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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