Review Article
Long Term Forecasting of Peak Demand and Annual Electricity Consumption of the West African Power Pool Interconnected Network by 2032
Issue:
Volume 13, Issue 2, April 2024
Pages:
21-31
Received:
27 February 2024
Accepted:
14 March 2024
Published:
2 April 2024
Abstract: The uneven distribution of primary sources of electric power generation in Economic Community of West African States (ECOWAS) compelled the heads of states to create the West African Power Pool (WAPP). The vision of this system is to set up a common electrical energy market to satisfy the balance between supply and demand at an affordable price using the interconnected network. Forecasting maximum power demand and energy consumption is essential for planning and the coordination of new power plant and transmission lines building. This work consists of predicting maximum power demand and total energy that must transit through the WAPP interconnected network by the year 2032. We compare the performances of three time series models namely the Long Short-Term Memory (LSTM), Auto-Regressive Integrated Moving Average (ARIMA) and Fb Facebook Prophet. Electric power and energy data used for training the systems comes from the WAPP authorties. The results show that, for monthly peaks, the Facebook (Fb) Prophet model is the best, with a MAPE (mean absolute error percentage) of 3.1% and a low RMSE (root mean square error) of 1.225 GW. For energy prediction, ARIMA performances are the best compared to others with (RMSE 1.20 TWh, MAPE 1.00%). Thus, the forecast for total annual energy consumption and annual peak demand will be, respectively, 96.85TWh and 13.6 GW in 2032.
Abstract: The uneven distribution of primary sources of electric power generation in Economic Community of West African States (ECOWAS) compelled the heads of states to create the West African Power Pool (WAPP). The vision of this system is to set up a common electrical energy market to satisfy the balance between supply and demand at an affordable price usi...
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Research Article
Exploring Potential Non-CCUS Pathways for Emissions-Free Energy
Subodh Chandra Gupta*
Issue:
Volume 13, Issue 2, April 2024
Pages:
32-41
Received:
28 February 2024
Accepted:
27 March 2024
Published:
17 April 2024
Abstract: To be effective in addressing the emissions challenge on the global scale, the focus has to be on the processes that are inexpensive to implement and can be applied at a massive scale. CCS satisfies the ‘massive scale’ condition but at present falls short of satisfying the ‘inexpensive’ part. The CCUS approaches (other than CO2 based EOR) where useful products from CO2 are hoped to be monetized to offset costs, take the focus even farther away from the desired objective. This is because (a) costs increase due to required energy input, and (b) market value of the products, and hence the desired monetization cannot survive the massive oversupply thus created. A more direct and efficient strategy involves either converting CO2 into a (non-monetizable) solid or liquid with minimal energy input, or restricting the waste by-product of the fuel oxidation process to be in a liquid or solid state that does not interact with the atmosphere to add to the greenhouse gas effect. The paper presents novel lower REDOX approaches as more energy-efficient and affordable alternatives to provide emissions-free energy. A strong case is made with available information for the techno-economic viability of these methods, and gaps identified for further development.
Abstract: To be effective in addressing the emissions challenge on the global scale, the focus has to be on the processes that are inexpensive to implement and can be applied at a massive scale. CCS satisfies the ‘massive scale’ condition but at present falls short of satisfying the ‘inexpensive’ part. The CCUS approaches (other than CO2 based EOR) where use...
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