基于Modelica的建模仿真技术在供热领域的应用OA

The research progress on the application of Modelica-based modeling and simulation technology in the field of heating is summarized.The Modelica lan-guage is an ideal modeling language in engineering,which seamlessly supports physical and control design and facilitates collaboration among tools across differ-ent domains.Model libraries developed based on Mod-elica provide foundational models for studying the re-newable energy integration in heating systems,while the simulation software developed using Modelica of-fers platform support for the modeling,simulation,and control optimization of heating systems.In the field of fault detection and diagnosis,Modelica models provide accurate,controllable,and low-cost fault scenario data,serving as high-quality training samples for artificial neural networks.In control optimization problems,Modelica models provide computationally efficient,ac-curate,and stable dynamic models for advanced con-trol algorithms.Co-simulation methods offer feasible approaches for research on renewable energy integra-tion and fault diagnosis.To fully leverage the advan-tages of the Modelica language,further research is needed in the development of open-source libraries and the construction of complex models.By combining artificial neural network algorithms,the transition from physics-based models to data-centric models can be achieved to enhance the optimization efficiency of heat-ing system frameworks.