8th International Symposium of the Digital Earth | |
Optimal waste-to-energy strategy assisted by GIS For sustainable solid waste management | |
地球科学;计算机科学 | |
Tan, S.T.^1 ; Hashim, H.^1 ; Lee, C.T.^1 ; Lim, J.S.^1 ; Kanniah, K.D.^2 | |
Faculty of Chemical Engineering, Universiti Teknologi Malaysia, Johor, Malaysia^1 | |
Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Johor, Malaysia^2 | |
关键词: Conversion technology; Economic potentials; Municipal solid waste (MSW); Optimal generation; Optimization modeling; Regional waste management; Renewable energies; Socio-economic development; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012159/pdf DOI : 10.1088/1755-1315/18/1/012159 |
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学科分类:计算机科学(综合) | |
来源: IOP | |
【 摘 要 】
Municipal solid waste (MSW) management has become more complex and costly with the rapid socio-economic development and increased volume of waste. Planning a sustainable regional waste management strategy is a critical step for the decision maker. There is a great potential for MSW to be used for the generation of renewable energy through waste incineration or landfilling with gas capture system. However, due to high processing cost and cost of resource transportation and distribution throughout the waste collection station and power plant, MSW is mostly disposed in the landfill. This paper presents an optimization model incorporated with GIS data inputs for MSW management. The model can design the multi-period waste-to-energy (WTE) strategy to illustrate the economic potential and tradeoffs for MSW management under different scenarios. The model is capable of predicting the optimal generation, capacity, type of WTE conversion technology and location for the operation and construction of new WTE power plants to satisfy the increased energy demand by 2025 in the most profitable way. Iskandar Malaysia region was chosen as the model city for this study.
【 预 览 】
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Optimal waste-to-energy strategy assisted by GIS For sustainable solid waste management | 773KB | download |