Design and implementation of off-grid solar power system for rooftop farming in Tangerang, Indonesia

This paper presents the design and implementation of a solar power system for rooftop farming in a building located in Tangerang, Indonesia. The design process utilized free resources such as Google Maps, Solar Edge Designer, and Global Solar Atlas to determine site’s solar irradiation. The data was subsequently fed into own-developed UPH Off-Grid Solar Calculator to get required equipment’s specifications. The system was implemented and monitored through cloud using IoT-based data logger. The logs were then analyzed and visualized through a dashboard developed using Ms. Power BI. Observations of the results showed a stable system with adaptive energy production averaging 1.6 kWh daily, sufficient to meet average daily loads of 0.9 kWh for 2 hydroponic systems and 1 aquaponic system during local rainy season. The system has capacity for future expansion to support loads up to 3.84 kWh daily. The solar power system reduces carbon emissions by 313.7 kg per year compared to the use of coal-based grid power for existing rooftop farming system.

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Publication Details

Journal
E3S Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/e3sconf/202565001014
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and implementation of off-grid solar power system for rooftop farming in Tangerang, Indonesia

Reinhard Pinontoan, Dwi Heri Yulian, Rianto Mangunsong, Henri P. Uranus
E3S Web of Conferences
IoT-based Smart Home Systems
article

Design and implementation of off-grid solar power system for rooftop farming in Tangerang, Indonesia

Reinhard Pinontoan, Dwi Heri Yulian, Rianto Mangunsong, Henri P. Uranus
article en

Abstract

This paper presents the design and implementation of a solar power system for rooftop farming in a building located in Tangerang, Indonesia. The design process utilized free resources such as Google Maps, Solar Edge Designer, and Global Solar Atlas to determine site’s solar irradiation. The data was subsequently fed into own-developed UPH Off-Grid Solar Calculator to get required equipment’s specifications. The system was implemented and monitored through cloud using IoT-based data logger. The logs were then analyzed and visualized through a dashboard developed using Ms. Power BI. Observations of the results showed a stable system with adaptive energy production averaging 1.6 kWh daily, sufficient to meet average daily loads of 0.9 kWh for 2 hydroponic systems and 1 aquaponic system during local rainy season. The system has capacity for future expansion to support loads up to 3.84 kWh daily. The solar power system reduces carbon emissions by 313.7 kg per year compared to the use of coal-based grid power for existing rooftop farming system.

E3S Web of ConferencesVol. 650
Pelita Harapan University (ID)
Openalex Percentile: Top 72%
IoT-based Smart Home Systems
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