A knowledge-based approach to the design of integrated renewable energy systems

Ramakumar, R.; Abouzahr, I.; Ashenayi, K.

doi:10.1109/60.182647

Cited by 140 publications

(47 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Concerning the behaviour simulation principle, we used a method identical to numerical methods utilized by Sidrach de Cardona and Mora Lopez (1992), Kaye (1994) and Ramakumar et al (1992) based on system energy balance and storage continuity equations. For this simulation, the battery charge e$ciency and the battery discharge e$ciency have a mean constant value of 85 per cent (Armenta, 1989;Oldham, 1992;Notton et al 1996) and the depth of discharge (DOD) is estimated at 30 per cent.…”

Section: Sizing Proceduresmentioning

confidence: 99%

Decentralized wind energy systems providing small electrical loads in remote areas

Notton

Muselli

Poggi

et al. 2001

Int. J. Energy Res.

View full text Add to dashboard Cite

SUMMARYUsing a global systemic approach, the wind energy system operation behaviour is "rst simulated using "ve di!erent types of power curve for the wind turbine. Adding physical (charge current limitation) and cost considerations, we have determined the optimized energy system for various levels of satisfaction (LLP), i.e. both able to satisfy the load with a certain percentage of the load not satis"ed and to o!er the lowest kWh cost. We studied the in#uences of the power pro"le of the wind turbine that a!ect productivity and the relative repartition between input power and output power and wasted energy. This wasted energy decreases rapidly with the value of the LLP.

show abstract

Section: Sizing Proceduresmentioning

confidence: 99%

Decentralized wind energy systems providing small electrical loads in remote areas

Notton

Muselli

Poggi

et al. 2001

Int. J. Energy Res.

View full text Add to dashboard Cite

show abstract

“…This model has been used in several studies for HRES optimization [12][13][14][15][16][17]. These studies take advantage of the LPM capabilities to stochastically perform reliability and economic analysis.…”

Section: Classical Techniquesmentioning

confidence: 99%

Optimizing Hybrid Renewable Energy Systems: A Review

Ghofrani¹,

Hosseini²

2016

Sustainable Energy - Technological Issues, Applications and Case Studies

View full text Add to dashboard Cite

With the fast progression of renewable energy markets, the importance of combining different sources of power into a hybrid renewable energy system (HRES) has gained more attraction. These hybrid systems can overcome limitations of the individual generating technologies in terms of their fuel efficiency, economics, reliability and flexibility. One of the main concerns is the stochastic nature of photovoltaic (PV) and wind energy resources. Wind is often not correlated with load patterns and may be discarded sometimes when abundantly available. Also, solar energy is only available during the day time. A hybrid energy system consisting of energy storage, renewable and nonrenewable generation can alleviate the issues associated with renewable uncertainties and fluctuations. Large number of random variables and parameters in a hybrid energy system requires an optimization that most efficiently sizes the hybrid system components to realize the economic, technical and designing objectives. This chapter provides an overview of optimal sizing and optimization algorithms for hybrid renewable energy systems as well as different objective functions considered for designing such systems.

show abstract

“…Hybrid energy systems are more attractive and chosen as alternative energy sources where the power supply needed area is far away from the non renewable energy sources [2][3][4]. Among them, some of the resources are highly stochastic and site-specific [5]. For example, wind is a site-specific energy source and also the wind velocity and speed could not be predicted because, which is always changing [6].…”

Section: Introductionmentioning

confidence: 99%

Performance of solar PV-fuel cell (FC) hybrid system for stand-alone applications

Dharunprasath¹,

Kaliappan²,

Emayavaramban³

2018

IJET

View full text Add to dashboard Cite

This paper presents the performance of a hybrid solar PV/ Fuel Cell/ FC system with a PMDC motor load. The hybrid system supplies power to the DC motor during day and night. In order to obtain continuous supply to the load, a control strategy is implemented in the system. By using this control strategy, the solar PV and the fuel cell supply the voltage to the load by getting constant supply from the DC link during day and night. The DC-DC interleaved soft switching boost converter (ISSBC) with Incremental conductance maximum power point tracking technique (INC MPPT) is used to maintain constant DC link voltage. When the power deficit happens in the solar PV, the hydrogen stored in the tank is used by the fuel cell stack and supplies power to the load. The entire system is modeled and the performance of the hybrid system is analyzed in MATLAB/Simulink environment.

show abstract

A knowledge-based approach to the design of integrated renewable energy systems

Cited by 140 publications

References 18 publications

Decentralized wind energy systems providing small electrical loads in remote areas

Decentralized wind energy systems providing small electrical loads in remote areas

Optimizing Hybrid Renewable Energy Systems: A Review

Performance of solar PV-fuel cell (FC) hybrid system for stand-alone applications

Contact Info

Product

Resources

About