Document details

Spatial-Temporal Estimation of the PV Market Potential in Subareas

Author(s): Villavicencio, J. [UNESP] ; Padilha-Feltrin, A. [UNESP] ; Melo, J. D. ; IEEE

Date: 2020

Persistent ID: http://hdl.handle.net/11449/196863

Origin: Oasisbr

Subject(s): Geographic information system; Distribution network; Photovoltaic market potential; Photovoltaic systems; Geographic information system; Geographic information system; Distribution network; Distribution network; Photovoltaic market potential; Photovoltaic market potential; Photovoltaic systems; Photovoltaic systems


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

This paper presents a methodology to estimate photovoltaic (PV) market potential in subareas along the time. The proposed methodology takes into account technical and economic constraints to determine the PV market potential. In the estimation is considered the market adhesion degree for investing in PV system. This methodology is applied to a medium-sized city in Brazil by using historical data of PV systems installations from 2013 to 2018 as a way to adjust the proposed model. One of the results are thematic maps that show the PV market potential by subareas in the planning horizon of study. Furthermore, two tariffs schemes are considered in the study of scenarios to observe changes in the estimated values of potential due to the application of other incentive program. These results provide useful information for the planning of distribution system considering the expansion of PV systems and the energy quantity that users will stop consuming from the distribution network.

UNESP Sao Paulo State Univ, Dept Elect Engn, Ilha Solteira, Brazil

Fed Univ ABC UFABC, Engn Modeling & Appl Social Sci Ctr, CECS, Santo Andre, SP, Brazil

UNESP Sao Paulo State Univ, Dept Elect Engn, Ilha Solteira, Brazil

CAPES: 001

FAPESP: 2015/21972-6

FAPESP: 2017/22577-9

CNPq: 307281/2016-7

CNPq: 422044/2018-0

Document Type Other
Language English
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