Abstract
In this paper, based on the multi-objective optimization approach, a renewal planning method is proposed for the energy supply system to determine the optimal renewal one by selecting optimal renewal year and system's structure from both economic and environmental viewpoints simultaneously. In this method, one objective function is the annual total cost of the system, which is the summation of the annual capital, operational and maintenance costs based on the annualized cost method during the evaluation years. The other objective function is the average annual total amount of CO2 emission during the evaluation years. The numerical optimal solution is derived for the system of an office building by the conventional mixed integer linear programming algorithm together with the ε-constraint method. As a result, the set of Pareto optimal solutions is derived, and the trade-off relationship between economy and environment is analyzed. Through the result of the set of Pareto optimal solutions, tolerating the increase of the system's annual total cost up to 1%, we can reduce the amount of CO2 emission from the system up to 15%. One main result also obtained shows that it is necessary to introduce different types of electrically-driven equipment such as heat pumps to reduce CO2 emission.
| Original language | English |
|---|---|
| Title of host publication | ECOS 2008 - Proceedings of the 21st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems |
| Publisher | Silesian University of Technology |
| Pages | 1545-1552 |
| Number of pages | 8 |
| ISBN (Print) | 9788392238140 |
| Publication status | Published - 2008 |
| Event | 21st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2008 - Cracow-Gliwice, Poland Duration: 2008 Jun 24 → 2008 Jun 27 |
Other
| Other | 21st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2008 |
|---|---|
| Country | Poland |
| City | Cracow-Gliwice |
| Period | 08/6/24 → 08/6/27 |
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Keywords
- Energy supply systems
- Multi-objective optimization
- Renewal planning
- Trade-off analysis
ASJC Scopus subject areas
- Energy(all)
- Engineering(all)
Cite this
Multi-objective optimal renewal planning of energy supply systems for buildings from economic and environmental viewpoints. / Yoshida, Shu; Ito, Koichi; Amano, Yoshiharu; Hashizume, Takumi.
ECOS 2008 - Proceedings of the 21st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems. Silesian University of Technology, 2008. p. 1545-1552.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-objective optimal renewal planning of energy supply systems for buildings from economic and environmental viewpoints
AU - Yoshida, Shu
AU - Ito, Koichi
AU - Amano, Yoshiharu
AU - Hashizume, Takumi
PY - 2008
Y1 - 2008
N2 - In this paper, based on the multi-objective optimization approach, a renewal planning method is proposed for the energy supply system to determine the optimal renewal one by selecting optimal renewal year and system's structure from both economic and environmental viewpoints simultaneously. In this method, one objective function is the annual total cost of the system, which is the summation of the annual capital, operational and maintenance costs based on the annualized cost method during the evaluation years. The other objective function is the average annual total amount of CO2 emission during the evaluation years. The numerical optimal solution is derived for the system of an office building by the conventional mixed integer linear programming algorithm together with the ε-constraint method. As a result, the set of Pareto optimal solutions is derived, and the trade-off relationship between economy and environment is analyzed. Through the result of the set of Pareto optimal solutions, tolerating the increase of the system's annual total cost up to 1%, we can reduce the amount of CO2 emission from the system up to 15%. One main result also obtained shows that it is necessary to introduce different types of electrically-driven equipment such as heat pumps to reduce CO2 emission.
AB - In this paper, based on the multi-objective optimization approach, a renewal planning method is proposed for the energy supply system to determine the optimal renewal one by selecting optimal renewal year and system's structure from both economic and environmental viewpoints simultaneously. In this method, one objective function is the annual total cost of the system, which is the summation of the annual capital, operational and maintenance costs based on the annualized cost method during the evaluation years. The other objective function is the average annual total amount of CO2 emission during the evaluation years. The numerical optimal solution is derived for the system of an office building by the conventional mixed integer linear programming algorithm together with the ε-constraint method. As a result, the set of Pareto optimal solutions is derived, and the trade-off relationship between economy and environment is analyzed. Through the result of the set of Pareto optimal solutions, tolerating the increase of the system's annual total cost up to 1%, we can reduce the amount of CO2 emission from the system up to 15%. One main result also obtained shows that it is necessary to introduce different types of electrically-driven equipment such as heat pumps to reduce CO2 emission.
KW - Energy supply systems
KW - Multi-objective optimization
KW - Renewal planning
KW - Trade-off analysis
UR - http://www.scopus.com/inward/record.url?scp=84887413827&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887413827&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84887413827
SN - 9788392238140
SP - 1545
EP - 1552
BT - ECOS 2008 - Proceedings of the 21st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
PB - Silesian University of Technology
ER -