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Ppt Optimasi Desalinasi
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Transcript of Ppt Optimasi Desalinasi
MODELLING SEAWATER DESALINATION MODELLING SEAWATER DESALINATION POWERED BY WASTE INCINERATION POWERED BY WASTE INCINERATION
USING DYNAMICS SYSTEMS APPROACHUSING DYNAMICS SYSTEMS APPROACH
Nassa ArfiantinosaNassa Arfiantinosa
3310 201 2023310 201 202
Supply and Demand Model for Seawater Desalination Powered Supply and Demand Model for Seawater Desalination Powered by Incineration of Municipal Solid Waste to Complement The by Incineration of Municipal Solid Waste to Complement The
Freshwater Supply in Drought Affected AreaFreshwater Supply in Drought Affected Area
PrefacePreface
Gold Coast (Eastern city of Australia) is :Gold Coast (Eastern city of Australia) is :
The driest continent of the earthThe driest continent of the earth
The Hinze Dam fell below 30% (2003)The Hinze Dam fell below 30% (2003)
Recovery by rainfall past two yearsRecovery by rainfall past two years
Fastest growing cities in Australia Fastest growing cities in Australia
Gold CoastGold Coast
Hinze DamHinze Dam
INTRODUCTIONINTRODUCTION
Seawater desalination for freshwater Seawater desalination for freshwater production is successfully practiced in Japan, production is successfully practiced in Japan, USA, Middle EasternUSA, Middle Eastern
Increasing water shortage crisisIncreasing water shortage crisis
Sustainable waste incineration successfully Sustainable waste incineration successfully practiced in Europe and Asiapracticed in Europe and Asia
Waste is being incinerated to produce energyWaste is being incinerated to produce energy
Energy for Seawater Desalination
Alleviate the Water ShortageReduce Amount Waste
Incinerate WasteAnd Combination with Wind Energy Energy
Supply/Demand
Water Supply/Demand
The Supply and Demand Cycles of The Supply and Demand Cycles of Water and EnergyWater and Energy
Population
Dynamic Model
Dynamic System ModelsDynamic System Models
Dynamic sistem models are time Dynamic sistem models are time dependent systems that use state dependent systems that use state variables to predict how the system variables to predict how the system behaves under different conditions or behaves under different conditions or policy decisions.policy decisions.
Modelmarker, STELLA, Matlab/SimulinkModelmarker, STELLA, Matlab/Simulink
Artificial Neural Networks/ANNArtificial Neural Networks/ANN
About ANNAbout ANN
Is a technique to obtain a model that Is a technique to obtain a model that analyzes and classifies the information by analyzes and classifies the information by learning from a set of examples.learning from a set of examples.
Suitable tools for establishing the Suitable tools for establishing the mathematical model between 2 entities mathematical model between 2 entities when it is difficult or not possible to derive when it is difficult or not possible to derive a cause effect model, despite of an a cause effect model, despite of an apparent link of 2 entititiesapparent link of 2 entitities
The Supply and Demand Cycles of Water and Energy
Comprehensive Model in Matlab/Simulink
Combining with ANN
Dam Storage And Water Demand Dynamics
Freshwater Demand and Supply Dinamic
by Incorporating Population Growth
Fresh Water Supply Complemented
by Desalinated Water, which in turn is produced
using energy from incinerating waste
generated by the inhabitants of the city
Comprehensive Model
Water Dynamics
Energy Dynamics
Comprehensive ModelComprehensive Model
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3
4 5
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Simulink ModelSimulink Model
Water DynamicsWater Dynamics
Determine dam storage levelDetermine dam storage level
O = O = v x (tan sig((w + I) + B)) + bv x (tan sig((w + I) + B)) + bDSL(DSL(TT) = DSL() = DSL(TT -1) + -1) + ΔΔDSL(DSL(TT) – WC() – WC(TT))
Determine desalinationDetermine desalination
Desalination is function of waste energyDesalination is function of waste energyUsing ROUsing RO5,18 kWh/m35,18 kWh/m3
Energy DynamicsEnergy Dynamics
To calculate an amount of daily energy yield from To calculate an amount of daily energy yield from incinerating waste of the city and consequently to incinerating waste of the city and consequently to examine daily amount of waste incineration energyexamine daily amount of waste incineration energy
Amount of waste : 3,01 kg/person/day (GCCC)Amount of waste : 3,01 kg/person/day (GCCC)Heating value : 9142,02 kJ/kg (Qudais and Qdais)Heating value : 9142,02 kJ/kg (Qudais and Qdais)Thermal energy to generate electricity : 16.857 kJ Thermal energy to generate electricity : 16.857 kJ
(Morris dkk)(Morris dkk)Alternative energy :600 kW wind turbines (AWEA)Alternative energy :600 kW wind turbines (AWEA)
Population DynamicsPopulation Dynamics
Data population of 20 yearsData population of 20 years
Water demand simulation using ANNWater demand simulation using ANN
Population DynamicsPopulation Dynamics
Distribution of Simulated Water Distribution of Simulated Water Demand Fulfilled by Different SourcesDemand Fulfilled by Different Sources
Example Required Alternative EnergyExample Required Alternative Energy
ArigatoSukron
MaturnuwunHaturnuhun
MatursakalangkongThank you
DunkywellKamsya