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The Boston Planning and Development Agency (BPDA) maintains a 3D model of the city as a visualization and analytical tool for understanding ideas related to the future of neighborhoods. The BPDA city model is constructed of several components: Terrain, Groundplan, and 3D models of buildings. Each of these components is shared in formats intended to facilitate collaboration between diverse communities who have an interest in understanding places in the city as they have changed or as they may be changed.

The U.S. Department of Energy (DOE) supports the development of commercial and residential building energy codes and standards by participating in industry review and update processes, and providing technical analyses to support both published model codes and potential changes. DOE publishes its findings in an effort to ensure transparency in its support, and to make its analysis available for public review and use.

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The suite of commercial prototype buildings covers 75% of the commercial building floor area in the United States for new construction, including both commercial buildings and mid- to high-rise residential buildings, and across all U.S. climate zones. As ASHRAE Standard 90.1 and IECC evolve, PNNL makes modifications to the commercial prototype building models, with extensive input from ASHRAE 90.1 Standing Standards Project Committee members and other building industry experts.

The zipped files in Tables 1 and 2 contain downloadable prototype models in compressed, zip, format for the respective edition of ASHRAE Standard 90.1 and IECC, respectively. Each zipped file includes EnergyPlus model input files (.idf) and corresponding output files (.htm) across all climate locations, as well as a scorecard spreadsheet (Microsoft Excel, .xlsx, format). The scorecard summarizes the building descriptions, thermal zone internal loads, schedules, and other key modeling input information for all 16 prototype buildings. The scorecard spreadsheet can be downloaded from this link . Table 3 contains the associated EnergyPlus TMY3 weather files for the 19 climate locations which can be downloaded from this zipped file.

Files may be downloaded either as complete packages, containing all building types, or by individual building type, either by specific Standard 90.1 or IECC editions or as complete sets from the tables below.

The energy models for the 2015, 2018, and 2021 editions of the IECC are listed in Table 4. Each compressed (.zip) file includes EnergyPlus model input files (.idf) and corresponding output files (.htm) for each of the eight climate zones (1-8) and three moisture regimes (A=Moist, B=Dry, C=Marine) defined in the IECC.

The energy models for the 2015, 2018 and 2021 versions of the IECC are listed in Table 4 and can be downloaded either by specific IECC edition or as complete sets by climate zone. The complete sets contain prototypes with earlier versions of the IECC. The idf files may be opened and modified in EnergyPlus.

The single family prototypes are now complete EnergyPlus files utilizing the airflow network for duct leakage modeling. Previous single family prototype models posted on the Energy Codes website did not contain duct leakage specifications. Calculating loads for duct leakage required multiple EnergyPlus simulations with and without duct leakage and post processing the results for both single family and multifamily buildings. As a result, there may be large differences in energy consumption when comparing the latest single family prototypes results to older prototype results downloaded from this website. The multifamily prototype models do not contain duct leakage specifications, and the duct leakage adjustment are applied during the post-processing. We are working on updating the MF models to incorporate the airflow network with duct leakage loops.

The energy models for the HUD, tier 1, and tier 2 of the final rule are listed in Table 6. Each compressed (.zip) file includes EnergyPlus model input files (.idf) and corresponding output files (.htm) for each of the nineteen climate locations list in Table 7 (as specified in Table 7.1 of the Manufactured Housing Technical Support Document).

XX = Configuration, either Single-Section (SC) or Multi-Section (MS)

Climate City = The name of the representative 19 climate city as listed in Table 7.1 of the TSD (e.g., SanFrancisco for San Francisco, CA)

CZ = Climate zone designator (e.g., CZ3C for climate zone 3, moisture regime C)

Code Edition = The name of the energy code: HUD for the HUD baseline code, and FinalRule for the final rule which includes both tier 1 and tier 2 of the final rule.

HeatingSystemType = One of four heating system types: electricfurnace for Electric Resistance, gasfurnace for Gas Furnace, oilfurnace for Oil Furnace or heatpump for Heat Pump

For example, MS_Baltimore_4A_HUD_heatpump.idf is the model idf file for multi-section HUD baseline code with heat pump heating system type at climate zone 4A represented by the weather file at Baltimore. Similarly, SS_Atlanta_3A_tier1_gasfurnace.idf is the model idf file for single-section tier 1 of the final rule with gas furnace system type at climate zone 3A represented by the weather file at Atlanta.

The energy models for the HUD and the final rule are listed in Table 6 and can be downloaded either by specific code edition (i.e., HUD or Final Rule) or as complete sets by either each of the climate zone (all rows beside the last row of Table 6) or all the climate zones (last row of Table 6). The idf files may be opened and modified in EnergyPlus.

The energy models posted do not contain separate models for assessing the impact of the duct leakage specifications. Calculating loads for duct leakage required multiple EnergyPlus simulations with and without duct leakage and post processing the results for the single-section and double-section buildings.

I would like to know how to make one, face and control point simplified model out of it. There should be one polysurface object when the building blocks are physically connected. Later on, I would like to start 3d printing with the geometry.

ArcGIS CityEngine is advanced 3D modeling software for creating massive, interactive, and immersive urban environments in less time than with traditional modeling techniques. The cities you create using ArcGIS CityEngine can be based on real-world geographic information system (GIS) data or showcase a fictional city of the past, present, or future. Bring the powerful procedural city generation of ArcGIS CityEngine into your favorite tools for urban design using its many integrations.

Make 3D models to show planned changes and alternate designs. Inform your designs with 3D representations of regulatory and land-use conditions. Share multiple design alternatives with your team or stakeholders to gather feedback.

ArcGIS CityEngine integrates with your current creation pipeline. Bring in hero buildings or other assets to build 3D context around them. Export work back into your high-end visualization software or game engines. Automate workflows with procedural scripting and Python.

ArcGIS CityEngine is a stand-alone desktop application that can import any geospatial vector data to jump-start your city creation. ArcGIS CityEngine fully supports the Esri file geodatabase (including textured multipatches) and Esri shapefile format. Connect ArcGIS CityEngine to ArcGIS Online to bring in 3D terrain data and basemaps and to publish your 3D scenes in the cloud. Or combine it with your favorite urban design tools using our plug-ins and APIs.

City governments and their partners are increasingly focusing on the development of urban energy efficiency strategies for buildings as a key component to meet policy-driven carbon reduction targets. Similarly, energy utilities and suppliers need to develop long term supply strategies that are cost efficient and resilient against natural and manmade interferences. To support these diverse needs, a new generation of urban building energy models (UBEM) is currently being developed for the estimation of citywide hourly energy demand loads down to the individual building level. However, for cities to apply them, effective modeling workflows adapted to their current urban data structures need to be provided.

Within this context, the authors collaborated with the Boston Redevelopment Authority (BRA) and local building experts to develop a citywide UBEM based on the official GIS dataset of the city. The vision for this work was to produce a long term policy support tool that the city could regularly update going forward, and that provides actionable information for local communities to evaluate energy related decisions. The Boston model was developed with support from the Massachusetts Clean Energy Center (MassCEC).

When it comes to 3D city modeling, it is not only focused on building infrastructure; however, it also focuses on maintaining the terrain, city management, and monument preservation. In short, it can be said that 3D city modeling works positively to encourage urban planning along with proper city management.

3D modeling includes some of the targeted areas in development that include disaster management, homeland security, automobile and pedestrians routing, landscape and urban planning, architectural, environmental simulations, and wireless telecommunications.

3D city models that have been semantically enhanced have the potential to be significant centers of integrated data for computer-based urban spatial analysis. As digital representations of cities, 3D city models can be used for a variety of purposes, including urban wind and dispersion simulations, noise studies, energy studies, and other forms of study that need a proposed architectural design to be placed in its context. 006ab0faaa