INTEGRATION OF ANAEROBIC DIGESTION AND GASIFICATION FOR ELECTRICITY GENERATION AND BIO-METHANE SYNTHESIS FROM SOLID WASTE

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dc.contributor.advisorSuhyun Kim-
dc.contributor.authorDZAWO VICTORIA-
dc.date.accessioned2022-11-29T02:32:30Z-
dc.date.available2022-11-29T02:32:30Z-
dc.date.issued2021-02-
dc.identifier.other30425-
dc.identifier.urihttps://dspace.ajou.ac.kr/handle/2018.oak/20040-
dc.description학위논문(석사)--Graduate School of International Studies Ajou University :융합에너지학과,2021. 2-
dc.description.tableofcontentsChapter 1 Introduction 1 1.1 Introduction 1 1.2 Background Information on Zimbabwe's Waste And Energy Sector 3 1.3 Research Questions 4 1.4 Rationale of Study 5 1.5 Aims and Objectives 6 1.6 Methodology 7 1.7 Method of Data collection 7 Chapter 2 Literature Review 8 2.1 Anaerobic Digestion Basic Features 8 2.1.1 Anaerobic Digestion Process Types and Steps 8 2.1.2 Anaerobic Digestion Operating Conditions and Limitations 9 2.2 Gasification Basic Features 11 2.2.1 Gasification of Waste in General 11 2.2.2 Gasification Process Steps 12 2.2.3 Operating Conditions and Performance Parameters 13 2.3 Literature Findings 13 2.3.1 Economic Assessment 15 2.4 Novelty of study 16 Chapter 3 Methodology 17 3.1 MSW Characterization and Estimation 17 3.1.1 Municipal Solid Waste Generation 17 3.1.2 Municipal Solid Waste Characterization 18 3.1.3 Estimation of Sewage Sludge 19 3.1.4 Anaerobic Digestion 21 3.1.5 Biogas Calculator Model Structure 21 3.1.6 Estimation of Digester Volume, Feedstock, Electricity Consumption and Electricity Production 23 3.1.7 Calculator Block Validation 25 3.1.8 ASPEN Plus Model Sequence 26 3.2 Gasification : Pretreatment of Feedstock and Kinetic Parameters 26 3.2.1 Gasification Process Simulation 28 3.3 Sensitivity Analysis 29 3.4 Economic analysis 29 3.4.1 Economic Analysis Methodology 30 3.5 Environmental Impacts: Avoided Carbon Emissions 35 Chapter 4 Results and Discussion 36 4.1 Biogas Calculator and Simulation Model 36 4.1.1 Sensitivity Analysis of AD 37 4.2 Gasification 42 4.3 Economic and Cost-Benefit Analysis 43 4.3.1 Test for Project Feasibility (NPV) 43 4.3.2 Cost-Benefit Analysis 43 4.3.3 Levelized Cost of Energy 44 4.4 Environmental Benefits 47 Chapter 5 Conclusion and Limitations of Study 49 5.1 Summary of Results 49 5.2 Conclusion 50 5.3 Recommendations 51 5.4 Limitations of Study 51 References 52-
dc.language.isoeng-
dc.publisherGraduate School of International Studies Ajou University-
dc.rights아주대학교 논문은 저작권에 의해 보호받습니다.-
dc.titleINTEGRATION OF ANAEROBIC DIGESTION AND GASIFICATION FOR ELECTRICITY GENERATION AND BIO-METHANE SYNTHESIS FROM SOLID WASTE-
dc.typeThesis-
dc.contributor.affiliation아주대학교 국제대학원-
dc.contributor.department국제대학원 융합에너지학과-
dc.date.awarded2021. 2-
dc.description.degreeMaster-
dc.identifier.localId1203205-
dc.identifier.uciI804:41038-000000030425-
dc.identifier.urlhttp://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000030425-
dc.subject.keywordAnaerobic digestion-
dc.subject.keywordgasification-
dc.subject.keywordwaste to energy-
dc.description.alternativeAbstractZimbabwe being a developing country faced with limited energy access and waste management challenges yet having large deposits of open dumped waste had to use MSW as a sustainable alternative source of energy to meet the country’s high energy demand as well as to meet its NDC obligations. Thus this study analyzed the techno-economic evaluation of the integration of AD and gasification using MSW to analyze its feasibility as a means of energy recovery as well as a way to reduce emissions from waste dumping and incineration. In converting WTE the study was aimed at producing biomethane and 10 MWe and 500kWe from AD and gasification respectively. The NPV and LCOE were used as economic indicators to measure the feasibility of the scenarios as well as to determine the most feasible process for implementation in Zimbabwe thus the Monte Carlo Simulation was used to ascertain the sensitivity of the LCOE to cost parameters using the triangular distributions. ASPEN Plus was also used to simulate the AD process as well as a calculator block spreadsheet whereas the Cold Gas Efficiency and Carbon Conversion Efficiency were used to measure the gasification process efficiency. The results showed that the integration of AD and gasification for electricity generation was not economically feasible whereas that for biomethane production was, having a potential saving of about US$33.5 million through LPG import substitution and at least 0.2% mitigation of GHG emissions annually through WTE conversion.-
dc.title.subtitleA TECHNO-ECONOMIC ANALYSIS ON ZIMBABWE.-
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Special Graduate Schools > Graduate School of International Studies > Department of Energy Studies > 3. Theses(Master)
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