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Development and demonstration of a novel solar thermal collector for low and medium temperatures

Prof. Gerardo Diaz, Dr. Edbertho Leal-Quiros, Julio Perez, Sai Hota

University of California, Merced

Final Meeting, California Energy Commission, February 26, 2021

Prof. Carlos Coimbra, Dr. Hugo Pedro, Jessica Medrado

University of California, San Diego

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Natural Gas Consumption

Energy Consumption (Residential and Commercial)

CEC California Energy Demand 2014-2024; KEMA Appliance Saturation Survey

NG Consumption (Residential)

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NG-Related Incidents

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  • Duration: October 23, 2015 to February 18, 2016

  • Estimated Emissions:
    • 97,100 tons of methane
    • 7,300 tons of ethane

Source: nytimes.com

Aliso Canyon Gas Blowout

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  • Residential water heating in CA accounts for almost 25% of total energy use
  • Outdated natural gas distribution system in CA
    • Flammable gas under high pressure
    • Most pipelines built in the 1950s and 1960s
    • Climate change and sea level rise
  • Methane: Short-lived Climate Pollutant, GWP 28 over one-hundred years
  • California Senate Bill 32
    • reduction in GHG emissions to 40% below the 1990 levels by 2030

Project Motivation

Reduction in NG consumption

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Flat-plate

Minichannel

  • Small pipes welded to thin absorber plate
  • Main Issue: Small section of pipe in contact with plate

  • Not common in the solar thermal industry
  • Produced through extrusion
  • Main Advantage: Efficient heat transfer

https://www.alternative-energy-tutorials.com/solar-hot-water/flat-plate-collector.html

Collector Concept

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University of California, Merced

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Machining and Welding of Minichannel Absorber

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Apartment Complex

Single-family housing

Demonstration Sites (Near Aliso Canyon)

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Multifamily Building

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Performance Data: Multifamily building

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NG Consumption: Multifamily home

  • Comparison w.r.t. 2018, there is a reduction of 38.8% in NG consumption
  • This is equivalent to the reduction of CO2 emissions of 8.1 tons.
  • Comparison with respect to 2019, results in 42.4% in NG consumption (9.52 tons of CO2)

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NG Utility Bill: Multifamily home

  • Savings of $1276 w.r.t. 2017 (28.9%)
  • Savings of $1487 w.r.t. 2018 (32.1%)
  • Savings of $2324 w.r.t. 2019 (42.5%)

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Single-Family Home

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Performance Data: Single-family home

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NG Consumption: Single-family home

  • Comparing with 2017, there is a reduction of 34% in NG consumption
  • This is equivalent to the reduction of CO2 emissions of 2.4 tons.
  • However, comparison with respect to 2019, does not show a significant reduction.

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Source: Data provided by property manager at Woodman Apartment Homes (2020)

NG Utility Bill: Single-family home

  • Savings of $551 w.r.t. 2017 (30.1%)
  • Increase of $328 w.r.t. 2018 (-34.5%) (notice some months without consumption)
  • Savings of $30 w.r.t. 2019 (2.29%)

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Aluminum Minichannel

  • Absorber + Frame = $620
  • Fabrication = $1,000/collector

Total = $1,620 per collector

Equivalent Cu Collector

On average $1200

Cost

  • Specifications
  • 10 minichannel tubes
    • Area = 2.94m2
  • Two 2.54cm diameter headers

  • SunEarth EP40 collector frame (3.1m by 1.2m)
  • SOLKOTE black chrome paint (⍺max = 95%; εmax=12%)

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Research: Low-grade Steam Generation

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Selection Criteria for Potential Locations

&

Economic Analysis

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Selection Criteria for Potential Locations

  • Study of the influence of the climate zones and solar resource on the SWH performance.

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Satellite data

(GHI, DNI, DHI)

Ground Data (CIMIS, ASOS)

GHI, Temp, wind

NREL’s system advisor model (SAM)

Model parametrizations

Fabricated dimensions

 

 

Thermal performance (EES)

Identified “best” locations

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Selection Criteria for Potential Locations

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The top left panel shows the domain for this analysis. The panel also indicates 147 CIMIS stations and 144 ASOS stations used to obtain ground telemetry. The other five panels compare satellite-derived and ground-telemetry (CIMIS) for five locations in CA from May 15 to May 19, 2018.

In this run EES we simulate the SWH performance at UC Merced for the summer of 2017. The left panel shows the EES code, the top-right panel shows the output for sequential run of EES (each row corresponds to a different timestamp), and the bottom-right panel shows the predefined GHI and ambient temperature.

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Selection Criteria for Potential Locations

  • Geographical analysis of the collector’s performance
  • Clustering analysis that allows identifying the best locations in the state for this technology

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Left panel shows 5 clusters in the dataset after a k-means clustering analysis.

Right panel shows the scatter plot of efficiency versus the collector’s outlet temperature.

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Selection Criteria for Potential Locations

  • Other factors for site selection
    • Population density
    • Natural gas consumption
    • Natural gas pipeline infrastructure

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Natural gas consumption. Data collected from utility companies for the year 2015.

Population density and public schools' location.

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Selection Criteria for Potential Locations

  • Clustering analysis and auxiliary data were converted into an interactive webpage
  • http://coimbra-server3.dynamic.ucsd.edu/cecucm/

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Economic Analysis

  • Economic analysis conducted using NREL’s System Advisor Model (SAM)
  • Simulation used one year of 1-hour averaged weather data for the selected cluster
  • Single family home
  • Solar collector parameters simulate microchannel collector
  • Hot water usage profile specified in �ASHRAE Standard 90.2 (Hang et al. 2012)
  • Analysis based on 5 cases

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Variable

Case 1

Case 2

Case 3

Case 4

Case 5

Initial Cost

$8060

$4030

$4030

$4030

$4030

Debt Fraction

80%

80%

40%

20%

80%

O&M Cost

$50 per KWYr

$50 per KWYr

$50 per KWYr

$50 per KWYr

$10 per KWYr

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Economic Analysis

  • Levelized cost and payback period are very sensitive to initial and O&M costs and less sensitive to debt fraction.
  • Incentives significantly help in keeping the payback period and levelized cost low

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Case 1

Case 2

Case 3

Case 4

Case 5

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Economic Analysis

  • Break even analysis developed by NREL (Cassard et al. 2011)
    • three different scenarios
      • base case scenario
      • the optimistic scenario (increasing �break-even cost)
      • pessimistic scenario (lowering the break-even cost)
  • Input variables are grouped into five different classes,
    • financial
    • system performance
    • hot water usage
    • electricity cost
    • policy

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Input variables for the low (pessimistic), high (optimistic) and base case scenarios

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Economic Analysis

  • The base case scenario highlighting the point with the ‘best’ break-even cost (point A).
  • Tornado plot showing the effect of the five classes of impact on the break-even cost for point A.
  • System performance is the class with the most pronouncing effect on the break-even cost.

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Roof Space

https://www.propertycasualty360.com/2019/04/24/make-sure-your-roofs-warranty-remains-effective-under-those-solar-panels

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Installed Systems/Electricity Consumption

  • Central air conditioning: 2000 – 5000
  • Electric dryer (clothes): 4000
  • Dishwasher: 1200– 1500
  • Electric stove/oven: 2000 – 5000
  • Microwave oven: 1000 – 1500
  • Hair dryer: 1875

  • Electric car (Level 2): 7200

Power Consumption in Watts

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Acknowledgements

  • Dr. Edbertho Leal Quiros
  • Sai Hota Kiran, Hector Gomez, Ziad Nasef, Andres Muñoz, Viacheslav Plotnikov

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  • California Energy Commission
  • Coimbra Research Group (UCSD)
  • Henry Contreras Trucking
  • All Valley Solar Inc.
  • Andrew Krowne

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Questions?

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Orange Aluminum

Precision Profile Extrusions

Peerless of America

Simulated Open Profiles

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  • Northridge, CA
  • 5 bedrooms, 2.5 bathrooms
  • Tankless NG water heater

  • 120-gallon storage tank

  • Solar Loop
    • pump
    • heat exchanger

Installation Components - Single-family Home

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University of California, Merced

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Apartment Complex Installation

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Thermal Analysis of Flat-Plate Collectors

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