Course Work
Data Analysis, Multi Criteria Decission Analysis, Energy Policy, Life Cycle Analysis, Renewable Energy Systems, Economics, Industrial Ecology

Course Work
Transport Phenomenon, Applied Maths, Chemical Reaction Engineering, Chemical Engineering Operations, Statistical Design of Experiments, Project Economics, Material and Energy Balance Calculations


  • Managed and supervised development of the web tool Climate Watch Pathways which hosts a climate and economic scenario database
  • Developed and executed the outreach programs around the tool to engage policy decision makers, researchers, and modelers and to expand the database and user community

  • Researched methodologies, qualitative and quantitative modeling inputs/outputs and scenarios of integrated assessment models and curated a database
  • Assisted in development of a web tool called Climate Watch Pathways to host the data and display it in a structure appealing to policy decision makers and researchers

  • Analyzed policies related to Solar Photovoltaics (PV) in Germany, Japan, United States and China and developed a model for relationship between adoption of Solar PV and its Net Present Value to the customers by performing a non-linear regression analysis
  • Proposed funding deployment of Solar PV as a policy measure to increase the adoption and reduce the future cost of carbon mitigation

  • Analyzed policies related to feed in tariff, net metering, tax credits, renewable energy credits, and subsidies for residential Solar Photovoltaics (PV) in Germany, Japan, United States and China and calculated the Net Present Value of investment in a solar PV system
  • Performed a non-linear regression analysis to model and quantify the relationship between adoption and NPV and identified that it follows an error function implying high adoption for marginal increase in NPV


  • Modeled the energy, ancillary service and capacity markets operations of a Natural Gas Combustion Turbine (NGCT) power plant operating in different US power markets (ERCOT, PJM, NYISO) to estimate the cost of operation and the revenue generated
  • Performed financial analysis using the cost, revenue and other financial indicators to estimate the payback period to make capacity expansion planning recommendations


  • Performed Multivariate Linear Regression Analysis and time series analysis to model and forecast the energy consumption using Regional Energy Consumption Survey Data
  • Concluded that the residential energy consumption to increase by 12% while housing demand to increase by 27% by 2040 compared to that in 2015 implying a substantial increase in building energy efficiency

  • Evaluated the effect on carbon tax on economics of solar in state of California, Arizona and New York
  • Identified that with a 30$/ton carbon tax and absence of other subsidies, solar PV will be economically feasible only in the state of California