Optimal allocation of energy sources for sustainable development in South Korea: Focus on the electric power generation industry

Ahn, Joongha; Woo, JongRoul; Lee, Jongsu

doi:10.1016/j.enpol.2014.12.023

Cited by 40 publications

(27 citation statements)

References 25 publications

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“…The South Korean government has implemented plans and policies to reduce their dependency on fossil fuels and nuclear power and to promote the installation of renewable power generation facilities [22]. Thus, the local governments and research institutes also focused on the wide dissemination and efficient management of renewable electricity generation systems in their offices [23,24].…”

Section: Discussionmentioning

confidence: 99%

Economic Feasibility of Renewable Electricity Generation Systems for Local Government Office: Evaluation of the Jeju Special Self-Governing Province in South Korea

et al. 2017

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While environmental and energy concerns have become global issues, the government of South Korea has made notable efforts and formulated plans for the diffusion of renewable energy generation facilities for the nation's public and governmental institutions. Accordingly, Jeju Island has become one of the most promising locations for utilizing renewable energy resources. This study aims to propose potential configurations for renewable energy generation facilities (mainly solar and wind energy facilities) in response to the electricity demand of the main local governmental offices of Jeju Special Self-Governing Province. The study utilizes the hybrid optimization of multiple energy resources software to simulate two optimized configurations for generation at a cost of energy of $0.306 per kWh (independent) and $0.204 per kWh (grid-connected) with 100% renewable fraction for the island. The implications of the simulation results and limitations of the study are discussed.

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Section: Discussionmentioning

confidence: 99%

Economic Feasibility of Renewable Electricity Generation Systems for Local Government Office: Evaluation of the Jeju Special Self-Governing Province in South Korea

et al. 2017

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“…Here, it should be noted that the original formulation of Ahn et al [4] omitted the capacity factor while it considered generation-hour-based O and M cost. In order to give consistency, the formulation in this study has the capacity factor.…”

Section: Optimization Formulationmentioning

confidence: 99%

“…The optimal energy mix model in this study is fundamentally based on the least-cost optimization model in previous research [4]. However, this model improves the formulation structure, uses updated data, and provides more explanatory computation results.…”

Section: Optimization Formulationmentioning

confidence: 99%

“…where T denotes number of total project years (2012-2030 in this study), i denotes discount rate (5% in this study [4]), C e Const denotes the unit construction cost (US$/MW) of energy source e (each energy source has different unit construction cost as shown in Table 3 [26,27], and I e t denotes installed capacity (MW) of energy source e in year t.…”

Section: Optimization Formulationmentioning

confidence: 99%

“…Three identical pie charts in the second row of Table 1 show the original energy mix of electricity generation in 2011 where gas accounts for 31.8%, coal 36.8%, nuclear 27.4%, hydro 2.5%, wind 0.6%, photovoltaic (PV) 0.8%, and biomass 0.1%, out of total 68.3 GW with respect to generation capacity. Additionally, three identical pie charts in the second row of Table 2 show the original energy mix of electricity generation in 2011 where gas accounts for 32.4%, coal 36.6%, nuclear 28.9%, hydro 1.6%, wind 0.2%, PV 0.2%, and biomass 0.1%, out of total 511 million MWh with respect to generation amount [4]. However, how to optimally mix those energy sources in the future while satisfying carbon emission limits and installing more renewable energy sources becomes a critical problem.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Energy Mix with Renewable Portfolio Standards in Korea

Geem

Kim

2016

Sustainability

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Korea is a heavily energy-dependent country whose primary energy consumption ranks ninth in the world. However, at the same time, it promised to reduce carbon emission and planned to use more renewable energy. Thus, the objective of this study is to propose an optimal energy mix planning model in electricity generation from various energy sources, such as gas, coal, nuclear, hydro, wind, photovoltaic, and biomass, which considers more renewable and sustainable portions by imposing governmental regulation named renewable portfolio standard (RPS). This optimization model minimizes various costs such as construction cost, operation and management cost, fuel cost, and carbon emission cost while satisfying minimal demand requirement, maximal annual installation potential, and renewable portfolio standard constraints. Results showed that this optimization model could successfully generate energy mix plan from 2012 to 2030 while minimizing the objective costs and satisfying all the constraints. Therefore, this optimization model contributes more efficient and objective method to the complex decision-making process with a sustainability option. This proposed energy mix model is expected to be applied not only to Korea, but also to many other countries in the future for more economical planning of their electricity generation while affecting climate change less.

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Environmental sustainability policy on plug-in hybrid electric vehicle penetration utilizing fuzzy TOPSIS and game theory

Samaie

Javadi

Meyar‐Naimi

et al. 2020

Clean Techn Environ Policy

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Optimal allocation of energy sources for sustainable development in South Korea: Focus on the electric power generation industry

Cited by 40 publications

References 25 publications

Economic Feasibility of Renewable Electricity Generation Systems for Local Government Office: Evaluation of the Jeju Special Self-Governing Province in South Korea

Economic Feasibility of Renewable Electricity Generation Systems for Local Government Office: Evaluation of the Jeju Special Self-Governing Province in South Korea

Optimal Energy Mix with Renewable Portfolio Standards in Korea

Environmental sustainability policy on plug-in hybrid electric vehicle penetration utilizing fuzzy TOPSIS and game theory

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