Energy demand and production forecasting in Pakistan

被引:52
|
作者
Raza, Muhammad Amir [1 ]
Khatri, Krishan Lal [1 ]
Israr, Amber [2 ]
Ul Haque, Muhammad Ibrar [2 ]
Ahmed, Manzar [2 ]
Rafique, Khalid [3 ]
Saand, Abdul Sattar [4 ]
机构
[1] NED Univ Engn & Technol, Dept Elect Engn, Karachi 75270, Sindh, Pakistan
[2] Sir Syed Univ Engn & Technol, Dept Elect Engn, Karachi 75290, Sindh, Pakistan
[3] Informat Technol Board, Azad Jammu Kashmir, Muzaffarabad, Pakistan
[4] Quaid E Awam Univ Engn Sci & Technol, Dept Elect Engn, Nawabshah 67450, Sindh, Pakistan
关键词
Power crises; Energy demand; Domestic energy assets; Power generation; Baluchistan province; Pakistan; ELECTRICITY-GENERATION; SOLAR-RADIATION; SCENARIOS;
D O I
10.1016/j.esr.2021.100788
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
Pakistan has been in severe energy crises since the year 2004. Major reasons behind energy crises are lack of use of modeling tools in power planning and policy development, dependence on imported energy sources and poor governance. In this paper, electricity demand forecasting for Pakistan up to the year 2030 and a proposal for utilizing domestic energy resources, such as, coal, natural gas, and solar resources available in Baluchistan province of Pakistan for the electricity needs of the country are presented. Long-range Energy Alternative Planning (LEAP) software is used to develop energy demand model for Pakistan that forecasts energy demand under two scenarios, i.e., baseline scenario and energy conservation scenario for the period from 2018 to 2030. Electrical power generation capacity of coal, natural gas and solar resources is also calculated considering the capacity factor of each type of energy asset using MATLAB. This work suggests that Pakistan's energy demand forecast is 399 TWh under the baseline scenario and 312 TWh under the energy conservation scenario. The power generation potential of domestic energy assets available in Baluchistan is 500.041 TWh in total, which includes Natural Gas 392.768 TWh, Solar 84.935 TWh and Coal 22.338 TWh. This research would help relevant government departments in Pakistan for power capacity development as per the required energy demand and alleviate energy crises in Pakistan.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan
    Rehman, Syed Aziz Ur
    Cai, Yanpeng
    Fazal, Rizwan
    Walasai, Gordhan Das
    Mirjat, Nayyar Hussain
    ENERGIES, 2017, 10 (11)
  • [2] Power demand forecasting for demand-driven energy production with biogas plants
    Dittmer, Celina
    Kruempel, Johannes
    Lemmer, Andreas
    RENEWABLE ENERGY, 2021, 163 : 1871 - 1877
  • [3] Towards Forecasting Demand and Production of Electric Energy in Smart Grids
    Filipowska, Agata
    Fabisz, Karol
    Hossa, Tymoteusz Mateusz
    Mucha, Michal
    Hofman, Radoslaw
    PERSPECTIVES IN BUSINESS INFORMATICS RESEARCH, BIR 2013, 2013, 158 : 298 - 314
  • [4] Modelling and forecasting the demand for natural gas in Pakistan
    Khan, Muhammad Arshad
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 49 : 1145 - 1159
  • [5] Forecasting the demand for energy in China
    Chan, HL
    Lee, SK
    ENERGY JOURNAL, 1996, 17 (01): : 19 - 30
  • [6] Modeling for energy demand forecasting
    Lecture Notes in Energy, 2013, 10 : 21 - 40
  • [7] Forecasting the Demand for Electric Energy
    Gates, J. E.
    JOURNAL OF LAND AND PUBLIC UTILITY ECONOMICS, 1942, 18 (01): : 77 - 81
  • [8] FORECASTING SYSTEM ENERGY DEMAND
    GUNEL, I
    JOURNAL OF FORECASTING, 1987, 6 (02) : 137 - 156
  • [9] Forecasting the demand for energy in China
    Hong Kong Baptist Univ, Kowloon Tong, Hong Kong
    Energy J, 1 (19-30):
  • [10] Modeling and Forecasting Energy Demand
    El Kafazi, Ismail
    Bannari, Rachid
    Abouabdellah, Abdellah
    PROCEEDINGS OF 2016 INTERNATIONAL RENEWABLE & SUSTAINABLE ENERGY CONFERENCE (IRSEC' 16), 2016, : 746 - 750