Feasibility design and techno-economic analysis of hybrid renewable energy system for rural electrification

Murugaperumal, K.; Raj, P. Ajay-D-Vimal

doi:10.1016/j.solener.2019.07.008

Cited by 188 publications

(47 citation statements)

References 32 publications

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“…Lastly, as reviewed in [7], HRES sizing methods also include classical methods and software tools. For example, dynamic programming is used in [18], the HOMER software is applied in [19,20].…”

Section: Literature Reviewmentioning

confidence: 99%

Constraint multi-objective optimal design of hybrid renewable energy system considering load characteristics

Chen

Wang

Ming

et al. 2021

Complex Intell. Syst.

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Finding the optimal size of a hybrid renewable energy system is certainly important. The problem is often modelled as an multi-objective optimization problem (MOP) in which objectives such as annualized system cost, loss of power supply probability etc. are minimized. However, the MOP model rarely takes the load characteristics into account. We argue that ignoring load characteristics may be inappropriate when designing HRES for a place with intermittent high load demand. For example, in a training base the load demand is high when there are training tasks while the demand decreases to a low level when there is no training task. This results in an interesting issue, that is, when the loss of power supply probability is determined at a specific value, say 15%, then it is very likely that most of loss of power supply would occur right in the training period which is unexpected. Therefore, this study proposes a constraint multi-objective model to deal with this issue—in addition to the general multi-objective optimization model, the loss of power supply probability over a critical period is set as a constraint. Correspondingly, the non-dominated sorting genetic algorithm II with a relaxed $$\epsilon $$ ϵ constraint handling strategy is proposed to address the constraint MOP. Experimental results on a real world application demonstrate that the proposed model and algorithm are both effective and efficient.

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Section: Literature Reviewmentioning

confidence: 99%

Constraint multi-objective optimal design of hybrid renewable energy system considering load characteristics

Chen

Wang

Ming

et al. 2021

Complex Intell. Syst.

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“…natures. Instead, hybrid power generation in remote areas is a more cost-effective option as compared to grid connected [11]- [16]. Adding energy storage system (ESS) for bi-directional power flow allows the storage of excess energy during the day and sustains the intermittent and night-time load demand [17]- [19].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Sizing of Mini-Grid Hybrid Renewable Energy System for Islands

Tsai¹,

Beza²,

Molla³

et al. 2020

IEEE Access

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This paper aims to investigate the techno-economic feasibility analysis of stand-alone diesel system, stand-alone PV/storage system, PV/diesel hybrid system, PV/diesel/storage hybrid system for the Pratas island in Taiwan. The power supply of outlying islands in Taiwan still use fossil fuel generators. The fuel cost is higher than that of on shore of Taiwan, and it has a great impact on the environment. This problem can be mitigated by hybrid energy systems. Through the investigation to know the existing generator set and Photovoltaic (PV) operating status, load consumption, etc., the study collects the required data for statistical meteorological analysis and economic analysis, and uses Hybrid Optimization Models for Energy Resources (HOMER) to simulate techno-economics of the stated hybrid energy systems. The analysis contains the capital cost, net present cost (NPC), cost of energy (COE) and fuel saving in different capacities for each power supply system with different constraints. From the simulation results, the lowest COE is 0.3569 $/kWh that can be found at the PV/diesel hybrid system configuration scheme with a total PV system capacity of 200 kWp, the renewable fraction (RF) is 15.3% and the excess electricity fraction is 2.6%, which is lower than the generally acceptable 5%. Although the COE of PV/diesel/storage hybrid is higher than that of stand-alone diesel system, the annual total CO2 emissions is reduced by 31.63%, which is of great benefit to environmental protection. INDEX TERMS Cost of energy, distributed generation, energy storage, hybrid power system, mini-grid, renewable energy.

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“…The emphasis is on off-grid application of renewable energy since over 40% of Nigeria population has no access to the national grid [28]. The off-grid consideration has shown to be the most viable energy access solution for poor rural communities with low energy demand, disperse settlement and rugged terrain [29,30]. However, the need to match current proven energy conversion technologies with available energy resources in the poor rural communities has not been properly investigated.…”

Section: Introductionmentioning

confidence: 99%

Composite Multi-Criteria Decision Analysis for Optimization of Hybrid Renewable Energy Systems for Geopolitical Zones in Nigeria

et al. 2020

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This paper presents eight hybrid renewable energy (RE) systems that are derived from solar, wind and biomass, with energy storage, to meet the energy demands of an average household in the six geopolitical zones of Nigeria. The resource assessments show that the solar insolation, wind speed (at 30 m hub height) and biomass in the country range, respectively, from 4.38–6.00 kWh/m2/day, 3.74 to 11.04 m/s and 5.709–15.80 kg/household/day. The HOMER software was used to obtain optimal configurations of the eight hybrid energy systems along the six geopolitical zones’ RE resources. The eight optimal systems were further subjected to a multi-criteria decision making (MCDM) analysis, which considers technical, economic, environmental and socio-cultural criteria. The TOPSIS-AHP composite procedure was adopted for the MCDM analysis in order to have more realistic criteria weighting factors. In all the eight techno-economic optimal system configurations considered, the biomass generator-solar PV-battery energy system (GPBES) was the best system for all the geopolitical zones. The best system has the potential of capturing carbon from the atmosphere, an attribute that is desirous for climate change mitigation. The cost of energy (COE) was seen to be within the range of 0.151–0.156 US$/kWh, which is competitive with the existing electricity cost from the national grid, average 0.131 US$/kWh. It is shown that the Federal Government of Nigeria favorable energy policy towards the adoption of biomass-to-electricity systems would make the proposed system very affordable to the rural households.

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Feasibility design and techno-economic analysis of hybrid renewable energy system for rural electrification

Cited by 188 publications

References 32 publications

Constraint multi-objective optimal design of hybrid renewable energy system considering load characteristics

Constraint multi-objective optimal design of hybrid renewable energy system considering load characteristics

Analysis and Sizing of Mini-Grid Hybrid Renewable Energy System for Islands

Composite Multi-Criteria Decision Analysis for Optimization of Hybrid Renewable Energy Systems for Geopolitical Zones in Nigeria

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