An approach for enhancing optimal resource recovery from different classes of waste in South Africa: Selection of appropriate waste to energy technology

Adenuga, Olukorede Tijani; Mpofu, Khumbulani; Modise, Kgaugelo Ragosebo

doi:10.1016/j.sftr.2020.100033

Cited by 29 publications

(8 citation statements)

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“…The designed microgrid system uses monocrystalline PV modules is simulated with the substation in Matlab/Simulink, including interconnected solar PV cell, and energy storage rated at 100 295 kWp (kilowatts-peak). 50-kW fuel cell stack, and battery and super capacitor storage at 500 V dc voltage to provide backup for the system in an emergency [13]. The microgrid has sets of battery storage unit with individual lithium cells connected in series, with rated capacity of 21.7 kWh.…”

Section: Microgrid Design Configurationmentioning

confidence: 99%

“…Energy efficiency for manufacturing plays a critical role in the economic growth, cost advantage against global competitors and provide a competitive advantage on a national scale. Additionally, interconnection of renewable energy sources into the distribution substation grid networks is constrained by the limitation of the network's capacity and power flow behaviour [4,5]. Microgrid captive energy supply and demand balances help to coordinate stable service within defined grid resources boundaries [6].…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficiency for Manufacturing Using PV, FSC, and Battery-Super Capacitor Design to Enhance Sustainable Clean Energy Load Demand

Adenuga

Mpofu

Mathenjwa

2022

Lecture Notes in Mechanical Engineering

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Energy efficiency (EE) are recognized globally as a critical solution towards reduction of energy consumption, while the management of global carbon dioxide emission complement climate change. EE initiatives drive is a key factor towards climate change mitigation with variable renewable technologies. The paper aimed to design and simulate photovoltaic (PV), fuel cell stack (FCS) systems, and battery-super capacitor energy storage to enhance sustainable clean energy load demand and provide significant decarbonization potentials. An integration of high volume of data in real-time was obtained and energy mix fraction towards low carbon emission mitigation pathway strategy for grid linked renewables electricity generation was proposed as a solution for the future transport manufacturing energy supplement in South Africa. The interrelationship between energy efficiency and energy intensity variables are envisaged to result in approximately 87.6% of global electricity grid production; electricity energy demand under analysis can reduce the CO2 emissions by 0.098 metric tons and CO2 savings by 99.587 per metric tons. The scope serves as a fundamental guideline for future studies in the future transport manufacturing with provision of clean energy and sufficient capacity to supply the demand for customers within the manufacturing.

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Section: Microgrid Design Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy Efficiency for Manufacturing Using PV, FSC, and Battery-Super Capacitor Design to Enhance Sustainable Clean Energy Load Demand

Adenuga

Mpofu

Mathenjwa

2022

Lecture Notes in Mechanical Engineering

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“…Bu m ktar her yıl yeneb lecek olan 4.5 m lyon ton gıdanın sraf ed ld ğ anlamına gelmekted r (IFCO, 2020). B r taraftan yoksulluk ve açlıkla mücadele eden Güney Afr ka, d ğer taraftan yılda ortalama 7.7 m lyar ton gıda kaybı ve srafına sah pt r (Adenuga et al, 2020).…”

Section: Dünyada Gıda Kaybı Ve Srafıunclassified

“…Gıda srafının çok boyutlu ve karmaşık yapısı araştırmacıların d kkat n çekmekte ve bu sayede bugüne kadar gıda srafı le lg l farklı alanlarda yapılmış pek çok çalışma bulunmaktadır. Bu araştırmaların bazıları gerçekleşen gıda kaybı ve srafının boyutlarını ele almaktayken (Buzby and Hyman, 2012;Gustafsson et al, 2013;L p nsk et al, 2013;Bagherzadeh et al, 2014;Ab ad and Meho, 2018; Türk ye İsrafı Önleme Vakfı(TİSVA), 2019; Tek ner ve ark., 2021); bazıları se gıda kaybı ve srafının nedenler n hane ç düzeyde ncelemekte ve bu kapsamda çeş tl pol t ka öner ler nde bulunmaktadır (Cecere et al, 2014;Graham-Rowe et al, 2014;Q and Roe, 2016;Mattar, Ab ad et al, 2018;Schanes et al, 2018;Adenuga et al, 2020;Dem r, 2020;L egeard and Mann ng, 2020). Ancak, gıda srafının üret mden tüket me farklı boyutlarda gerçekleşmes sosyoekonom k değ şkenler le b rl kte ncelenmes n n önem n arttırmaktadır.…”

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Determinants of Food Waste: An Evaluation in Terms of Socioeconomic Variables

DİLEKOĞLU

Ateş

2022

Tarım Ekonomisi Dergisi

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Increasing population around the world also increases consumption; so much more is bought than is needed. Food loss and waste are one of the important results of this process. According to the data from the FAO, an average of one-third of the food produced each year is wasted. Food waste is a multidimensional phenomenon. The fact that the multidimensionality of food loss and waste has not been encountered in previous studies constitutes the main motivation of the study. In this context, the relationship between food waste and socioeconomic variables such as population, gross domestic product (GDP), electricity consumption, poverty, human development index (HDI), education, and employment are discussed; The possible causes and effects of food loss and waste are emphasized and current policies implemented to reduce this waste are mentioned. Correlation analysis is performed with the R package program and the relationship between the mentioned socioeconomic variables and food waste is examined using various visualizations. According to the analysis, food waste has a positive correlation with population, GDP, electricity consumption, and poverty; It was found to have a negative correlation with HDI and education. Considering the correlation between food waste and the mentioned variables, it has been concluded that although there are many reasons for food waste, the majority of it is actually caused by excessive and unconscious consumption. Various policy proposals, such as raising awareness of consumption at the household level and creating training for this purpose, are included in the conclusions and recommendations section.

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“…These include impending dangers to the environment, organizational responsibilities towards these dangers, reviewing of the interaction between the organization and the environment and the utilization of the natural resources (coal), assessment of dangers to the environment, and reporting of environmental costs. Adenuga et al (2020) presented these issues to include terrestrial habitats disturbance, water quality, air quality, emission of greenhouse gases (GHGs), and other pollutants impacts on the local community. This review suggested accounting theory as mitigation measures to address the potentially significant impacts on coal for electricity generation on the environment in addition to the entity's needs to respond to external expectations.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental costs estimation and mathematical model of marginal social cost: A case study of coal power plants

Oyewo

Olarewaju

Cloete

et al. 2021

Environmental Economics

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An increase in electricity production is proportional to environmental risks due to continuous energy production. The paper aims to quantitatively estimate the environmental costs and mathematically model the marginal social cost associated with the lifespan of the coal power plants. Results revealed South Africa Tier 1 company optimum level of electricity production per annum at around 2.15 gigawatts, considering the emission costs and reasonable profit. 85% of the total emissions during the combustion phase average cost of the C02 emission discharged by coal is calculated as 0.23c/KWh, 0.085c/kWh is calculated for NO2, while SO2 is 0.035c/KWh. Total emission cost represents 69.2% of the total cost of producing 1 MGW of electricity. The results confirmed the company losses to be insignificantly considerable to the evaluated environmental costs and capital investment. However, the use of this newly developed mathematical model depends on the source of energy production to confirm the feasibility and profitability of investment in coal-powered stations using environmental management accounting and marginal social cost approaches. AcknowledgmentThe authors would like to acknowledge the National Research Foundation and Durban University of Technology for financial support.

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An approach for enhancing optimal resource recovery from different classes of waste in South Africa: Selection of appropriate waste to energy technology

Cited by 29 publications

References 29 publications

Energy Efficiency for Manufacturing Using PV, FSC, and Battery-Super Capacitor Design to Enhance Sustainable Clean Energy Load Demand

Energy Efficiency for Manufacturing Using PV, FSC, and Battery-Super Capacitor Design to Enhance Sustainable Clean Energy Load Demand

Determinants of Food Waste: An Evaluation in Terms of Socioeconomic Variables

Environmental costs estimation and mathematical model of marginal social cost: A case study of coal power plants

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