Uppsats
Air Recirculation System for Electrolyte Filling Room : A CFD study of VOCs Distribution in Clean & Dry room
Master-uppsats
KTH/Skolan för industriell teknik och management (ITM)
Publicerad: 2022
Språk: Engelska
Sammanfattning
Energy storage development is an important step for the energy transition, meanwhile Lithium-ion battery is the most common core component of electric vehicles. Over the past decade, investment has been poured into lithium-ion battery production, as a result, the production environment (Clean & Dry room) used for some processes such as Stacking, Electrolyte filling and so on and the energy consumption to maintain this special environment which precise control of air humidity and air cleanliness have become major concerns. In this study, only one production process is concerned: electrolyte filling. During this process, Volatile Organic Compounds(VOCs) are the substance that affects air quality, also it is the reason that no air recovery in this Clean&Dry room before investigating the air quality, which leads to huge energy consumption for treating 100% fresh air. The main purpose of this thesis is studying the Volatile Organic Compounds(VOCs) distribution in the Clean&Dry room with electrolyte filling activity to check whether the air quality is good enough to be recycled. This part of the study was approached by combining ANSYS FLUENT and the onsite measurement. A secondary objective is studying the energy-saving of dehumidification system with air recirculation system, meanwhile do the environmental analysis and cost analysis. In the end, in order to safely recycle the air in the Clean&Dry room, the Building Automation System should be installed solve the worst case scenario. The conclusions drawn in this study include the Electrolyte Filling machine forms a ”negative pressure room” which means the Volatile Organic Compounds(VOCs) generated from the machine is not likely spreading to the room, and the energy-saving, carbon footprint decreasing, energy cost and the cost of Building Automation System were provided.
Information
- Författare
- Chen, Lin
- Lärosäte / institution
- KTH/Skolan för industriell teknik och management (ITM)
- Publiceringsdatum
- 2022
- Uppsatstyp
- Master-uppsats
- Språk
- Engelska
Utforska vidare
Liknande uppsatser
Uppsatser med liknande ämnen och nyckelord.
Master-uppsats, KTH/Energiteknik
Dahl, Patrik
Publicerad: 2025
Master-uppsats, KTH/Energiteknik
Chatterjee, Abhay
Publicerad: 2025
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)
Gustafsson, Josefin
Publicerad: 2025
Kandidat-uppsats, Södertörns högskola/Institutionen för naturvetenskap, miljö och teknik
Arnarsdóttir, Rannveig, Dirie, Amira
Publicerad: 2024
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)
Håkans, Olivia
Publicerad: 2025
Kandidat-uppsats, SLU/Dept. of Energy and Technology
Berglund, Filip
Publicerad: 2026