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LEAST COST ANALYSIS FOR SOLAR PHOTOVOLTAIC MAINTENANCE at the WMU Miller Array Kelsey Pitschel Mechanical Engineering Dr. Harold Glasser Western Michigan University Thesis Defense Lee Honors College Spring 2016

LEAST COST ANALYSIS FOR SOLAR PHOTOVOLTAIC …wmich.edu/sites/default/files/attachments/u159/2016...Existing - Cleaning Entire array would need to increase its margin of energy generation

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Page 1: LEAST COST ANALYSIS FOR SOLAR PHOTOVOLTAIC …wmich.edu/sites/default/files/attachments/u159/2016...Existing - Cleaning Entire array would need to increase its margin of energy generation

LEAST COST ANALYSIS FOR SOLAR

PHOTOVOLTAIC MAINTENANCE at the WMU Miller Array

Kelsey PitschelMechanical Engineering Dr. Harold GlasserWestern Michigan University

Thesis Defense Lee Honors College Spring 2016

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Agenda

- Background- Problem Statements- Best Practice - Methodology - Results & Analysis - Recommendations

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Background - Miller Array at WMU

50 kW DC total

18 ground-mounted poles

One degree of freedom

South facing

Microinverters for each module

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Background - Photovoltaics

Directly convert sunlight into DC electricity

More efficient in cooler temperatures

Not as common in the midwest

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Problem Statement Adjusting:

Are we currently maximizing WMU’s cost savings (or personnel time) at the Miller Array?

Do we need to adjust the panels?

Do fixed panels produce a competitive amount of annual energy savings?

Cleaning:

Do we need to clean the panels?

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Best Practice / Industry Standard

Tilt Angle: Slightly less than latitude

Cleaning occurrence: 1-2 times/year

Annual cost for maintenance: $30/kW-year

Method: Scrub brush with deionized water to remove soiling

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Methodology

1. Assess existing procedures / Determine expectations 2. Develop proposed schedules 3. Facilitate proposed schedules / Data collection 4. Determine energy cost savings / Maintenance costs 5. Provide recommendations

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Method - Metrics

Energy produced (kWh), per panel

Electricity Costs ($/kWh), based on annual average

Maintenance Rates ($/hr), based on WMU official rates

Net annual savings or costs ($/year)

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Method

Cost Savings

energy cost savings ($) = energy produced (kWh) x electricity utility rate ($/kWh)

Net Annual Savings

net annual savings ($) = [energy cost savings ($) - maintenance costs ($)]annual

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Typical daily power trends, spring

microinverter

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Existing Procedures

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Existing - Adjustment Schedule

Existing Tilt Schedule

Season Date Angle (deg from horiz)

Spring Feb 27 40

Summer Apr 20 20

Fall Aug 22 40

Winter I Oct 13 70

Winter II At first snowfall Near vertical

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Rates and Costs

Typical Labor Hours and Rates, WMU

Equivalent hours to adjust entire array 3.31 hrs

Typical pay rate, 2013 $58.48/hr

Typical pay rate, 2014-16 $60.83/hr

Annual Electricity Utility Rates

2013 $ 0.1106 /kWh

2014 $ 0.1087 /kWh

2015 $ 0.1005 /kWh

Currently entire array requires 27.2 equivalent personnel hours / year

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Existing - Adjusting Results

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Existing - Cleaning

Entire array would need to increase its margin of energy generation by

4,000 kWh each year

in order to offset cost for cleaning.

Currently, no cleaning measures for solar panels at WMU.

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Proposed Schedule Design

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Expectations - Tilt

According to NREL’s PVWATTS Calculator:

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Adjustment Schedule Design

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Procedure - Adjustments, Proposed

Proposed Tilt Schedule, Group 1

Season Date Angle (deg from horiz)

Spring Feb 15 40

Summer Apr 1 20

Fall Sept 1 40

Winter I Oct 15 60

Winter II Dec 1 Near vertical

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Procedure - Adjustments, Proposed

Proposed Tilt Schedule, by Group

Group 1 Group 2 Group 3

Seasonal Industry Standard Fixed Rooftop Fixed

5 times per year* Fixed at 35 degrees Fixed at 20 degrees

Panels 1 - 7 (west) Panels 8 - 14 Panels 15 - 18 (east)

3 panels cleaned 3 panels cleaned 2 panels cleaned

*Refer to Group 1 Seasonal Tilt Schedule

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Proposed Array Schematic

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EastWest

Note: Perfect day for solar panels

Array Configuration

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Group 1

Group 2

Group 3

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Procedure - Cleaning

Proposed Cleaning Schedules

For: Group 1 Group 2 Group 3

Panel Number 1, 2, 3 12, 13, 14 15, 16

Dates of Cleaning June 1 / Oct 1

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Process

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Analysis Adjustments

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Tilt Adjustment Results

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Annual Energy Production, by group

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Analysis Cleaning

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Analysis - Cleaning

0.31% increase in annual energy production when cleaned

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Cleaning Cost

For WMU, 10 hours of available personnel time each year

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Analysis - Cleaning

Difference between clean and dirty net savings = $606

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Recommendations

Adjusting:

Are we currently maximizing WMU’s cost savings (or personnel time) at the Miller Array? No.

Do we need to adjust the panels? Not really.

Do fixed panels produce a competitive amount of annual energy savings? Yes.

Cleaning:

Do we need to clean the panels? No.

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Without cleaning, we do not require 10 hours of personnel work each year.

$760 $5,400 $6,160+ =

Annual savings without adjusting...

avoided cost of adjusting

energy production for

entire array

total for each future year

or 27 personnel hours

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The least cost maintenance solution is no maintenance at all.

$5,400+ annual cost savings from energy production

with 27 personnel hours able to be allocated to other tasks

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Acknowledgements

Dr. Harold Glasser, Committee Chair

Chris Caprara, Committee Member

Elijah Lowry, Student

WMU Facilities Management

WMU Office for Sustainability

WMU Lee Honors College

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Questions?

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Pocket Slides

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Future Research Suggestions

Compare performance between Miller, Wood, and Sangren solar arrays

Identify any declines in panel performance over time

Determine trends between EV charging consumption and panel production

Compare performance on microinverters and string tied inverters

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Snow is real