This repository contains the final project for CE400 and CE500 courses, focusing on sustainable systems engineering for modern data centers. The project investigates the energy consumption patterns of data centers and proposes optimization frameworks to improve their sustainability.
Data centers have become essential infrastructure components in the modern digital era, supporting:
- Cloud computing services
- Artificial intelligence and machine learning
- Large-scale data storage
- Critical digital services
However, data centers are significant energy consumers, with electricity costs and environmental impacts representing major operational challenges. This project addresses:
- Energy Consumption Issues: Data centers consume substantial amounts of electricity, with individual components contributing unequally to overall power usage
- Sustainability Limitations: Current metrics like PUE (Power Usage Effectiveness) are insufficient for comprehensive sustainability assessment
- Holistic Solutions: Need for integrated approaches combining software, hardware, infrastructure, and energy sourcing strategies
This project directly supports multiple United Nations Sustainable Development Goals (SDGs) by addressing:
- Energy consumption patterns
- Environmental impacts of data center operations
- Sustainable infrastructure development
The project employs two primary approaches:
- Comprehensive evaluation of data center operations from a life cycle perspective
- Identification of key environmental hotspots
- Integration of environmental impact considerations with operational metrics
- Analysis of trade-offs between:
- Performance
- Cost
- Sustainability
- Energy consumption
- Development of optimization strategies considering multiple competing objectives
The LCA and LCIA (Life Cycle Impact Assessment) are expected to:
- Identify key environmental hotspots in data center operations
- Highlight operational electricity consumption as a primary focus area
- Guide development of targeted sustainability improvements
- Provide data-driven insights for infrastructure optimization
main.tex- Primary LaTeX document containing the research proposal and analysisref.bib- Bibliography and references for the projectfigure1.png- Energy Consumption breakdown in Data Centersfigure2.png- Proposed Energy Conservation FrameworkCE400_500_Final_Project.pdf- Compiled project PDF
Kashfy Gazi
Department of Chemical and Biological Engineering
University at Buffalo, The State University of New York
Buffalo, New York, 14260-4200, USA
Sustainable Systems Engineering Lab
This project uses LaTeX for document preparation. To compile:
pdflatex main.tex
bibtex main
pdflatex main.tex
pdflatex main.texOr using a LaTeX IDE (Overleaf, TeXShop, etc.):
- Open
main.tex - Include
ref.bibbibliography file - Compile to PDF
- Data Centers: Large-scale facilities housing computing infrastructure
- Power Usage Effectiveness (PUE): Energy efficiency metric for data centers
- Life Cycle Assessment (LCA): Comprehensive environmental evaluation methodology
- Multi-Objective Optimization: Framework for balancing competing objectives
- Sustainable Systems Engineering: Integration of sustainability principles in engineering design
All references are maintained in ref.bib and include citations to:
- Data center energy optimization studies
- Sustainability frameworks and methodologies
- Environmental impact assessment literature
This project is provided as academic work for CE400/500 coursework.
For questions or more information, please refer to the Sustainable Systems Engineering Lab