Chapter 2 Potential wind energy in Turkmenistan
-
K. Saryyev
Abstract
While Asia as a continent has enjoyed nearly 40% of the total installed wind energy capacity, the contribution of some countries in the region is less significant. Turkmenistan as an important oil and gas producing country is a major exporter of electricity in Central Asia. The country has an enormous potential for wind and solar energy development overshadowed by its wealth of oil and gas. When choosing a region for the designing of wind installations, it is imperative to take special attention to the nature of the wind. This mainly refers to high spatial and temporal irregularities, as well as wind variability. With the correct determination of the wind energy potential, it is possible to solve the energy, economic, environmental and social issues of the country. Moreover, there is an opportunity to mitigate climate change on wind power plants basis, and their resources, environmental benefits, goals and objectives on the scientific methodological basis in the field of wind power for the implementation of state programs on energy saving in Turkmenistan and energy supply of the region. On the basis of the performed scientific work, wind energy resources and environmental potentials in the territory of Turkmenistan have been determined, and a database has been created for the compilation of a wind energy cadaster.
Abstract
While Asia as a continent has enjoyed nearly 40% of the total installed wind energy capacity, the contribution of some countries in the region is less significant. Turkmenistan as an important oil and gas producing country is a major exporter of electricity in Central Asia. The country has an enormous potential for wind and solar energy development overshadowed by its wealth of oil and gas. When choosing a region for the designing of wind installations, it is imperative to take special attention to the nature of the wind. This mainly refers to high spatial and temporal irregularities, as well as wind variability. With the correct determination of the wind energy potential, it is possible to solve the energy, economic, environmental and social issues of the country. Moreover, there is an opportunity to mitigate climate change on wind power plants basis, and their resources, environmental benefits, goals and objectives on the scientific methodological basis in the field of wind power for the implementation of state programs on energy saving in Turkmenistan and energy supply of the region. On the basis of the performed scientific work, wind energy resources and environmental potentials in the territory of Turkmenistan have been determined, and a database has been created for the compilation of a wind energy cadaster.
Chapters in this book
- Frontmatter I
- Contents V
- List of authors VII
- Chapter 1 Use of digital systems in the design system of photovoltaic solar stations 1
- Chapter 2 Potential wind energy in Turkmenistan 21
- Chapter 3 Potential of using biogas technology in Turkmenistan 31
- Chapter 4 Energy efficiency 45
- Chapter 5 Latent renewable energy in Turkmenistan 57
- Chapter 6 Approximate stochastic simulation algorithms 67
- Chapter 7 The role of supply chain management in the construction industry 95
- Chapter 8 Selection of threshold in binary graphs of biological networks 121
- Chapter 9 Model selection criteria with bootstrap algorithms: applications in biological networks 133
- Chapter 10 Technocracy in Governance: new directions in city functioning and urban planning 149
- Chapter 11 Outlier detection in biomedical data: ECG-focused approaches 161
- Chapter 12 Optimization of debt collection strategies for South African banks with machine learning models 183
- Chapter 13 Performance of six turbulence models in predicting two-phase flow on a hydraulic test bench 209
- Index 231
Chapters in this book
- Frontmatter I
- Contents V
- List of authors VII
- Chapter 1 Use of digital systems in the design system of photovoltaic solar stations 1
- Chapter 2 Potential wind energy in Turkmenistan 21
- Chapter 3 Potential of using biogas technology in Turkmenistan 31
- Chapter 4 Energy efficiency 45
- Chapter 5 Latent renewable energy in Turkmenistan 57
- Chapter 6 Approximate stochastic simulation algorithms 67
- Chapter 7 The role of supply chain management in the construction industry 95
- Chapter 8 Selection of threshold in binary graphs of biological networks 121
- Chapter 9 Model selection criteria with bootstrap algorithms: applications in biological networks 133
- Chapter 10 Technocracy in Governance: new directions in city functioning and urban planning 149
- Chapter 11 Outlier detection in biomedical data: ECG-focused approaches 161
- Chapter 12 Optimization of debt collection strategies for South African banks with machine learning models 183
- Chapter 13 Performance of six turbulence models in predicting two-phase flow on a hydraulic test bench 209
- Index 231
