Development of Optimization Model for Fuel Supply in District Heating System Based on Environment and Heat Demand Joint Constraints

Abstract:

In this study, fuel supply optimization model coupled with environmental emission standard and heat demond prediction was applied in the district heating system of a new economic district in the middle part of Liaoning Province. The model results indicate that the coals from different sources and the use of nature gas are influenced while the component ratio of each coal type in coal bending is not influenced by the thermalization coefficient. Moreover, the results also shows that the thermalization coefficient can be regulated by the decision maker of the district heating system, resulting in redistributing the heat supplies between the main heat supply source and peak-shaving heat supply source in order to further obtain the reasonable heating alternative, which has both the economic and environmental merits for the residential users.

• Periodical: Applied Mechanics and Materials (Volume 535)
• Pages: 309-314
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.535.309
• Online since: February 2014
• Authors: Dian Zheng Fu*, Guo He Huang
• Keywords: Coal Blending, District Heating, Optimization Model, Thermalization Coefficient

References

[1] D. Magnusson, Swedish district heating—A system in stagnation: Current and future trends in the district heating sector, Energy Policy. 48 (2012): 449–459.

DOI: 10.1016/j.enpol.2012.05.047

[2] A. Korppoo and N. Korobova, Modernizing residential heating in Russia: End-use practices, legal developments, and future prospects, Energy Policy. 42 (2012): 213-220.

DOI: 10.1016/j.enpol.2011.11.078

[3] B. Wei, S.L. Wang and L. Li, Fuzzy comprehensive evaluation of district heating systems, Energy Policy. 38 (2010): 5947–5955.

DOI: 10.1016/j.enpol.2010.05.048

[4] N. Aste, R.S. Adhikari, J. Compostella and Claudio Del Pero, Energy and environmental impact of domestic heating in Italy: Evaluation of national NOx emissions, Energy Policy. 53 (2013): 353–360.

DOI: 10.1016/j.enpol.2012.10.064

[5] Z.H. Lin, Influences of the energy policy reformation of our country on developments of industrial boilers, Industrial Boiler. 18 (2002): 4–7.

[6] D. Brkic, and T.I. Tanaskovic, Systematic approach to natural gas usage for domestic heating in urban areas, Energy. 33 (2008): 1738–1753.

DOI: 10.1016/j.energy.2008.08.009

[7] H.C. Park and H. Kim, Heat supply systems using natural gas in the residential sector: The case of the agglomeration of Seoul, Energy Policy. 36 (2008): 3843–3853.

DOI: 10.1016/j.enpol.2008.07.011

[8] M.S. Torekov, N. Bahnsen and B. Qvale, The relative competitive positions of the alternative means for domestic heating, Energy. 32 (2007): 627 – 633.

DOI: 10.1016/j.energy.2006.10.002

[9] H.C. Wang, W. L. Jiao, and P.H. Zou and J.C. Liu, Analysis of an effective solution to excessive heat supply in a city primary heating network using gas-fired boilers for peak-load compensation, Energy and Buildings. 42 (2010): 2090–(2097).

DOI: 10.1016/j.enbuild.2010.06.020

[10] C.G. Yin, Z.Y. Luo, J. H, Zhou and K.F. Cen, A Novel Non-Linear Programming-Based Coal Blending Technology for Power Plants, Chemical Engineering Research and Design. 78 (2000): 118-124.

DOI: 10.1205/026387600526951

[11] J.C. Wang, W.D. Fan, Y. Li, M. Xiao, K. Wang and P. Ren, The effect of air staged combustion on NOx emissions in dried lignite combustion, Energy. 37 (2012): 725-736.

DOI: 10.1016/j.energy.2011.10.007

[12] J. Bai, W. Li, C.Z. Li, Z.Q. Bai and B.Q. Li, Influence of coal blending on mineral transformation at high temperatures, Mining Science and Technology. 19 (2009): 300-305 (In Chinese).

DOI: 10.1016/s1674-5264(09)60056-9

[13] Q.Y. Wang, L. Zhang, A. Sato, Y. Ninomiya and T. Yamashita, Effects of coal blending on the reduction of PM10 during high-temperature combustion 1, Fuel. 87 (2008): 2997-3005.

DOI: 10.1016/j.fuel.2008.04.013

[14] D.Z. Fu, G.H. Huang and Y.M. Liu, Optimization Study of Coal Blending Based on Heat supply and Power Generation Analysis, Electric power construction. 34 (2013): 71-76 (in Chinese).