Master Thesis Model Predictive Control–Based Energy Management System (EMS) for an Office Building

Cloppenburg - Germany

Monthly Salary: Not Disclosed

Posted on: 22 hours ago

Vacancies: 1 Vacancy

Job Summary

Master Thesis: Model Predictive ControlBased Energy Management System (EMS) for an Office Building

With the increasing demand for residential comfort and the rising importance of energy cost optimization it is a major challenge to balance comfort economy and sustainable energy usage in residential buildings. Advanced energy management systems (EMS) provide a practical solution for achieving this goal.

This thesis will develop a Model Predictive Control (MPC)based EMS for a data-driven building model created using neural networks in MATLAB or Python. The building model will represent a modular office building including thermal zones a HVAC system a static heating system a cold water storage tank and an electric chiller for cooling. The MPC-based EMS will optimize pre-heating in winter and pre-cooling in summer taking into account electricity prices including the contribution of a photovoltaic (PV) system and the operation of thermal storage and cooling equipment.

Tasks:

Development of a neural networkbased building model capable of predicting thermal dynamics for heating and cooling scenarios
Design and implementation of a Model Predictive Controlbased EMS for Winter and Summer operations Considering:
- Pre-heating and pre-cooling strategies
- Cold water storage and electric chiller operation
- Static heating System
- HVAC System
- Dynamic electricity prices and PV generation

Qualification:

Knowledge in energy system analysis building modeling and control
Experience with MATLAB/Simulink or Python (essential for neural network modeling and MPC implementation)
Knowledge in machine learning (neural networks) and predictive control concepts
Mechanical Electrotechnical or Informatics background

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Master Thesis: Model Predictive ControlBased Energy Management System (EMS) for an Office BuildingWith the increasing demand for residential comfort and the rising importance of energy cost optimization it is a major challenge to balance comfort economy and sustainable energy usage in residential bu...