Energy, exergy, economic and advanced and extended exergy analyses of a wind turbine

Ehyaei, M.A.; Ahmadi, Abolfazl; Rosen, Marc A.

doi:10.1016/j.enconman.2019.01.008

Cited by 112 publications

(54 citation statements)

References 54 publications

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“…These results are in concordance with Novak [69] and Randriambahoaka [70]. In contrast, solar photovoltaic (13%) and wind turbines (17%) are characterized by low CDP due to the low efficiency of wind and solar resource transformation into electricity [71][72][73], which is strongly dependent on the technological parameters (wind speed, photovoltaic panel surface area and materials, direct solar radiation, etc.). One of the main inconveniences of non-conventional renewable energy resources is the intermittency problems [74,75], which could carry out the instability of the energetic supply.…”

Section: Water-energy-land Nexus Efficiencysupporting

confidence: 86%

Evaluation of the Water–Energy–Land Nexus (WELN) Using Exergy-Based Indicators: The Chilean Electricity System Case

2019

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The competition and interlinkages between energy, water, and land resources are increasing globally and are exacerbated by climate change and a rapid increase in the world population. The nexus concept has emerged for a comprehensive understanding related to the management and efficiency of resource use. This paper assesses water-energy-land nexus (WELN) efficiency through integration of the principles of Life Cycle Assessment (LCA) and exergy analysis, using the Chilean energy sector (CES) as a study case. The cumulative exergy consumption (CExC) and cumulative degree of perfection (CDP) are used as indicators for WELN efficiency. The results show the production of 1 MWh of electricity required 17.3 GJ ex , with the energy component of WELN (fossil and renewable energy sources) being the main contributor (99%). Furthermore, the renewable energy technologies depicted higher CDP of the water-energy-land nexus due to lower CExC and higher technology efficiency concerning non-renewables. The water and land resources contributed slightly to total exergy flow due to low quality in comparison with the energy component. Nevertheless, water availability and competition for land occupation constitute important issues for reducing environmental pressures and local conflicts. This study demonstrated the feasibility of exergy analysis for the evaluation of WELN efficiency through a single indicator, which could facilitate the comparison and integration with different processes and multi-scales.Energies 2020, 13, 42 2 of 20The nexus concept is an systematic approach for improvement of resource management, which can reach high degrees of complexity depending on scales and processes [9]. Consequently, different qualitative and quantitative methods for conceptualizing the relationship between natural resources have been proposed. Ringler et al.[10] developed a comprehensive qualitative framework for assessing the water, energy, land and food nexus (WELF), highlighting the relevance of land in the nexus. Nevertheless, the authors did not provide methods for the WELN-nexus evaluation. Siciliano et al. [11] have recently reported on the effect of large scale farm investment in the European Union on the water-energy-land-food (WELF) nexus, using indicators related to resource availability, scarcity and access. Although the authors describe several interlinkages between the resources, the quantitative evaluation of the nexus is not clearly highlighted. Karabulut et al. [12] studied the ecosystem-water-food-land-energy (WFLE) nexus by considering the ecosystem as the main issue within this nexus. The authors highlightsthe relationship between interventions and environmental impacts. In this case, the nexus evaluation is qualitative, and the matrix proposed can be adapted to different scales to investigate the trade-offs, synergies and antagonisms.Different approaches have been used to quantitatively evaluate the WELN. Silalertruska and Gheewala [13] carried out the evaluation of the WELN of sugarcane production in Thailand, using wat...

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Section: Water-energy-land Nexus Efficiencysupporting

confidence: 86%

Evaluation of the Water–Energy–Land Nexus (WELN) Using Exergy-Based Indicators: The Chilean Electricity System Case

2019

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“…Exergy is a fundamental parameter for evaluating the performance of the power systems. In this field by computing the values of exergy destruction and irreversibility for various components, determining the optimal values for system design parameters becomes approachable (Behzadi et al 2018;Ehyaei et al 2019). The total exergy associated with a considered stream can be calculated as Eq (9). where Ex K and Ex P are kinetic and potential exergy, respectively (that in most of the case are ignored).…”

Section: Exergy Analysismentioning

confidence: 99%

Hybrid renewable energy systems for desalination

Esmaeilion¹

2020

Appl Water Sci

155

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Water and energy are two key factors in human life that always control the growth and development of human societies. Climate changes, increasing the population in urban areas and industrialization, have increased the demands for freshwater around the world. Estimates show that a small percentage of all freshwater produced in the world is from renewable sources. By developing the technology, lowering equipment prices and increasing attention to the environmental problems of fossil fuels, utilizing renewable energy is growing. By providing a wide variety of conventional desalination methods driven by various types of renewable energy technologies in the world, water and energy legislators should choose different methods to meet the needs based on the local potentials by paying attention to the desalination processes and power systems. In some cases, concentrated solar power for thermal desalination or electricity generated by the photovoltaic plants for membrane desalination systems can be used in arid areas. Definitely, the most problem of using renewable sources is their unsteady natures, which using storage systems or combining with other renewable sources can solve this problem. This chapter provides extensive information about renewables, desalination and performance analysis of power systems. Reverse osmosis technique is a practical process in desalination which 69% of desalination plants use this system. Solar energy is an important source of energy for hybrid systems. The geothermal has a steady performance at a specified depth. Ultimately, obtained results from energy and exergy analysis would have provided a better insight.

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“…In this study, C g , ɳ eOdf and ɳ O were assumed to be 0.4, 0.98 and 0.97 respectively. Given that wind turbines operate between cut in (v 3j ), rated (v 0 ) and cut out (v 4 ) wind speeds, the CF can also be estimated as follows (Diyoke, 2019;Ehyaei et al, 2019): The terms C and k represent Weibull speed and shape parameters respectively. They can be estimated as follows:…”

Section: Energy Analysismentioning

confidence: 99%

“…Besides the technical and economic assessment of wind energy potential, thermo-economic and advanced exergy analysis is also very crucial in the planning of wind farms. Although, there are some studies related to exergy or second law analysis of wind turbines across the world in the past decades (Aghbashlo et al, 2018;Allouhi, 2019;Bascut, Omer;Ozgener, Onder;Ozgener, 2010;Baskut & Ozgener, 2012;Baskut, Ozgener, & Ozgener, 2011;Ehyaei, Ahmadi, & Rosen, 2019;Hu, Liu, & Tan, 2019;Khalilzadeh & Hossein Nezhad, 2018;Ozgener & Ozgener, 2007;Pope, Dincer, & Naterer, 2010;Redha, Dincer, & Gadalla, 2011;Şahin, Dincer, & Rosen, 2006), however, no research until this date has attempted to study the thermo-economic and extended exergy analysis of wind turbines for distributed generation in Nigeria; which is very important from investment and sustainability point of view, thus necessitating this present analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Also, exergy analysis can help engineers to attain a more sustainable system by decreasing the exergy losses that occur during energy conversion processes. It has been suggested by many scholars that exergy analysis should be included in wind energy evaluations and assessments, to permit for more realistic modelling outcome (Aghbashlo et al, 2018;Bascut, Omer;Ozgener, Onder;Ozgener, 2010;Ehyaei, Ahmadi, & Rosen, 2019). Bascut, Omer;Ozgener, Onder & Ozgener, (2010) discussed the effects of several meteorological variables such as air density, pressure difference, humidity, and ambient temperature on exergy efficiency of a wind turbine and suggested that overlooking these meteorological variables when planning wind farms could lead to important errors in energy calculations and plans.…”

Section: Introductionmentioning

confidence: 99%

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Comparative thermo-economic and advanced exergy performance assessment of wind energy for distributed generation in four sites in Nigeria

Diyoke

2020

Int. J. Renew. Energy Dev.

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Electricity access and reliability in Nigeria is poor due to obsolete power distribution infrastructure. This could be improved by deploying wind energy resources. The present research assessed the thermo-economic, advanced and extended exergy analysis of deploying wind turbine for distributed generation in four Nigerian locations. The air temperature and wind speed of the sites was used together with Weibull statistical parameters to mathematically model the thermodynamic performance of selected wind turbine for the sites. The results show that the energy and standard exergy efficiency of the sites ranges from 0.16 – 0.44, 0.05 – 0.37, 0.23 –0.39, 0.26 – 0.37 and 0.12 –0.33, 0.04 – 0.25, 0.17 – 0.28, 0.18 – 0.28 respectively for Enugu, Kaduna, Katsina and Jos. The exergy efficiency based on the extended exergy analysis (EEA) approach was found to be much lower than the standard exergy efficiency for all the sites. Based on EEA, Enugu, Kaduna, Katsina and Jos has exergy efficiency of 1.05, 0.73, 2.52 and 3.22 % respectively. Economic performance results showed that Jos is the best site with least monthly average COE value of 0.15 $/kWh which compares closely with global average COE value of 0.14 $/kWh for households. Katsina and Enugu have a COE value of 0.19 and 0.84 $/kWh respectively while Kaduna is the worst in performance with highest COE value of 1.13 $/kWh. . ©2020. CBIORE-IJRED. All rights reserved

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Energy, exergy, economic and advanced and extended exergy analyses of a wind turbine

Cited by 112 publications

References 54 publications

Evaluation of the Water–Energy–Land Nexus (WELN) Using Exergy-Based Indicators: The Chilean Electricity System Case

Evaluation of the Water–Energy–Land Nexus (WELN) Using Exergy-Based Indicators: The Chilean Electricity System Case

Hybrid renewable energy systems for desalination

Comparative thermo-economic and advanced exergy performance assessment of wind energy for distributed generation in four sites in Nigeria

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