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Smart Grid Computational Tool (SGCT ) For best results view this presentation in Slide Show mode. What is the DOE Smart Grid Computational Tool (SGCT)? What does it do?. - PowerPoint PPT PresentationTRANSCRIPT
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Smart Grid Computational Tool (SGCT)
For best results view this presentation in Slide Show mode.
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What is the DOE Smart Grid Computational Tool (SGCT)? What does it do?
The SGCT is an analysis tool that identifies the benefits of a SG project and guides the user through an analysis which quantifies those benefits.
The SGCT characterizes smart grid (SG) projects by identifying the what technology will be installed and what functionality that technology will enable.
Based on the characterization of a project it identifies the economic, reliability, environmental and security benefits the SG project will yield.
The SGCT uses user entered data to calculate the monetary value of benefits and prepares graphs and tables that compare the costs and benefits to help determine the project’s overall value.
The SGCT can also perform a sensitivity analysis.
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The SGCT can calculate the value of the following benefits*:
Benefit Category Benefit Sub-category Benefit
Economic
Improved Asset Utilization
Optimized Generator Operation (utility/ratepayer)Deferred Generation Capacity Investments (utility/ratepayer)Reduced Ancillary Service Cost (utility/ratepayer)Reduced Congestion Cost (utility/ratepayer)
T&D Capital SavingsDeferred Transmission Capacity Investments (utility/ratepayer)Deferred Distribution Capacity Investments (utility/ratepayer)Reduced Equipment Failures (utility/ratepayer)
T&D O&M SavingsReduced Distribution Equipment Maintenance Cost (utility/ratepayer)Reduced Distribution Operations Cost (utility/ratepayer)Reduced Meter Reading Cost (utility/ratepayer)
Theft Reduction Reduced Electricity Theft (utility/ratepayer)Energy Efficiency Reduced Electricity Losses (utility/ratepayer)Electricity Cost Savings Reduced Electricity Cost (consumer)
ReliabilityPower Interruptions
Reduced Sustained Outages (consumer)Reduced Major Outages (consumer)Reduced Restoration Cost (utility/ratepayer)
Power Quality Reduced Momentary Outages (consumer)Reduced Sags and Swells (consumer)
Environmental Air EmissionsReduced Carbon Dioxide Emissions (society)Reduced SOX, NOX, and PM-10 Emissions (society)
Security Energy Security Reduced Oil Usage (society)Reduced Wide-scale Blackouts (society)
*Methodological Approach for Estimating the Benefits and Costs of Smart Grid Demonstration Projects, EPRI, January 2010.
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How can the SGCT be used?
The tool was designed to be used by a number of different groups for a number of different purposed. For utilities:
The SGCT can be used after SG technology is implemented to: Better understand the benefits of a SG project or technology Compare costs and benefits of a SG project Compare the benefits of a SG project given different scenarios Inform future investment with the results of the analysis
The SGCT can be used prior to implementing a SG project to: Help prepare a business case for the project Identify the potential benefits of the project and estimate their
magnitude Help plan a data collection strategy that will allow benefits of the
project to be quantified IMPORTANT: This type of analysis requires the user to make
assumptions about how the project will impact the system.
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HOW DOES THE TOOL WORK?
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Illustration of the inputs and outputs of the SGCT
US DOE SGCT
Inputs Outputs
Data that corresponds to Impact Metrics
Data derived from estimates and assumptions
Examples
AMI/Smart Meters, Automated Feeder and Line Switching
Annual Generation Costs, Number of
Tamper Detections
Cost Parameters and Escalation Factors
Discount Rate, Total Capital Cost, Inflation
Rate, Population Growth
Value of Service, Price of Capacity at Peak, Value of CO2
Sensitivity Factors High and Low case Value of CO2
Monetary Value of up to
22 Benefits
NPV Analysis of Project
Sensitivity Analysis of
Project
All Output is calculated
over multiple years (beyond initial 5 years of data entry)
The SGCT identifies, organizes, and processes the inputs required to analyze the costs and benefits a SG project.
Smart Grid Project Assets, Functions, and Mechanisms
Click each of the chevrons to
“dig deeper”
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What equations are required to translate data into monetary value?
The Theory Behind the Tool: How do you analyze the monetary benefit of a smart grid project?
Functions Mechanisms Benefits
What does the Smart Grid do?
How does itdo that?
What “goodness” results?
Monetary Value
What is the goodness worth?
Assets
What are Smart Grid technologies?
Metrics Calculations Forecast
What data should be tracked to capture benefits?
How can benefits be projected beyond the first 5 years?
Module 1 of the SGCT
Module 2 of the SGCT
Module 3 of the SGCT
The analysis that the tool guides a user through is based on the questions above.
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The output from one module becomes the input for the next module.
Characterization Module
Data Input Module Computational
Module
Purpose Determine the list of project benefits.
Filter irrelevant metrics. Guide and assist data entry.
Calculation engine. Present results.
Inputs Assets, Functions, Mechanisms
List of Benefits Calculation Dataset, Sensitivity Ranges
Outputs List of Benefits Calculation Dataset
Tabular and Graphic Presentation of Monetized Benefits.
Key Methodologies
Asset-to-Functions and Function-to-Benefits Relational Models
Benefit-to-Inputs Relational Model
Smart Grid Benefits Calculations
DOE SGCT Modules1 2 3
Click each of the chevrons to
“dig deeper”
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The Characterization Module helps the user navigate the Asset-Function-Mechanism-Benefit Map.
USER INPUT
USER INPUT
USER INPUT
IPSM OUTPUT
BACK Screenshots
Enables Functions
A, C, and D
Enables Mechanisms B, C, and D
Results in Benefit #4
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Calculation Dataset
Data Quality Filter
The Data Input Module prompts users to enter data only for relevant metrics and checks data entry.
BACK Screenshots
Relevant Metrics for SG Project
Complete Metric
BankFilters based on the
project Benefits determined in the previous module
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The Computational Module performs various analyses, carries out calculations and produces outputs.
Calculation Dataset from previous module
High and Low Sensitivity Ranges for Inputs
22 Benefit Calculations
NPV Analysis
Sensitivity Analysis
INPUTS Calculation Engine OUTPUTS
BACK Screenshots
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The SGCT User Guide includes explanations of the methodologies and step-by-step instructions.
The first half of the User Guide is dedicated to: Providing context for the tool and explaining its purpose. Explaining the general methodology for assessing the benefits of
a smart grid project. Explaining the Asset-Function-Benefit Mapping and defining each
Asset, Function and Benefit. The second half of the User Guide is dedicated to:
Explaining the general Architecture of the SGCT Providing a step-by-step instruction manual for using the SGCT.
The Appendix of the User Guide documents and explains: The detailed cost and benefit calculations used in the tool Key concepts and assumptions (ex. baseline, inputs, escalation
techniques, s-curve model).
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IPSM Screenshots
BACK
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PDIM Screenshots
BACK
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MCT Screenshots
BACK
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Assets, Functions, and Mechanisms define what the SG project is and what it does.
Smart Grid Project Assets, Functions, and Mechanisms
Assets – These inputs describe the SG technologies or technology groups being implemented by the project.
Functions – These inputs describe what the SG does. Mechanisms – These inputs are linked to specific Functions
and describe in greater detail how the SG exercises each function.
BACK
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Data that corresponds to Impact Metrics
Impact metrics capture the effects SG has on the electric grid or its management and operation.
Impact metrics quantitatively capture the impacts of the SG on the electricity grid or its management and operation.
This data must be directly measured or tracked after the SG project is implemented.
These metrics are used to calculate benefits.
BACK
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Data or information that can be estimated or assumed are used in benefit calculations.
In addition to using data that must be directly measured or tracked, the tool uses data that can be estimated or assumed.
Examples of this type of data include: price of generation capacity at peak, the value of service to a customer during an outage, and the value of CO2.
This data is used to calculate benefits.
Data derived from estimates and assumptions
BACK
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Parameters that describe the cost of the project and factors that allow results to be extrapolated
Cost parameters describe the overall cost of the project and include items such as discount rate, interest rate, amortization period, and capital cost.
Escalation factors allow inputs to be extrapolated beyond the first 5 years of data entry so that results can be extrapolated.
Examples of escalation factors include population growth rate, inflation rate, and electricity demand rate.
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Cost Parameters and Escalation Factors
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Sensitivity Factors are used in the sensitivity analysis.
Sensitivity factors multiply the data inputs by a certain percentage
A high and low sensitivity factor can be set for every input in the analysis
Using these sensitivity factors high and low scenarios can be created and the results of these scenarios can be compared
Sensitivity Factors
BACK