А. Давлетьяров, A. Ибраев, Е. Ербаев, Е. Джаналиев · 8 authors
ABSTRACT: The article addresses the pressing issue of limited access to centralized energy supply for peasant and farm enterprises in the West Kazakhstan region, which significantly hinders the efficient operation of agricultural production. This problem is especially critical for the development of livestock farming, irrigation, and water supply systems in remote and hard-to-reach rural areas. The absence of reliable and continuous electricity sources negatively affects technological processes, increases operational costs, and reduces the overall sustainability and productivity of the agricultural sector. In this context, particular attention is given to the organization of autonomous energy supply systems based on renewable energy sources, primarily wind energy, to support groundwater extraction from wells used for domestic, drinking, and agricultural purposes.An analysis of the wind potential of the Republic of Kazakhstan demonstrates favorable conditions for the development of small-scale wind energy as a cost-effective and environmentally sustainable solution for decentralized power supply. It is shown that low-capacity wind energy installations designed to operate at low wind speeds (3–5 m/s) can efficiently drive pumping systems, ensuring stable groundwater lifting under rural conditions. The study substantiates the selection of a low-speed horizontal-axis multi-blade wind turbine as the most suitable configuration for such applications.A comparative analysis of the energy performance of different wind turbine types is conducted, focusing on the relationship between the power coefficient and the tip speed ratio. Based on the obtained results, the optimal geometric parameters of the rotor blades are determined, contributing to improved energy efficiency and operational reliability. The findings of the study can be applied in the design and implementation of autonomous wind-powered water supply systems for agricultural enterprises and the agro-industrial sector.
This chapter examines the convergence of immersive technologies, decentralized finance (DeFi), and digital transformation in reshaping the operational and financial foundations of the renewable energy sector, with particular emphasis on wind turbine systems. In an ideal sustainable energy ecosystem, advanced digital tools, transparent financing mechanisms, and intelligent infrastructure operate in harmony to optimize performance, ensure safety, and accelerate investment in green energy. Such a system is expected to integrate virtual and augmented reality for skill development and maintenance, Internet of Things (IoT)-driven analytics for real-time monitoring, and decentralized platforms for inclusive project financing. However, despite rapid technological progress, contemporary renewable energy systems remain constrained by fragmented digital adoption, centralized funding structures, regulatory uncertainty, and limited technological accessibility. Existing studies on smart grids, digital twins, and immersive training platforms highlight efficiency gains in turbine design and maintenance, while blockchain-based research emphasizes DeFi’s potential in peer-to-peer energy financing. Yet, these research streams largely evolve in isolation, offering limited insight into their systemic integration. Moreover, prior work rarely addresses how immersive technologies and decentralized finance jointly influence operational resilience and financial sustainability. Addressing this gap, the chapter develops an integrative conceptual framework grounded in digital ecosystem theory and decentralized governance models. Through critical synthesis and analytical evaluation, it demonstrates how coordinated deployment of virtual reality/augmented reality, IoT analytics, and DeFi platforms can enhance performance optimization, democratize investment, and strengthen trust in renewable energy systems. The findings provide strategic guidance for policymakers, utilities, and investors seeking to advance scalable and sustainable energy transitions.
The decoupling of energy prices from fossil fuel is slowly making its way as investment is poured into renewable energy sources. Small Island Developing States are gaining in both stability and cost from this momentum but face threat from the same unsustainable centralization practices. A decentralized framework is proposed for Small Island Developing States aimed at achieving grid stability and in attracting independent financing mechanisms. This framework is applied from a Wind perspective and to ensure replicability on all types of terrains, and the model is analysed through three case studies: high-rise buildings, flat terrains and Gaussian terrains. This study provides a novel framework and a general solution for Wind farming over different terrain layouts including forbidden regions and complex topography.