Optimisation of hybrid off-grid energy systems by linear programming

Huneke, Fabian; Henkel, Johannes; González, Jairo Alberto Benavides; Erdmann, Georg

doi:10.1186/2192-0567-2-7

Cited by 64 publications

(31 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chedid and Rehman [29] proposed an optimal design of wind-solar hybrid system using this technique to minimize the cost of electricity while meeting the load requirements in a reliable manner along with considering environmental factors. Huneke et al [30] used linear programming to obtain optimal configuration for a solar-wind-battery-diesel based power generator combination for two real off-grid energy systems in India and Colombia. The optimization results for both studies show the feasible combination of PV-battery and diesel generator.…”

Section: Linear Programming Techniquementioning

confidence: 99%

See 1 more Smart Citation

Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems

Sinha

Chandel

2015

Renewable and Sustainable Energy Reviews

448

151

View full text Add to dashboard Cite

Section: Linear Programming Techniquementioning

confidence: 99%

“…[29][30][31][32][33][34] system and compared results with HOMER software and concluded that GA has better accuracy than HOMER. Shadmand and Balog [49] presented Multi-Objective Genetic Algorithm (MOGA) to determine the PV-wind hybrid system design, optimized by considering multiple criteria including size, cost, and availability.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems

Sinha

Chandel

2015

Renewable and Sustainable Energy Reviews

448

151

View full text Add to dashboard Cite

“…In a double for loop for the given range of i and j, is calculated for each pair of i and j for the observed period n using expression (10) and taking into account expressions (1)- (9). The obtained matrix of LOLP i,j related to tested i and j is searched for values that are smaller than requested LOLP SET .…”

Section: Description Of the Simplified Modelmentioning

confidence: 99%

“…Merei et al in [8] introduced optimization model of the off-grid hybrid power system for supply of telecommunication base station where they investigated combination of three different battery technologies. Huneke et al, in [9] used linear programming for optimization of hybrid off-grid energy systems. There are many other researches related to optimization and sizing of PV systems such as [10][11][12][13][14][15] and [16].…”

Section: Introductionmentioning

confidence: 99%

Simplified Model for Optimal Sizing of the Off-Grid PV System Regarding Value of Loss of Load Probability

Topić

Knežević

Kosić³

et al. 2018

Teh. vjesn.

View full text Add to dashboard Cite

In this paper, a simplified model for optimal sizing of the off-grid PV system regarding value of loss of load probability is described. The model gives optimal size of system in terms of required number of PV modules, peak power, number of batteries and cost of system regarding the defined value of loss of load probability, load curve and period for which optimal size will be determined. The model is applied for determination of optimal size of the off-grid PV system for the city of Osijek. Based on measured load curve, optimal size of the system is determined for values of loss of load probability from 0.00 to 0.10 in steps of 0.01, and additionally for 0.15.

show abstract

“…The model based on Chebyshev polynomials in two steps for short-term dynamics [8]. Huneke et al [9] used the linear programming to obtain an optimal configuration for a combination of generator with wind power -solar energy -battery-diesel for two real powers except for network systems in India and Colombia. The results of optimization for both studies show the possible combination of cells-PV-and diesel generator.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of predicted demand on energy production

Kafazi

Bannari

Aboutafail

2018

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Abstract. Energy is crucial for human life, a secure and accessible supply of power is essential for the sustainability of societies. Economic development and demographic progression increase energy demand, prompting countries to conduct research and studies on energy demand and production. Although, increasing in energy demand in the future requires a correct determination of the amount of energy supplied. Our article studies the impact of demand on energy production to find the relationship between the two latter and managing properly the production between the different energy sources. Historical data of demand and energy production since 2000 are used. The data are processed by the regression model to study the impact of demand on production. The obtained results indicate that demand has a positive and significant impact on production (high impact). Production is also increasing but at a slower pace. In this work, Morocco is considered as a case study. IntroductionThe energy demand should increase considerably in the coming years because of the increase of the population and the economic development (EIA, on 2007). Gradually as economics spend some concept of subsistence to that of industrial production or services, the lifestyles of numerous individuals will know of deep changes. The main increases of energy demand will be the fact of the developing countries where the percentage of the world consumption of energy should cross 46 to 58 percent between 2004 and 2030 (EIA, on 2007. It is planned that the energy consumption in developing countries will increase at an annual average rate of 3 percent between 2004 and 2020. In industrialized countries, where the state economies are mature and the population growth should be relatively weak, the energy demand will progress more slowly at the 0, 9 percent rate a year, although the starting point is much higher. The increase of the world demand for 2030 will be attributable in the electricity production and the fifth at the needs for transport, in particular in the form of petroleumbased fuels (EIA on 2007). The electrical energy can be an important element of any strategy wished to improve the environment provided that the consequences at the level of his production are mastered. Literature reviewThere are various types of conventional and no conventional sources of energy used for electrical power production. The system of solar and wind energy is one of the most important sources of energy. The exploitation of solar and wind energy became more and more necessary because of the nature modular and favorable to the environment [1]. The modeling of energy demand can follow either the approach with a variation of time or the approach with fixed coefficients. Nevertheless, he can be necessary to estimate the underlying statistical behavior of the parameters of energy demand before any significant inference. Z.

show abstract

Optimisation of hybrid off-grid energy systems by linear programming

Abstract: Background: In this study, a general model of a hybrid off-grid energy system is developed, which can be adjusted to reflect real conditions in order to achieve economical and ecological optimisation of off-grid energy systems.

Cited by 64 publications

References 7 publications

Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems

Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems

Simplified Model for Optimal Sizing of the Off-Grid PV System Regarding Value of Loss of Load Probability

The impact of predicted demand on energy production

Contact Info

Product

Resources

About