Aging effects on modelling and operation of a photovoltaic system with hydrogen storage

Ceran, Bartosz; Mielcarek, Agata; Hassan, Qusay; Teneta, Janusz; Jaszczur, Marek

doi:10.1016/j.apenergy.2021.117161

Cited by 46 publications

(17 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…f pv is the photovoltaic system power drop factor. It indicates the ratio of the actual output power to the rated power under the reference conditions of the PV system, and its value reflects the degree of power reduction caused by aging, stains, rain, and so on [36]. G t is the solar intensity at time t, and the unit is W/m 2 .…”

Section: Wind/photovoltaic/hydrogen Storage Power System Modelmentioning

confidence: 99%

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

Liu¹,

Liu²

2023

Energy Engineering

View full text Add to dashboard Cite

The optimal allocation of integrated energy system capacity based on the heuristic algorithms can reduce economic costs and achieve maximum consumption of renewable energy, which has attracted many attentions. However, the optimization results of heuristic algorithms are usually influenced by the choice of hyperparameters. To solve the above problem, the particle swarm algorithm is introduced to find the optimal hyperparameters of the heuristic algorithms. Firstly, an integrated energy system consisting of the photovoltaic, wind turbine, electrolysis cell, hydrogen storage tank, and energy storage is established. Meanwhile, the minimum economic cost, the maximum wind and PV power consumption rate, and the minimum load shortage rate are considered to be the objective functions. Then, a hybrid method combined the particle swarm combined with non-dominated sorting genetic algorithms-II is proposed to solve the optimal allocation problem. According to the optimal result, the economic cost is 6.3 million RMB, and the load shortage rate is 9.83%. Finally, four comparative experiments are conducted to verify the superiority-seeking ability of the proposed method. The comparative results indicate that the proposed method possesses a stronger merit-seeking ability, resulting in a solution satisfaction rate of 87.37%, which is higher than that of the unimproved non-dominated sorting genetic algorithms-II.

show abstract

Section: Wind/photovoltaic/hydrogen Storage Power System Modelmentioning

confidence: 99%

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

Liu¹,

Liu²

2023

Energy Engineering

View full text Add to dashboard Cite

show abstract

“…The relation between the components degradation is very complicated and usually depends on many factors and typically is not considered in the system analysis. 23 Economically, TNPC of PV system TNPC pv ð Þ consists of the investment cost (I pv ) and net present value of the operation and main-…”

Section: Pv Modulementioning

confidence: 99%

“…It is worthwhile to mention that the temperature impact on the PV power and PV degradation rate have been ignored. The relation between the components degradation is very complicated and usually depends on many factors and typically is not considered in the system analysis 23 …”

Section: Modelingmentioning

confidence: 99%

Techno‐economic optimization of a hybrid system composed of pumped hydro storage, photovoltaic module, and diesel generator in a multi‐objective framework

Bagherdoost,

Askarzadeh

2023

Env Prog and Sustain Energy

View full text Add to dashboard Cite

Hybridization of photovoltaic (PV) module (as a non‐dispatchable resource), diesel generator (as a dispatchable source), and pumped hydro storage (PHS) (as an energy storage) can provide a promising hybrid energy system (HES). The main outlook of the present study is to develop an efficient multi‐objective framework for optimal design of an off‐grid PV/diesel/PHS HES in which a wide range of parameters related to PHS system is optimized. In the optimization framework, nine decision variables (number of PV modules, number of diesel generators, reservoir installation height, reservoir depth, reservoir diameter, pump's rated power, turbine's rated power, charge pipe diameter, and discharge pipe diameter) are optimized with respect to two objective functions: total net present cost (TNPC) and loss of power supply probability (LPSP). To determine how TNPC is affected by the change of the input variables, a sensitivity analysis is conducted by varying capital cost of PV, PHS, and diesel generator. To obtain a well‐distributed and widely spread Pareto front, a multi‐objective chaotic crow search algorithm (MO‐CCSA) is introduced. Simulation results show that at LPSP = 0% and 5%, levelized cost of energy is around 0.59 and 0.55 $/kWh, respectively. Moreover, variation of the PV capital cost has a significant impact on the TNPC value.

show abstract

“…Self-consumption and self-sufficiency are defined [29][30][31][32] as the overlapping part of the load profiles and the generation part.…”

Section: Energy Self-consumption (E Sc ) and Energy Self-sufficiency (E Ss )mentioning

confidence: 99%

Self-Consumption and Self-Sufficiency Improvement for Photovoltaic System Integrated with Ultra-Supercapacitor

Hassan

Jaszczur

2021

Energies

Self Cite

View full text Add to dashboard Cite

This research study uses a computer simulation based on real input data to examine the impact of a supercapacitor module working as a fast response energy storage unit in renewable energy systems to increase energy self-consumption and self-sufficiency. The evaluated system includes a photovoltaic system with a capacity of 3.0 kWp and between 0 and 5 supercapacitor units with a capacity of 500 F per module. The study was carried out using experimental data for electrical load, solar irradiance, and ambient temperature for the year 2020, with a 1 min temporal resolution. The daily average ambient temperature was 10.7 °C, and the daily average solar irradiance was 3.1 kWh/m2/day. It is assumed that the supercapacitor could only be charged from a photovoltaic system using renewable energy and not from the grid. The simulation results showed that using the supercapacitors to feed the short and large peaks of the electrical load significantly increases energy self-consumption and self-sufficiency. With only five supercapacitor modules, yearly energy self-sufficiency increases from 28.09% to 40.77%.

show abstract

Aging effects on modelling and operation of a photovoltaic system with hydrogen storage

Cited by 46 publications

References 68 publications

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

Techno‐economic optimization of a hybrid system composed of pumped hydro storage, photovoltaic module, and diesel generator in a multi‐objective framework

Self-Consumption and Self-Sufficiency Improvement for Photovoltaic System Integrated with Ultra-Supercapacitor

Contact Info

Product

Resources

About