Comparative performance analysis of direct-coupled DC and variable-frequency AC photovoltaic water pumping systems under tropical climatic conditions

Abstract Rural tropical areas often lack grid access and increasingly rely on photovoltaic water pumping. This study numerically compares two architectures under identical conditions (PV array, motor pump, hydraulic system, and demand): a direct-coupled DC system and a variable-frequency AC system with MPPT. Simulations use Typical Meteorological Year data (2005–2023) from four Cameroon sites, Meskine, Agola, Mbé, and Soa, at a 1-min time step. The PV generator is modeled with a single-diode model, the DC branch includes electromechanical motor dynamics, while the AC branch uses a quasi-steady power transfer model with an adaptive perturb-and-observe MPPT. Results show that the AC annual pumped volume exceeds DC at three sites: +18.9% at Meskine, + 24.3% at Agola, and + 7.8% at Mbé. At Soa, no AC gain was observed (− 1.8%, not significant). This ranking follows the local climate and is mirrored in energy efficiency, temperature-corrected Performance Ratio, and operating time. Decomposing the AC gain shows that it stems mainly from better utilization of photovoltaic power through MPPT, which captures 84–87% of the theoretical potential at high-insolation sites versus 66% at Mbé, rather than from a faster restart response at the temporal resolution considered. AC superiority is therefore not universal but climate-dependent, which argues for a site-specific assessment before any technological choice is made. An explicit limitation of this study is that the irradiance time series, available hourly and then extrapolated to one-minute steps, cannot resolve sub-hourly transients.

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-10-30
DOI
https://doi.org/10.21203/rs.3.rs-11267446/v1
Primary Topic
Photovoltaic System Optimization Techniques
Type
preprint

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Comparative performance analysis of direct-coupled DC and variable-frequency AC photovoltaic water pumping systems under tropical climatic conditions

Venant Sorel Chara-Dackou, Bertrand Bodo, Ariel Teyou Ngoupo, Felix Ngangoum Welaji et al.
Research Square
Photovoltaic System Optimization Techniques
preprint

Comparative performance analysis of direct-coupled DC and variable-frequency AC photovoltaic water pumping systems under tropical climatic conditions

Venant Sorel Chara-Dackou, Bertrand Bodo, Ariel Teyou Ngoupo, Felix Ngangoum Welaji, Antoine Fanyep Nana, / Yaouba, Elie Bertrand Kegne Signe, Lyse Vanessa Ngansop, Charles Bertrand Gubong Takam
preprint en

Abstract

Abstract Rural tropical areas often lack grid access and increasingly rely on photovoltaic water pumping. This study numerically compares two architectures under identical conditions (PV array, motor pump, hydraulic system, and demand): a direct-coupled DC system and a variable-frequency AC system with MPPT. Simulations use Typical Meteorological Year data (2005–2023) from four Cameroon sites, Meskine, Agola, Mbé, and Soa, at a 1-min time step. The PV generator is modeled with a single-diode model, the DC branch includes electromechanical motor dynamics, while the AC branch uses a quasi-steady power transfer model with an adaptive perturb-and-observe MPPT. Results show that the AC annual pumped volume exceeds DC at three sites: +18.9% at Meskine, + 24.3% at Agola, and + 7.8% at Mbé. At Soa, no AC gain was observed (− 1.8%, not significant). This ranking follows the local climate and is mirrored in energy efficiency, temperature-corrected Performance Ratio, and operating time. Decomposing the AC gain shows that it stems mainly from better utilization of photovoltaic power through MPPT, which captures 84–87% of the theoretical potential at high-insolation sites versus 66% at Mbé, rather than from a faster restart response at the temporal resolution considered. AC superiority is therefore not universal but climate-dependent, which argues for a site-specific assessment before any technological choice is made. An explicit limitation of this study is that the irradiance time series, available hourly and then extrapolated to one-minute steps, cannot resolve sub-hourly transients.

Research Square
Université de Yaoundé I (CM), University of Bangui (CF), Institut de Recherches Géologiques et Minières (CM)
European Commission, Joint Research Centre
Affordable and clean energy, Climate action, Industry, innovation and infrastructure
Photovoltaic System Optimization Techniques
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.

Laika access coming soon