Modeling Long-Term Electricity Generation Planning to Reduce Carbon Dioxide Emissions in Nigeria

被引:6
|
作者
Kim, Juyoul [1 ]
Abdel-Hameed, Ahmed [1 ]
Joseph, Soja Reuben [1 ]
Ramadhan, Hilali Hussein [1 ]
Nandutu, Mercy [1 ]
Hyun, Joung-Hyuk [1 ]
机构
[1] KEPCO Int Nucl Grad Sch, Dept NPP Engn, 658-91 Haemaji Ro, Ulsan 45014, South Korea
关键词
energy modeling; MESSAGE; SIMPACTS; CO2; emission; Nigeria energy; environmental impact; HEALTH;
D O I
10.3390/en14196258
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The most recent assessments conducted by the International Energy Agency indicate that natural gas accounts for the majority of Nigeria's fossil fuel-derived electricity generation, with crude oil serving mostly as a backup source. Fossil fuel-generated electricity represents 80% of the country's total. In addition, carbon dioxide (CO2) emissions in Nigeria in 2018 (101.3014 Mtons) demonstrated a 3.83% increase from 2017. The purpose of this study is to suggest an alternate energy supply mix to meet future electrical demand and reduce CO2 emissions in Nigeria. The Model for Energy Supply Strategy Alternatives and their General Environmental Impact (MESSAGE) was used in this study to model two case situations of the energy supply systems in Nigeria to determine the best energy supply technology to meet future demand. The Simplified Approach to Estimating Electricity Generation's External Costs and Impacts (SIMPACTS) code is also used to estimate the environmental impacts and resulting damage costs during normal operation of various electricity generation technologies. Results of the first scenario show that gas and oil power plants are the optimal choice for Nigeria to meet future energy needs with no bound on CO2 emission. If Nigeria adopts CO2 emission restrictions to comply with the Paris Agreement's target of decreasing worldwide mean temperature rise to 1.5 degrees C, the best option is nuclear power plants (NPPs). The MESSAGE results demonstrate that both fossil fuels and NPPs are the optimal electricity-generating technologies to meet Nigeria's future energy demand. The SIMPACTS code results demonstrate that NPPs have the lowest damage costs because of their low environmental impact during normal operation. Therefore, NPP technology is the most environmentally friendly technology and the best choice for the optimization of future electrical technology to meet the demand. The result from this study will serve as a reference source in modeling long-term energy mix therefore reducing CO2 emission in Nigeria.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Optimization of Electricity Generation Technologies to Reduce Carbon Dioxide Emissions in Egypt
    Abdel-Hameed, Ahmed
    Kim, Juyoul
    Hyun, Joung-Hyuk
    Ramadhan, Hilali Hussein
    Joseph, Soja Reuben
    Nandutu, Mercy
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (18):
  • [2] Environmental implications of electricity generation in an integrated long-term planning framework
    Turner, Graham M.
    West, James
    [J]. ENERGY POLICY, 2012, 41 : 316 - 332
  • [3] Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA
    Tol, Richard S. J.
    Pacala, Stephen W.
    Socolow, Robert H.
    [J]. JOURNAL OF POLICY MODELING, 2009, 31 (03) : 425 - 445
  • [4] Decomposition analysis of electricity generation on carbon dioxide emissions in Ghana
    Oteng-Abayie, Eric Fosu
    Asaki, Foster Awindolla
    Duodu, Emmanuel
    Mahawiya, Sulemana
    Gyamfi, Bright Akwasi
    [J]. HELIYON, 2024, 10 (07)
  • [5] A new model for the use of renewable electricity to reduce carbon dioxide emissions
    Mostafaeipour, Ali
    Bidokhti, Abbas
    Fakhrzad, Mohammad-Bagher
    Sadegheih, Ahmad
    Mehrjerdi, Yahia Zare
    [J]. ENERGY, 2022, 238
  • [6] Carbon emissions and electricity generation modeling in Saudi Arabia
    Alajmi, Reema Ghazi
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (16) : 23169 - 23179
  • [7] Carbon emissions and electricity generation modeling in Saudi Arabia
    Reema Ghazi Alajmi
    [J]. Environmental Science and Pollution Research, 2022, 29 : 23169 - 23179
  • [8] Modeling Long-term Variability of Renewable Energy in Generation Planning
    Chattopadhyay, D.
    van Loon, V. A. I. A. Potter
    [J]. 2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [9] LONG-TERM EVALUATION OF NITROGEN OXIDES AND SULPHUR DIOXIDE EMISSIONS FROM THE GREEK LIGNITE-BASED ELECTRICITY GENERATION SECTOR
    Kaldellis, John K.
    Kapsali, Marina
    Emmanouilidis, Michael
    [J]. FRESENIUS ENVIRONMENTAL BULLETIN, 2012, 21 (09): : 2676 - 2688
  • [10] How much does increasing non-fossil fuels in electricity generation reduce carbon dioxide emissions?
    Liddle, Brantley
    Sadorsky, Perry
    [J]. APPLIED ENERGY, 2017, 197 : 212 - 221