scholarly journals Deploying Municipal Solid Waste Management 3R-WTE Framework in Saudi Arabia: Challenges and Future

2020 ◽  
Vol 12 (14) ◽  
pp. 5711
Author(s):  
Laith A. Hadidi ◽  
Ahmed Ghaithan ◽  
Awsan Mohammed ◽  
Khalaf Al-Ofi
Keyword(s):  
Saudi Arabia ◽  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Energy Production ◽  
Solid Waste Management ◽  
Waste To Energy ◽  
Household Waste ◽  
Municipal Solid Waste Management ◽  
Residential Camp

The need for resilience and an agile waste management system in Saudi Arabia is vital to control safely the rapid growth of its municipal solid waste (MSW) with minimal environment toll. Similarly, the domestic energy production in Saudi Arabia is thriving and putting a tremendous pressure on its huge reserves of fossil oil. Waste to energy (WTE) plants provides a golden opportunity for Saudi Arabia; however, both challenges (MSW mitigation and energy production) are usually looked at in isolation. This paper at first explores the potential of expanding the WTE energy production in the eastern province in Saudi Arabia under two scenarios (complete mass burn with and without recycling). Secondly, this study analyzes the effect of 3Rs (reduce, reuse, recycle) practices implementation in a residential camp (11,000 population) to influence the behavior of the camp’s citizens to reduce their average waste (kg/capita). The results of the 3R-WTE framework show a potential may reach 254 Megawatt (MW) of electricity by year 2030. The 3R system implementation in the camp reduced MSW production from 5,625 tons to 3000 tons of household waste every year, which is considered lower than what the surrounding communities to be produced in the same area.

scholarly journals A Hybrid Fuzzy Decision Making Approach for Sitting a Solid Waste Energy Production Plant

2021 ◽  
Author(s):  
Kezban ALBAYRAK
Keyword(s):  
Decision Making ◽  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Energy Production ◽  
Solid Waste Management ◽  
Waste To Energy ◽  
Fuzzy Decision Making ◽  
Production Plant ◽  
Municipal Solid Waste Management

Abstract The rapid and uncontrolled growth of the world's population technological developments, increase in the social welfare and the transformation of societies into consumer societies have changed the dimensions of environmental problems. Nowadays waste management has become an important issue for the solution of environmental problems. Hence, we discussed the municipal solid waste management. Municipal solid waste management problem is a complex and it has many different aspects as political, social, technological and economical criteria have to consider. The evaluation of these criteria numerically is complicated and vague. This paper deals with this complexity by proposed methodology. Also the contribution of the article to the literature is that the proposed methodology is applied for the first time in municipal solid waste management problems. In this paper two fuzzy decision making approaches are combined for sitting a waste to energy plant in the Kırıkkale in Turkey. Four alternative locations and nine criteria are defined from the expert opinions and the literature survey. A new hybrid methodology that has not been applied before for this decision problem is proposed. In proposed methodology, there are two main stages. Criteria weights determination is the first stage and ranking of the alternative locations is the second stage of the methodology. In first stage Interval type 2 Fuzzy Analytic Hierarchy process (AHP) method is performed and in the second stage hesitant fuzzy Technique for order preference by similarity to an ideal solution (TOPSIS) method is used for ranking the alternative locations. Also decision makers have different experience level and knowledge about the problem and different decision makers’ weights are considered for group decision making. Two fuzzy methods are combined for the solid waste energy production plant location selection problem. As a result of the study, the second alternative (Bahsılı-Bedesten) is determined as the most suitable area for waste to energy production plant. Besides, with scenario analysis the effect of criteria on ranking of the alternatives is analyzed.

scholarly journals Determinants of Household Waste Segregation in Gorkha Municipality, Nepal

2018 ◽  
Vol 11 (1) ◽  
pp. 1 ◽  
Author(s):  
Bijan Maskey
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Household Waste ◽  
Municipal Solid Waste Management ◽  
Waste Segregation ◽  
The Law ◽  
The Government ◽  
Level Of Significance

Municipal solid waste management is a huge challenge specially in the developing countries. The first and fundamental step to solve the problem of municipal solid waste management is by waste segregation at source and separate collection of waste, which will help to recover recyclable materials and reduce the amount of waste that needs to be disposed at the dumpsite or landfill site. In Nepal, waste segregation at source is mandated by law but the government is not able to implement it successfully. This paper assesses the willingness of the households to practice waste segregation in future if the government enforces the law and various factors that influences the practice. Data was collected from 401 households which was selected using stratified sampling technique from all the municipal wards, the lowest administrative units in Nepal. The finding shows that about 67% of the respondents are willing to segregate waste in future if the government enforces the law. Logit regression model was employed to identify the factors that influence waste segregation practice. The significant variables found from this study are environmental awareness, waste collection service, willingness to pay, make compost, and segregated waste for a week variables, which are statistically significant at 1% level of significance. Income variable is significant at 5% level of significance and gender variable is significant at 10% level of significance. It is recommended that the concerned stakeholders should educate the households on the importance of waste segregation and consider these traits of households before enforcing the law.

Carbon Footprint of Municipal Solid Waste Management in Guelph City, Ontario

2019 ◽  
Vol 45 (4) ◽  
pp. 441-449
Author(s):  
Riham A. Mohsen ◽  
Bassim Abbassi ◽  
Animesh Dutta ◽  
David Gordon
Keyword(s):  
Sensitivity Analysis ◽  
Waste Management ◽  
Municipal Solid Waste ◽  
Greenhouse Gas ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Ghg Emissions ◽  
Waste To Energy ◽  
Municipal Solid Waste Management ◽  
Avoided Emissions

More light is being shed continually on the environmental impacts of municipal solid waste due to the increasing amounts of waste generated and the related greenhouse gas emissions. Emissions from MSW account for 20% of Canadian greenhouse gas (GHG) emissions and accordingly, waste legislation in Ontario demands high waste recovery and a moving towards a circular economy. This study evaluates the current municipal solid waste management in the City of Guelph and assesses possible alternative scenarios based on the associated GHG emissions. Waste Reduction Model (WARM) that was developed by the US-EPA has been used to quantify the GHG emissions produced over the entire life cycle of the MSW management scenario. Sensitivity analysis was also conducted to investigate the influence of some scenarios on the overall GHG emissions. It has been found that one ton of landfilled waste generates approximately 0.39 ton of carbon dioxide equivalent (CO2Eq). It was also found that the current solid waste scenario has a saving of 36086 million ton of CO2Eq (MCO2Eq). However, the results showed that the scenario with enhanced waste-to-energy, reduction at source and recycling has resulted in a high avoided emissions (0.74 kg CO2Eq/kg MSW). The anaerobic Digestion scenario caused the lowest avoided emissions of 0.39 kg CO2Eq/kg MSW. The net avoided emissions for reduction at source scenario were found to be the same as that found by the current scenario (0.4 kg CO2Eq/kg MSW). The sensitivity analysis of both reduction at source and recycling rates show a linear inverse proportional relationship with total GHG emissions reduction.

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