A multi-objective optimization model for strategic waste management master plans. (15th February 2021)
- Record Type:
- Journal Article
- Title:
- A multi-objective optimization model for strategic waste management master plans. (15th February 2021)
- Main Title:
- A multi-objective optimization model for strategic waste management master plans
- Authors:
- Abdallah, Mohamed
Hamdan, Sadeque
Shabib, Ahmad - Abstract:
- Abstract: The optimization of solid waste management strategies is challenging due to the various alternatives and objectives, particularly in terms of the material and energy recovery systems. This paper presents a systematic optimization framework that identifies the most beneficial set of waste to energy (WTE) management strategies through non-linear mathematical modelling. The proposed model determines the optimum allocation of the different waste streams to selected waste management facilities, including material recovery facilities (MRFs), incinerators, anaerobic digestion (AD) plants, and sanitary landfills with gas recovery. The waste generated was divided into three streams, namely readily biodegradables, recyclables, and non-recyclables. The model objectives included maximum material and energy recovery, financial profitability, as well as minimum carbon footprint. The optimum hybrid strategy was based on the relative importance of each objective, which was acquired through a Fuzzy Analytic Hierarchy Process (AHP). The optimization framework was tested to generate an optimum 20-year hybrid waste management strategy for an example country, the United Arab Emirates (UAE). The optimum strategy included the complete allocation of readily biodegradable waste to AD plants up to the 14th year, followed by gradual disposal in landfills for additional waste. All MRF rejects and non-recyclables were disposed in landfills throughout the assessment period. The multi-objectiveAbstract: The optimization of solid waste management strategies is challenging due to the various alternatives and objectives, particularly in terms of the material and energy recovery systems. This paper presents a systematic optimization framework that identifies the most beneficial set of waste to energy (WTE) management strategies through non-linear mathematical modelling. The proposed model determines the optimum allocation of the different waste streams to selected waste management facilities, including material recovery facilities (MRFs), incinerators, anaerobic digestion (AD) plants, and sanitary landfills with gas recovery. The waste generated was divided into three streams, namely readily biodegradables, recyclables, and non-recyclables. The model objectives included maximum material and energy recovery, financial profitability, as well as minimum carbon footprint. The optimum hybrid strategy was based on the relative importance of each objective, which was acquired through a Fuzzy Analytic Hierarchy Process (AHP). The optimization framework was tested to generate an optimum 20-year hybrid waste management strategy for an example country, the United Arab Emirates (UAE). The optimum strategy included the complete allocation of readily biodegradable waste to AD plants up to the 14th year, followed by gradual disposal in landfills for additional waste. All MRF rejects and non-recyclables were disposed in landfills throughout the assessment period. The multi-objective optimum strategy would recover enough energy to cover approximately 4.2% of the total energy demand in the UAE while reducing around 97.6% of the carbon footprint from landfilling. In terms of the net present value, the optimum hybrid strategy would increase profitability by about 288% compared to the existing practices in the UAE. Graphical abstract: Image 1 Highlights: A mathematical model was developed to optimize various waste management strategies. The model optimizes the allocation of waste streams to certain management facilities. The objectives included the energy recovery, profitability, and carbon footprint. The optimization framework can be applied to any city/country based on local data. The framework was tested on the waste management sector in the United Arab Emirates. … (more)
- Is Part Of:
- Journal of cleaner production. Volume 284(2021)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 284(2021)
- Issue Display:
- Volume 284, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 284
- Issue:
- 2021
- Issue Sort Value:
- 2021-0284-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02-15
- Subjects:
- Optimization -- Strategic planning -- Waste-to-Energy -- Energy recovery -- Financial feasibility -- Carbon footprint
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2020.124714 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24343.xml