Multi-objective mathematical programming for optimally sizing and managing battery energy storage for solar photovoltaic system integration of a multi-apartment building

Amorosi, Lavinia; Cedola, Luca; Dell'Olmo, Paolo; Lucchetta, Francesca

doi:10.1080/0305215x.2020.1853715

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…[17]. Another research is on optimizing the size and arrangement of solar photovoltaic energy storage batteries in multi-apartment buildings using multi-objective Mix Integer Linear Programming [3]. In addition, there is also research on the optimization of Levelized Cost of Energy (LCOE) on a solar rooftop photovoltaic system using 7 scenarios of government policies in fish storage refrigeration warehouses in Indonesia [31].…”

Section: Linear Programmingmentioning

confidence: 99%

Benefit Optimization and Energy - Economy Environmental Analysis of Solar Rooftop Photovoltaic System at Industrial Segment in Indonesia

Permadi¹,

Dachyar²

2022

TEM Journal

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This study aims to compare 4 scenarios of solar rooftop photovoltaic system technology that is used in the industrial segment in two different locations in Indonesia. Comparisons were made using energy, economic and environmental analysis methods and continued with optimization using linear programming methods. The results of the study show that scenario 2 solar photovoltaic system can produce more electrical energy and CO2 that can be reduced than in the other scenarios. While scenario 4 solar photovoltaic system is a scenario with better economic value and optimal benefits value than the other scenarios.

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Section: Linear Programmingmentioning

confidence: 99%