LAPSE:2023.23112
Published Article

LAPSE:2023.23112
A Cost-Effective and Transferable Methodology for Rooftop PV Potential Assessment in Developing Countries
March 27, 2023
Abstract
The efficient uptake of decentralized solar rooftop photovoltaics (PV) is in some cases hindered by ineffective energy and political framework conditions. These may be based on inaccurate and uncertain potential assessments in the early development stage of the solar market. This paper develops a more accurate, cost-effective, and robust potential assessment for emerging and developing economies. Adjusting the module efficiency corresponding to regional and household conditions improves the output accuracy. The rooftop PV market changes are simulated regarding different input changes and policy designs, including changing the Feed-In Tariff (FIT), grid tariff, and technology development. In the case study, the market potential in Vietnam is estimated at 260−280 TWh/a and is clustered into six groups in priority order, in which Hanoi and Ho Chi Minh need the most policy focus. Changing the FIT from 8.83 to 9 Euro cent/kWh and using different regional FITs can activate an additional 16% of the market and lead to a possible 28 million Euro benefit. Increasing the grid tariff to 8.7 cents/kWh could activate the self-consumption model, and the self-sufficient market can be guaranteed in the case of CAPEX and OPEX being lower than 650 Euro/kWp. Future developments of the method should focus on combining this top-down method with detailed bottom-up approaches.
The efficient uptake of decentralized solar rooftop photovoltaics (PV) is in some cases hindered by ineffective energy and political framework conditions. These may be based on inaccurate and uncertain potential assessments in the early development stage of the solar market. This paper develops a more accurate, cost-effective, and robust potential assessment for emerging and developing economies. Adjusting the module efficiency corresponding to regional and household conditions improves the output accuracy. The rooftop PV market changes are simulated regarding different input changes and policy designs, including changing the Feed-In Tariff (FIT), grid tariff, and technology development. In the case study, the market potential in Vietnam is estimated at 260−280 TWh/a and is clustered into six groups in priority order, in which Hanoi and Ho Chi Minh need the most policy focus. Changing the FIT from 8.83 to 9 Euro cent/kWh and using different regional FITs can activate an additional 16% of the market and lead to a possible 28 million Euro benefit. Increasing the grid tariff to 8.7 cents/kWh could activate the self-consumption model, and the self-sufficient market can be guaranteed in the case of CAPEX and OPEX being lower than 650 Euro/kWp. Future developments of the method should focus on combining this top-down method with detailed bottom-up approaches.
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Keywords
developing countries, renewable support policies, resource assessment, rooftop PV, self-consumption
Subject
Suggested Citation
Minh Khuong P, McKenna R, Fichtner W. A Cost-Effective and Transferable Methodology for Rooftop PV Potential Assessment in Developing Countries. (2023). LAPSE:2023.23112
Author Affiliations
Minh Khuong P: Institute for Industrial Production, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany
McKenna R: Energy Systems Analysis, Sustainability Division, Department of Technology, Management and Economics, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Fichtner W: Institute for Industrial Production, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany
McKenna R: Energy Systems Analysis, Sustainability Division, Department of Technology, Management and Economics, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Fichtner W: Institute for Industrial Production, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany
Journal Name
Energies
Volume
13
Issue
10
Article Number
E2501
Year
2020
Publication Date
2020-05-15
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13102501, Publication Type: Journal Article
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LAPSE:2023.23112
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https://doi.org/10.3390/en13102501
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Mar 27, 2023
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