Cloud Based Solid Waste Transportation Optimisation for Energy Conversion

Effective and efficient management of solid waste is an incessantly growing and the obdurate problem of global and regional levels particularly for local authorities in urban centers. Several processes such as monitoring, collection, transporting, processing, recycling, and disposal are involved that requires immediate attention owing to economic and environmental concerns. Expressly the gathering and moving of solid waste to the energy production/recycling/ending destination has been prioritized higher because of its significant share of the total waste management budget. All these processes involve the mammoth amount of data and their manipulation for real-time use. Hence, this paper proposes a cloud based algorithm to optimize the transportation cost of solid waste from transfer stations to the final dumping stations subject to transfer vehicle constraints. The solid waste transportation dispatching is a direct analytical approach that provides three options: (i) Economic dispatch option provides a minimum operating cost of solid waste transfer and its corresponding emission; (ii) emission dispatch option provides a minimum vehicle emission for the same quantity of the solid waste transferred and its corresponding operating cost of transfer and finally (iii) an environmentally friendly economic transfer of solid waste. The efficacy of the algorithm has been shown with an enduring solid waste management system in the Indian context.

[1]  T. Sattich Energy Imports, Geoeconomics, and Regional Coordination: The Case of Germany and Poland in the Baltic Energy System - Close Neighbours, Close(r) Cooperation? , 2016 .

[2]  Amjad Kallel,et al.  Using GIS-Based Tools for the Optimization of Solid Waste Collection and Transport: Case Study of Sfax City, Tunisia , 2016 .

[3]  Wong Kiing Ing,et al.  Energy Efficiency Enhancement of Fossil-Fuelled Power Systems , 2015 .

[4]  N. Emodi,et al.  Sustainable Energy Development in Nigeria: Overcoming Energy Poverty , 2015 .

[5]  S. K. Muthusundar,et al.  A sustainable renewable energy mix option for the secluded society , 2014 .

[6]  B. Shahmoradi Collection of municipal solid waste in developing countries , 2013 .

[7]  W. Strielkowski,et al.  Energy Economics and Policy of Renewable Energy Sources in the European Union , 2013 .

[8]  Debra R Reinhart,et al.  Emissions from U.S. waste collection vehicles. , 2013, Waste management.

[9]  Ebenezer Bonyah,et al.  Forecasting and Planning for Solid Waste Generation in the Kumasi Metropolitan Area of Ghana: An ARIMA Time Series Approach , 2013 .

[10]  Viriato Semiao,et al.  Operation costs and pollutant emissions reduction by definition of new collection scheduling and optimization of MSW collection routes using GIS. The case study of Barreiro, Portugal. , 2013, Waste management.

[11]  Jie Liu,et al.  Ant Colony Algorithm for Waste Collection Vehicle Arc Routing Problem with Turn Constraints , 2012, 2012 Eighth International Conference on Computational Intelligence and Security.

[12]  Daniel Hoornweg,et al.  What a waste? : a global review of solid waste management , 2012 .

[13]  Yiyo Kuo,et al.  Optimizing the VRP by minimizing fuel consumption , 2011 .

[14]  Tapan Narayana,et al.  Municipal solid waste management in India: From waste disposal to recovery of resources? , 2009, Waste management.

[15]  D. P. Komilis,et al.  Conceptual modeling to optimize the haul and transfer of municipal solid waste. , 2008, Waste management.

[16]  N. S. Babu,et al.  Analytical solution for combined economic and emissions dispatch , 2008 .

[17]  M. Talha Gonullu,et al.  Emission control with route optimization in solid waste collection process: A case study , 2008 .

[18]  David Hummels Transportation Costs and International Trade in the Second Era of Globalization , 2007 .

[19]  C. Palanichamy,et al.  Day-Night Weather Based Economic Power Dispatch , 2002, IEEE Power Engineering Review.

[20]  Gilbert Laporte,et al.  Classical and modern heuristics for the vehicle routing problem , 2000 .

[21]  Christian Prins,et al.  Exact and heuristic algorithms for solving the generalized vehicle routing problem with flexible fleet size , 2014, Int. Trans. Oper. Res..

[22]  Adel Nadjaran Toosi,et al.  On the economics of infrastructure as a service cloud providers: pricing, markets, and profit maximization , 2014 .

[23]  S. And,et al.  Shanghai Manual – A Guide for Sustainable Urban Development in the 21st Century , 2011 .

[24]  K. Srikrishna,et al.  Analytica. approach for economic generation , 1986 .