Senior Building Systems Modeling Engineer

3 hours ago


Saint Paul, Minnesota, United States Trane Technologies Full time
Job Overview

We are seeking a highly skilled Senior Building Systems Modeling Engineer to join our team at Trane Technologies. As a key member of our Model & Simulation Network of Excellence, you will be responsible for developing and deploying advanced models for building energy systems, including HVAC equipment, building energy models, and distributed energy resources.

Key Responsibilities:

  • Develop and deploy system-level models for building energy systems, including HVAC equipment, building energy models, and distributed energy resources.
  • Develop a comprehensive understanding of HVAC equipment operation in chilled and hot water heating systems designed for buildings, data centers, and various processed cooling and heating applications.
  • Apply expertise to develop detailed models that accurately reflect system design, analysis, control, and operations.
  • Demonstrate technical understanding of buildings and grid controls, demand management, energy conservation measures, and justify the impact on energy savings and CO2e reductions.
  • Develop and implement state-of-the-art physics/data-based system models to enable performance predictions and transient analyses.
  • Participate in long-term technology roadmap development discussions and build new external partnerships for Trane Technologies.
  • Actively seek external funding opportunities and provide technical inputs in project proposal development.
  • Work with internal and external partners in technical execution of long-term externally funded R&D projects.
  • Lead the evaluation of new and innovative technologies for potential commercial value.
  • Develop and communicate clear understanding of customer requirements and meet or exceed expectations.
  • Conceptualize and develop project ideas leading to new advanced capability development in related domain areas.
  • Network across the organization and externally to identify and communicate opportunities to apply system modeling and simulation to product design, applications, and processes.

Requirements:

  • Master's Degree in Engineering or Building Science or equivalent, with at least 3 years of modeling and/or simulation experience.
  • PhD with an emphasis in Thermodynamic/HVAC/building sciences is a plus.
  • Experience in HVAC systems modeling, building energy management systems, or HVAC equipment and controls.
  • Proficiency in MATLAB/Simulink or Modelica-based system modeling for at least 6 months.
  • Familiarity with data science, predictive modeling, and surrogate modeling techniques.
  • Knowledge or experience in applying HVAC system modeling and controls to data center applications is desirable.
  • Understanding of generative AI (LLM Agents) for RAG-based applications, machine learning, and predictive maintenance is desirable.
  • Experience with building modeling software such as Energy Plus/TRACE 3D+ is preferred.
  • Practical experience in closed-loop control for a minimum of 6 months, along with knowledge of multi-variable control.
  • Emphasis on computer programming or related experience is beneficial, particularly in C#/C++, Python, or Javascript.
  • Experience and familiarity working in a research-oriented environment is preferred.
  • Must be an innovative self-starter capable of setting and meeting goals and deadlines, and of making critical business decisions.
  • Excellent communication and teamwork skills are necessary.
  • Demonstrates intellectual curiosity and industrial awareness, capable of applying advanced approaches, technologies, and innovations in modeling and simulation for organizational advancement.

Compensation:

Base Salary: $94,000 - $125,000

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.



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