Kabitri Chattopadhyay
Energy System Analyst

Contact Info

  • +1 (785) 491 8892
  • kabitri.chattopadhyay@gmail.com
  • www.kabitrichattopadhyay.com
  • www.linkedin.com/Kabitri
  • Orlando, Florida, USA

Expertise

Energy System

  • Towards sustainablity
  • VRES integration
  • Balancing needs
  • Market evaluation

Grid Operation

  • Unit commitment
  • Storage adequancy
  • Cost-optimization
  • Performance analysis

Meteorology

  • Air quality assessment
  • Satellite imagery
  • Tracer transports
  • Forecasting (NWP models)

Languages

  • English
  • Bengali
  • German
  • Danish

Soft Skills

  • Assertive communication
  • Problem solving ability
  • Keen observation
  • Creative thinking
  • Teamwork
  • Patience

Profile

Energy system analyst and energy meteorologist with 10+ years of experience in computational modelling. Assisted in developing complex tools for sustainable and cost-effective operation of electric power grid under variety of scenarios. Actively participated in developing codes for existing numerical models to further enhance their capabilities. Able to collect, process and analyse large quantity of data and make impactful presentation of insights. Working experience in several multi-disciplinary, multi-cultural international groups.

Education

Ph.D in Renewable Energy

(cum laude)
Carl von Ossietzky University, Germany
2013 - 2017

Thesis: Optimisation of spatial balancing and storage needs for large-scale power system integration of fluctuating solar energy.

M.Sc in Atmospheric Sciences

(First-class First)
Calcutta University, India
2007 - 2009

Thesis: Prediction of pre-monsoon thunderstorm using ant colony optimisation technique

Employments

2017 - 2020
Technical University of Denmark

Postdoctoral Fellow

Developing a computational model to simulate the operation of a reversible, high-temperature solid oxide cell in a future Danish power system.

  • Developed Python-based stand-alone model
  • Lead the investigation on cost-optimal operations
  • Evaluated performance of state-of-the-art units
  • Results presented with several reports and slides
2013 - 2017
Carl von Ossietzky University, Germany

PhD Scholar

Optimisation of spatial balancing and storage needs for large-scale power system integration of fluctuating solar energy.

  • Quantified balancing needs at high VRES shares
  • Improved cloud retrieval algorithm from Meteosat images
  • Optimisation of large-scale solar deployments
  • Prepared reports, journal articles and oral presentations
2012 - 2013
Max Planck Institute for Chemistry, Germany

Research Intern

Investigating dust transport events from the Saharan desert to the Mediterranean region using WRF-Chem and EMAC models.

  • Comprehensive aerosol and tracer distribution studies
  • Active code development for long range transport
  • Systematic model evaluation against balloon-measurements
  • Managed and negotiated the scope and timing of the project.
2009 - 2011
Physical Research Laboratory, India

Senior Research Fellow

Tropospheric tracer distribution study using chemical transport model MOZART.

  • Comprehensive study of vertical tracer distribution
  • Model evaluation with MOPITT satellite data
  • Evaluation against high quality ground-based measurements
  • Oral presentation of results

Professional Skills

Programming Language

  • Python    
  • MatLab   
  • C/C++    
  • Fortran   

Other

  • LaTeX           
  • Bash/Zsh    
  • HTML/CSS   
  • Javascript  

Technical Components

  • Platforms: Unix/Linux, Mac, Windows
  • Binary file formats: NetCDF, HDF, grib