Design and analysis of stand-alone hydrogen energy systems with different renewable sources

“…The value of the various parameters is given in table 1 in order to apply the mathematical model to Bahia Negra district. The values obtained for the cost of electricity for both scenarios can be considered high compared with those calculated in other studies of distributed power for isolated communities from a fuel cell [21,22,20,23]. However, in situations such as the one studied here, the supply of electricity to isolated communities with low living standards and in developing countries, the usual to assess the feasibility of an energy proposal based solely on the comparison and quantification in monetary terms of procedure costs and benefits is not the most appropriate.…”

Section: Economic Assessmentmentioning

confidence: 77%

A Paraguayan Case Study on the Production of Electricity from Fuel Cells for Distributed Generation

Espínola¹

2014

IJEPE

View full text Add to dashboard Cite

Abstract:The result of a preliminary economic evaluation of distributed generation of electricity with a molten carbonate fuel cell (MCFC) in Paraguay is presented in this work. For this purpose, a mathematical model that represents the main technical and economic characteristics involved in the operation of MCFCs was applied. The model is applied in a horizon of 20 years and shows how costs are influenced by the projected energy demand increase of the studied population and by the decrease of MCFC unit cost due to technological advances and mass production. The studied population is Bahía Negra district in the department of Alto Paraguay. The results show that the generation cost of electricity by MCFC is high, US$ 290/MWh and US$ 270/MWh, for conservative and optimistic scenarios, respectively. However, in these situations, the feasibility analysis of electricity supply to isolated communities with low living standards and in developing countries based only on the comparison and quantification in monetary terms is not enough. This is because there are intangible benefits that are difficult to quantify and, therefore, to express in monetary terms. For example, it is very difficult to quantify in monetary terms the improvements in environmental conditions and quality of life of the community. Finally, the use of fuel cells for distributed generation of electricity in rural areas of Paraguay is feasible if the social and environmental aspects are considered, not just economics.

show abstract

“…The hourly weather and load data for a representative year are used as inputs for its period being assumed long enough to design stand-alone power systems (Celik, 2003;Protogeropoulos et al, 1997;Muselli et al, 1999). The performance of the renewable component such as the PV array and the wind generator is predicted with the hourly weather data and the characteristics of the component (Muselli et al, 1999;Santarelli et al, 2004). The proposed acid lead battery model is simple but accurate for simulating the battery's different operations under the hybrid energy system (Sukamongkol et al, 2002).…”

Section: Calculation Of the Objectivesmentioning

confidence: 99%

“…The design optimization aims to seek the optimal system configuration with low total system cost, low wasted energy rate, and high autonomy level. The weather data, the load profile, and the characteristics of the renewable components, used by Santarelli et al (2004), may be used to design the hybrid PV-wind power system, for they have been used for the research of the hydrogen energy stand-alone systems with different renewable sources. The PV array and the wind generator output profiles, for every hour of the operation along one complete year, are shown in Figure 1.…”

Section: Applicationsmentioning

confidence: 99%

Design and techno-economical optimization for stand-alone hybrid power systems with multi-objective evolutionary algorithms

Shi

Zhu

Guang-yi

2007

Int. J. Energy Res.

View full text Add to dashboard Cite

SUMMARYThe optimal design of the hybrid energy system can significantly improve the economical and technical performance of power supply. However, the problem is formidable because of the uncertain renewable energy supplies, the uncertain load demand, the nonlinear characteristics of some components, and the conflicting techno-economical objectives. In this work, the optimal design of the hybrid energy system has been formulated as a multi-objective optimization problem. We optimize the techno-economical performance of the hybrid energy system and analyse the trade-offs between the multi-objectives using multi-objective genetic algorithms. The proposed method is tested on the widely researched hybrid PVwind power system design problem. The optimization seeks the compromise system configurations with reference to three incommensurable techno-economical criteria, and uses an hourly time-step simulation procedure to determine the design criteria with the weather resources and the load demand for one reference year. The well-known efficient multi-objective genetic algorithm, called NGAS-II (the fast elitist non-dominated sorting genetic algorithm), is applied on this problem. A hybrid PV-wind power system has been designed with this method and several methods in the literature. The numerical results demonstrate that the proposed method is superior to the other methods. It can handle the optimal design of the hybrid energy system effectively and facilitate the designer with a range of the design solutions and the trade-off information. For this particular application, the hybrid PV-wind power system using more solar panels achieves better technical performance while the one using more wind power is more economical.

show abstract

Design and analysis of stand-alone hydrogen energy systems with different renewable sources

Cited by 147 publications

References 9 publications

A Norwegian case study on the production of hydrogen from wind power

A Norwegian case study on the production of hydrogen from wind power

A Paraguayan Case Study on the Production of Electricity from Fuel Cells for Distributed Generation

Design and techno-economical optimization for stand-alone hybrid power systems with multi-objective evolutionary algorithms

Contact Info

Product

Resources

About