Development of Russian electric power industry in recent years is characterized by a multitude of problems and a decrease in a number of performance indicators. It dissatisfies consumers and encourages them to implement various measures to reduce risks and costs of energy supply. This creates preconditions for the emergence of «active» consumers in the domestic electric power industry. Given this trend it would be appropriate to switch from Supply Side Management to Demand Side Management. This will require the implementation of a wide range of measures, including strategic issues of industry development, legal framework and transition to a customer-centric market model.
This article aims to identify effects of client orientation on business models of central power generation companies.
Five major Russian wholesale electricity market players were selected for the analysis conducted applying A. Osterwalder and Y. Pigneur’s ‘Business Model Canvas’. To identify the changes induced by client orientation, the progress of companies’ business models was traced over 6 years; from 2009 to 2015.
Five major trends in business model changes due to client orientation were identified:
1. Declaration of client orientation and adoption of client service standards;
2. Advent of business diversification in favor of engineering, construction, service, operation and maintenance of generating facilities;
3. Increase in vertical integration;
4. Increase in diversity of communication channels with consumers;
5. Increase in diversity of customer relationships.
The results were compared with those obtained in international studies. Conclusions about international and local character of the trends are presented.
The study contributes to knowledge of current and upcoming changes in the business of central power generation triggered by the advent of electricity prosumers. It is valuable both for management decision makers and theorists.
The paper provides the target model for innovative ecosystem of Russian power industry. The system is based upon the key attributes of the ecosystem, which were revealed within the theoretical part of the paper: limited state intervention, free interaction of the participants and the availability of proper infrastructure. At the same time the proposed target model provides a solution for the current problems of existing prototypes of ecosystem in the Russian power industry via integrating the key actors with the focus on delivering added value to the end user.
Development of distributed generation is one of the modern trends in the electric power industry worldwide. The main drivers are technology progress, energy policy (stimulating of development RES, cogeneration, «green energy», etc.). Furthermore, consumers' request for higher service standards is important. Liberalization of electric power industry creates additional opportunities for development of distributed generation. Also it is necessary to synchronize development of electric power industry, heat industry and consumers’ generation.
Diversification of energy sources in the road transport sector is becoming a global trend with the emergence of economically and technologically viable alternative fuels, such as electricity, biofuels, compressed natural gas, and others. With the transport sector generating over 50% of global oil demand, this trend obviously holds great significance. The Russian Federation, while being one of the world's major oil producers as well as energy consumers, is falling behind on this trend. However, the prospects for change are quite tangible. The article presents a long term outlook for changes in the Russian road transportation sector's fuel mix. The calculations demonstrate that switching to natural gas and electricity will reduce the share of petroleum products from 95% in 2015 to 74–86% by 2040. Nevertheless, the extent of support by the Russian Government for the infrastructural development will be the key factor to determine the end result. The incentives for natural gas and electric vehicles will also play a large role. The issue of fuel mix diversification will have to be resolved against the background of a 75% increase in the sector's energy consumption, expected in the next 20 yr. Petrol will remain a key fuel for transportation but its share will decrease from 59 to 40-47%, while the share of diesel will remain at 34-39%.
The paper is devoted to the analysis of regional innovative ecosystems’ development in Russia’s energy sector. In transitional economies, the energy sector undergoes through dynamic technological and also structural changes that attract new players in it. Innovations increase competitiveness of the energy sector and help growing its exporting potential. The “gluing” role of small businesses in developing innovative ecosystem is critical for sustainable innovating. The paper assesses problems that small businesses report, and investigates elements of possible regional innovative ecosystem in energy sector. Based on semi-structured interviews with small firms we determined the most problematic area for innovative SMEs, - it is the legislative and regulatory framework that is holding the development of regional and country-wide innovative ecosystems back. We came up with suggestions on how to improve the situation in Russia’s energy sector. Although the analysis is industry and country specific, we believe that our generalizations would help other transitioning and emerging countries to faster developing innovative ecosystems and grow their economies.
Nowadays, one of the most imminent problems facing power systems in post-industrial countries is the sustainable development of power systems under conditions of increasing power consumption irregularity due to the reduction of the industry’s share in consumers’ demand for electric power. In today’s Russia, this issue is becoming very acute due to the significant share of electric power and heat co-generation that is demonstrating low manoeuvrability and poor adaptation to operations in the daily variation of electric power demand. This paper considers the problem of improving the power system steady-state through the optimization of the production structure of thermal power plants. We propose a combinatorial algorithm that improves the planning of the structural and technological modernization of the power equipment configuration, with a glance at the forecast of the increasing irregularity of power consumption.
The article deals with the analysis of technological platforms in Russian energy industry, as an instrument of innovation state policy. To this end, European technological platforms have been explored, the implementation experience of which formed the basis for the formation of similar mechanisms in Russia. Their structure and place in the innovation state policy are described. Comparative analysis of European and Russian technology platforms has revealed several conceptual differences, the key of which is the dominance of a directive approach to management in Russia. This leads to incomplete use of technological platforms’ potential and causes the participants’ low interest in interaction on their site. The article suggests ways to solve the identified problems.
One of the key and pressing challenge the Russia electric power industry faces todat in its development and performance is the problem of cross subsidization. This problem, if not solved, will hinder further adequate development of market relations, effective performance of market players and of the national economy in general. This article is aimed at the comprehensive overview of the cross subsidization types currently existing in the industry (where subsidization between citizens and other consumers remains the basic one), system analysis of its causes and opportunities for the solution of this problem including potentia risk assessment as regards the price mechanism reviewed.
The electricity market liberalization in Russia has led to the emergence of the wholesale power market. Since that time, market participants operate in the competitive environment, facing everyday with market strategy planning issues. Under these conditions forecasting electricity prices has become an integral and daily challenge for most market participants. This is also true in case of high uncertainty that typically characterizes Russian electricity market. To this end, it is especially demanded to formulate and apply precise forecast models to predict market conjecture.
In this paper we consider the possibility of using neural networks for short-term electricity price forecasting on the Russian day-ahead market based only on market specific deterministic factors. The results show that the proposed set of six factors accurately describe the market conjecture and proposed model allows to get reliable month hourly price forecast in four different seasons of the year. The proposed model shows the lowest average prediction error rates for each hour of the month and, in turn, allows market participant to anticipate significant deviations of the price.