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Various programs aimed at improving energy efficiency and sustainability, which are actively implemented around the world at regional, national and local levels, are one of the powerful means for solving the problem of greenhouse gas emissions. In our study, we propose an approach to improve the efficiency, pace and scope of such targeted programs by establishing closer mutually beneficial interaction between the centers (initiators) of these programs and their participants (project implementers) at all stages of program formation and implementation. We examined the advantages of the proposed approach based on a formalized simulation model and an algorithm that implements procedures for optimal coordination and balancing of joint efforts of centers, participants, implementers, and investors, allowing them to test different strategies using sequential iterative project selection procedures. The model is built on the basis of theoretical provisions of Bellman’s principle of optimality, enabling to formalize the gradual change of the selection procedure by a set of state variables, limited by technical, economic, energy, etc. conditions of technological processes of projects. This allowed us to reduce the process of solving the formulated multidimensional optimization problem of dynamic programming to the sequential solution of simpler one-dimensional problems. To numerically assess the capabilities of the approach, we used the time value of money discounting technique, comparing the performance of the investments required to implement the projects. This made it possible to develop and analyze the results of two boundary scenarios of program implementation, as well as to identify and quantify the effect of “redistribution” (reallocation) of saved resources (energy, economic, financial) between projects, to which researchers have not paid much attention. The impact of this effect is quite large. So, in our example of improving the efficiency of program projects from 0.7 to 0.8, it is possible to achieve an increase in energy savings up to 1.7 times.

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Program-Targeted Approach for Improving Energy Efficiency and Sustainability Through System-Integrated Services

  • 章节

  • 发表日期：

    2026年

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  • Tetyana Yevtukhova,
  • Oleksandr Novoseltsev,
  • Artur Zaporozhets

摘要

Various programs aimed at improving energy efficiency and sustainability, which are actively implemented around the world at regional, national and local levels, are one of the powerful means for solving the problem of greenhouse gas emissions. In our study, we propose an approach to improve the efficiency, pace and scope of such targeted programs by establishing closer mutually beneficial interaction between the centers (initiators) of these programs and their participants (project implementers) at all stages of program formation and implementation. We examined the advantages of the proposed approach based on a formalized simulation model and an algorithm that implements procedures for optimal coordination and balancing of joint efforts of centers, participants, implementers, and investors, allowing them to test different strategies using sequential iterative project selection procedures. The model is built on the basis of theoretical provisions of Bellman’s principle of optimality, enabling to formalize the gradual change of the selection procedure by a set of state variables, limited by technical, economic, energy, etc. conditions of technological processes of projects. This allowed us to reduce the process of solving the formulated multidimensional optimization problem of dynamic programming to the sequential solution of simpler one-dimensional problems. To numerically assess the capabilities of the approach, we used the time value of money discounting technique, comparing the performance of the investments required to implement the projects. This made it possible to develop and analyze the results of two boundary scenarios of program implementation, as well as to identify and quantify the effect of “redistribution” (reallocation) of saved resources (energy, economic, financial) between projects, to which researchers have not paid much attention. The impact of this effect is quite large. So, in our example of improving the efficiency of program projects from 0.7 to 0.8, it is possible to achieve an increase in energy savings up to 1.7 times.