A diesel replacement strategy for off-grid systems based on progressive introduction of PV and batteries: An Indonesian case study

Rodríguez-Gallegos, Carlos D.; Gandhi, Oktoviano; Bieri, Monika; Reindl, Thomas; Panda, Sanjib Kumar

doi:10.1016/j.apenergy.2018.08.019

Cited by 45 publications

(13 citation statements)

References 24 publications

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“…Shezan et al [20] used the HOMER Pro ® software tool to conduct a study in a solitary rural region of KLIA Sepang Station in the Malaysian state of Selangor, employing a configuration of PV/DG/WT/LA battery technology to lower the system's NPC. Carlos et al [21] used GA-based algorithms to analyze how to power an Indonesian island with PV/DG/Li-Ion battery technologies.…”

Section: Literature Review On Optimization Techniques and Different B...mentioning

confidence: 99%

Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context

Kumar¹,

Nuvvula²,

et al. 2022

Energies

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A significant portion of the Indian population lives in villages, some of which are located in grid-disconnected remote areas. The supply of electricity to these villages is not feasible or cost-effective, but an autonomous integrated hybrid renewable energy system (IHRES) could be a viable alternative. Hence, this study proposed using available renewable energy resources in the study area to provide electricity and freshwater access for five un-electrified grid-disconnected villages in the Odisha state of India. This study concentrated on three different kinds of battery technologies such as lithium-ion (Li-Ion), nickel-iron (Ni-Fe), and lead-acid (LA) along with a diesel generator to maintain an uninterrupted power supply. Six different configurations with two dispatch strategies such as load following (LF) and cycle charging (CC) were modelled using nine metaheuristic algorithms to achieve an optimally configured IHRES in the MATLAB© environment. Initially, these six configurations with LF and CC strategies were evaluated with the load demands of a low-efficiency appliance usage-based scenario, i.e., without demand-side management (DSM). Later, the optimal configuration obtained from the low-efficiency appliance usage-based scenario was further evaluated with LF and CC strategies using the load demands of medium and high-efficiency appliance usage-based scenarios, i.e., with DSM. The results showed that the Ni-Fe battery-based IHRES with LF strategy using the high-efficiency appliance usage-based scenario had a lower life cycle cost of USD 522,945 as compared to other battery-based IHRESs with LF and CC strategies, as well as other efficiency-based scenarios. As compared to the other algorithms used in the study, the suggested Salp Swarm Algorithm demonstrated its fast convergence and robustness effectiveness in determining the global best optimum values. Finally, the sensitivity analysis was performed for the proposed configuration using variable input parameters such as biomass collection rate, interest rate, and diesel prices. The interest rate fluctuations were found to have a substantial impact on the system’s performance.

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Section: Literature Review On Optimization Techniques and Different B...mentioning

confidence: 99%

Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context

Kumar¹,

Nuvvula²,

et al. 2022

Energies

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“…42 Hence, the disposal cost needs to be subtracted, and this circumstance also applies to other components in the HPS. The detailed PV array cost calculation formula is as follows, 11,25,42…”

Section: Bi-objective Optimizationmentioning

confidence: 99%

“…where c mot cap and c mot dis denote the unit capital investment cost and unit disposal cost of motor and P mot denotes the rated power of motor. O&M cost of motor is not considered 11…”

Section: Bi-objective Optimizationmentioning

confidence: 99%

Bi-objective optimization for a plug-in PV/battery system of an unmanned patrol boat

Wang

Chen

Liang

2022

Proceedings of the Institution of Mechanical Engineers, Part M:

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Plug-in photovoltaics (PV)/battery power systems attract increasing interest due to their merits in zero fuel consumption and zero local emission. However, current optimization for the plug-in PV/battery power system only considers a single objective of minimizing lifecycle cost, which may result in increased lifecycle greenhouse gas (GHG) emission due to electricity generation from coal in some areas. The paper therefore proposes a bi-objective optimization methodology to find out an optimal trade-off between lifecycle cost and GHG emission. Non-dominated sorting genetic algorithm II is developed to explore the Pareto solution sets. An unmanned patrol boat is considered as a study case. Simulation results show that the optimal design from the bi-objective optimization gains a 12.6% reduction in lifecycle cost and a 53.8% reduction in GHG emission when compared with the conventional power system consisting of diesel engines and generators. Moreover, the optimal design achieves a 46.3% reduction in GHG emission compared with the single-objective one aimed at minimum lifecycle cost, which at the same time increases the lifecycle cost by just 0.6%. Besides, two variables (the number of PV array and the number of battery modules) are found to be the most sensitive to the contradiction between lifecycle cost and GHG emission.

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“…In addition, b 0 [%] is the initial PV degradation, while b 1 [%/year] is the yearly degradation rate (where y is the analyzed year). [45][46][47] The other losses presented in a PV installation (e.g., shading, ohmic wiring losses, module mismatch, etc.) are combined and represented by the l [%] parameter.…”

Section: Energy Generation Modelingmentioning

confidence: 99%

Global Techno-Economic Performance of Bifacial and Tracking Photovoltaic Systems

Rodríguez-Gallegos

Liu

Gandhi

et al. 2020

Joule

Self Cite

122

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This work performs a comprehensive techno-economic analysis worldwide for photovoltaic systems using a combination of bifacial modules and single-and dual-axis trackers. We find that single-axis trackers with bifacial modules achieve the lowest LCOE in the majority of locations (16% reduction on average). Yield is boosted by 35% by using bifacial modules with single-axis trackers and by 40% in combination with dual-axis trackers.

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A diesel replacement strategy for off-grid systems based on progressive introduction of PV and batteries: An Indonesian case study

Cited by 45 publications

References 24 publications

Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context

Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context

Bi-objective optimization for a plug-in PV/battery system of an unmanned patrol boat

Global Techno-Economic Performance of Bifacial and Tracking Photovoltaic Systems

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