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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.09130 |
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| _version_ | 1866911103009685504 |
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| author | Gaikwad, Ninad Dettlaff, Kasey P, Athul Jose Dubey, Anamika |
| author_facet | Gaikwad, Ninad Dettlaff, Kasey P, Athul Jose Dubey, Anamika |
| contents | We present a new open-source, GUI-based application created using Plotly-Dash, along with an integrated PostgreSQL-based relational database, developed to streamline EnergyPlus building model simulation workflows. The application facilitates data generation, aggregation (across thermal zones), and visualization based on customizable user preferences, while the database efficiently stores and retrieves complex simulation data generated by EnergyPlus. We demonstrate the need for this application and database, emphasizing how existing approaches for generating, managing, and analyzing EnergyPlus simulation data can be cumbersome, particularly when handling a large number of building models with varying simulation setups. This integrated framework enables building energy engineers and researchers to simplify their EnergyPlus simulations, manage generated simulation data, perform data analyses, and support data-driven modeling tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_09130 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | An Open-Source Simulation and Data Management Tool for EnergyPlus Building Models Gaikwad, Ninad Dettlaff, Kasey P, Athul Jose Dubey, Anamika Systems and Control We present a new open-source, GUI-based application created using Plotly-Dash, along with an integrated PostgreSQL-based relational database, developed to streamline EnergyPlus building model simulation workflows. The application facilitates data generation, aggregation (across thermal zones), and visualization based on customizable user preferences, while the database efficiently stores and retrieves complex simulation data generated by EnergyPlus. We demonstrate the need for this application and database, emphasizing how existing approaches for generating, managing, and analyzing EnergyPlus simulation data can be cumbersome, particularly when handling a large number of building models with varying simulation setups. This integrated framework enables building energy engineers and researchers to simplify their EnergyPlus simulations, manage generated simulation data, perform data analyses, and support data-driven modeling tasks. |
| title | An Open-Source Simulation and Data Management Tool for EnergyPlus Building Models |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2508.09130 |