Low carbon generation expansion planning with carbon capture technology and coal phase-out under renewable integration

Pourmoosavi, Mohammad-Amin; Amraee, Turaj

doi:10.1016/j.ijepes.2020.106715

Cited by 31 publications

(7 citation statements)

References 34 publications

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“…A large scale test system that is similar to the test systems used in refs. [7] and [21], with slight modification, is used. It should be noted that the assumed techno-economical parameters of existing and candidate units are chosen based on refs.…”

Section: Test Case and Assumptionsmentioning

confidence: 99%

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Low‐carbon generation expansion planning considering flexibility requirements for hosting wind energy

Pourmoosavi

Amraee

2022

IET Generation Trans & Dist

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The operational flexibility of electric energy systems is one of the essential requirements for integrating a high share of renewable resources. The operational flexibility significantly impacts the mix of new power generation technologies. In this paper, a low‐carbon generation expansion planning (GEP) model is presented to investigate the impacts of flexibility requirements of power systems with a high share of wind energy. An improved clustered unit commitment (CUC) formulation is proposed to capture the flexibility limitation of thermal generating units fully. In this regard, clustered 10‐min ramp up/down limits for operational reserves, flexible‐ramp reserves, and contingency reserves, are introduced. The yearly variations of load and renewable generations preserving the chronological time correlations are included, considering 36 representative days obtained by the clustering approach. Besides, two types of BES devices are considered to investigate the role of BES in the provision of flexibility. The proposed flexible low‐carbon GEP model is formulated as a mixed‐integer programming model, and an optimal expansion plan is obtained using the CPLEX algorithm. By incorporating improved CUC formulation into the low‐carbon GEP model, more profound insight into power systems' flexibility requirement with high wind generation penetration is obtained.

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Section: Test Case and Assumptionsmentioning

confidence: 99%

“…In ref. [21], a multi-year low-carbon GEP model is proposed for Iran's power system. In this regard, all the main low-carbon tools, including efficiency improvement, coal phase-out, integration of renewable resources, utilisation of CCUS technology, and different low-carbon policies, are studied.…”

Section: Low-carbon Gepmentioning

confidence: 99%

Low‐carbon generation expansion planning considering flexibility requirements for hosting wind energy

Pourmoosavi

Amraee

2022

IET Generation Trans & Dist

Self Cite

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“…Due to the consequences of the carbon environment having an optimal plan for the expansion of the generation units is necessary to decrease the amount of carbon. So, in [22], a low carbon model for GEP is introduced. The problem is modelled as a mixed-integer linear programming (MILP) which is resolved through the CPLEX algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Game Theory Approach Using the TLBO Algorithm for Generation Expansion Planning by Applying Carbon Curtailment Policy

Jalalzad¹,

Yektamoghadam

Haghighi

et al. 2022

Energies

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In the present climate, due to the cost of investments, pollutants of fossil fuel, and global warming, it seems rational to accept numerous potential benefits of optimal generation expansion planning. Generation expansion planning by regarding these goals and providing the best plan for the future of the power plants reinforces the idea that plants are capable of generating electricity in environmentally friendly circumstances, particularly by reducing greenhouse gas production. This paper has applied a teaching–learning-based optimization algorithm to provide an optimal strategy for power plants and the proposed algorithm has been compared with other optimization methods. Then the game theory approach is implemented to make a competitive situation among power plants. A combined algorithm has been developed to reach the Nash equilibrium point. Moreover, the government role has been considered in order to reduce carbon emission and achieve the green earth policies. Three scenarios have been regarded to evaluate the efficiency of the proposed method. Finally, sensitivity analysis has been applied, and then the simulation results have been discussed.

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“…Steel with a carbon content of less than 0.3% is called low carbon steel, steel with a carbon content of 0.3%-0.6% is called medium carbon steel and steel with a carbon content of 0.6%-1.5% is called steel. high carbon [3]. Materials of low carbon steel affect the mechanical properties of materials, such as material toughness, material yield strength and material elongation [4] [5].…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of Low Carbon Steel Tensile Strength Using Software (SolidWorks)

Nasution

Widodo²

2022

r.e.m

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Pengujian tarik merupakan suatu mesin pengujian bahan yang paling mendasar. Pengujian merusak adalah salah satu pengujian untuk melihat kekuatan dan ketangguhan dari material. Pengujian ini sangat sederhana, tidak mahal dan sudah mengalami standarisasi di seluruh dunia, misalnya di Amerika dengan ASTM E-8 dan Jepang dengan JIS 2241. Penelitian ini ingin melihat besaran kekuatan bahan menggunakan metode elemen hingga. Metode elemen hingga (finite element method) merupakan metode numerik yang digunakan untuk menyelesaikan permasalahan dalam bidang rekayasa. Untuk meganalisa numerik menggunakan software SolidWorks. Material yang digunakan baja karbon rendah dan dibentuk geometrinya sesuai ASTM E8. Untuk melihat komposisi material digunakan microskop optical emission spectroscopy. Pengujian tarik eksperimen menggunakan mesin uji tarik Universal Test Machine dengan kapasitas maksimal 50 kN. Hasil pengujian eksperimental dan hasil pengamatan komposisi pada material dimasukkan kedalam software SolidWorks dan selanjutnya melakukan simulasi untuk mendapatkan/mengetahui besarnya nilai kekuatan dari material. Sebelum dilakukan simulasi setiap geometri spesimen dibedakan/divariasikan berdasarkan panjang mesh. Variasi mesh 2, 4, 6, 8 dan 10. Dari hasil pengujian eksperimen nilai tegangan (stress) yang diperoleh 2.451E+09N/m2. Hasil dari simulasi numerik, nilai tegangan pada material disetiap variasi berbeda – beda, ini menunjukkan bahwa silmulasi berjalan dengan baik. Nilai tegangan yang didapat pada eksperimental tidak begitu jauh besarnya dengan hasil simulasi. Hasil simulasi dengan panjang mesh 2 dan 4 sangat mendekati nilai dari eksperimen. Semakin besar mesh akan mempengaruhi nilai hasil simulasi.

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Low carbon generation expansion planning with carbon capture technology and coal phase-out under renewable integration

Cited by 31 publications

References 34 publications

Low‐carbon generation expansion planning considering flexibility requirements for hosting wind energy

Low‐carbon generation expansion planning considering flexibility requirements for hosting wind energy

A Game Theory Approach Using the TLBO Algorithm for Generation Expansion Planning by Applying Carbon Curtailment Policy

Numerical Analysis of Low Carbon Steel Tensile Strength Using Software (SolidWorks)

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