Multiobjective Optimization of a Hybrid Wind/Solar Battery Energy System in the Arctic

Nguyen, Thanh-Tuan; Boström, Tobias

doi:10.1155/2021/8829561

Cited by 9 publications

(4 citation statements)

References 15 publications

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“…Optimizing a hybrid renewable energy system consisting of WT/PV and battery, this device is big to meet the needs of just only one house [22]. This research is good because it takes into account the unstable weather changes so that it requires a fairly large device.…”

Section: Discussion Of Results Influence Of Seasons On Energy Generat...mentioning

confidence: 99%

Analysis of the season effect on energy generated from hybrid PV/WT in Malang Indonesia

Irawan

Wirawan

Ikawanty

et al. 2022

EEJET

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This research is about the effect of seasons on the energy produced by hybrid solar photovoltaic (PV) and wind turbines (WT). This study measures the amount of energy produced by the hybrid from PV/WT for 24 hours/day for a full year. The weather in Indonesia changes every day, with this change, the energy produced by PV/WT hybrids also changes. Data collection was carried out in the city of Malang, Indonesia. The results showed that there are two seasons, namely the dry season and the rainy season. The dry season is from May to October and the rainy season is from November to April. Between the two seasons there is a transition period, namely May and November. Transition time is a month whose weather follows the dry season and the rainy season. The results of research using PV energy generators of 100 WP and 500 Watt WT show that there is a significant effect on the energy produced by PV/WT hybrids between the dry season and the rainy season. The total energy in the dry season is 78.296 Wh and in the rainy season it is 43,790 Wh. The energy ratio of the dry season to the rainy season is 1.7:1. Total energy every month in the dry season is between 11,242 Wh to 14,174 Wh and for the rainy season is between 5,821 Wh to 10,677 Wh. The ratio of the highest to the lowest monthly energy is 2.4:1. The total energy per day in one year is between 88 Wh to 477 Wh. The daily energy ratio from the highest to the lowest is 5.4:1. This research data is very important because energy data for one year can be used as a reference and basis for designing hybrid PV/WT energy plants. This can be used as a basis for designing loads that match the generator capacity for a period of one year and also designing the capacity requirements of energy storage devices. The results of this study can also be used by other countries that have seasons such as Indonesia

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Section: Discussion Of Results Influence Of Seasons On Energy Generat...mentioning

confidence: 99%

Analysis of the season effect on energy generated from hybrid PV/WT in Malang Indonesia

Irawan

Wirawan

Ikawanty

et al. 2022

EEJET

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show abstract

“…So, system sizing should be optimized by considering the cost and reliability of the system. A multi-objective optimization approach, namely, PSO was used to design an optimal design of a hybrid wind turbine/PV/battery energy system for a household application by comprehensively investigating the effects of various factors on the cost-reliability relations [124]. Ekren et al introduced a statistical and mathematical method called response surface methodology (RSM) to explore the relationships of the design parameters such as the PV size, wind turbine rotor swept to the hybrid system cost of an autonomous PV/wind integrated hybrid energy system with battery storage [125].…”

Section: Optimization and Enhanced Wind Energy Harvesting: A Hybrid M...mentioning

confidence: 99%

Wind Energy Harvesting and Conversion Systems: A Technical Review

et al. 2022

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Wind energy harvesting for electricity generation has a significant role in overcoming the challenges involved with climate change and the energy resource implications involved with population growth and political unrest. Indeed, there has been significant growth in wind energy capacity worldwide with turbine capacity growing significantly over the last two decades. This confidence is echoed in the wind power market and global wind energy statistics. However, wind energy capture and utilisation has always been challenging. Appreciation of the wind as a resource makes for difficulties in modelling and the sensitivities of how the wind resource maps to energy production results in an energy harvesting opportunity. An opportunity that is dependent on different system parameters, namely the wind as a resource, technology and system synergies in realizing an optimal wind energy harvest. This paper presents a thorough review of the state of the art concerning the realization of optimal wind energy harvesting and utilisation. The wind energy resource and, more specifically, the influence of wind speed and wind energy resource forecasting are considered in conjunction with technological considerations and how system optimization can realise more effective operational efficiencies. Moreover, non-technological issues affecting wind energy harvesting are also considered. These include standards and regulatory implications with higher levels of grid integration and higher system non-synchronous penetration (SNSP). The review concludes that hybrid forecasting techniques enable a more accurate and predictable resource appreciation and that a hybrid power system that employs a multi-objective optimization approach is most suitable in achieving an optimal configuration for maximum energy harvesting.

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“…The energy demand is increasing exponentially and rapidly depleting, which in turn affects the potential balance between future energy generation and its demand. The energy produced by conventional means increases greenhouse gas emissions [1,2]. The environmental scenario is present in both developing and underdeveloped countries.…”

Section: Introductionmentioning

confidence: 99%

Design analysis of hybrid solar-wind renewable energy systems using water strider optimization

2024

Phys. Scr.

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Hybrid energy systems (HES) have the potential to reduce global warming and provide an affordable alternative to provide electricity access to remote regions. This paper proposes an optimal design of HES using water strider optimisation (WSO) with multi-objective parameters. A selection of appropriate components, sizing, radius index, pitch control, and battery bank size for a HES system is optimised with the WSO algorithm. The objective is to provide cost-efficient, dependable, and alternative energy optimisation in various load demand conditions. The designed parameters, including a battery bank of 2.5 kWh to 800 kWh, a solar photovoltaic (PV) array size of 50 kW to 300 kW in terms of load demand, a 2-axis tracking PV system with an area of 12 m2, and a wind turbine (WT) with a swept area of 22 m2 and a hub height of 12.3 m, make up an optimized HES. The single-family energy demand in India is the topic of this study, with a lifespan of 20 to 30 years.

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Multiobjective Optimization of a Hybrid Wind/Solar Battery Energy System in the Arctic

Cited by 9 publications

References 15 publications

Analysis of the season effect on energy generated from hybrid PV/WT in Malang Indonesia

Analysis of the season effect on energy generated from hybrid PV/WT in Malang Indonesia

Wind Energy Harvesting and Conversion Systems: A Technical Review

Design analysis of hybrid solar-wind renewable energy systems using water strider optimization

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