An investigation on effective factors of energy demand utilized in sustainable development planning

Document Type : Original Article

Authors

1 Master of Science (MSc) Student, Renewable Energies Engineering, Department of Reneawable Energies and Environment, Faculty of New Science and Technologies, University of Tehran, Tehran, Iran

2 Associate Professor, Department of Renewable Energies and Environment, Faculty of New Science and Technologies, University of Tehran, Iran

Abstract

Energy supply was one of the most important concerns of mankind Throughout history that recently is done more consciously. Proper planning to supply energy is from the goals of every society. The introduction of proper planning is the existence of a realistic view of the future. In the energy sector, there is also a view of the future in terms of demand for energy as well as the status of available resources. In this paper, the demand for energy in different sectors of consumption is investigated to achieve an accurate and reliable view of the future. The energy consuming sectors can be defined as agricultural, transportation, industrial, thermal and finally the electrical power generation sector. To do so, articles on similar topics case study of Iran and other countries were studied to compare the factors that have been considered to achieve a suitable model for energy demand in the country of Iran. Using the future horizon of consumption, which the model shows, make us be able to plan sustainable development and implement the amount of energy needed using renewable energy sources.

Keywords

References

[1] L. Farajian, R. Moghaddasi, and S. Hosseini, “Agricultural energy demand modeling in Iran: Approaching to a more sustainable situation,” Energy Reports, vol. 4, pp. 260–265, Nov. 2018.
[2]    باقری, محسن, زارع علی آبادی, احسان, انضباطی, امیرحسین. بررسی تاثیر استفاده از منابع تجدیدپذیر در تامین تقاضای شبکه‌ی برق با ارائه‌ی یک مدل ریاضی دو هدفه. دو فصلنامه انرژی های تجدیدپذیر و نو, 1398; 6(1): 38-46.
[3] R. Parajuli, P. A. Østergaard, T. Dalgaard, and G. R. Pokharel, “Energy consumption projection of Nepal: An econometric approach,” Renew. Energy, vol. 63, pp. 432–444, Mar. 2014.
[4]  Wei Zhang, Jun Yang, “Forecasting natural gas consumption in China by Bayesian Model Averaging”, Energy Reports,Volume 1,
       2015, Pages 216-220.
[5]  سلطانی گردفرامرزی سمیه، صابری عارف، قیصوری مرتضی. تعیین بهترین مدل سری زمانی در پیش بینی بارندگی سالانه ایستگاه های منتخب استان آذربایجان غربی. نشریه تحقیقات کاربردی علوم جغرافیایی. ۱۳۹۶; ۱۷ (۴۴) :۸۷-۱۰۵
[6]  آذر عادل، افسر امیر، احمدی پرویز. مقایسه روشهای کلاسیک و هوش مصنوعی در پیش‌بینی شاخص قیمت سهام و طراحی مدل ترکیبی. پژوهش های مدیریت در ایران. ۱۳۸۵; ۱۰ (۴) :۱-۱۶
 [7]  Gheisa R. T Esteves, Bruno Q. Bastos, Fernando L. Cyrino, Rodrigo F. Calili, R

Files

History

  • Receive Date: 07 April 2021
  • Accept Date: 07 April 2021

Share

How to cite

Statistics