The long-term scenario and greenhouse gas effects cost-benefit analysis of Iran's electricity sector

Kachoee, Mohammad Sadegh; Salimi, Mohsen; Amidpour, Majid

doi:10.1016/j.energy.2017.11.049

Cited by 38 publications

(11 citation statements)

References 10 publications

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“…This has been emphasized in a study by Kachoee et al, in that study, the LEAP software was used to design multiple scenarios for supply-side and demand-side management and examined their impacts on GHG emissions and electricity generation costs based on cost-utility analysis. Overall, the result of Kachoee showed that Iran's objectives in terms of sustainable development of power generation sector and GHG emission reduction in line with international agreements over 2015-2040 can be achieved in the medium-term by implementing the efficiency improvement strategies included in the LCA scenario (Kachoee et al 2018).…”

Section: Discussionmentioning

confidence: 99%

A techno-economic and environmental assessment of low-carbon development policies in Iran's thermal power generation sector

Motlagh

Panahi

Hemmasi

et al. 2021

Int. J. Environ. Sci. Technol.

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The power generation sector is increasingly affecting global warming due to its greenhouse gases (GHGs) emissions. Hence, improving the efficiency of thermal power plants is effective action in mitigating national and global GHG emissions. Accordingly, Long-range Energy Alternatives Planning has been used to the prediction of electricity consumption and supply, types of costs, and GHG emissions for a 20-year period (2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021)(2022)(2023)(2024)(2025)(2026)(2027)(2028)(2029)(2030) in Iran thermal power plants. In this paper, a business-asusual (BAU) scenario and seven different scenarios were designed to investigate the impact of simultaneous management of supply-side and demand-side power generation. The findings showed that all alternative scenarios allowing the country to fulfill its unconditional (Nationally Determined Contribution) NDC. Further, the EEP, EPI, and ATD scenarios will have respectively 25%, 22%, and 12% lower emission than the BAU scenario, which will enable Iran to fulfill its conditional NDC by 2030. The superior scenarios in terms of electricity generation costs were found to be EPI and EEP, which will result in approximately US$5 billion cost-saving compared to BAU. The hybrid scenario was known as the preferred scenario, which will generate approximately US$12 billion greater benefit than BAU in terms of net present value.

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Section: Discussionmentioning

confidence: 99%

A techno-economic and environmental assessment of low-carbon development policies in Iran's thermal power generation sector

Motlagh

Panahi

Hemmasi

et al. 2021

Int. J. Environ. Sci. Technol.

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“…The capacity factors of all the units except wind and solar generators are assumed to be constant during the planning horizon. The capacity factors of the different generation units except for the wind and solar units are assumed to be the reported ones in [8,42]. The wind and solar capacity factors are obtained based on the relations presented in [43,44], respectively, where, the Weibull distribution function parameters of wind speed and the normal distribution function parameters of solar radiation are obtained using the historical hourly data in [39].…”

Section: Iran Power Gridmentioning

confidence: 99%

“…Generation expansion planning (GEP) [4,[7][8][9][10][11][12][13][14] transmission expansion planning (TEP) [15][16][17][18][19] have been paid attention for over 40 years in the electrical industry. Many researchers in the recent years have proposed composite generation and TEP (CGTEP) for more efficient and applicable results [3,5,[20][21][22][23][24][25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Composite generation and transmission expansion planning toward high renewable energy penetration in Iran power grid

Majd

Farjah

Rastegar

2020

IET Renewable Power Generation

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This study proposes a composite generation and transmission expansion planning (CGTEP) with high renewable penetration in Iran power grid. The goal is to minimise the generation and transmission investment and operation costs, start-up/ shutdown costs, and the cost of energy not served during a 10-year planning horizon. The problem is formulated in a mixedinteger linear format, considering power flow limits, ramping rate limits, minimum up/down times of the generation units, uncertainty of wind and solar generations, and deterministic and probabilistic reliability constrains including reserve margins for generation capacities and expected energy not supplied boundary. In addition, according to the specific geographic characteristics of Iran, import and export of the electricity, as well as the limitation of water resources for power generation, is modelled in the CGTEP problem. The proposed CGTEP method is implemented in business as usual and renewable target cases without considering the uncertainty, and RT case with uncertainty considerations. In RT cases, 30% renewable penetration is targeted to reduce the CO 2 emission by 10%. In addition, the capability of Iran power grid in providing green energy for the neighbouring countries is investigated in this study.

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“…In current power systems, most of the energy required by distribution networks is supplied by upstream grids. Due to the aging of infrastructure, increasing demands, and the emergence of multiple uncertain sources, this trend has led to increased electrical losses, reduced reliability, and increased greenhouse gas emissions in many countries, such as Iran and Turkey 1,2 . There is intrinsic value in integrating multi‐carrier energy systems to enhance operational flexibility in the distribution networks 3 and to maximize the supply adequacy 4 .…”

Section: Introductionmentioning

confidence: 99%

“…Due to the aging of infrastructure, increasing demands, and the emergence of multiple uncertain sources, this trend has led to increased electrical losses, reduced reliability, and increased greenhouse gas emissions in many countries, such as Iran and Turkey. 1,2 There is intrinsic value in integrating multi-carrier energy systems to enhance operational flexibility in the distribution networks 3 and to maximize the supply adequacy. 4 Because of the promising technical, economic, and environmental merits that advanced hydrogen-based energy conversion units have demonstrated, they have great potential for widespread deployment in distribution networks.…”

mentioning

confidence: 99%

Multi‐objective risk‐constrained operation of hydrogen‐based renewable energy integrated distribution network

Oskouei

Mohammadi‐Ivatloo

Erdinç

et al. 2022

Intl J of Energy Research

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Nowadays, an important point that has attracted the attention of system planners is to maintain the adequacy of distribution networks under an acceptable range during interactions with multi-carrier energy systems under several uncertain sources. Achieving scalable and operational solutions to deal with the risk associated with these challenges has become a major concern among system planners. Thanks to the recent advances, hydrogen-based facilities offer distinctive opportunities to increase the flexibility and adequacy of distribution networks considering the high penetration of renewable energy sources (RESs). In this regard, the development of a comprehensive market-based mechanism by distribution network operators with respect to grid code considerations in the presence of hydrogen-based facilities is challenging. This study tries to fill the research gaps regarding the optimal coordination of the hydrogen-based energy hubs and distribution networks that host high RESs penetration. To this end, a multi-objective framework is developed to represent a risk-constrained operation problem for the distribution networks in the dayahead scheduling process. The main objective of this study is 2-fold: (a) to preserve the adequacy of distribution networks by enhancing the self-sufficiency level and (b) to guarantee the flexible operation of distribution networks by mitigating the techno-economic and environmental risks. To attain a riskaverse strategy, a hybrid robust-stochastic programming model is used to handle the uncertain nature of renewable generation, demand consumption, and market price. Moreover, the proposed framework considers the load shifting program, as efficient ancillary service, to evaluate the impact of the deferrable loads on improving the performance of system operators' decision-making. The feasibility and robustness of the proposed mixed-integer linear programming strategy are investigated through a set of case studies on the IEEE 33-bus test system under the GAMS software environment. Numerical results demonstrate that if hydrogen-based energy hubs are employed by operator, the whole operation cost decreases by up to 77%, renewable power curtailment decreases by up to 92%, and CO 2 emission cost lessens by up to 50%.

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The long-term scenario and greenhouse gas effects cost-benefit analysis of Iran's electricity sector

Cited by 38 publications

References 10 publications

A techno-economic and environmental assessment of low-carbon development policies in Iran's thermal power generation sector

A techno-economic and environmental assessment of low-carbon development policies in Iran's thermal power generation sector

Composite generation and transmission expansion planning toward high renewable energy penetration in Iran power grid

Multi‐objective risk‐constrained operation of hydrogen‐based renewable energy integrated distribution network

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