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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 PowerTech Conference, Madrid (España). 27 junio 2021


Resumen:

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.


Resumen divulgativo:

Este documento describe el enfoque de la integración de una herramienta de red de distribución sintética (RNM-US) con URBANopt ™, un kit de desarrollo de software modular para el modelado térmico y eléctrico de edificios y sistemas de energía a escala de distrito.


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


Fecha de publicación: junio 2021.



Cita:
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 PowerTech Conference - PowerTech 2021, Madrid, España, 27 Junio - 02 Julio 2021.


    Líneas de investigación:
  • Redes inteligentes

IIT-21-067C

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