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Impact analysis of carbon tax on the renewal planning of energy supply system for an office building

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  • Amano, Y.
  • Ito, K.
  • Yoshida, S.
  • Matsuo, K.
  • Hashizume, T.
  • Favrat, D.
  • Maréchal, F.

Abstract

An optimal planning method is proposed for the renewal-planning problem of an energy supply system installed into building from economic viewpoint. In this method, the objective function to be minimized is the average annual total cost during the evaluation period of the objective system based on the annualized costs method, and the renewal year is considered as a decision variable together with the renewal system's structure, equipment capacities, and system's operational strategy. This problem is formulated as one of the mixed-integer linear programming problem, and a numerical study is carried out for an office building with the total floor area of 15,000m2 by using the GAMS/CPLEX solver. Impact analysis of the carbon tax introduction is mainly studied on the renewal planning mentioned above, and the following results are obtained:

Suggested Citation

  • Amano, Y. & Ito, K. & Yoshida, S. & Matsuo, K. & Hashizume, T. & Favrat, D. & Maréchal, F., 2010. "Impact analysis of carbon tax on the renewal planning of energy supply system for an office building," Energy, Elsevier, vol. 35(2), pages 1040-1046.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:2:p:1040-1046
    DOI: 10.1016/j.energy.2009.06.023
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    References listed on IDEAS

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    1. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    2. Duan, Hong-Bo & Zhu, Lei & Fan, Ying, 2014. "Optimal carbon taxes in carbon-constrained China: A logistic-induced energy economic hybrid model," Energy, Elsevier, vol. 69(C), pages 345-356.
    3. Tsai, Wen-Hsien & Lin, Sin-Jin & Liu, Jau-Yang & Lin, Wan-Rung & Lee, Kuen-Chang, 2011. "Incorporating life cycle assessments into building project decision-making: An energy consumption and CO2 emission perspective," Energy, Elsevier, vol. 36(5), pages 3022-3029.

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