Winds of Change: Social Inequalities and Economic Consequences of Wind Energy in the Isthmus of Tehuantepec | Chapter 9 | Science and Technology: Developments and Applications Vol. 9

This study examines the socioeconomic and environmental impacts of wind energy development in the Istmo of Tehuantepec, Mexico, focusing on the municipalities of La Venta (Juchitán) and Santo Domingo Ingenio. Through a comparative analysis of census data from 2,251 households, we assess disparities in employment, land ownership, and economic benefits derived from wind farms. Key findings reveal that: (1) Santo Domingo Ingenio exhibits higher wind turbine density (1–3 turbines per household) and male-dominated employment compared to La Venta; (2) only 11.69% of La Venta’s Gross Local Product (GLP) stems from wind farms, with businesses (38.59%) and services (27.16%) dominating the local economy; and (3) land lease conflicts and marginalization persist, exacerbated by opaque negotiations and unequal benefit distribution. The study highlights how neoliberal policies and transnational investments perpetuate social inequalities, despite wind energy’s potential for regional development. We argue that equitable frameworks—centered on community participation, transparent land agreements, and local manufacturing—are critical to reconciling renewable energy goals with social justice in marginalized regions.

 

Author (s) Details

 

Amira María García-Martínez
Calzada Porfirio Díaz # 803 c.p. 68050, Oaxaca de Juárez, Oaxaca, Secretaría de Educación Pública, Mexico.

 

Silvia Olivia Ramírez-Martínez
Avenida Ing. Víctor Bravo Ahuja No. 125 Esquina Calzada Tecnológico, C.P. 68030, Oaxaca de Juárez, Oaxaca, Tecnológico Nacional de México / Instituto Tecnológico de Oaxaca, Mexico.

 

Esteban López-Vázquez
Avenida Ing. Víctor Bravo Ahuja No. 125 Esquina Calzada Tecnológico, C.P. 68030, Oaxaca de Juárez, Oaxaca, Tecnológico Nacional de México / Instituto Tecnológico de Oaxaca, Mexico.

 

Guillermo Quero-Ramírez
Avenida Ing. Víctor Bravo Ahuja No. 125 Esquina Calzada Tecnológico, C.P. 68030, Oaxaca de Juárez, Oaxaca, Tecnológico Nacional de México / Instituto Tecnológico de Oaxaca, Mexico.

 

Cristóbal Ramírez-Salinas
Avenida Ing. Víctor Bravo Ahuja No. 125 Esquina Calzada Tecnológico, C.P. 68030, Oaxaca de Juárez, Oaxaca, Tecnológico Nacional de México / Instituto Tecnológico de Oaxaca, Mexico.

 

Jesús Elías Narváez-Pascual
Avenida Ing. Víctor Bravo Ahuja No. 125 Esquina Calzada Tecnológico, C.P. 68030, Oaxaca de Juárez, Oaxaca, Tecnológico Nacional de México / Instituto Tecnológico de Oaxaca, Mexico.

 

Edgar Alberto Cortés-Jiménez
Avenida Ing. Víctor Bravo Ahuja No. 125 Esquina Calzada Tecnológico, C.P. 68030, Oaxaca de Juárez, Oaxaca, Tecnológico Nacional de México / Instituto Tecnológico de Oaxaca, Mexico.

 

Brenda García-Jarquín
Avenida Ing. Víctor Bravo Ahuja No. 125 Esquina Calzada Tecnológico, C.P. 68030, Oaxaca de Juárez, Oaxaca, Tecnológico Nacional de México / Instituto Tecnológico de Oaxaca, Mexico.

 

Marbella Sánchez -Soriano
Abasolo S/N, Barrio del Agua Buena, 68230 Oaxaca, Tecnológico Nacional de México, Instituto Tecnológico del Valle de Etla, Mexico.

 

Fernando Adrihel Sarubbi -Baltazar
Abasolo S/N, Barrio del Agua Buena, 68230 Oaxaca, Tecnológico Nacional de México, Instituto Tecnológico del Valle de Etla, Mexico.

 

Vicelia Girón-Laces
Avenida Ing. Víctor Bravo Ahuja No. 125 Esquina Calzada Tecnológico, C.P. 68030, Oaxaca de Juárez, Oaxaca, Tecnológico Nacional de México / Instituto Tecnológico de Oaxaca, Mexico.

 

 

Aurelio Jimenez-Hernandez
Abasolo S/N, Barrio del Agua Buena, 68230 Oaxaca, Tecnológico Nacional de México, Instituto Tecnológico del Valle de Etla, Mexico.

 

Please see the book here:- https://doi.org/10.9734/bpi/stda/v9/5227

Investigating Advanced Metaheuristic Algorithms for Economic-Emission Load Dispatch of a Diesel-Solar-Wind Microgrid | Chapter 6 | Science and Technology - Recent Updates and Future Prospects Vol. 5

 

The microgrid system can be identified as a localised power generation infrastructure designed to serve a small region for continuous and reliable power supply. The growing emphasis on environmental sustainability has led to the optimal sizing of all connected renewable and conventional microgrid units such that the power is allocated to non-emitting renewable energy sources primarily.  Economic Load Dispatch (ELD) involves determining the optimal sizing of generation units, with the objective of minimizing generation costs.  The inclusion of the emission minimization objective into the ELD problem transforms it into the bi-objective EconomicEmission Load Dispatch problem. Metaheuristic approaches are found to be the most efficient to solve the EELD problem. Consideration of realistic aspects such as VPL, transmission losses and hourly dynamic load conditions makes EELD a challenging optimization problem. This article explores advanced metaheuristic methods to address EELD problem and proposes the application of the African Vulture Optimization Algorithm (AVOA) to solve EELD problem of the diesel-wind-solar microgrid. AVOA is then used to solve EELD of an islanded diesel-wind-solar microgrid modelled on field data of a location in Jaisalmer, India. The African Vulture Optimization Algorithm (AVOA) mimics the vulture’s food-seeking behaviour and navigation phenomena with efficient exploration and exploitation capabilities.  AVOA’s ability to solve EELD problem is initially confirmed on three different-sized test systems of 10, 6 (IEEE30-bus), and 40 units prior to applying it to the microgrid case. To establish the efficacy of AVOA, its performance is compared with other established and advanced methods like SSA, GA, GWO, WOA, MFO, SAR, QTLBO, MOEA/D etc. Apart from the performance criteria like cost, emission, convergence etc; the feasibility of the approaches is further assessed by a novel index named as Viability Score formulated using three main selected criteria. Results of statistical data tests like ANOVA, Wilcoxon and robustness establish the statistical reliability of AVOA solving EELD in microgrid. Further, a multi-comparison post-hoc TukeyHSD test is introduced for statistical comparison of AVOA with other methods more explicitly. Results find AVOA most efficient method with 5.25% and 33.09% reduction in cost and emission respectively as compared to its next competitive method in solving EELD on microgrid (all sources), which is remarkable.

Author(s) Details:

Shilpa Mishra
Department of Electrical Engineering, Indian Institute of Technology, Jodhpur, 342030, India.

Abdul Gafoor Shaik
Department of Electrical Engineering, Centre for Emerging Technologies for Sustainable Development, Centre of IoT & Applications, Indian Institute of Technology, Jodhpur, 342030, India.

Please see the link here: https://stm.bookpi.org/STRUFP-V5/article/view/14884

Application of Life-Cycle Assessment to Evaluate the Carbon and Water Footprints of a Wind Farm in Villonaco, Loja, Ecuador | Chapter 6 | Theory and Applications of Engineering Research Vol. 5

The development of cleaner and efficient energy technologies and the use of new renewable energy sources will play an important role in the sustainable development of a future energy strategy. Wind technology is considered to be among the most promising types of renewable energy sources, and due to high oil prices and growing concerns about climate change and energy security, it has been the subject of extensive considerations in recent years, including questions related to the relative sustainability of electricity production when the manufacturing, assembly, transportation and dismantling processes of these facilities are taken into account. The capacity of new wind power installations worldwide increased by a value of 93 GW, representing a growth of 53% compared to 2019. The present article evaluates the environmental impacts, carbon emissions and water consumption, derived from the production of electric energy from the Villonaco wind farm, located in Loja, Ecuador, during its entire life cycle, using the Life Cycle Analysis for this purpose. Finally, it is concluded that wind energy has greater environmental advantages since it has lower values of carbon and water footprints than other energy sources. Additionally, with the techniques of Cumulative Energy Demand and Energy Return on Investment, sustainability in the production of electricity from wind power in Ecuador is demonstrated; and, that due to issues of vulnerability to climate change, the diversification of its energy mix is essential considering the inclusion of non-conventional renewable sources such as solar or wind, this being the only way to reduce both the carbon footprint and the water from the energy supply.

Author(s) Details:

Alberto Tama,
UCMA, Universitat Carlemany, Sant Julià de Lòria, Andorra.

Please see the link here: https://stm.bookpi.org/TAER-V5/article/view/13297

Study about Wind Energy Map of Arabian Gulf: Advantages and Challenges | Chapter 9 | Novel Perspectives of Geography, Environment and Earth Sciences Vol. 9

The main goals of this episode are to create wind energy map of Arabian Gulf established statistical study of long term dossier. Sustainable development is attainable by use of sustainable energy and by guaranteeing access to inexpensive, reliable, tenable, and modern strength for citizens. Wind power is the change of wind energy into a useful form of strength, such as utilizing wind turbines to make power, windmills for mechanical capacity, wind pumps for water pumping or drainage, or sails to throw ships. This paper is on the wind strength resource chance over Arabian Gulf waters, covering 2300 gridiron points. The data usable with Coastal Information System data base at Kuwait Institute for Scientific Research, Kuwait, from 1979 to 2015 is secondhand. Electricity consumption in GCC nations increased expeditiously during the last three decades not only in certain terms, but still in terms of its agree total energy demand. From the dossier sources, the frequency distribution and power mass were determined. The wind power bulk was assessed by fitting the Weibull frequency distribution function to the wind speed data. The examination is conducted at elevations of 10, 30, and 50 meters. The Weibull shape limit k varies from 2.5 to 3 at the northward and central of the Arabian Gulf. The annual mean wind power bulk over Arabian Gulf Waters is the highest in the main region of the Gulf. The capacity density at 10 m, 30 m and 50 m center height varies middle 200 to 300 w/m2, 200 to 300 w/m2 and more than 300 w/m2 individually. Since the Arabian Gulf's core domain falls inside the Wind Energy Resource Atlas of the United States' Class 2 category, it is attractive to develop big wind power generation skilled at elevations of 30 or 50 meters. Since air conditioning methods utilize plenty power in the vacation, the wind power density is specifically appealing in the middle region of the Arabian Gulf (Saudi Arabia, Bahrain, and Qatar).

Author(s) Details:

Khaled Al-Salem,
Coastal Management Program, Environment and Life Sciences Research Center, Kuwait.

S. Neelamani,
Coastal Management Program, Environment and Life Sciences Research Center, Kuwait.

Waleed Al-Nassar,
Renewable Energy Program, Energy and Building Research Centre, Kuwait.

Please see the link here: https://stm.bookpi.org/NPGEES-V9/article/view/11630

Estimating the use of Distributed Electricity Generation Technologies in Tourism Industry | Chapter 7 | Challenging Issues on Environment and Earth Science Vol. 7

Because of their environmental and economic benefits, distributed power generating technologies are becoming more widely used in a variety of industries around the world. The current study's goal is to look at how these technologies, which use either fossil fuels or renewable energies, are used in the hotel business, as well as their characteristics, benefits, and downsides. Several distributed electricity generation technologies being investigated, including co-generation of heat and power systems. For electricity generation, some of them use renewable energies such as solar, wind, and biomass. Others are linked to different co-generation technologies, such as fuel cells. Many hotels have requirements. Technologies have the advantage of being able to meet practically all of a person's needs in terms of both electricity and heat. Solar photovoltaic energy, cogeneration systems, wind turbines, and fuel cells are all examples of distributed electricity generation technologies that are already in use in hotels. Their energy efficiency ranges from ten percent to ninety percent. Renewable energy technologies produce carbon-free electricity, whereas natural gas-fueled technologies produce electricity with low carbon emissions. Technology has benefits and downsides, and the use of each technology is dependent on the hotel's characteristics as well as the availability of renewable energy supplies in the area. The findings of this study are significant for the hotel industry because they show that they can use environmentally friendly distributed electricity generation technologies to meet their electricity and, in some cases, heating needs, reducing their carbon footprint and increasing their energy and environmental sustainability.

Author (S) Details

Dr. Ioannis S. Vourdoubas
Hellenic Mediterranean University, Estavromenos, 107 B, El. Venizelou Str. 71410, Heraklion, Crete, Greece.


View Book :- https://stm.bookpi.org/CIEES-V7/article/view/3059

 

Recent Study on Multi-objective Pareto Based Optimal Placement and Sizing of Solar PV and Wind Generation System | Chapter 14 | Advanced Aspects of Engineering Research Vol. 11

 The right location and sizing of distributed generation is required to prevent power loss and improve the voltage profile of the power system. Two common distributed generation methods are solar photovoltaic (PV) and wind energy. In this chapter, the authors describe a unique multi-objective pareto-based technique for analysing the best placement and scaling of solar PV and wind production systems in a radial distribution system. A 33-bus distribution system will be used to test the constructed algorithm. The ideal position is found by establishing a DG source at each bus and satisfying the objective function. The maximum amount of solar PV and wind DG power injections for the distribution system studied has been identified, taking into account system limits, beyond which pumping electricity to the grid is technically and economically beneficial. The Jaya method is used to determine the best size for PV and wind systems. The system was also tested by first installing the solar PV and wind generation systems individually, then combining them. Three-dimensional charts are used to tabulate and visualise the data.

Author (s) Details

M. S. Giridhar
Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy college of Engineering, Mylavaram, India.

P. Sobha Rani
Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy college of Engineering, Mylavaram, India.

View Book : https://stm.bookpi.org/AAER-V11/article/view/1259

An Integration of Microgrid with Hybrid Renewable Enrgy System and Mitigation of Power Quality Issues | Chapter 14 | Advanced Aspects of Engineering Research Vol. 10

 This chapter demonstrates a microgrid control strategy that integrates wind, photovoltaic (PV), and energy storage (ESS) systems using converters such as MI CUK or SEPIC. Renewable energy sources can produce an erratic output voltage, which will cause the machines to fail. As a result, an energy storage device (ESS) is used to reduce the unpredictability of output voltage. The control strategies and comparative analysis with various converters such as MI CUK and SEPIC converters are demonstrated in this chapter. Mechanical torque can be produced by a wind turbine, and this torque is supplied to PMSM. Mechanical energy is converted to electrical energy by the PMSM. The micro grid may be more stable if it has the option of being connected to the grid or running in island mode. In order to ensure that the micro grid's infrastructure is not subjected to harmful levels of power quality phenomena that do not exist in the national energy grid, the power reliability of micro grids in island operation must be investigated. One of the power material phenomenon is total harmonic distortion (THD) and its individual harmonic components.

Author (s) Details

V. V. S. Narayana Yirrinki
Department of Electrical and Electronics Engineering, S R K R Engineering College (A), Bhimavaram, India

M. Sai Veerraju
Department of Electrical and Electronics Engineering, S R K R Engineering College (A), Bhimavaram, India

View Book :- https://stm.bookpi.org/AAER-V10/article/view/763

Efficiency of High-Altitude Wind Turbines in the Andes: Air Density and Turbulence Effects | Chapter 5| New Ideas Concerning Science and Technology Vol. 3

 Wind power is one of the most important solutions to producing green and sustainable energy. The number of wind farms in South America has largely increased over the last decade. Qollpana is just one example of a wind farm situated over complex terrain at 2900 metres above sea level. The air density is decreased by 40 percent relative to sea level due to the high altitude, and the topographic characteristics cause a high level of turbulence. The wind farm in Qollpana has two 1.5 MW and eight 3 MW wind turbines with an installed capacity of 27 MW, and this project is critical for the implementation of more wind farms at high altitudes in the Andes. The primary results showed that October is the month with the highest average wind speed, and the lowest is February. This study analyses the wind farm's capacity factor, the air density and the impact of turbulence on wind turbine performance as well. The key results show that the wind farm's monthly capacity factor ranges from 0.08 to 0.67. In addition, the results showed an important effect of turbulence strength on the performance of the turbine. These findings, however, are only true for the time studied and we are still working on the region's mesoscale and microscale meteorology to improve awareness and the certainty of wind turbine performance.

Author (S) Details

Rober Mamani
Aero-Thermo-Mechanics Department, Université Libre de Bruxelles, Avenue F.D. Roosevelt 50, CP 165/41, Brussels, 1050, Belgium and San Simon University, Centro de Investigaciones en Energía, Cochabamba, 2500, Bolivia.

Norbert Hackenberg
German International Cooperation (GIZ), Wind Energy Advisor to Electric Company ENDE-CORANI, Cochabamba, 2500, Bolivia.

Patrick Hendrick
San Simon University, Centro de Investigaciones en Energía, Cochabamba, 2500, Bolivia.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/349