ME1

Numerical modeling of industrial energy systems in TRNSYS18

2 days, 14 hours Duration

Training mode

Closed training

Course level

ME1

Prerequisites

TRNSYS18 software license on the client's side
basic knowledge of issues related to energy and energy equipment
basic knowledge of scripting programming languages

Course Objective

Training objectives

Can build a numerical model of an energy installation in TRNSYS18
Can implement system control
Has knowledge of the analysis of data from simulations
Is able to conduct an economic analysis of a given solution

Target group:

Heating/cooling installation designers
Energy companies
Companies providing consulting services in the field of energy installations
Employees/students of technical universities

Course program

day 1

Block 1: Introduction to TRNSYS (1,5 hours)

Introducing the TRNSYS package and its capabilities
Graphical interface overview
Overview of the device model database implemented in TRNSYS
Good practices in creating numerical simulations
Where to go for help?

Block 2: Exercise: building the first numerical model (2,5 h)

Discussion of the assumptions of the modeled system
Selecting components from the TRNSYS database
Identification of parameters of individual components
Mapping the system hydraulics
Implementation of basic control

Block 3: Postprocessing of results (1,5 h)

Unit conversion
Data visualization
Exporting data to text files
Extended postprocessing using Python

Block 4: Weather data for simulation (1,5 hours)

Where to get weather data?
Overview of solutions implemented in TRNSYS
Exercise: Importing Publicly Available Data
Exercise: Implementing your own weather data

day 2

Block 5: Advanced model control methods in TRNSYS (2h) Overview of implemented solutions

Creating your own drivers in Excel
Creating your own drivers in Python
Exercise: Implementing a Python script in the TRNSYS model

Block 6: Exercise: Building an advanced numerical model (2,5 hours)

Discussion of the assumptions of the mapped, complex system
Import of meteorological data
Introduction of dependence on meteorological conditions
Adding control via Python script
Visualization and export of results

Block 7: Advanced data analysis (2,5 hours)

Introduction to Economic Analysis
Assumptions necessary to perform LCOE/LCOH calculations
Selection of relevant data from simulations
Using the obtained data to conduct economic analysis
Process automation in Python

NO Online

Closed training Training mode

YES Certificate

Gliwice, EMT-System headquarters or customer's headquarters Training location See the map

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Ask about training

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with an individual deadline,
cost, place and program. Ask about the course

Training objectives

After completing the training, the participant:

Can build a numerical model of an energy installation in TRNSYS18
Can implement system control
Has knowledge of the analysis of data from simulations
Is able to conduct an economic analysis of a given solution

Heating/cooling installation designers
Energy companies
Companies providing consulting services in the field of energy installations
Employees/students of technical universities

By requirements

TRNSYS18 software license on the client's side.
basic knowledge of issues related to energy and energy equipment.
basic knowledge of scripting programming languages

Training program

1. Block 1: Introduction to TRNSYS (1,5 hours)

Introducing the TRNSYS package and its capabilities
Graphical interface overview
Overview of the device model database implemented in TRNSYS
Good practices in creating numerical simulations
Where to go for help?

2. Block 2: Exercise: building the first numerical model (2,5 h)

Discussion of the assumptions of the modeled system
Selecting components from the TRNSYS database
Identification of parameters of individual components
Mapping the system hydraulics
Implementation of basic control

3. Block 3: Postprocessing of results (1,5 h)

Unit conversion
Data visualization
Exporting data to text files
Extended postprocessing using Python

4. Block 4: Weather data for simulation (1,5 hours)

Where to get weather data?
Overview of solutions implemented in TRNSYS
Exercise: Importing Publicly Available Data
Exercise: Implementing your own weather data

Certificate

Upon completion of the training, each participant receives a bilingual, personalized certificate descriptively confirming the acquired skills in accordance with the PN-EN ISO 9001:2015 quality management system implemented at EMT-SYSTEMS Sp. z o.o. , supervised and certified by TUV Nord Polska.