2021
DOI: 10.3390/en14185931
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Integration of Open-Source URBANopt and Dragonfly Energy Modeling Capabilities into Practitioner Workflows for District-Scale Planning and Design

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… Show more

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Cited by 24 publications
(3 citation statements)
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“…This study adopted a performance-driven approach using simulation tools (Grasshopper interface plugins; Eddy3d, Ladybug, Dragonfly, Honeybee energy and UTCI) with validated simulation engines (EnergyPlus and OpenFOAM), following the guidelines of the latest studies [18,32,[43][44][45][46][47][48][49][50]. It included a modeling approach, which enables estimating the effects of the urban heat island effect on a microclimate using the validated data for estimating the OTC and EUI of the urban block design.…”
Section: Methodsmentioning
confidence: 99%
“…This study adopted a performance-driven approach using simulation tools (Grasshopper interface plugins; Eddy3d, Ladybug, Dragonfly, Honeybee energy and UTCI) with validated simulation engines (EnergyPlus and OpenFOAM), following the guidelines of the latest studies [18,32,[43][44][45][46][47][48][49][50]. It included a modeling approach, which enables estimating the effects of the urban heat island effect on a microclimate using the validated data for estimating the OTC and EUI of the urban block design.…”
Section: Methodsmentioning
confidence: 99%
“…Both programs start from the default program proposed for buildings intended for residential use characterized as Mid-rise Apartment by the ASHRAE programs, which then differ in the values of the parameters regarding electricity and gas consumption, losses due to thermal bridges, and the categories of HVAC systems. Table 1 reports the values considered for the two programs, defined according to standardized values reported in literature for traditional built heritage [37] used to carry out the energy simulations, whose results are shown in Figure 13.…”
Section: Energy Analysis At the District Scalementioning
confidence: 99%
“…Modelling external factors such as human behavior, economic development and weather [8,11,14,17] Considering novel energy technologies [11,14] x Improving existing methods [14] x Validating models [8] x Quantifying and handling uncertainty [10,11,17] x Considering data and geometry heterogeneity [13,18] x Balancing model resolution with data availability [17] Handling data gaps and data availability [10,11,14,19] x…”
Section: Technical and Economic Challengesmentioning
confidence: 99%