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An Inherently Superior Paradigm Shift for Renewable Energy

by | May 3, 2022 | Engineering, Presentations, Renewable Energy, Solar, Updates, www.TC-AZ.com | 0 comments

Research Webpage –

Researched and presented while attending the 11th grade, this work explores the efficiency impact of converting direct current (DC) electricity, naturally produced by solar photovoltaic generation (PV) to alternating current (AC) for distribution to a different location and subsquently converting the same back to DC for the purposes of recharging a battery or powering semiconductor devices.  Based on my findings, I outlined a new framework for PV propagation that would enjoy an inherently superior economic outcome and therefore, complement existing efforts to enhance PV’s contribution to quality of life improvements.

An Inherently Superior Paradigm Shift for Renewable Energy

High School AP Capstone Research Project by Kaley Romain

I. INTRODUCTION

EV/PV ORIGINS

In the United States, the first electric car, an 1890 six passenger electrified wagon with a top speed of 14 miles per hour, sparked an interest in electric vehicles. That interest led to electric cars representing ⅓ of all vehicles on the road by 1900 with continued strong sales over the next 10 years. With the enthusiasm experienced over 100 years ago, one would anticipate an overwhelming presence of electric vehicles (EVs) in modern society. To the contrary, electric vehicle presence in the market has declined to virtual obscurity.

EV/PV HISTORICAL AND CURRENT PROPAGATION

To explain the limited propagation of these functionally and objectively related technologies, EV (representing power consumption) and PV (representing power generation) with batteries (representing power storage) being the factor that connects them, we must evaluate their historical and current deployment paradigms while exploring the potential for new or alternate approaches that would create cumulative propagation improvements.

AN ALTERNATIVE PARADIGM

In consideration of the exponential year-over-year growth, aggressive promotion, investment incentives, competitive energy disincentives and dire environmental messaging to date the question would be, regardless of the justification for their pursuits, is a 10% market share for EVs and a 0.46% market share for PV generation indicative of a policy that has or will achieve a compelling saturation of these technologies in the U.S.?

II. GAP IN RESEARCH

INHERENT SUPERIORITY

The catalyst that triggered PV’s transition from a scientific curiosity to useful functionality worthy of production was its ability to generate electrical power where it is difficult at best to acquire. Space, the impetus of the symbiotic marriage of EV in the form of satellites and PV solar electricity, is not the defining scope for this inherently superior context. As the economics of PV improved, driven by its production for space operations, opportunities on Earth took root with powering remotely located, electrically powered functions.

III. RESEARCH AND METHODOLOGY

NATURAL VERSUS PROCESSED POWER

While this research did not seek to quantify how much of the 130 billion kilowatt-hours produced by PV generation plants in 2020 was converted to AC power and inevitably converted back to DC power to charge batteries, it does seek to quantify the reduction in efficiency caused by the additional conversion. The initial hypothesis is reducing electrical conversions required to charge batteries will reduce power losses and create an opportunity to improve the economics of the process.

TEST AND DATA COLLECTION CONFIGURATION

Referring to the block diagram below (Fig. 1), the components utilized are as follows:

1. System 1 - PV 0-70VDC to Battery 12VDC Charging System

  • Solar DC Source – (2) Grape Solar Model CS-S-180-DJ 180 Watt Modules
  • DC Charge Controller – Victron Energy SmartSolar MPPT 150/35
    • Efficiency specification: Maximum 98%

2. System 2 – Battery 23-25VDC to 120VAC to Battery 12VDC Charging System

  • Battery DC Source – (2) Concorde AGM Battery Model PVX-2120 12VDC
  • DC to AC Inverter – Victron Energy Phoenix Model 24/250 Inverter
    • Efficiency specification: Maximum 88%
  • AC to DC Charger – Victron Energy Blue Smart Model 12V Charger
    • Efficiency specification: 94%

3. Destination Battery Storage

a. Battery DC Destination – (1) Concorde AGM Battery Model PVX-2120 12VDC

Test Configuration Diagram

SPECIFICATION EXPECTATIONS AND VALIDATION

According to the original equipment manufacturer’s specification for the devices used, with the exception of the circuit related losses that are reasonably balanced for both test configurations, System 1 should expect a maximum of ~98% efficiency (minimum ~2% loss) and System 2 should expect a maximum of ~83% efficiency (minimum ~17% loss {94% of the power from the inverter derived from 88% of the power from the ~24VDC series batteries}).

IV. RESULTS

COLLECTED DATA

With the percentage of power loss charted on the left Y axis, the input power charted on the right Y axis over the passage of time in the X axis, the following conclusions can be made for the “high power mode” (Fig. 2) and “low power mode” (Fig. 3) respectively:’

In high power mode

System 1

  • input power between 265-270 watts (dark green line by right Y axis)
  • conversion loss percentage 8-10% (light green line by left Y axis)

System 2

  • input power between 305-315 watts (dark blue line by right Y axis)
  • conversion loss percentage 38-41% (light blue line by left Y axis)

Differential

  • System 2 incurred a minimum of 28% to a maximum of 33% additional loss of performance as a result of the extra conversion process (red line by left Y axis)

High Power Mode
Fig. 2. 9am – 10:36:24pm power loss and input power in “high power” mode.

In low power mode

System 1

  • input power between 140-145 watts (dark green line by right Y axis)
  • conversion loss percentage 8-10% (light green line by left Y axis)

System 2

  • input power between 65-70 watts (dark blue line by right Y axis)
  • conversion loss percentage 28-31% (light blue line by left Y axis)

Differential

  • System 2 incurred a minimum of 18% to a maximum of 23% additional loss of performance as a result of the extra conversion process (red line by left Y axis)

Low Power Mode
Fig. 3. 4pm – 12:36:44pm power loss and input power in “low power” mode.

System 1 from Zero to Maximum Power

Finally, System 1 was operated independently to observe its efficiency from zero to maximum power input as represented by the March 24th, 2022 charts below (Fig. 4-7 Quarters):

Sunrise Through 10:32:58 AM

Sunrise to10:32:58 AM

10:32:58 AM Through Solar Noon

10:32:58 AM to Solar Noon

Solar Noon Through 2:32:58 PM

Solar Noon to 2:32:58 PM

2:32:58 PM Through Sunset

2:32:58 PM to Sunset

INHERENTLY SUPERIOR DESIGN

The results provided demonstrate the designed for purpose performance of the solar charge controller, which confines its power efficiency losses between ~8-13% throughout its broad nominal operating range.

INHERENTLY SUPERIOR USER EXPERIENCE

Inherently superior applies to any context, which includes the user. In this context, the paradigm shift is directed toward adapting technology to its users rather than forcing the reverse.

V. CONCLUSION

As previously stated, conclusions of this exercise are intended to promote renewable energy technology propagation through unique or unleveraged opportunities that may be lost in the forest of the environmental and public policy promotions of the last two decades. By discovering, developing, and delivering unique inherently superior opportunities atypical of the industry that produce an increase in usability, performance, desirable economic outcome, and other advantages, the market share of the same would likely experience a significant increase since pursuing the same would not discourage those who are already committed to the benefits, namely environmental, currently promoted in the U.S. and abroad.

REFERENCES

[1] S. Denby, T. Purdy, A. Williard, J. Sherrington, G. Haerther, and S. Buckmaster, “The Electric Vehicle Charging Problem,” Youtube, 09-Feb-2021. [Online]. Available: https://youtube.com/watch?v=pLcqJ2DclEg&feature=shares&t=15. [Accessed: 29-Apr-2022].
[2] “Electricity in the U.S. – U.S. Energy Information Administration (EIA),” Independent Statistics and Analysis – U.S. Energy Information Administration (EIA). [Online]. Available: https://www.eia.gov/energyexplained/electricity/electricity-in-the-us.php. [Accessed: 29-Apr-2022].
[3] “Photovoltaics and electricity – U.S. Energy Information Administration (EIA),” Independent Statistics and Analysis – U.S. Energy Information Administration. [Online]. Available: https://www.eia.gov/energyexplained/solar/photovoltaics-and-electricity.php [Accessed: 29-Apr-2022].
[4] “Electric vehicles and hybrids surpass 10% of U.S. light-duty vehicle sales,” Independent Statistics and Analysis – U.S. Energy Information Administration (EIA). [Online]. Available: https://www.eia.gov/todayinenergy/detail.php?id=51218. [Accessed: 29-Apr-2022].
[5] Iea, “Policies to promote electric vehicle deployment – Global EV Outlook 2021 – Analysis,” IEA, 2021. [Online]. Available: https://www.iea.org/reports/global-ev-outlook-2021/policies-to-promote-electric-vehicle-deployment. [Accessed: 29-Apr-2022].
[6] S. Gouchoe, V. Everette, and R. Haynes, “Case studies on the effectiveness of state financial incentives for Renewable Energy,” Subcontractor Report, Sep. 2002.
[7] F. Mormann, “Clean Energy Equity,” May 2019. Available: https://scholarship.law.tamu.edu/cgi/viewcontent.cgi?article=2309&context=facscholar. [Accessed: 29-Apr-2022].
[8] S. Caldwell, “3.0 power,” NASA. [Online]. Available: https://www.nasa.gov/smallsat-institute/sst-soa/power. [Accessed: 29-Apr-2022].
[9] J. N. DiStefano, “Inside Amazon’s largest warehouse – where you’ll find more robots than people,” https://www.inquirer.com, 19-Oct-2021. [Online]. Available: https://www.tc-az.com/wp-content/uploads/2023/03/More-Robots-Than-People.pdf. [Accessed: 29-Apr-2022].

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