Quantifying the Economic Effects of Biogas Installations for Organic Waste from Agro-Industrial Sector

Cucui, Gabriel; Ionescu, Constantin Aurelian; Goldbach, Ioana Raluca; Coman, Mihaela Denisa; Marin, Elena Liliana Moiceanu

doi:10.3390/su10072582

Cited by 24 publications

(13 citation statements)

References 25 publications

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“…In Romania, the SC concept is widely used, having being given more meanings, such as: (1) the variation and nonexistence of a uniform designation between SC and SCM [81]; and (2) the use of synonyms for SC (supply network, logistics network, supply-chain management, supply-chain provision) [82][83][84][85][86][87][88]. Supply-chain management involves challenges such as building trust, sharing information on market needs, developing new products and services, and meeting customer requirements as efficiently as possible [89,90].…”

Section: Big Data Analytics and Supply-chain Management In Romaniamentioning

confidence: 99%

The Impact of Big Data Analytics on Company Performance in Supply Chain Management

et al. 2019

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Big data analytics can add value and provide a new perspective by improving predictive analysis and modeling practices. This research is centered on supply-chain management and how big data analytics can help Romanian supply-chain companies assess their experience, strategies, and professional capabilities in successfully implementing big data analytics, as well as assessing the tools needed to achieve these goals, including the results of implementation and performance achievement based on them. The research method used in the quantitative study was a sampling survey, using a questionnaire as a data collection tool. It included closed questions, measured with nominal and ordinal scales. A total of 205 managers provided complete and useful answers for this research. The collected data were analyzed with the Statistical Package for the Social Sciences (SPSS) package using frequency tables, contingency tables, and main component analysis. The major contributions of this research highlight the fact that companies are concerned with identifying new statistical methods, tools, and approaches, such as cloud computing and security technologies, that need to be rigorously explored.

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Section: Big Data Analytics and Supply-chain Management In Romaniamentioning

confidence: 99%

The Impact of Big Data Analytics on Company Performance in Supply Chain Management

et al. 2019

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“…In response to the depletion of natural energy resources and an increase in CO 2 emissions resulting from the combustion of fossil fuels, research on biomass fuel production is carried out worldwide [14][15][16][17][18][19][20][21][22][23]. The resulting different quality biodiesel liquid fuels [24][25][26][27][28], as well as biogas [29,30] nevertheless constitute a significant source of energy [31][32][33][34][35], especially for small farms. In such situations, a dual fuel combustion engine powering a generator [36,37] alternative, significantly limiting a farm's demand for energy from external sources and increasing level of independence of the indicated energy sources.…”

Section: Introductionmentioning

confidence: 99%

Impact of Biogas and Waste Fats Methyl Esters on NO, NO2, CO, and PM Emission by Dual Fuel Diesel Engine

et al. 2019

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The aim of this study was to perform a comparative analysis of the unit gas emission value in the exhaust of a dual fuel diesel engine. The results of the effects of a diesel engine’s applications in biogas plants and the method for calculating mass gas emissions per unit of produced electricity are shown. The test was performed using a two-cylinder, naturally aspirated, liquid-cooled diesel engine. The diesel engine powered a generator connected to the grid. The engine was fed with liquid fuels—waste cooking oil methyl ester (UCOME) and diesel fuel (DF)—and with a gas fuel, biogas (BG). The engine ran at a constant rotational speed (2000 rpm ± 30 rpm) with variable load. The gas analyzer measured the amount of CO, NO, NO2, and PM (particulate matter) in exhaust gas. This gas content share was then converted to mass per engine generated energy unit. This experiment showed the effect of BG introduced to the intake manifold on fuel combustion, as well as an increase in CO and NO2 emission and decrease in NO and PM. In terms of dependence of exhaust emissions on the type of liquid fuel used, the use of UCOME as opposed to diesel fuel resulted in PM reduction and increase of NO emissions.

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“…This can be attributed to the fact the culture contains activated Hydrolytic, Acetogenic, Acidogenic, and Methanogenic bacteria in it, unlike HW where the bacteria activate naturally as the reaction proceeds over time. Both the mixtures outperform the CD culture, this can be reasoned particularly by the higher average C:N ratio present in HW as compared to CD, 30 and 19 on weight by weight basis respectively, and its higher methane production potential (Äüôú 2003;Cucui et al, 2018). A high C:N ratio of 25 to 30:1 is suitable for the effective digestibility of dairy manure and field crop residuals (Ghatak and Mahanta, 2014;Hills and Roberts, 1981).…”

Section: Comparison Of Biogas Production Using Three Different Culturesmentioning

confidence: 99%

Comparative Analysis of the Amount of Biogas Produced by Different Cultures using the Modified Gompertz Model and Logistic Model

Moharir¹,

Bondre²,

Vaidya³

et al. 2020

EUR J SUSTAIN DEV RE

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With the increase in population, the amount of food waste generated is increasing exponentially. Anaerobic digestion can serve the purpose of managing organic waste in an eco-friendly way. Microorganisms play a vital role in the process of anaerobic digestion. In this work, the effect of anaerobic digestion was analyzed using two organic cultures-Cow Dung and Horse waste which was in turn compared to an Industrial Culture with regards to the biogas produced over a cycle of 14 days. Between the two organic cultures, the volume of biogas produced by Horse waste was 35,366.03 cm 3 which compared to the biogas produced by cow dung was considerably large. The use of Horse waste as potential biomass has the capacity to produce biogas which can be utilized as a biofuel. The experimental data were evaluated using mathematical models like the Modified Gompertz Model, Logistic Model, and First Order Kinetics Model. Of the three models used, Modified Gompertz Model and Logistic Model gave a good fit for the experimental data with 0.98 and 0.97 respectively as the Coefficient of Determination (R 2). While the First Order Kinetics Model underperformed with an R 2 value of 0.68. The Modified Gompertz gave accurate results which thus validated the experimental data.

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Quantifying the Economic Effects of Biogas Installations for Organic Waste from Agro-Industrial Sector

Cited by 24 publications

References 25 publications

The Impact of Big Data Analytics on Company Performance in Supply Chain Management

The Impact of Big Data Analytics on Company Performance in Supply Chain Management

Impact of Biogas and Waste Fats Methyl Esters on NO, NO2, CO, and PM Emission by Dual Fuel Diesel Engine

Comparative Analysis of the Amount of Biogas Produced by Different Cultures using the Modified Gompertz Model and Logistic Model

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