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Operation Planning of District Heating and Cooling Plants Considering Contract Violation Penalties


Kosuke Kato*, Masatoshi Sakawa*, Keiichi Ishimaru**,
and Satoshi Ushiro**


*Graduate School of Engineering, Hiroshima University 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan
**Urban Facilities Division, Shinryo Corporation 3-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 163-1021, Japan


Received: November 22, 2008

Accepted: February 9, 2009


Keywords: district heating and cooling system, operation planning, nonlinear integer programming, contract violation penalty

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.13, No.3 pp. 185-192, 2009

Abstract



Urban district heating and cooling (DHC) systems operate large freezers, heat exchangers, and boilers to stably and economically supply hot and cold water, steam, etc., based on customer demand. We formulate an operation-planning problem as a nonlinear integer programming problem for an actual DHC plant. To reflect actual decision making appropriately, we incorporate contract-violation penalties into the running cost consisting of fuel and arrangements expenses. We, then, solve operation-planning problems with and without penalties, demonstrating the effectiveness of taking penalties into consideration.
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Reference

[1] K. Ito and R. Yokoyama, “Optimal Planning of Co-Generation Systems,” Sangyo Tosho, 1990 (in Japanese).

[2] K. Kato, M. Sakawa, K. Ishimaru, S. Ushiro, and T. Shibano, “Heat load prediction through recurrent neural network in district heating and cooling systems,” Proc. of 2008 IEEE Int. Conf. on Systems, Man and Cybernetics (SMC 2008), pp. 1401-1406, 2008.

[3] M. Sakawa, K. Kato, and S. Ushiro, “Cooling load prediction in a district heating and cooling system through simplified robust filter and multi-layered neural network,” Applied Artificial Intelligence, Int. Journal, Vol.15, No.7, pp. 633-643, 2001.

[4] R. Yokoyama and K. Ito, “A revised decomposition method for MILP problems and its application to operational planning of thermal storage systems,” Journal of Energy Resources Technology, Vol.118, pp. 277-284, 1996.

[5] D. Henning, S. Amiri, and K. Holmgren, “Modelling and optimisation of electricity, steam and district heating production for a local Swedish utility,” European Journal of Operational Research, Vol.175, No.2, pp. 1224-1247, 2006.

[6] M. Sakawa, K. Kato, and S. Ushiro, “Operation-planning of district heating and cooling plants through genetic algorithms for nonlinear 0-1 programming,” Computers & Mathematics with Applications, Vol.42, No.10-11, pp. 1365-1378, 2001.

[7] M. Sakawa, K. Kato, S. Ushiro, and M. Inaoka, “Operation-planning of district heating and cooling plants using genetic algorithms for mixed integer programming,” Applied Soft Computing, Vol.1, No.2, pp. 139-150, 2001.

[8] S. Hanafi and A. Freville, “An efficient tabu search approach for the 0-1 multidimensional knapsack problem,” European Journal of Operational Research, Vol.106, No.2-3, pp. 659-675, 1998.

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