Review on Waste-to-Energy Approaches toward a Circular Economy in Developed and Developing Countries

Rezania, Shahabaldin; Oryani, Bahareh; Nasrollahi, Vahid Reza; Darajeh, Negisa; Lotfi Ghahroud, Majid; Mehranzamir, Kamyar

doi:10.3390/pr11092566

Cited by 30 publications

(4 citation statements)

References 117 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The daily analytical output of 10,961 MW of power to grid potential from the MSW components of Aba metropolis is consistent with the findings of (Cheremisinoff, 2013;Advancing Sustainable Materials Management, 2017), which, when harnessed, will boost the electricity consumption in Nigeria from 156 kWh, which is the least when compared to countries like Venezuela, Ghana, and Ivory Coast with 3,413 kWh, 309 kWh and 174 kWh, respectively (Somorin et al, 2017). The current linear MSWM system of take make and dispose of at dumpsite will transition to waste to energy conversion through MSW utilization, a circular economy model (Kothari et al, 2010;Rezania et al, 2023).…”

Section: )supporting

confidence: 66%

Transitioning towards circular economy through municipal solid waste analysis and characterisation using SowaCLINK software

Onungwe,

Hunt,

Jefferson

2024

Front. Sustain.

View full text Add to dashboard Cite

Municipal solid waste constitutes environmental challenges globally, especially in developing countries, due to increasing waste generation, population growth, inadequate infrastructure, lack of data and poor planning. This study aims to conduct a comprehensive waste audit on the municipal solid waste generated in Aba, a metropolis in southeastern Nigeria. Aba is a commercial city considered the messiest because of the massive municipal solid waste generation and poor management. The study investigated the energy potential and waste regeneration. Municipal solid waste data was sought to provide insight into the quantity and composition of municipal solid waste. The methodology was site-based, in line with the standard test method for determining unprocessed municipal solid waste (ASTM-D5231-92) and SowaCLINK software, a computer-based environmental application, was used for characterization. Linear extrapolation was adopted to quantify the rate of municipal solid waste generated. The geometric mean was applied to forecast the area’s population for a 10-year design period. The chemical elements of the characterized municipal solid waste were utilized based on the ASTM-D5291 standard for municipal solid waste thermochemical conversion, and the high and low heating values were analyzed. The outcomes provided energy recovery potential, the electrical power potential, and the power to the grid of electrical power of the municipal solid waste. The results obtained were 0.7813 kg/p/d and 490,268 t/y for a population of 1,719,185 persons. The percentage of the municipal solid waste components with energy potential was 71%, comprising 48% combustible and 23% organic components on average. The high heating value computed was 176.5 MJ/kg, and the low heating value was 14 MJ/kg. The energy recovery potential was 3,709,463 MWh, the electrical power potential was 38,680 MW, and the power to the grid was 26.1 MW daily. The research reveals a promising direction in transitioning from the linear economy of municipal solid waste management toward implementing an integrated sustainable municipal solid waste management based on the circular economy model. The study recommends adopting detailed steps to proffer solutions to the environmental challenges associated with municipal solid waste in most low-middle-income countries to achieve sustainable municipal solid waste management while generating electricity and bio-fertilizers through incineration and anaerobic digestion.

show abstract

Section: )supporting

confidence: 66%

Transitioning towards circular economy through municipal solid waste analysis and characterisation using SowaCLINK software

Onungwe,

Hunt,

Jefferson

2024

Front. Sustain.

View full text Add to dashboard Cite

show abstract

“…However, WtE plants are expected to continue to play an important role as heat suppliers, such as in industrial steam networks, while also maximizing the additional value that may be derived from the material recuperation of unrecyclable waste streams (Makarichi et al, 2018;Ronda et al, 2023). The different routes of WtE in the case of MSW are depicted in Figure 13 (Rezania et al, 2023).…”

Section: Application Of ML In Waste-to-energy Pathmentioning

confidence: 99%

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms

Le,

Paramasivam,

Adril

et al. 2024

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

This review article examines the revolutionary possibilities of machine learning (ML) and intelligent algorithms for enabling renewable energy, with an emphasis on the energy domains of solar, wind, biofuel, and biomass. Critical problems such as data variability, system inefficiencies, and predictive maintenance are addressed by the integration of ML in renewable energy systems. Machine learning improves solar irradiance prediction accuracy and maximizes photovoltaic system performance in the solar energy sector. ML algorithms help to generate electricity more reliably by enhancing wind speed forecasts and wind turbine efficiency. ML improves the efficiency of biofuel production by optimizing feedstock selection, process parameters, and yield forecasts. Similarly, ML models in biomass energy provide effective thermal conversion procedures and real-time process management, guaranteeing increased energy production and operational stability. Even with the enormous advantages, problems such as data quality, interpretability of the models, computing requirements, and integration with current systems still remain. Resolving these issues calls for interdisciplinary cooperation, developments in computer technology, and encouraging legislative frameworks. This study emphasizes the vital role of ML in promoting sustainable and efficient renewable energy systems by giving a thorough review of present ML applications in renewable energy, highlighting continuing problems, and outlining future prospects

show abstract

“…Figure 1(c) resulted in the highest combustion temperature, reaching 1800 °C to 1650 °C at the flue gas outlet chamber. The presence of both primary and secondary air inlets is crucial for converting MSW into heat energy for electricity generation [14,15]. The dual air inlets encourage better mixing of MSW with oxygen during the combustion process [16,17].…”

Section: Static Temperature and Turbulence Intensitymentioning

confidence: 99%

Sustainable Energy from Waste: A Feasibility Study in Miri, Malaysia

Chua,

Hashim,

Downmore

et al. 2023

Ind. Domest. Waste Manag.

View full text Add to dashboard Cite

The growth of urban populations, industrialization, and economic development has led to a surge in solid waste production. When local recycling infrastructure falls short, much of this waste ends up in landfills, causing environmental and social challenges. This study aims to assess the feasibility of converting municipal solid waste (MSW) into energy, with a focus on combustion chamber modeling in Miri, Sarawak. Data on MSW composition are obtained from secondary sources. Ansys Fluent software is used to model the combustion chamber, and simulations are conducted to explore temperature, turbulence, and species distribution. MSW composition illustrates higher substantial fractions, with 39.8% being food waste, followed by 20.7% plastic/rubber. Calorific values range from 4652 kJ/kg for food waste to 32564 kJ/kg for plastic/rubber. Combustion simulations result in maximum flue gas temperatures of 1500 °C, 1200 °C, and 1800 °C under varying air inlet conditions. Turbulence intensities on the grate range from 125% to 174% for these air inlet configurations. The study concludes that moisture content significantly affects calorific value and heat generation during combustion. Higher turbulence intensities lead to increased reaction rates and heat generation, improving the energy efficiency of the process.

show abstract

Review on Waste-to-Energy Approaches toward a Circular Economy in Developed and Developing Countries

Cited by 30 publications

References 117 publications

Transitioning towards circular economy through municipal solid waste analysis and characterisation using SowaCLINK software

Transitioning towards circular economy through municipal solid waste analysis and characterisation using SowaCLINK software

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms

Sustainable Energy from Waste: A Feasibility Study in Miri, Malaysia

Contact Info

Product

Resources

About