### Abstract

A multi-stage optimal renewal planning problem for the energy supply system is studied by evaluating the long-term economics based on the annualized cost method. This problem is mathematically expressed as a mixed integer-linear programming formula, and a numerical study is carried out for an office building using the GAMS/CPLEX solver. Decision variables are the renewal year and the system's configuration at each of the renewal multi-stages together with the system's operational strategy for hourly changing energy demands. By taking the deterioration of the existing equipment of the system into account, the renewal system is assumed to be composed by adding the same and new types of equipment with technologically improved performance. The present planning year is set as 10 years after the system's initial construction, and the evaluation period is assumed to be 20 years from present, with the system renewed twice during this period. The main results are as follows: From the economic standpoint, the optimal first and second renewal years are the 10^{th} and 22^{nd} years after the system's initial construction. Comparing this optimal solution with the reference renewal plan, which renews the system using the same configuration only once, 15 years after the initial construction, the average annual total cost can be reduced 4.89 %.

Original language | English |
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Title of host publication | Proceedings of the 23rd International Conference on Efficiency, Cost, Optimization, Simulation, and Environmental Impact of Energy Systems, ECOS 2010 |

Publisher | Aabo Akademi University |

Pages | 301-308 |

Number of pages | 8 |

Volume | 5 |

ISBN (Print) | 9781456303204 |

Publication status | Published - 2010 |

Event | 23rd International Conference on Efficiency, Cost, Optimization, Simulation, and Environmental Impact of Energy Systems, ECOS 2010 - Lausanne Duration: 2010 Jun 14 → 2010 Jun 17 |

### Other

Other | 23rd International Conference on Efficiency, Cost, Optimization, Simulation, and Environmental Impact of Energy Systems, ECOS 2010 |
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City | Lausanne |

Period | 10/6/14 → 10/6/17 |

### Fingerprint

### Keywords

- Energy supply system
- Multi-stage optimization
- Office building
- Renewal planning

### ASJC Scopus subject areas

- Energy(all)
- Environmental Science(all)

### Cite this

*Proceedings of the 23rd International Conference on Efficiency, Cost, Optimization, Simulation, and Environmental Impact of Energy Systems, ECOS 2010*(Vol. 5, pp. 301-308). Aabo Akademi University.

**A multi-stage optimal renewal planning ofan energy supply system foran office building from an economic viewpoint.** / Yoshida, Shu; Ito, Koichi; Amano, Yoshiharu; Matsuo, Keigo; Hashizume, Takumi; Favrat, Daniel; Maréchal, François.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the 23rd International Conference on Efficiency, Cost, Optimization, Simulation, and Environmental Impact of Energy Systems, ECOS 2010.*vol. 5, Aabo Akademi University, pp. 301-308, 23rd International Conference on Efficiency, Cost, Optimization, Simulation, and Environmental Impact of Energy Systems, ECOS 2010, Lausanne, 10/6/14.

}

TY - GEN

T1 - A multi-stage optimal renewal planning ofan energy supply system foran office building from an economic viewpoint

AU - Yoshida, Shu

AU - Ito, Koichi

AU - Amano, Yoshiharu

AU - Matsuo, Keigo

AU - Hashizume, Takumi

AU - Favrat, Daniel

AU - Maréchal, François

PY - 2010

Y1 - 2010

N2 - A multi-stage optimal renewal planning problem for the energy supply system is studied by evaluating the long-term economics based on the annualized cost method. This problem is mathematically expressed as a mixed integer-linear programming formula, and a numerical study is carried out for an office building using the GAMS/CPLEX solver. Decision variables are the renewal year and the system's configuration at each of the renewal multi-stages together with the system's operational strategy for hourly changing energy demands. By taking the deterioration of the existing equipment of the system into account, the renewal system is assumed to be composed by adding the same and new types of equipment with technologically improved performance. The present planning year is set as 10 years after the system's initial construction, and the evaluation period is assumed to be 20 years from present, with the system renewed twice during this period. The main results are as follows: From the economic standpoint, the optimal first and second renewal years are the 10th and 22nd years after the system's initial construction. Comparing this optimal solution with the reference renewal plan, which renews the system using the same configuration only once, 15 years after the initial construction, the average annual total cost can be reduced 4.89 %.

AB - A multi-stage optimal renewal planning problem for the energy supply system is studied by evaluating the long-term economics based on the annualized cost method. This problem is mathematically expressed as a mixed integer-linear programming formula, and a numerical study is carried out for an office building using the GAMS/CPLEX solver. Decision variables are the renewal year and the system's configuration at each of the renewal multi-stages together with the system's operational strategy for hourly changing energy demands. By taking the deterioration of the existing equipment of the system into account, the renewal system is assumed to be composed by adding the same and new types of equipment with technologically improved performance. The present planning year is set as 10 years after the system's initial construction, and the evaluation period is assumed to be 20 years from present, with the system renewed twice during this period. The main results are as follows: From the economic standpoint, the optimal first and second renewal years are the 10th and 22nd years after the system's initial construction. Comparing this optimal solution with the reference renewal plan, which renews the system using the same configuration only once, 15 years after the initial construction, the average annual total cost can be reduced 4.89 %.

KW - Energy supply system

KW - Multi-stage optimization

KW - Office building

KW - Renewal planning

UR - http://www.scopus.com/inward/record.url?scp=84896080897&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84896080897&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84896080897

SN - 9781456303204

VL - 5

SP - 301

EP - 308

BT - Proceedings of the 23rd International Conference on Efficiency, Cost, Optimization, Simulation, and Environmental Impact of Energy Systems, ECOS 2010

PB - Aabo Akademi University

ER -