Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

Enhancing EnergyPlus Simulation Capabilities through Extended API Integration

Authors
Akash Kota Raju1, *
1New York University, New York, USA
*Corresponding author. Email: ak9381@nyu.edu
Corresponding Author
Akash Kota Raju
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_53How to use a DOI?
Keywords
API integration; energyplus; dynamic data integration; simulation
Abstract

This paper discusses the development and integration of advanced Application Programming Interfaces (APIs) into EnergyPlus, a widely used building energy simulation software. The APIs, including functional, runtime, and data exchange categories, enable enhanced inter- action with EnergyPlus simulations through external scripting and real-time data exchange. These enhancements broaden EnergyPlus’ utility by facilitating complex control strategies, dynamic data integration, and interoperability with external tools and frameworks, thus advancing its capabilities in building energy performance analysis and simulation.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_53How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Akash Kota Raju
PY  - 2025
DA  - 2025/07/17
TI  - Enhancing EnergyPlus Simulation Capabilities through Extended API Integration
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 703
EP  - 720
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_53
DO  - 10.2991/978-94-6463-787-8_53
ID  - Raju2025
ER  -