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Economics of Power Stations using Data Science

سرفصل های دوره

Economics & Data Analysis (Python & Optimisation/ pyomo) applied to Power Stations


1 - Introduction
  • 1 - Analysis.pdf
  • 1 - Overview

  • 2 - Software Installation
  • 2 - Python installation

  • 3 - Theory of Electricity Generation Assets Power Stations
  • 3 - Analysis
  • 4 - Key Electricity Infrastructure Assets
  • 4 - analysis.zip
  • 4 - slides.pptx
  • 5 - Hydroelectric units Reservoir Run of River
  • 5 - hydro.pdf
  • 6 - Python Modelling of technoeconomics of Hydro units
  • 6 - analysis.zip
  • 7 - Wind units
  • 8 - Calculating wind patterns placing them in the dataframe using Python
  • 8 - analysis.zip
  • 9 - Onshore and Offshore wind units comparison
  • 9 - analysis.zip
  • 10 - Coal and Oil units
  • 10 - coal-oil.pdf
  • 11 - Gas units
  • 12 - Carbon Capture and Storage units
  • 12 - ccs.pdf
  • 13 - Nuclear units
  • 14 - Biomass units
  • 15 - Geothermal units
  • 16 - Tidal units
  • 17 - solar PV units
  • 18 - Concentrated Solar Power units

  • 4 - Technical characteristics of Electricity Generation Assets
  • 19 - Installed capacity of generators accounting for td losses
  • 19 - analysis.zip
  • 20 - Technological Maturity
  • 21 - Capacity factor
  • 22 - Availability factor
  • 23 - Ramp rate of power plants
  • 24 - Startup time of electricity generators
  • 25 - Minimum Stable Generation
  • 26 - Efficiency of a power station
  • 27 - Dispatchability of power stations
  • 28 - Flexibility of electricity generators
  • 29 - Baseload and Peaking units
  • 30 - Emissions intensity of a unit

  • 5 - Python How electricity generators determine the wholesale electricity price
  • 31 - Introduction to merit order
  • 32 - Electricity price in centralized wholesale markets
  • 32 - analysis.zip
  • 33 - Description and Receiving user input on Marginal Costs and Capacities
  • 34 - Determining the generation technology that sets the wholesale price
  • 35 - Making the merit order plot
  • 36 - Sensitivity analysis
  • 37 - Creating a responsiveinteractive merit order plot via Plotly
  • 38 - Making the executable file
  • 39 - Running the executable file
  • 40 - Explaining the code that produced the graphical user interface tkinter package

  • 6 - Economics of Power Stations Part 1 Costs
  • 41 - Capital Costs Lead times
  • 42 - Introduction to LCOE part 1
  • 43 - Introduction to LCOE part 2
  • 44 - Plotting the LCOE
  • 45 - Explanation of LCOE
  • 46 - Barplot for the LCOE

  • 7 - Economics of Power Stations Part 2 Revenue
  • 47 - Subsidies Contracts for Difference Renewables OC
  • 48 - Python Applications

  • 8 - Optimization Market Strategy for an Electricity Generation company
  • 49 - Install Pyomo
  • 50 - Install Solvers
  • 51 - Introduction Description of the case study
  • 52 - Developing the Mathematical Formulation concrete abstract
  • 53 - Loading the input parameters from a text file
  • 54 - Abstract model definition instantiation optimal solution
  • 55 - Investigating the Optimal Solution
  • 56 - Duality theory Strategy in the Spot Electricity Market
  • 57 - The mathematics behind the solver finding the optimal solution

  • 9 - Data analysis on electricity generation
  • 58 - Processing cleaning raw data on Python
  • 59 - Per type per bus total system generation capacity
  • 60 - Categorizing the data per generator type year bus etc using Python
  • 61 - Replace existing generation types with new ones in the Generation dataset

  • 10 - Bonus
  • 62 - Discount-Coupons-october-2022.pdf
  • 62 - Extras.html
  • 62 - my personal website with great offers for you.zip
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