Optimal designing of PV-diesel generator-based system using HOMER software

Muskan, .; Channi, Harpreet Kaur

doi:10.1016/j.matpr.2023.01.053

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…We will choose here as a case study a location in the south of Morocco, namely the city of Essaouira, since this region has a large wind deposit and a good annual solar deposit as well. For the optimization [21], [22] of our installation, we will use a software solution that is no longer presented in the field of optimization of hybrid systems, it is HOMER [23].…”

Section: Optimization Of the Sizing Of The Hybrid Systemmentioning

confidence: 99%

Ecological impact due to the implementation of a modeled and optimized hybrid system

Echarradi

Benlafkih

Hadjoudja

et al. 2023

IJECE

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<span lang="EN-US">This paper presents a very alarming forecasts about our future and particularly for a medium and long-term future. That is to say, several actions are being carried out by different civil and state parties to deal with these very concrete threats. And it is within this framework that this paper fits, and its objective is to highlight the hybrid systems and more precisely the photovoltaic-wind hybrid systems coupled with storage batteries, as an efficient alternative to the classical means of electricity production. This work will adopt a method of obtaining results called performance evaluation, so this manuscript will present firstly the mathematical model of this hybrid system to best conceive what it is about, then as second part will determine the exact figures of the largest amount of carbon dioxide (CO<sub>2</sub>) that can be avoided using this technology and following a precise methodology, this can be applied to our situation, i.e., a simple house or to any other type of installation.</span>

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Section: Optimization Of the Sizing Of The Hybrid Systemmentioning

confidence: 99%

Ecological impact due to the implementation of a modeled and optimized hybrid system

Echarradi

Benlafkih

Hadjoudja

et al. 2023

IJECE

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“…Due to the influence of structures and local terrain, the average wind flow of a zone should be determined using the wind speed and wind direction characteristics instead of the local area [27]- [30]. Here, wind pace at 10 m elevation is obtained from 1/1/20 to 12/31/21 for each day.…”

Section: Wind Speed Parametersmentioning

confidence: 99%

Potential Assessment of Solar and Wind in Himachal Pradesh, India

Laledia,

Channi

2023

J. Phys.: Conf. Ser.

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India is second in population with 1.3 billion people in 2022. A large population means a huge electricity consumption. Renewable energy—hydropower, solar, wind, etc.—supplies 37% of India’s power requirement in 2021. Coal, crude oil, nuclear power, natural gases, and others make up the rest. Due to continued exploitation of conventional resources, we have had to develop and convert to renewable energy alternatives. Solar and wind power are among the easiest and cheapest green energy sources. Thus, we must promote eco-friendly energy production to reduce pollution and greenhouse gases. In Khajjiar, Himachal Pradesh, solar panels and wind turbines may provide green energy. Based on the results of the optimization, the best solution is to use parts with an NPC of $41,338. Table 9 shows that the proposed system needs 7 kW of PV panels, a 1.9 kW converter, and a 10 kW battery. The levelized COE of the proposed system is $0.65, and the OC is $1047.

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Forecasting solar irradiation using convolutional long short-term memory and feature selection of data from neighboring locations

Hong,

Martinez

2024

Sustainable Energy, Grids and Networks

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Optimal designing of PV-diesel generator-based system using HOMER software

Cited by 8 publications

References 29 publications

Ecological impact due to the implementation of a modeled and optimized hybrid system

Ecological impact due to the implementation of a modeled and optimized hybrid system

Potential Assessment of Solar and Wind in Himachal Pradesh, India

Forecasting solar irradiation using convolutional long short-term memory and feature selection of data from neighboring locations

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