The following aspects of development have been identified based on the introspective approach: conditions for the sustainable development of hydropower, hydropower and ecology, hydropower and scientific and technical development, development of the social environment and human capital. On this basis, the conditions and principles of sustainable long-term development of the industry are determined. The analysis made it possible to formulate recommendations on targeted long-term proposals for the development of the industry in the areas analyzed.
In this article we consider the potential possibility of using renewable energy sources for the construction of transport infrastructure facilities of the Federal importance. We analyzed major promising projects for the construction of roads and bridges for the period until 2030 year, considered a step-by-step scheme for energy supply of a large facility, using the example of the Kerch bridge, and made an analysis of the potential usage of hybrid power plants based on renewable energy sources for the implementation of projects. We developed methodological approaches to the implementation of large-scale projects that would allow one to take into account not only economic efficiency, but all the positive effects that can be achieved from the project.
Service of supplying electricity to consumers in the Russian Federation (RF) is carried out based on power supply contract. Utilization of innovative technologies will allow to change the power supply service in the power-supply market. There is an opportunity to create unique powersuppling market approach. With implementation of “Smart meters” technology and Blockchains with “Smart Contract” functionality. The article describes innovative technologies and examines examples of their successful implementation in foreign countries. Article will also talk about tools that are required to replace old service with a new power supply system, based on innovative technologies that include small-scale renewable energy generation.
Knowledge of the nature of the energy load alterations not only in time, but also in space will allow achieving the optimal structure of energy sources in the city and thereby reducing unproductive energy costs of energy resources and increasing energy efficiency. Changing the paradigm of power supply systems development towards the development of small distributed power production, intellectualization and demand management requires a more accurate understanding of the planned local loads in the city. At present it is still difficult to obtain such data; it requires analysis of many sources and, consequently, takes a lot of time. The article presents a possible algorithm of formation of the space-time profile of energy resources consumption. At the heart of the load disaggregation there is a spatial distribution of consumers in the city, estimated by the density of the distribution area of buildings of energy consumer groups. The dimension of the model is not limited in both temporal and spatial resolution: the model is flexible and can be adapted to different cases and local conditions. The proposed algorithm has been applied to the modeling of the profile of electricity consumption in St. Petersburg. The profile is based on an annual graph of electricity consumption by hour (8760 values). The spatial resolution of the model ranges from hundreds of meters to several kilometers and depends only on the availability of initial data. In the example, the division of the city territory into administrative districts (18 districts of St. Petersburg) is used as a spatial unit. The obtained results showed their logicality and compliance with empirical observations.
The development of Cameroon’s power grid is linked to the electricity supply and demand market. In recent years, small and medium-sized businesses, due to their rapid development, begin to significantly affect the balance of consumption. According to the results of the analysis, the paper presents the classification of the share of electricity consumption by small and medium-sized enterprises by industry. The forecast of self-generation of electric energy by enterprises from biogas is estimated.
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