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Integration of Open-Source URBANopt and Dragonfly Energy Modeling Capabilities into Practitioner Workflows for District-Scale Planning and Design
Name
energies-14-05931-v2.pdf
Size
5.36 MB
Format
Adobe PDF
Checksum (MD5)
d9d068ec7770fad51530a2470a9d4a72
Author(s)
Charan, Tanushree
Mackey, Christopher
Irani, Ali
Polly, Ben
Ray, Stephen
Fleming, Katherine
El Kontar, Rawad
Moore, Nathan
Elgindy, Tarek
Cutler, Dylan
Date Issued
September 18, 2021
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Energies 14 (18): 5931 (2021)
Version
Final published version
Abstract
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.
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.3390/en14185931
