Forecasting Distributed PV Adoption in Barranquilla, Colombia

Ashreeta Prasanna; Katy Waechter; Sean Esterly; Katerin Osorio Vera

doi:10.2172/1882672

Forecasting Distributed PV Adoption in Barranquilla, Colombia

Ashreeta Prasanna, Katy Waechter, Sean Esterly, Katerin Osorio Vera

Renewable Energies Association Colombia

Research output: NREL › Presentation

Abstract

The objective of the dGen Colombia project is to provide projections to 2050 on distributed PV deployment by sector for a range of scenarios for Barranquilla, Colombia. NREL used the open-source Distributed Generation Market Demand Model (dGen) adapted for international projects for this analysis. As part of this analysis, technical potential, economic potential, and adoption projections of rooftop and groundmount PV for the city of Barranquilla are presented. Five main scenarios and their combinations were modeled to provide insight on the impact of increased demand from electric vehicles, air conditioning, and time-of-use tariffs.

Original language	American English
Number of pages	24
DOIs	https://doi.org/10.2172/1882672
State	Published - 2022

NREL Publication Number

NREL/PR-7A40-83572

Keywords

analysis
Barranquilla
Colombia
dGen analysis
distributed generation market demand model
modeling
PV
solar photovoltaics
solar PV
USAID

Access to Document

10.2172/1882672

https://www.nrel.gov/docs/fy22osti/83572.pdf

Cite this

@misc{9a80ffc21f2b4c019cc2743d97a132fd,

title = "Forecasting Distributed PV Adoption in Barranquilla, Colombia",

abstract = "The objective of the dGen Colombia project is to provide projections to 2050 on distributed PV deployment by sector for a range of scenarios for Barranquilla, Colombia. NREL used the open-source Distributed Generation Market Demand Model (dGen) adapted for international projects for this analysis. As part of this analysis, technical potential, economic potential, and adoption projections of rooftop and groundmount PV for the city of Barranquilla are presented. Five main scenarios and their combinations were modeled to provide insight on the impact of increased demand from electric vehicles, air conditioning, and time-of-use tariffs.",

keywords = "analysis, Barranquilla, Colombia, dGen analysis, distributed generation market demand model, modeling, PV, solar photovoltaics, solar PV, USAID",

author = "Ashreeta Prasanna and Katy Waechter and Sean Esterly and {Osorio Vera}, Katerin",

year = "2022",

doi = "10.2172/1882672",

language = "American English",

type = "Other",

}

TY - GEN

T1 - Forecasting Distributed PV Adoption in Barranquilla, Colombia

AU - Prasanna, Ashreeta

AU - Waechter, Katy

AU - Esterly, Sean

AU - Osorio Vera, Katerin

PY - 2022

Y1 - 2022

N2 - The objective of the dGen Colombia project is to provide projections to 2050 on distributed PV deployment by sector for a range of scenarios for Barranquilla, Colombia. NREL used the open-source Distributed Generation Market Demand Model (dGen) adapted for international projects for this analysis. As part of this analysis, technical potential, economic potential, and adoption projections of rooftop and groundmount PV for the city of Barranquilla are presented. Five main scenarios and their combinations were modeled to provide insight on the impact of increased demand from electric vehicles, air conditioning, and time-of-use tariffs.

AB - The objective of the dGen Colombia project is to provide projections to 2050 on distributed PV deployment by sector for a range of scenarios for Barranquilla, Colombia. NREL used the open-source Distributed Generation Market Demand Model (dGen) adapted for international projects for this analysis. As part of this analysis, technical potential, economic potential, and adoption projections of rooftop and groundmount PV for the city of Barranquilla are presented. Five main scenarios and their combinations were modeled to provide insight on the impact of increased demand from electric vehicles, air conditioning, and time-of-use tariffs.

KW - analysis

KW - Barranquilla

KW - Colombia

KW - dGen analysis

KW - distributed generation market demand model

KW - modeling

KW - PV

KW - solar photovoltaics

KW - solar PV

KW - USAID

U2 - 10.2172/1882672

DO - 10.2172/1882672

M3 - Presentation

ER -

Forecasting Distributed PV Adoption in Barranquilla, Colombia

Abstract

NREL Publication Number

Keywords

Access to Document

Fingerprint

Cite this