에너지공학 (Journal of Energy Engineering)

  • 제27권4호
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  • Pages.50-63
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  • 2018
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  • 1598-7981(pISSN)
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  • 2713-7074(eISSN)
한국에너지학회 (The Korean Society for Energy)
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산업폐열 발전시스템 경제성분석 모듈 개발 및 신뢰성 최적화

Development and Reliability Optimization of Economic Analysis Module for Power Generation System from Industrial Waste Heat Recovery

  • 고아름 (고등기술연구원 플랜트SE팀) ;
  • 박성호 (고등기술연구원 플랜트SE팀) ;
  • 김준영 (고등기술연구원 플랜트SE팀) ;
  • 차재민 (고등기술연구원 플랜트SE팀)
  • Ko, Areum (Plant Systems Engineering Team, Institute for Advanced Engineering) ;
  • Park, Sungho (Plant Systems Engineering Team, Institute for Advanced Engineering) ;
  • Kim, Joon-Young (Plant Systems Engineering Team, Institute for Advanced Engineering) ;
  • Cha, Jae-Min (Plant Systems Engineering Team, Institute for Advanced Engineering)
  • 투고 : 2018.10.11
  • 심사 : 2018.11.29
  • 발행 : 2018.12.31
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초록

화석연료의 무분별한 사용으로 인해 지구 온난화 및 환경오염 문제가 대두되고 있으며, 이에 따라 효율적인 에너지 활용을 위해 기존에 버려지는 폐열을 회수하는 기술에 대한 필요성이 커지고 있다. 산업폐열 발전 시장은 발전효율을 높일 수 있다는 장점으로 인해 연평균 5% 성장하고 있다. 고효율 폐열발전시스템 설계를 위해 열원별 조건에 따른 발전 기술별 경제성을 평가할 수 있는 프로그램 개발이 필요하다. 따라서 본 연구에서는 산업폐열 발전시스템에 최적화된 경제성분석 모듈 개발을 위해 균등화 전력원가를 산출하는 모듈을 개발하고 NETL의 경제성분석 사례를 바탕으로 시스템의 신뢰도를 검증하였다. 검증 결과, 오차율은 약 6~7%로 사업 타당성 평가를 위한 정확도를 만족하였으나, 신뢰성 향상을 위해 NETL에서 사용하는 균등화 방법론을 적용하여 알고리즘을 개선하였고 이에 따라 오차율은 1% 미만으로 신뢰도가 향상되었다.

The issue of global warming and environmental pollutant has become an international concern due to the widespread use of fossil fuels, and thus waste heat recovery technologies has become important to improve energy utilization. The global market of power generation system using industrial waste heat is rapidly growing at an average rate of 5% due to its advantage of increasing energy efficiency. In order to design an optimal waste heat recovery system, it is necessary to develop a program that offers economic evaluation of each power generating technology according to the heat source conditions. In this paper, the economic analysis module to calculate LCOE is developed and verified the reliability against NETL economic analysis results. As a result of the verification, the error rate is about 6 ~ 7%, which satisfy the accuracy for business feasibility evaluation. In order to enhance the reliability, the module was improved by applying the levelization method used by NETL. As a result of the verification of reliability, the error rate is less than 1% and the accuracy is improved.

키워드

OGJGBN_2018_v27n4_50_f0001.png 이미지

Fig. 1. Schematic diagram for the calculation of Total Capital Investment and Total Revenue Requirement

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Fig. 2. Cashflow for levelization of Total Revenue Requirement

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Fig. 3. Methodology to estimate LCOE calculated by Economic analysis program

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Fig. 4. Architecture of ‘Calculate levelized cost of electricity’ (Level 2)

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Fig. 5 Architecture of ‘Calculate levelized cost of electricity’ (Level 4)

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Fig. 6. The comparison results of NGCC cases

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Fig. 7. The comparison results of IGCC cases

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Fig. 8. Comparison of levelization methods (NGCC B31A)

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Fig. 9. The comparison results of NGCC cases using NETL levelization method

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Fig. 10. The comparison results of IGCC cases using NETL levelization method

Table 1. Cost Estimate Classification Matrix for Process Industries [18]

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Table 2. NETL Cases Descriptions

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Table 3. Economic index input summary (NGCC B31A case)

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Table 4. Financial structure for NGCC and IGCC cases

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참고문헌

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