient Buildings, Smart Districts, URBANopt, RNM-US


DOI: DOI icon https://doi.org/10.1109/PowerTech46648.2021.9494767

Published in 2021 IEEE Madrid PowerTech, pp: 1-6, ISBN: 978-1-6654-1173-8

Publication date: 2021-06-27.



Citation:
L. De Rosa, C. Mateo, T. Gómez, R. El Kontar, B. Polly, K. Fleming, T. Elgindy, Integrated models for electrical distribution network planning and district-scale building energy use, 14th IEEE PowerTech Conference - PowerTech 2021, Madrid (Spain) Online. 27 June - 02 July 2021. In: 2021 IEEE Madrid PowerTech: Conference proceedings, ISBN: 978-1-6654-1173-8


    Research topics:
  • Smart grids

Request Request the document to be emailed to you.