Modelling and optimisation of long-term forecasting of electricity demand in oil-rich area, South Iran

Pourarshad, Meysam; Noorollahi, Younes; Atabi, Farideh; Panahi, Mostafa

doi:10.1080/01430750.2021.1915381

Cited by 8 publications

(2 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, the analysis of the energy system should contain all demanding sectors including residential, industry, transportation, etc on a local basis. This consideration leads to a better understanding and policy-making of each section based on the current and future technologies [ [14] , [15] , [16] ]. In this study, energy system modeling of different climates in Iran is under investigation on a local basis by maximizing the importance of renewable energy resources and waste energy.…”

Section: Introductionmentioning

confidence: 99%

Energy modeling to compensate for the seasonal lack of electrical and thermal energy depending on the different climates of Iran

Ahmadi-Kaliji,

Hajinezhad,

Kashani Lotfabadi

et al. 2023

Heliyon

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Energy modeling to compensate for the seasonal lack of electrical and thermal energy depending on the different climates of Iran

Ahmadi-Kaliji,

Hajinezhad,

Kashani Lotfabadi

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…Studies were conducted to present the vision of energy production and supply in Khuzestan province until 2050 and estimate electricity demand based on modeling and an appropriate and optimal mix of energy resources. However, to complete the previous studies, 39,40 the environmental part and the technical-economic cost–benefit of green scenarios for controlling and reducing GHG have been dealt with more fully. This future study is based on selecting an energy model that is compatible and appropriate to Iran's conditions.…”

Section: Introductionmentioning

confidence: 99%

Reducing energy and environmental challenges by modeling clean electricity generation in oil-rich regions

Pourarshad

Noorollahi

Atabi

et al. 2022

Energy & Environment

Self Cite

View full text Add to dashboard Cite

Reducing greenhouse gas (GHG) emissions induced environmental hazards is one of the most important goals of future research the energy economy and the environment. This challenge is becoming more important in developing countries, including Iran, with high energy intensity and is one of the leading countries in GHG emissions. This study aims to visualize emissions from electricity generation in Khuzestan province, southern Iran. Khuzestan is the largest producer of electricity and the country's energy capital. Khuzestan's electricity supply and demand system was simulated and examined under green scenarios till 2050 by assessing the existing situation and choosing a suitable low-carbon energy system for the future. One of the results of this research is to reduce emissions in terms of energy management strategies in the short term and the ineffectiveness of development strategies regardless of consumption management strategies. Electricity supply optimization scenarios are attractive in the long term, which indicates the costly implementation of development strategies. Combining solutions to balance the energy economy and environment is more effective. The OKEP scenario as a combination of consumption management and development strategies showed that it would maintain its positive impact in the short and long term and successfully reduce emissions. In this scenario, the net present value (NPV) attractiveness is over $ 6706 million and saves the emission of 179 MtCO2e. Compared to the business as usual (BAU) scenario, more than 90 Bm3NGe savings and a 3.62% increase in renewables share are other benefits of this scenario.

show abstract

For reducing CO2 emissions, what is the most effective: making power plants more efficient or developing renewable resources?

Ziyaei,

Panahi,

Manzour

et al. 2024

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

Modelling and optimisation of long-term forecasting of electricity demand in oil-rich area, South Iran

Cited by 8 publications

References 50 publications

Energy modeling to compensate for the seasonal lack of electrical and thermal energy depending on the different climates of Iran

Energy modeling to compensate for the seasonal lack of electrical and thermal energy depending on the different climates of Iran

Reducing energy and environmental challenges by modeling clean electricity generation in oil-rich regions

For reducing CO2 emissions, what is the most effective: making power plants more efficient or developing renewable resources?

Contact Info

Product

Resources

About