Using improved iterative gravity method to optimize the investment location of agricultural biomass power generation projects: a case study

Jump To References Section

Authors

  • Zhibin Liu
     ,CN
  • Xin Wang
     ,CN
  • Aisheng Ren
     ,CN

DOI:

https://doi.org/10.18311/ijprvd/2020/27945

Keywords:

Agricultural biomass power generation projects, investment location selection, optimized iterative gravity method, Huantai County

Abstract

Biomass power generation has characteristics of good quality of power generation, high reliability and mature technology. It plays significant aspects in maintaining the safety of energy, optimizing energy structure, alleviating environmental pollution and promoting the economic development in the rural areas. Analyzing the investment of biomass power generation in China systematically cannot only improve the scientificity of the investment process, but also guide the industry to develop rapidly and healthily. At present, the investment areas of agricultural biomass power generation projects are too concentrated and the fuel supply is difficult, which affect the normal operation of biomass power plants and lead to loss or on the verge of profit and loss of biomass power generation plants. This paper constructed the optimal model of investment location of agricultural biomass power generation projects using the iterative gravity algorithm based on the key factors analysis to affect the operation costs of agricultural biomass power plants. The model optimized the transportation lines and transportation distance, and gained the smallest transport costs of power generation materials after a few iterative calculations. This paper took Huantai County as an example, and determined the optimal investment location of agricultural biomass power project using the Region props toolbox of Matlab 7.4. The simulating calculation of Huantai County showed that the results given by this model are reliable, and this method to select the investment location of agricultural biomass power projects is feasible and effective.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2021-06-10

How to Cite

Liu, Z., Wang, X., & Ren, A. (2021). Using improved iterative gravity method to optimize the investment location of agricultural biomass power generation projects: a case study. Indian Journal of Power and River Valley Development, 70(9&10), 145–149. https://doi.org/10.18311/ijprvd/2020/27945

Issue

Volume 70, Issue 9&10, September-October 2020

Section

Articles
Received 2021-06-10
Accepted 2021-06-10
Published 2021-06-10

 

References

Zhang, M. M., Zhou, D. Q., Ding, H. and Jin, J. L. (2016): "Biomass Power Generation Investment in hina: A Real Options Evaluation”, Sustainability, no. 8, p.1-22

Zhao, Z. Y., Zuo, J., Wu, P. H., Yan, H. and Zillante, George (2016): "Competitiveness assessment of the biomass power generation industry in China: A five forces model study”, Renewable Energy, vol. 89, p.144-153

Lin, B. Q. and He, J. X.(2016): "Learning curves for harnessing biomass power: What could explain the reduction of its cost during the expansion of China?”, Renewable Energy, vol. 89, p280-288

Yan, Q. Y., Wan, W., Yuan, J. Y. Yin, J. T., Baležentis, Tomas and Streimikiene, Dalia (2017): "Economic and technical efficiency of the biomass industry in China: A network data envelopment analysis model involving externalities”, Energies, no. 10, p1-19

Zhang, Y. Z., Zhao, X.G., Ren, L. Z., Liang, J. and Liu, P. K.(2017): "The development of China's biomass power industry under feed-in tariff and renewable portfolio standard: A system dynamics analysis”, Energy, vol. 139, p947-961

Abdelhady, Suzan, Borello, Domenico and Shaban, Ahmed (2018): "Techno-economic assessment of biomass power plant fed with rice straw: Sensitivity and parametric analysis of the performance and the LCOE”, Renewable Energy, vol. 115, p1026-1034

Zhao, Z. Y. and Yan, H. (2012): "Assessment of the biomass power generation industry in China”, Renewable Energy, vol. 37, p53-60

Chen, L.Q. (2012): "The broad prospects of biomass energy and its power generation industry”, China New Energy, vol. 9, p53-55

Cui, H.R. and Wu, R. M. (2012): "Feasibility analysis of biomass power generation in China”, Energy Procedia, vol. 16, p45-52

Lin, B. Q. and He, J. X. (2017): "Is biomass power a good choice for governments in China?”, Renewable and Sustainable Energy Reviews, vol. 73, p1218-1230

Zhao, X. G. and Li, A. (2016): "A multi-objective sustainable location model for biomass power plants: Case of China”, Energy, vol. 112, p1184-1193

Klose, A. and Drexl, A. (2004): "Facility location models for distribution system design”, European Journal of Operational Research, vol. 15, p413-417

Yang, M.S, and Li, X. (2007): "Application of improved gravity method in location of logistics distribution center”, Logistics Technology,vol. 6, p60-62

Liu, H. W., Wang, C. L. Lun, M. H.and Chen, S. W. (2013): "Study on gravity model in optimization of logistics facilities location and its solution”, Logistics Technology, vol. 7, p287-290

Wang, P., Wang, X. Q. and Wang, M. B. (2005): "Logistics distribution center location of chain supermarket based on gravity method”, Electronic Commerce, vol. 1, p43-44

Contrerasa, I., Fernándezb, E., and Reineltc, G. (2012): "Minimizing the maximum travel time in a combined model of facility location and network design”, Omega, vol. 6, p847-860

Harkness, J. and ReVelle, C. (2003): "Facility location with increasing production costs”, European Journal of Operational Research, vol. 1, p1-13

Klamroth, K. and Weber, Planar (2001): "Location problems with line barriers”, Optimization, vol. 49, p517-527

Yi, J. M. (2013): "Logistics engineering”, Publishing House of Electronics Industry, Beijing.

Wei, J., Pi, A.T. and Zhang, J.H. (2012): "Research on the food distribution center location based on gravity method”, Journal of Changsha University, vol. 2, p87-89

Yuan, X. H., Lu, W. H. and Li, H. X. (2010): "Center-ofgravity fuzzy system and its probability representation theory”, Journal of Liaoning Technical University (Natural Science), vol. 5, p795-798

Taniguchi, E., Noritake, M., Yamada, T. and Izumitani, T. (1999): "Optimal size and location planning of public logistics terminals”, Transportation Research, Vol. 35E, p207-222

Hu, H.Z., Zhao, G. and Yang, H. N. (2010): "Fast algorithm to calculate generalized centroid of interval type-2 fuzzy set”, Control and Decision, vol. 4, p637-640

Zhao, L. (2012): "Research on the planning and site selection methods of straw power plants”, M. S. Thesis, North China Electric Power University, March.

Cheng, H. and Mou, R.F. (2014): "Location research of hazardous waste recycling center based on the improved gravity method”, Journal of Transportation Engineering and Information, vol. 4, p108-113

Li, L. H., Fu, Z., Hu, Z. D. and Zhou, H. P. (2012): , "Logistics nodes decision based on interval iterative genetic algorithm”, Application Research of Computers, vol. 10, p3713-3716