Techno-Economic Optimization of a Hybrid PV-Wind-Battery Energy System for Adaptive Melon Greenhouse Using Priority-Based Load Management and HOMER Pro

Greenhouse automation requires reliable power; a load profile mismatched to available renewables inflates generation, storage and capital costs. This study assessed how priority-based load management affects demand, component sizing and initial cost of a hybrid renewable energy system for a 200 m² melon greenhouse in Trenggalek, East Java. HOMER Pro simulations, using Indonesian prices, compared three scenarios: PV-battery and PV-wind-battery at full load, and PV-wind-battery with priority-based load shedding. Loads were classed critical (pumps, sensors), semi-critical (fans) or flexible (night lighting). Load shedding cut daily consumption from 5.00 to 3.24 kWh (35.2%) and peak load from 1.06 to 0.76 kW (28.3%). Scenario three required 2.00 kW PV, three LiFePO4 batteries (3 kWh total), a 1.00 kW wind turbine and 1.00 kW converter, costing about $1,079.85. Relative to scenario one, PV and converter capacities halved and battery units fell 57.1%. Load prioritisation can therefore reduce demand, component size and capital cost.

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Publication Details

Journal
Progress in Energy and Environment
Published
2026-11-03
DOI
https://doi.org/10.37934/progee.32.4.112
Primary Topic
Hybrid Renewable Energy Systems
Type
article
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article

Techno-Economic Optimization of a Hybrid PV-Wind-Battery Energy System for Adaptive Melon Greenhouse Using Priority-Based Load Management and HOMER Pro

Singgih Dwi Prasetyo, Haura Zeeba Karima, Kresna Bayu Setiyoadi, Irfan Amri Balia Malqan et al.
Progress in Energy and Environment
Hybrid Renewable Energy Systems
article

Techno-Economic Optimization of a Hybrid PV-Wind-Battery Energy System for Adaptive Melon Greenhouse Using Priority-Based Load Management and HOMER Pro

Singgih Dwi Prasetyo, Haura Zeeba Karima, Kresna Bayu Setiyoadi, Irfan Amri Balia Malqan, Muhammad Alwan Thirafi Daniswara
article en

Abstract

Greenhouse automation requires reliable power; a load profile mismatched to available renewables inflates generation, storage and capital costs. This study assessed how priority-based load management affects demand, component sizing and initial cost of a hybrid renewable energy system for a 200 m² melon greenhouse in Trenggalek, East Java. HOMER Pro simulations, using Indonesian prices, compared three scenarios: PV-battery and PV-wind-battery at full load, and PV-wind-battery with priority-based load shedding. Loads were classed critical (pumps, sensors), semi-critical (fans) or flexible (night lighting). Load shedding cut daily consumption from 5.00 to 3.24 kWh (35.2%) and peak load from 1.06 to 0.76 kW (28.3%). Scenario three required 2.00 kW PV, three LiFePO4 batteries (3 kWh total), a 1.00 kW wind turbine and 1.00 kW converter, costing about $1,079.85. Relative to scenario one, PV and converter capacities halved and battery units fell 57.1%. Load prioritisation can therefore reduce demand, component size and capital cost.

Progress in Energy and EnvironmentVol. 32(4)
State University of Malang (ID)
Openalex Percentile: Top 26%
Hybrid Renewable Energy Systems
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