The paper presented is intended to analyze an approach to a long-term inter-sector and inter-regional economic analysis as based on an optimization model. This approach was developed in IEIE SB RAS and resulted in several directions of application. One of them is investigation of interactions between a national economy and its energy production segment. The model being discussed includes input-output tables for six regions of Russian economy supplemented with model blocks for interregional transportations. It includes a natural block of energy production, processing and transportation. The last version of this model combines 45 products of different economic sectors including 8 ones of an energy sector (rough oil, gas and coal, two kinds of petroleum products, coal processing, electricity and heat), and 6 Russian macro-regions; it is a composition of two sub-models for 2 time periods: 2008-2020 and 2021-2030. Each of the sub-models treats time changes in simplified manner – it means that all the variables are defined for the last year of the period and the variables of the basic year are fixed as exogenous ones. The dynamics of investments into fixed capital is treated as non-linear functions being adapted with the help of linearization techniques.

The research topic is the increasing process of electricity generation based on renewable energy sources (RES) in the Russian Federation and its regions. This paper aims to develop a methodology for modeling new RES technologies in the initial period of their dissemination. Its application allows to estimate the scale of energy generation in the regions fr om the standpoint of national economy efficiency. The research methodology includes the application of parametric analysis in the framework of interregional input-output model of optimization with detailed energy sector. Its essence is to increase step by step the cost of a new RES technology in the competitive environment of traditional technologies until it leaves the optimal plan. The parametric process involves finding the threshold values of the RES technology cost in the region, passing by which the technology changes its intensity (efficiency) dramatically. A comparative retrospective analysis of RES technologies spreading in the country and regions is carried out. It is shown the importance of taking into account the installed capacity utilization factor when modeling technologies. Formal procedures for embedding it in energy technologies of the model are described. The trajectories of integrated effects fr om spreading of renewable energy technologies, obtained as a result of parametric analysis, can be ranked by region and used for selective investment policy on the part of the state. It should be aimed at supporting the development of energy on RES primarily in those regions wh ere the maximum integral effect is obtained.

No abstract