0
2
4
6
8
10
2020 2025 2030
5-year investment period
7-year investment period
10-year investment period
%
year
Figure 10: Dynamics of the indicator “Percentage of
recyclable animal waste” at different investment periods.
Evaluation of the effectiveness of achieving the
target indicators of the program lies in the analysis of
the quality of the result of each individual project, the
compliance of the actually achieved values with the
planned ones.
The indicators “The percentage of actual program
implementation” and “Program implementation
efficiency” can be calculated as needed at any stage
of its implementation to monitor the current state of
the degree of program implementation.
4 CONCLUSIONS
Thus, a methodology has been developed for
assessing the compliance of the planned and actual
progress in the implementation of measures to
transfer the regional heat supply system to local types
of fuel, based on a system of indicators. The
methodology contains quantitative indicators of the
effectiveness of the measures implementation.
Various sources of financing for the transfer of the
regional heat supply system to local types of fuel are
considered: funds from budgets of all levels;
consolidated funds based on public-private
partnership; budgetary and extrabudgetary grants for
research and development work; borrowed funds of
credit institutions; own funds of enterprises.
Numerical calculations were carried out for one of
the regions of Russia - the Udmurt Republic. For this
region, the use of local energy resources, primarily
wood waste and animal waste, is one of the possible
options for solving the problem of energy supply in
remote areas in the face of a shortage of fuel and
energy resources and a steady rise in prices for
traditional fuels and transport costs for the delivery of
raw materials to the region..
REFERENCES
Bogdanov, D., Gulagi A., Fasihi M., and Breyer C. (2021).
Full energy sector transition towards 100% renewable
energy supply: Integrating power, heat, transport and
industry sectors including desalination, Energy, 283.
Brugger, H., Eichhammer, W., Mikova, N., and Dönitz, E.
(2021). Energy Efficiency Vision 2050: How will new
societal trends influence future energy demand in the
European countries? Energy Policy, 152.
Fang, Yu.Fu. , Alharthi, M., Bhatti, Z., Sun, L., Rasul, F.,
Hanif, I., and Iqbal W. (2021). The dynamic role of
energy security, energy equity and environmental
sustainability in the dilemma of emission reduction and
economic growth, Journal of Environmental
Management.
Karatayev, M. and Hallc, S. (2020). Establishing and
comparing energy security trends in resource-rich
exporting nations (Russia and the Caspian Sea region),
Resources Policy, 68.
Ketova, K., Rusyak, I., Saburova, E., and Vavilova, D.
(2020). Regional socio-economic parameters modeling
and system analysis by means of programming and
computing suite, IOP Conference Series: Materials
Science and Engineering. Krasnoyarsk Science and
Technology City Hall of the Russian Union of Scientific
and Engineering Associations.
Ketova, K. and Trushkova, E. (2012). The solution of the
logistics task of fuel supply for the regional distributed
heat supply system. Computer Research and Modeling.
Institute for Computer Research, 4.
Mc Gookin, C., Ó. Gallachóir, B., and Byrne, E. (2021).
An innovative approach for estimating energy demand
and supply to inform local energy transitions, Energy.
Pei, Y., Wang Y., Capuder, T., Tan, Z., Zhang, N. (2021).
Chongqing Kang Steady-state security region of energy
hub: Modeling, calculation, and applications,
International Journal of Electrical Power & Energy
Systems, 125.
Proskuryakova, L. (2018). Updating energy security and
environmental policy: Energy security theories
revisited, Journal of Environmental Management, 223.
Rusyak, I., Ketova, K., and Nefedov, D. (2017).
Mathematical model and method for solving the
problem of optimal location of wood fuel production,
Energy, 2.
Rusyak, I., Presnuhin, V., Ketova, K., Korolev, S., and
Trushkova, E. (2010). Development of the Concept of
Fuel Supply Distributed Regional Heating System of
Local Renewable Fuels, Energy Safety and Energy
Economy, 5.
Weinberger, G. and Moshfegh, B. (2018). Investigating
influential techno-economic factors for combined heat
and power production using optimization and
metamodeling, Energy, 232.
Zihao, G., Ren, Z., Li, W., Shunqi, Z., and Yajun, Li.
(2021). Optimal operation of regional integrated
energy system considering demand response, Thermal
Engineering, 191.