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Article

Integration of Open-Source URBANopt and Dragonfly Energy Modeling Capabilities into Practitioner Workflows for District-Scale Planning and Design

1
Building Technologies and Science Center, National Renewable Energy Laboratory, Golden, CO 80401, USA
2
Ladybug Tools LLC, Fairfax, VA 22031-0000, USA
3
Skidmore, Owings & Merrill, Chicago, IL 60604, USA
*
Author to whom correspondence should be addressed.
The author completed the research while at Skidmore, Owings & Merrill, but is at the Massachusetts Institute of Technology at the time of publishing.
The author completed the research while at the National Renewable Energy Laboratory, but is at Camus Energy at the time of publishing.
Academic Editor: Benoit Delinchant
Energies 2021, 14(18), 5931; https://doi.org/10.3390/en14185931
Received: 30 July 2021 / Revised: 14 September 2021 / Accepted: 15 September 2021 / Published: 18 September 2021
(This article belongs to the Special Issue Energy Efficiency of Buildings at the District Scale)
High-performance districts and communities offer opportunities for reducing energy use, emissions, and costs, and can be instrumental in helping cities achieve their climate goals. The design of such communities requires identification of opportunities early on and their re-evaluation throughout the planning process. There is a need for energy modeling tools that connect 3D Computer-Aided Design (CAD) platforms to simulation engines, enabling detailed energy analysis of districts within the workflows and tools used by practitioners. This paper introduces the Dragonfly and URBANoptTM combined toolset that supports the creation of urban models from a range of geometry formats typically used by designers and planners, and provides an integrated pathway to simulate district-scale energy systems. The toolset is piloted by a global architecture and master planning firm to evaluate several key urban-scale technical questions for the design of a district in Chicago. The findings indicate that, while energy savings can be achieved through traditional architectural studies and enhancements to individual building efficiency, the modeling toolset helps identify additional savings and insights that can be achieved when considering district-scale energy systems. Finally, this study demonstrates how the Dragonfly/URBANopt toolset can integrate with master planning workflows, thereby enabling an iterative performance-based design process. View Full-Text
Keywords: district- and community scale energy modeling; urban building energy modeling; high-performance district design; net zero districts and communities; grid-interactive efficient buildings; distributed energy resources; electric distribution system design; master planning district- and community scale energy modeling; urban building energy modeling; high-performance district design; net zero districts and communities; grid-interactive efficient buildings; distributed energy resources; electric distribution system design; master planning
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MDPI and ACS Style

Charan, T.; Mackey, C.; Irani, A.; Polly, B.; Ray, S.; Fleming, K.; El Kontar, R.; Moore, N.; Elgindy, T.; Cutler, D.; Roudsari, M.S.; Goldwasser, D. Integration of Open-Source URBANopt and Dragonfly Energy Modeling Capabilities into Practitioner Workflows for District-Scale Planning and Design. Energies 2021, 14, 5931. https://doi.org/10.3390/en14185931

AMA Style

Charan T, Mackey C, Irani A, Polly B, Ray S, Fleming K, El Kontar R, Moore N, Elgindy T, Cutler D, Roudsari MS, Goldwasser D. Integration of Open-Source URBANopt and Dragonfly Energy Modeling Capabilities into Practitioner Workflows for District-Scale Planning and Design. Energies. 2021; 14(18):5931. https://doi.org/10.3390/en14185931

Chicago/Turabian Style

Charan, Tanushree, Christopher Mackey, Ali Irani, Ben Polly, Stephen Ray, Katherine Fleming, Rawad El Kontar, Nathan Moore, Tarek Elgindy, Dylan Cutler, Mostapha S. Roudsari, and David Goldwasser. 2021. "Integration of Open-Source URBANopt and Dragonfly Energy Modeling Capabilities into Practitioner Workflows for District-Scale Planning and Design" Energies 14, no. 18: 5931. https://doi.org/10.3390/en14185931

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