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Modeling and Simulation for Power Systems Salvador Cordero, MSSE Regional Cyber and Energy Security Center [email protected] 915-747-5206 18 October 2012 Re-Energize the Americas Conference

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Page 1: Cordero 6 a

Modeling and Simulation for Power Systems

Salvador Cordero, MSSE

Regional Cyber and Energy Security Center

[email protected]

915-747-5206

18 October 2012

Re-Energize the Americas Conference

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2Copyright @ The University of Texas at El Paso. Proprietary Information

Topics

• Why Modeling & Simulation?

• Modeling & Simulation Tasks

• Modeling Tool Parameters

• Case Study

• Solar PV System

• Microgrid System

• Summary

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3Copyright @ The University of Texas at El Paso. Proprietary Information

Why Modeling & Simulation?

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4Copyright @ The University of Texas at El Paso. Proprietary Information

Modeling & Simulation Tasks

• Task 1: Modeling and Prediction of Baseline Energy Consumption.

– Discover and quantify the energy consumption so that power system models can

be developed for renewable energy sources, integration to current infrastructure,

and deployment.

– Discover the “As-Is” Energy System

– Validate the models using measurement data

• Task 2: Analysis for Co-generation and Renewable Energy

Penetration

– Evaluate performance model for the co-generation and renewable energy

integration.

– Combine the models for energy consumption and cost, and add cost benefit

analysis model. The combined model allows the effects of renewable energy and

co-generation installments to be studied from a performance and cost viewpoint

– Develop a common template for evaluating different technologies.

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Modeling Tool Parameters

Inputs

Loads,

Components, Grid

Tie

Utility Rate

Structure

Economics, System

Control, Emissions,

Controls

Component

Parameters

Costs

HOMER

Performance

Model

Financial Model

Sensitivity Analysis

Results

Financial Metrics:

LCOE, IRR, NPV,

Payback, etc.

Performance

Metrics:

Capacity Factor,

Annual Output

Other:

Energy flows, Cash

flows, Graphs

*National Renewable

Energy Laboratory (NREL)

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Case Study: Model Inputs

Main Campus and Physical Plants• Project Lifetime

• 30 Years

• Annual Interest Rate

• 2 %

• Natural Gas Cost

• $5.00/Mcf based on Facilities’ billing

adjustment credits with supplier

• Combined Rate Schedule• Current electric rate for Physical Plants

• Current rate was considered for Main Campus

• Blended flat rate for both loads (includes fuel adjustment)

1. Current is at 6.5¢/kWh

2. 15% increase at 7.4¢/kWh

3. 30% increase at 8.5¢/kWh

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Case Study: Load Profiles

*Electric Utility 30 minute meter readings Main Campus

Physical Plants

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Case Study: Load Profiles

Thermal Load

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Case Study: Baseline Model Results

Main Campus & Physical Plants

• Annual Electric Consumption of 62,619,500 kWh/yr

• Annual Gas Consumption of 52,333,392 kWh/yr = 176,546 MMBtu

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10Copyright @ The University of Texas at El Paso. Proprietary Information

Case Study: Solar PV System

• One load: Main Campus

• Flat rate structure

• Sensitivity Analysis on cost of Electricity (Current, 15%, 30% Increases)

• Grid Tie Connection

• Two Scenarios:

1. Baseline with 3.3 MW Solar PV

2. Baseline with 5.5 MW Solar PV

• Solar PV System Specifications:

3.38 MW 5.5 MW

Micro-Inverter(95.5% efficiency)

10 Degree Tilt

85% De-rating Factor

30 yr. Lifetime

Capital Cost-$12,864,280$ 3.80 per watt ( Panels & Inverters)

Capital Cost-$20,900,000$ 3.80 per watt ( Panels & Inverters)

*SUNPOWER T10 Solar Roof Tile

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Case Study: Solar PV System

7,250KW

2,130KW

7,250KW

3,825KW

3.38 MW PV System 5.50 MW PV System

52.8% of Peak Load 29.4% of Peak Load

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12Copyright @ The University of Texas at El Paso. Proprietary Information

Case Study: Solar PV System

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13Copyright @ The University of Texas at El Paso. Proprietary Information

Case Study: Solar PV System

• Annual Electrical Production

1. Baseline 0 kWh

2. 3.38 MW PV System 6,236,530 kWh

3. 5.50 MW PV System 10,139,876 kWh

• Annual Grid Purchases

1. Baseline 46,880,920 kWh

2. 3.38 MW PV System 40,644,392 kWh

3. 5.50 MW PV System 36,929,608 kWh

kWh’s

Saved

22%

Reduction

13%

Reduction

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Case Study: Solar PV System

Current Rate 15% Increase 30% Increase

Main Campus Baseline

Cost of Electricity $3,261,809 $3,751,083 $4,240,354

LCOE 7.0¢/kWh 8.1¢/kWh 9.1¢/kWh

3.38 MW System

Cost of Electricity $2,845,108 $3,271,874 $3,698,640

LCOE 7.3¢/kWh 8.2¢/kWh 9.1¢/kWh

Savings $416,701 $479,209 $541,714

ROI -2.8% 11.7% 26.3%

5.50 MW System

Cost of Electricity $2,585,073 $2,972,833 $3,360,594

LCOE 7.6¢/kWh 8.4¢/kWh 9.1¢/kWh

Savings $676,736 $778,250 $879,760

ROI -3.0% 11.5% 26.1%

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Case Study: Microgrid System

Assumptions:

• Two electrical loads: Main Campus and

Physical Plants

• One thermal load

• Constant cost for Natural Gas

• No Grid Tie Connection

• Self-Generation

• 5.5 MW PV System

• CHP System with two 7.5 MW Turbines

• Energy Storage System (1 MWh)

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16Copyright @ The University of Texas at El Paso. Proprietary Information

Case Study: Microgrid System

Component Specifications:

• Solar PV System

• Size- 5.5 MW

• Derating factor- 82%

• Cost- $20,900,000

• CHP System

• Size- Two 7.5 MW turbine generators

• Efficiency- 83.7%

• Heat recovery- 75%

• Cost- $20,741,284

• Energy Storage System

• Capacity- 1 MWh

• Voltage- 12 V

• Round trip efficiency- 90%

• Cost- $1,000,000

• Total Investment Cost = $42,641,284

*SUNPOWER T10 Solar Roof Tile

*Solar Turbines Centaur 70

*Xtreme Power DPR

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Case Study: Microgrid System

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Facility Case Study: Microgrid System

Current Rate 15% Increase 30% Increase

Baseline for Combined Loads

Cost of Electricity (Annual) $4,070,259 $4,633,833 $5,322,647

Cost of Gas (Annual) $1,001,033 $1,001,033 $1,001,033

LCOE 6.5¢/kWh 7.4¢/kWh 8.5¢/kWh

Total Utility Cost (Annual) $5,071,292 $5,756,367 $6,382,561

Microgrid System

LCOE 7.7¢/kWh

Total Operating Cost $3,942,864/yr.

Savings $1,128,428 $1,813,503 $2,439,697

ROI -21% 28% 72%

*ROI based on initial investment of $42,641,284 and only 30 year lifecycle.

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Summary: Case Study

Integrating energy resources into a comprehensive management strategy

can optimize energy security and system reliability to avoid grid standby

charges and/or outages.

• Solar PV reduces peak demand and yearly operating costs

• Multiple units will provide power generation redundancy to improve reliability and avoid

electric rate stand-by charges.

• Multiple units reduces individual operational running times which extend system’s

lifetime and provides maintenance flexibility.

• Hybrid co-generation of Solar PV and gas turbines provide load balancing capability

to a micro-grid:

o Co-generation backs up the solar PV systems during periods of intermittency to

avoid grid demand charges

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Questions