Optimal waste-to-energy strategy assisted by GIS For sustainable solid waste management

A Review of the Application of Gis in Biomass and Solid Waste Supply Chain Optimization: Gaps and Opportunities for Developing Nations

“…In a number of cases, the GIS is integrated with simulation or optimization tools and can either be embedded in the overall program or be a precursor to predetermine the best candidate sites for subsequent SC optimization (He-Lambert et al, 2018;Tan et al, 2014;Woo et al, 2018;Zhang et al, 2016). A review of the use of GIS in routing optimization shows that this application is more prevalent in SW collection and transport problems rather than biomass SCs (Ahmed, 2006).…”

“…They highlighted that optimal site location of a landfill (applies to a bioenergy or WtE site) is complex, requiring consideration of various technical, environmental, legal and socio-economic constraints (Chalkias & Lasaridi, 2011). Tan et al (2014) reiterated the increasing complexity and cost of MSW management, especially given the rapid socio-economic development and increased volumes of waste (Tan et al, 2014). Nwosu and Pepple (2016) added that the involvement of so many parameters make the empirical process of selecting such sites complicated, costly and time consuming (Nwosu & Pepple, 2016).…”

“…Sufiyan et al (2015) then recommended the use of GIS to determine the spatial & temporal quantities of major illegal dumpsites dotted around such areas them to help in planning, prioritization and mobilizing private and public partnerships in the collection of the SW (Sufiyan et al, 2015). Tan et al (2014) synthesized a model that 'preferential-FIGURE 3: Methodology for GIS model for use in optimal route selection (Chalkias & Lasaridi, 2009).…”

“…ly utilizes the waste to produce energy to meet the targeted demand with the best mix of WtE technology, types of waste, power plant capacity, location and annual planning of WtE power plant construction' for a Malaysian region in the years 2012-2025 (Tan et al, 2014). They integrated the GIS with a Mathematical model with an overall objective of minimizing the total cost of the WtE strategy.…”

“…The suitability criteria comprised maximum driving distance for dump trucks, minimum allowable distances from residential areas, proximity to customers and elevation above sea level. The mathematical model then factored in the technology selection and plant capacity, using cost factors supplied by literature for various technologies and plant sizes (Tan et al, 2014). The objective function for this module was to reduce the cost of producing electricity given constraints of feedstock resources availability, capacity demand, construction lead time and location.…”