Grid-Connected Photovoltaic Systems as an Alternative for Sustainable Urbanization in Southeastern Mexico

Rapid urban growth poses distinct energy and environmental challenges in various regions of the world. This study evaluated the technical and economic feasibility of a grid-connected photovoltaic system in Santo Domingo Tehuantepec, Oaxaca, Mexico, using Homer Pro software, version 3.14.2, to simulate realistic scenarios. The analysis incorporated local climate data, residential load profiles, and updated economic parameters for 2024. System optimization resulted in an installed capacity of 173 kW of solar panels and 113 kW of inverters, yielding a levelized cost of energy (LCOE) of MXN 1.43/kWh, a return on investment (ROI) of 5.3%, an internal rate of return (IRR) of 8%, and a simple payback period of 10 years. The projected annual energy output was 281,175 kWh, covering 36% of the local energy demand. These results highlight the potential for integrating renewable energy into urban contexts, offering significant economic and environmental benefits. The integration of public policy with urban planning can enhance energy resilience and sustainability in intermediate cities. This study also supports the application of tools such as Homer Pro in designing energy solutions tailored to local conditions and contributes to a fair and decentralized energy transition.

Authors

Institutions

Publication Details

Journal
Urban Science
Published
2025-08-20
DOI
https://doi.org/10.3390/urbansci9080329
Citations
5
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
2.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Grid-Connected Photovoltaic Systems as an Alternative for Sustainable Urbanization in Southeastern Mexico

Miguel Patiño-Ortiz, Eduardo Campos‐Mercado, Adán Acosta-Banda, Liliana Hechavarría Difur et al.
5 citations
Urban Science
Energy and Environment Impacts
2.52
article

Grid-Connected Photovoltaic Systems as an Alternative for Sustainable Urbanization in Southeastern Mexico

Miguel Patiño-Ortiz, Eduardo Campos‐Mercado, Adán Acosta-Banda, Liliana Hechavarría Difur, Verónica Aguilar-Esteva, Benito Cortés-Martínez
article en
5 citations

Abstract

Rapid urban growth poses distinct energy and environmental challenges in various regions of the world. This study evaluated the technical and economic feasibility of a grid-connected photovoltaic system in Santo Domingo Tehuantepec, Oaxaca, Mexico, using Homer Pro software, version 3.14.2, to simulate realistic scenarios. The analysis incorporated local climate data, residential load profiles, and updated economic parameters for 2024. System optimization resulted in an installed capacity of 173 kW of solar panels and 113 kW of inverters, yielding a levelized cost of energy (LCOE) of MXN 1.43/kWh, a return on investment (ROI) of 5.3%, an internal rate of return (IRR) of 8%, and a simple payback period of 10 years. The projected annual energy output was 281,175 kWh, covering 36% of the local energy demand. These results highlight the potential for integrating renewable energy into urban contexts, offering significant economic and environmental benefits. The integration of public policy with urban planning can enhance energy resilience and sustainability in intermediate cities. This study also supports the application of tools such as Homer Pro in designing energy solutions tailored to local conditions and contributes to a fair and decentralized energy transition.

Urban ScienceVol. 9(8)
Instituto Politécnico Nacional (MX), Universidad del Istmo (GT)
Openalex Percentile: Top 10%
Energy and Environment Impacts
2.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.