Emissions Engineer

Open
VL Energy Ltd.
Calgary, Alberta, Canada
LB
Employer
(19)
4
Preferred learners
  • Canada
  • Academic experience or paid work
Categories
Engineering & manufacturing Data modelling Engineering project management Data science
Project scope
What is the main goal for this project?

An Emissions Engineer oversees compliance with environmental regulations regarding emissions, especially in industries like automotive or manufacturing. Their responsibilities involve conducting emissions tests, ensuring compliance, developing emission control technologies, managing data, and collaborating across teams to drive environmental sustainability within their industry.



What tasks will learners need to complete to achieve the project goal?


To successfully accomplish emission data calculation, students might need to undertake several tasks and activities:

  1. Data Collection: Gathering relevant information on emissions sources, such as vehicles, machinery, or industrial processes. This involves obtaining technical specifications, usage data, and emission factor data.
  2. Understanding Emission Factors: Learning about emission factors specific to different sources and pollutants. These factors help convert activity data (such as fuel consumption or production levels) into emissions data.
  3. Data Processing: Processing the collected data to ensure accuracy and consistency. This step involves organizing and formatting the data for calculations, which may include using spreadsheets or specialized software.
  4. Calculation of Emissions: Applying the emission factors to the activity data to compute the emissions. This involves multiplying activity data (like fuel consumption or production) by the corresponding emission factors to quantify pollutant emissions (e.g., CO2, NOx, particulate matter).
  5. Quality Control and Validation: Reviewing the calculated emissions data for accuracy, checking calculations, and validating results against established benchmarks or previous records to ensure reliability.
  6. Documentation and Reporting: Documenting the methodology used for calculations, summarizing the findings, and preparing reports or presentations to communicate the emission data effectively.
  7. Interpretation and Analysis: Analyzing the calculated emissions data to identify patterns, trends, or areas for improvement. This step involves interpreting the results to draw conclusions and potentially suggest strategies for emission reduction.
  8. Recommendations: Based on the analysis, proposing recommendations or strategies for mitigating emissions, improving efficiency, or complying with environmental regulations.

By completing these tasks and engaging in these activities, students will gain hands-on experience in collecting, processing, calculating, and analyzing emission data. Additionally, they will develop skills in data management, analysis, and reporting, essential for addressing environmental challenges and promoting sustainable practices.

  1. Project deliverables: Data Collection Report: A document outlining the gathered information on emissions sources, technical specifications, usage data, and emission factor data. This report showcases students' ability to gather and organize relevant information for emissions calculations.
  2. Emission Factors Documentation: Compilation of emission factors specific to different sources and pollutants. This demonstrates students' understanding of how these factors are applied in emissions calculations.
  3. Processed Data Set: Organized and formatted data ready for calculations, demonstrating students' proficiency in data processing using spreadsheets or specialized software.
  4. Emission Calculation Results: Calculated emissions data for various pollutants (e.g., CO2, NOx, particulate matter) based on the applied emission factors and activity data. This showcases students' ability to perform accurate calculations.
  5. Quality Control Report: Documentation of the quality control process, including checks for accuracy and validation against benchmarks or historical records, ensuring the reliability of calculated emissions data.
  6. Methodology Documentation: A detailed summary of the methodology used for calculations, including any assumptions made or specific formulas applied.
  7. Emissions Analysis Report: A comprehensive report summarizing the findings, analyzing patterns, trends, and areas for potential emission reduction or efficiency improvements based on the calculated data.
  8. Recommendations for Emission Mitigation: Concrete recommendations or strategies derived from the analysis, aiming to mitigate emissions, improve efficiency, or comply with environmental regulations.


How will you support learners in completing the project?

Employer Commitment:

Our company is committed to providing a minimum of 5 hours of mentorship per team. This mentorship will be tailored to address specific project challenges, offer career advice, and foster a supportive learning environment. The mentorship sessions aim to complement the technical guidance and ensure that students not only complete the project successfully but also gain valuable insights into real-world applications of their skills.


This combination of technical support, collaborative tools, and dedicated mentorship hours aims to empower students, fostering an environment conducive to their growth and success in completing the project.


Examples of mentorship:

These communication strategies aim to establish clear and consistent channels for interaction throughout the project. They provide students with the necessary information, support, and opportunities for engagement, ensuring a positive and collaborative experience.

Regular Communication:

  • [Please provide a description of how you will communicate with the student.]

Scheduled Meetings:

  • [Please provide a description of how frequently you will meet with the student to discuss progression.]

Resources:

  • [Please provide a description of the resources you will have available for the student.]


What skills or technologies will help learners to complete the project?
  1. Data Analysis: Proficiency in data analysis tools like Microsoft Excel, Python (Pandas, NumPy), or R for processing and analyzing large datasets to derive emissions calculations.
  2. Understanding Emission Factors: Knowledge of emission factors specific to different sources (vehicles, industrial processes) and pollutants (CO2, NOx, particulate matter) is crucial for accurate calculations.
  3. Data Management: Skills in managing and organizing datasets efficiently to ensure accuracy and reliability in emission calculations.
  4. Statistical Skills: Understanding basic statistical concepts helps in interpreting emissions data and identifying trends or outliers.
  5. Environmental Regulations: Familiarity with environmental regulations and guidelines related to emissions in different industries and regions is essential for ensuring compliance.
  6. Programming Skills: Basic programming skills in languages like Python or R can aid in automating data processing tasks and performing complex calculations.
  7. Critical Thinking: Ability to critically evaluate data, identify potential errors, and apply problem-solving skills to ensure accurate emission calculations.
  8. Communication: Strong communication skills for effectively presenting findings, documenting methodologies used, and explaining complex emission calculation processes to diverse audiences.
  9. GIS Tools (Geographic Information Systems): Understanding GIS software could be beneficial, especially for projects involving spatial analysis of emissions data.
  10. Environmental Science Knowledge: A foundational understanding of environmental science concepts related to emissions, pollutants, and their impact on the environment can provide valuable context.



Supported causes
Climate action
About the company

VL Energy was founded in 2014. VL Energy offers digital transformation and automation solutions for meeting evolving environment and regulatory compliance conditions through enabling industrial Internet of Things and applying Artificial Intelligence. We're a group of environmental engineers, energy efficiency specialists, and sustainable energy experts specialized in Air Emission, Regulatory Compliance and ESG system building.