scholarly journals Assessing the impact of environmental cost on the capital investment decision-making of the Electricity Supply Commission, South Africa

2020 ◽  
Author(s):  
◽  
Toyese Titus Oyewo

The availability of energy (electricity) is a key factor in economic growth and the sustainability of production processes. The need to quantitatively measure the environmental risk and hazard associated with energy sources for the environment is useful in evaluating capital investment for decision-making. Coal (fossil fuel) is the main source of energy in South Africa, based on its availability and cost-effectiveness. Specifically, quantitative research using mathematical marginal social cost modelling to evaluate the environmental cost of emissions emanating from the Electricity Supply Commission’s (ESKOM) coal power stations is employed. It was discovered that the price of electricity has trebled over the lifespan of coal power plants. Therefore, the need to construct coal power plants with optimum levels of production was highlighted. The net present value (NPV) technique was used to evaluate ESKOM's capital investment and the marginal social cost mathematical model was developed for measuring and quantifying the emission costs associated with the lifespan of the coal power plants. Results revealed that the optimum level production of 2,150,000 Gigawatts per annum within the range of the present capacity of ESKOM of 2,292,000 gigawatts annually is required and profitable to ESKOM. The net present value yielded a positive value of R1, 448,713,000,000-00 over a period of 30 years of coal power plants’ life-span. However, various technologies used to minimize emissions were also considered and investigated to confirm the feasibility and profitability of investment in coal- powered stations using environmental management accounting and marginal social cost approaches.

2021 ◽  
Vol 12 (1) ◽  
pp. 90-102
Author(s):  
Toyese Oyewo ◽  
Odunayo Magret Olarewaju ◽  
Melanie Bernice Cloete ◽  
Olukorede Tijani Adenuga

An increase in electricity production is proportional to environmental risks due to continuous energy production. The paper aims to quantitatively estimate the environmental costs and mathematically model the marginal social cost associated with the lifespan of the coal power plants. Results revealed South Africa Tier 1 company optimum level of electricity production per annum at around 2.15 gigawatts, considering the emission costs and reasonable profit. 85% of the total emissions during the combustion phase average cost of the C02 emission discharged by coal is calculated as 0.23c/KWh, 0.085c/kWh is calculated for NO2, while SO2 is 0.035c/KWh. Total emission cost represents 69.2% of the total cost of producing 1 MGW of electricity. The results confirmed the company losses to be insignificantly considerable to the evaluated environmental costs and capital investment. However, the use of this newly developed mathematical model depends on the source of energy production to confirm the feasibility and profitability of investment in coal-powered stations using environmental management accounting and marginal social cost approaches. AcknowledgmentThe authors would like to acknowledge the National Research Foundation and Durban University of Technology for financial support.


2012 ◽  
Author(s):  
Mark Woods ◽  
Michael Matuszewski ◽  
Robert Brasington

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2389
Author(s):  
Samuel Matthew G. Dumlao ◽  
Keiichi N. Ishihara

Despite coal being one of the major contributors of CO2, it remains a cheap and stable source of electricity. However, several countries have turned to solar energy in their goal to “green” their energy generation. Solar energy has the potential to displace coal with support from natural gas. In this study, an hourly power flow analysis was conducted to understand the potential, limitations, and implications of using solar energy as a driver for decommissioning coal power plants. To ensure the results’ robustness, the study presents a straightforward weather-driven scenario analysis that utilizes historical weather and electricity demand to generate representative scenarios. This approach was tested in Japan’s southernmost region, since it represents a regional grid with high PV penetration and a fleet of coal plants older than 40 years. The results revealed that solar power could decommission 3.5 GW of the 7 GW coal capacity in Kyushu. It was discovered that beyond 12 GW, solar power could not reduce the minimum coal capacity, but it could still reduce coal generation. By increasing the solar capacity from 10 GW to 20 GW and the LNG quota from 10 TWh to 28 TWh, solar and LNG electricty generation could reduce the emissions by 37%, but the cost will increase by 5.6%. Results also show various ways to reduce emissions, making the balance between cost and CO2 a policy decision. The results emphasized that investing in solar power alone will not be enough, and another source of energy is necessary, especially for summer and winter. The weather-driven approach highlighted the importance of weather in the analysis, as it affected the results to varying degrees. The approach, with minor changes, could easily be replicated in other nations or regions provided that historical hourly temperature, irradiance, and demand data are available.


2021 ◽  
Vol 1101 (1) ◽  
pp. 012012
Author(s):  
Salmia Beddu ◽  
Mahyun Zainoodin ◽  
Amalina Basri ◽  
Zarina Itam ◽  
Raudhah Ahmadi ◽  
...  

2017 ◽  
Vol 105 ◽  
pp. 297-302 ◽  
Author(s):  
Arif Darmawan ◽  
Dwika Budianto ◽  
Muhammad Aziz ◽  
Koji Tokimatsu

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