Prioritizing of wind farm locations for hydrogen production: A case study

Rezaei-Shouroki, Mostafa; Mostafaeipour, Ali; Qolipour, Mojtaba

doi:10.1016/j.ijhydene.2017.02.072

Cited by 83 publications

(60 citation statements)

References 48 publications

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“…In addition, it must be in an area with a minimum chance of sudden disasters like powerful bursts of wind and floods which affect the performance of wind turbines [77]. Therefore, it is very important to select an ideal site where it would have a constant flow of wind throughout the year.…”

Section: Climate Conditions (Tf3)mentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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Pakistan has sufficient wind energy potential across various locations of the country. However, so far, wind energy development has not attained sufficient momentum matching its potential. Amongst various other challenges, the site selection for wind power development has always been a primary concern of the decision-makers. Principally, wind project site selection decisions are driven by various multifaceted criteria. As such, in this study, a robust research framework comprising of factor analysis (FA) of techno-economic and socio-political factors, and a hybrid analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) have been used for the prioritization of sites in the southeastern region of Pakistan. The results of this study reveal economic and land acquisition as the most significant criteria and sub-criteria, respectively. From the eight different sites considered, Jamshoro has been prioritized as the most suitable location for wind project development followed by Hyderabad, Nooriabad, Gharo, Keti Bandar, Shahbandar, Sajawal, and Talhar. This study provides a comprehensive decision support framework comprising of FA and a hybrid AHP and Fuzzy TOPSIS for the systematic analysis to prioritize suitable sites for the wind project development in Pakistan.

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Section: Climate Conditions (Tf3)mentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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“…Hosseini et al 18 investigated the new hydrogen production technologies and showed that hydrogen from supercritical water gasification of biomass is the most cost-effective thermochemical process. Ozcan et al 20 presented an analysis and performance assessment for the study of the solarpowered Mg-Cl cycle of hydrogen production using energy and exergy methods. Ozcan et al 20 presented an analysis and performance assessment for the study of the solarpowered Mg-Cl cycle of hydrogen production using energy and exergy methods.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Ramazankhani et al 19 prioritized the various provinces of Iran to produce hydrogen through electrolysis of water using a geothermal source. Ozcan et al 20 presented an analysis and performance assessment for the study of the solarpowered Mg-Cl cycle of hydrogen production using energy and exergy methods. Due to the input of solar heat, the overall energy and exergy efficiencies of the system were found to be 18.8% and 19.9%, respectively.…”

Section: Figurementioning

confidence: 99%

Investigation of solar energy utilization for production of hydrogen and sustainable chemical fertilizer: A case study

Mostafaeipour

Sedeh

2019

Int J Energy Res

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Summary Renewable energies play a vital role in the economic and social development and progress of many countries. As one of the most significant sources of renewable energy, solar energy has been used due to its availability in many regions. Generating electricity for hydrogen production is one of the applications of solar energy. In petrochemical complexes, hydrogen is often used for producing fertilizers, especially urea fertilizers. The present study aims at investigating five major Iranian petrochemical complexes in terms of their suitability for the construction of a solar plant to produce electrolysis‐based green chemical fertilizers. To this end, a multicriteria decision‐making model is proposed, which includes the fuzzy analytic hierarchy process (AHP) and extended TODIM method of multicriteria decision making (including crisp, interval, and fuzzy numbers). The present research investigates 10 criteria for prioritizing petrochemical complexes, classified into four general categories, namely, climatic, geographic, environmental, and probability of natural disaster occurrence categories. Having calculated the weight of the criteria using the fuzzy AHP method, the alternatives are prioritized using the extended TODIM method. The methods of simple additive weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and VIKOR were then used for validation of the results. Results showed that the Shiraz Petrochemical Complex has the highest priority and Khorasan Petrochemical Complex has the lowest priority for producing green fertilizer via solar energy–assisted water electrolysis. By using the solar system, Shiraz Petrochemical Complex can emit over 1900 tons less pollutants in the environment per day and provides up to 8% of its annual total production through clean energy.

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“…The adsorption-diffusion process is highly relevant in many physical, chemical and environmental natural and industrial processes (Dąbrowski, 2001). Several engineering problems such as pollutant removal (Xu et al, 2017, andKyzas andMatis, 2015), heterogeneous catalysis (Oh et al 2016 andLatimer et al 2017), hydrogen storage and production (Dincer and Acar, 2015, Nikolaidis and Poullikkas, 2017, and Rezaei-Shouroki et al, 2017, driers and dehumidifiers (Burnett et al, 2015 and Bui et al, 201), and purification processes (Ardi et al, 2015, andPapathanasiou et al, 2016) involve adsorption-diffusion processes. As is well known, mathematical models, based on physical insights, are necessary to interpret the laboratory measurements obtained from controlled experiments or to describe the field data taken under real conditions.…”

Section: Introductionmentioning

confidence: 99%

Fractal continuum model for the adsorption-diffusion process

Herrera-Hernández

Aguilar-Madera

Ocampo-Pérez

et al. 2019

Chemical Engineering Science

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In this work, we present a mathematical model to describe the adsorption-diffusion process on fractal porous materials. This model is based on the fractal continuum approach and considers the scale-invariant properties of the surface and volume of adsorbent particles, which are wellrepresented by their fractal dimensions. The method of lines was used to solve the nonlinear fractal model, and the numerical predictions were compared with experimental data to determine the fractal dimensions through an optimization algorithm. The intraparticle mass flux and the mean square displacement dynamics as a function of fractal dimensions were analyzed. The results suggest that they can be potentially used to characterize the intraparticle mass transport processes.The fractal model demonstrated to be able to predict adsorption-diffusion experiments and jointly can be used to estimate fractal parameters of porous adsorbents.Av. Playa pie de la cuesta 702, Desarrollo San Pablo, Querétaro, Qro. 76125, Mexico, (+52) 4425590385, erik.herrera@cidesi.edu.mx dimension. Segars and Piscitelle (1996) used fractal theory to generalize the BET model by proposing a power-law parameter that quantifies the surface roughness. They interpret equilibrium data finding that the isothermic adsorption strongly depends on the fractal dimension, where 2 D > . Following the same idea, the effect of fractal dimension on the adsorption process was analyzed, which allowed for modifications to the Brunauer-Emmett-Teller equation to improve predictions (Aguerre et al., 1996, Khalili et al., 1997. Other work focused on improving the isotherm predictions was made by Kanô et al. (2000) who presented a model that generalizes both the Langmuir and Freundlich isotherms. Such a model is based on the fact that the adsorbing surface depends on the amount of adsorbed mass according to A M ζ ∼ , where / 3 D ζ = quantifies the irregularities of a presumable self-similar fractal surface. Along the same line of ideas, in (Wang et al., 2007, Longjun et al., 2008, and Selmi et al., 2018, the authors present fractal models through the modification of the classical equilibrium isotherms. In such works, they discuss and apply a fractal adsorption model obtained from the Langmuir and kinetics model where the geometric characteristics of the solute are linked to the surface's fractal dimension. Additionally, they report a power-law dependence of the effective reaction order with time.On the other hand, dynamic models to interpret the adsorption-diffusion process scarcely have changed from the classical descriptions commonly used for kinetic models (Qiu et al., 2009, Foo and Hameed, 2010, and Montagnaro and Balsamo, 2014 or diffusional models (Leyva-Ramos and Geankoplis 1994, Ocampo-Perez et al., 2010, Ocampo-Perez et al., 2013and Ocampo-Pérez et al., 2017. Such approaches do not consider long-term correlations and long-range interactions appearing in diffusion processes occurring on complex domains such as self-similar (or fractal) structures. The work of Sakaguchi (2005) inc...

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Prioritizing of wind farm locations for hydrogen production: A case study

Cited by 83 publications

References 48 publications

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

Investigation of solar energy utilization for production of hydrogen and sustainable chemical fertilizer: A case study

Fractal continuum model for the adsorption-diffusion process

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