Insurance Instruments in Estimating the Cost Energy Assets with Renewable Energy Sources

: The construction and commissioning of renewable energy sources is one of the priority areas of energy programs aimed at achieving sustainable development goals. The creation and operation of such sources is associated with signiﬁcant risks, the management of which is based on real insurance instruments. This article focuses on the formation of a model for assessing the use of insurance in renewable energy projects and presents the business process, stages, risk drivers, and calculation of the economic efﬁciency of the use of insurance mechanisms in renewable energy projects.


Introduction
Currently, unlimited access to a broadly understood energy is necessary not only for the needs of industrial production and the activities of government agencies, but also for the effective functioning of every person in everyday life. It is difficult to imagine not having access to electricity for work and recreation, gasoline for driving, and natural gas for heating homes and cooking. It seems impossible to not have access to your phone, computer, or the Internet. We are not surprised how much we depend on energy sources, not to mention how important they are for the vital interests of the state and as a living organism in the international space.
The importance of electricity to modern civilization cannot be overstated. Along with an increase in the number of people inhabiting our planet, as well as an increase in their standard of living, the demand for electricity continues to grow. Thus, energy is an integral part of the functioning of any economy in the world [1]. It is the driving force of an economy and allows one to influence many of the processes taking place in it, ranging from stimulating economic growth [2,3] through influence on the level of consumption [4] to creating and developing innovations [5].
In the global economy and the socio-economic development of individual countries, both at the regional and the local level, the principle of sustainable development, seen as a compromise between the needs of the environment, economy, and society, is becoming increasingly important [6]. Such development is defined as a process of change in which the use of resources, directions of investment, directions of technological progress, and institutional change remain in harmony and support current and future opportunities to meet human needs and aspirations [7,8].
From the point of view of irreversible climate change, the phenomenon of resource reduction, climate warming, and an increase in environmental pollution, alternative solutions are being sought in all spheres of socio-economic life. The concept of sustainable development is a response to the needs of an increasingly competitive economy and a demanding market. An important role in this process is played by energy security, a state in which all (or most) of the inhabitants and enterprises in a state have access to sufficient energy resources at affordable prices, which are, in the foreseeable future, free from the risk 1.
Prioritizing energy solutions in order to provide electricity to medical clinics and first aid services; 2.
Providing communication to vulnerable consumers; 3.
Increasing reliable, uninterrupted, and sufficient energy production to prepare for a sustainable economic recovery.
An important issue is the source of clean energy, which, along with hydro and bioenergy, include renewable energy sources. Russia supports the achievement of the Sustainable Development Goals, with electricity production reaching 1.198 billion kWh [19]. Energy development and the problems of renewable energy sources receive considerable attention from the scientists, government organizations, and ministries of Europe and Russia [22][23][24][25][26][27][28][29][30][31][32]. At the same time, one of the crucial issues of use is the assessment of the energy efficiency of projects [33][34][35][36].
This article is based on an analysis of the current situation in the development of an important issue in the Russian Federation: renewable energy sources and the need for insurance support for renewable energy source projects [37][38][39]. The aim of the paper is to present the results of using insurance in renewable energy source projects. The article begins with a definition of "renewable energy sources" and presents the model of insurance instruments in estimating the cost of projects for the construction and operation of energy assets with renewable energy sources. The results of implementing the model with different driver complexes present the economic effect of 1-3% from the inclusion insurance program in the renewable energy sources projects.

Materials and Methods
Resolutions of the government of the Russian Federation on renewable energy (solar, wind, and small hydroelectric power plants up to 25 kW), biogas, biomass, and landfill gas waste are valid until 2035. The Russian RES support program is planned for a budget of RUB 400 billion [40]. The key task is to increase the values of the installed capacity utilization factor and reduce the level of costs per unit of generated electric energy, which will lead to a gradual reduction in the price of electric energy generated by renewable energy facilities.
Risk management means identifying potential events or situations, assessing their consequences and likelihood of occurrence, identifying and applying appropriate response methods, and monitoring risk. An important element is to determine the causes of the risk, as well as to predict its possible consequences and take measures aimed at limiting its consequences [41,42]. Identification of a risk threatening the operation of hydroelectric power plants is the basis for taking measures aimed at modeling it and making management decisions in the fight against it [43,44]. One way to reduce the impact of risk is through insurance.
Currently, insurance is not only an effective risk management tool in limiting the consequences of risk materialization and taking preventive measures, but also in managing the value of an enterprise. Consequently, it can be used as an optimal risk management method in the operation of hydroelectric power plants and other renewable energy sources (RES) [45,46].
The construction and operation of energy assets with RES are associated with a high level of risk. To reduce the level of risk as early as at the initial stages of project implementation, it is necessary to use insurance tools, which are an effective way of managing the risks of RES projects ( Figure 1).
The purpose of applying the model for insurance effect in RES projects is to assess the impact of insurance risks on the cost of a project and its various stages. The model evaluates the inherent risks before the implementation of insurance instruments and the residual risks after assessing the effect of insuring RES projects.
The conceptual framework of the insurance impact assessment model is applicable to most RES projects ( Figure 2).
The composition of the assessment of the business value of a renewable energy project consists of the net present value (price of electricity, sensitivity to certain factors, and the volume of electricity sales), net working capital (stocks and large accounts payable and receivable), and the volume of investments ( Figure 3).
The assessment of the effect of insurance in the model is carried out in a number of stages, as shown in Figure 4. The purpose of applying the model for insurance effect in RES projects is to a the impact of insurance risks on the cost of a project and its various stages. The m evaluates the inherent risks before the implementation of insurance instruments and residual risks after assessing the effect of insuring RES projects.
The conceptual framework of the insurance impact assessment model is applic to most RES projects ( Figure 2). The composition of the assessment of the business value of a renewable en project consists of the net present value (price of electricity, sensitivity to certain fac and the volume of electricity sales), net working capital (stocks and large acco payable and receivable), and the volume of investments ( Figure 3).  The purpose of applying the model for insurance effect in RES projects is to assess the impact of insurance risks on the cost of a project and its various stages. The model evaluates the inherent risks before the implementation of insurance instruments and the residual risks after assessing the effect of insuring RES projects.
The conceptual framework of the insurance impact assessment model is applicable to most RES projects ( Figure 2). The composition of the assessment of the business value of a renewable energy project consists of the net present value (price of electricity, sensitivity to certain factors, and the volume of electricity sales), net working capital (stocks and large accounts payable and receivable), and the volume of investments ( Figure 3).  The assessment of the effect of insurance in the model is carried out in a number of stages, as shown in Figure 4.
Step # 2. Expert Step # 3. Assessment  The assessment of the effect of insurance in the model is carried out in a number of stages, as shown in Figure 4.  Experts assess the facts of insurance risks to assess the magnitude of the possible deviation from the planned values of the cost of the RES project ( Figure 5).
Step # 1. Identifying the main drivers for assessing insurance risks Step # 2. Expert assessments of the driver's boundaries are formed (min, basic, max) Step # 3. Assessment of the possible deviation of value under the influence of insurance risks Step # 4. Assessment of the provision under insured risks  Experts assess the facts of insurance risks to assess the magnitude of the possible deviation from the planned values of the cost of the RES project ( Figure 5).  To ensure the quality of an insurance risk assessment, it is necessary to determine the criteria for the selection of experts via their work experience, education, and participation in RES projects, etc. To obtain an integral assessment of insurance risk factors, expert assessments are averaged.
Stage 3. Possible deviation of the cost of projects under the influence of insurance risks is estimated.
At the third stage, an assessment of insurance risks is carried out, excluding insurance and accounting for the use of insurance instruments. For these conditions, a simulation of the project risks is carried out.
The final stage is the formation of reserves for insurance risks, which take the cost of the RES project into account ( Figure 6). Based on the assessment of the effect of insurance, it is possible to form contingency reserves to compensate for uncertainties that could affect sustainable development. To ensure the quality of an insurance risk assessment, it is necessary to determine the criteria for the selection of experts via their work experience, education, and participation in RES projects, etc. To obtain an integral assessment of insurance risk factors, expert assessments are averaged.
Stage 3. Possible deviation of the cost of projects under the influence of insurance risks is estimated.
At the third stage, an assessment of insurance risks is carried out, excluding insurance and accounting for the use of insurance instruments. For these conditions, a simulation of the project risks is carried out.
The final stage is the formation of reserves for insurance risks, which take the cost of the RES project into account ( Figure 6). Based on the assessment of the effect of insurance, it is possible to form contingency reserves to compensate for uncertainties that could affect sustainable development.
factors, expert assessments are averaged. Stage 3. Possible deviation of the cost of projects under the influence of insurance risks is estimated.
At the third stage, an assessment of insurance risks is carried out, excluding insurance and accounting for the use of insurance instruments. For these conditions, a simulation of the project risks is carried out.
The final stage is the formation of reserves for insurance risks, which take the cost of the RES project into account ( Figure 6). Based on the assessment of the effect of insurance, it is possible to form contingency reserves to compensate for uncertainties that could affect sustainable development. Figure 6. Formation of reserves for insurance: the probability of reaching the target (yellow line); red-positive prognosis, blue-unfavorable prognosis. Designed by authors.
The benefits of using simulation modeling include: The benefits of using simulation modeling include: − Taking a large number of risk factors into account, including insurance risks of the RES project. It allows one to simulate the impact of insurance risks on any indicators of the RES project; − Making it possible to include an assessment of uncertainty in project estimates and determine the integral impact of insurance risks on a RES project; − Making it possible to justify the decision for the need to implement the RES project or to revise it from the point of view of the possibility of its insurance. It allows one to choose a risk management strategy, either accepting the risk or transferring risks to insurance, while decision-making.
An alternative calculation of the formation of the effect of insuring RES projects is the formation of regression models. The regression model includes the risk factors associated with ensuring the sustainable development of the RES project (Table 1).
This model was formed and tested by the risk management structures of corporate policyholders. Insurers are also offering new comprehensive products for insuring renewable energy projects. Insurers offer their new comprehensive insurance products designed specifically for renewable energy projects. For example, Allianz in Russia has offered a line of renewable energy insurance products with: − Combined insurance "against all risks" through all stages of the project life cycle from design, transportation, and construction to operation. The policy covers all project participants and covers not only material damage, but also the related loss of profit, as well as civil liability; − Unique for the Russian market, natural index insurance of lost revenue from lack of sun or wind; − Consulting services for the assessment of the technical and investment model of the project, as well as its certification [47].
Insurers' ready-made solutions are convenient for start-up contracts or structures where risk management systems have not yet been formed. Studies of corporate industrial systems with developed risk management systems indicate the specificity of each insurance program, and the need to form it for different types of insurance with different deductibles and taking different value types as the insurance value. At the same time, the model considered can be used to assess the effectiveness of insurance in renewable energy projects.

Results
The practical significance of preparing a model for assessing the effectiveness of insurance is to increase the efficiency of decision-making for the use of insurance tools as a mechanism for sustainable development for existing RES projects implemented by large energy companies in the Russian Federation.
Thus, calculating the economic effect of projects using the Monte Carlo method, we obtained the results using insurance, as shown in Table 2 and Figures 5 and 6.

Results
The practical significance of preparing a model for assess insurance is to increase the efficiency of decision-making for the a mechanism for sustainable development for existing RES p large energy companies in the Russian Federation.
Thus, calculating the economic effect of projects using the M obtained the results using insurance, as shown in Table 2

Results
The practical significance of preparing a model for assessing the effectiveness of insurance is to increase the efficiency of decision-making for the use of insurance tools as a mechanism for sustainable development for existing RES projects implemented by large energy companies in the Russian Federation.
Thus, calculating the economic effect of projects using the Monte Carlo method, we obtained the results using insurance, as shown in Table 2 and Figures 5 and 6.

Results
The practical significance of preparing a model for assessing the effectiveness of insurance is to increase the efficiency of decision-making for the use of insurance tools as a mechanism for sustainable development for existing RES projects implemented by large energy companies in the Russian Federation.
Thus, calculating the economic effect of projects using the Monte Carlo method, we obtained the results using insurance, as shown in Table 2 and Figures 5 and 6.

Results
The practical significance of preparing a model for assessing the effectiveness of insurance is to increase the efficiency of decision-making for the use of insurance tools as a mechanism for sustainable development for existing RES projects implemented by large energy companies in the Russian Federation.
Thus, calculating the economic effect of projects using the Monte Carlo method, we obtained the results using insurance, as shown in Table 2 and Figures 5 and 6. The proposed model, based on a comprehensive assessment of the cost indicators of a RES project under the influence of insurance risks, was tested on a real project of a renewable energy source: wind power projects in Russia at the development stage (Table  3). The proposed model, based on a comprehensive assessment of the cost indicators of a RES project under the influence of insurance risks, was tested on a real project of a renewable energy source: wind power projects in Russia at the development stage (Table  3). Table 3. Modeling the application of insurance instruments in estimating the cost of projects for the construction and operation of energy assets with renewable energy sources.

Stage 1
Identification of risk drivers for inclusion in the financial and economic model (FEM). Identification of risk drivers that affect the The proposed model, based on a comprehensive assessment of the cost indicators of a RES project under the influence of insurance risks, was tested on a real project of a renewable energy source: wind power projects in Russia at the development stage (Table 3).
The effectiveness of the use of insurance mechanisms in a project using a renewable energy source based on an assessment of the inherent, Table 4, and insurance, Table 5, risks was assessed using this model, the results are shown in the Table 3.
The effect of reducing risks due to the implementation of insurance instruments for almost all types of non-systemic risks reaches 100% (Table 3). Table 3. Modeling the application of insurance instruments in estimating the cost of projects for the construction and operation of energy assets with renewable energy sources.

Stage 1
Identification of risk drivers for inclusion in the financial and economic model (FEM). Identification of risk drivers that affect the cost of the project is carried out.
The following risks were identified as affecting the RES project:

Stage 2
Determination of FEM drivers in the selection of risks to assess the boundary values for modeling inherent risks affecting the cost of a RES project.
own production activities; -High volatility in the price of purchased products; -Low quality components; -Change of equipment specification; -Specific conditions for the acceptance of equipment by the customer; -Violation of environmental safety regulations; -Submission by the authors of RIA (their heirs) of requirements to the organization right-holder for payment of remuneration for the use of official RIA; -Contestation of a patent due to non-regulation of relations with the authors of the RIA; -Lack of regulated terms for regulatory approvals.

Stage 2
Determination of FEM drivers in the selection of risks to assess the boundary values for modeling inherent risks affecting the cost of a RES project. Table 4 Stage 3 Calculation of the cost of the RES project at risk before insurance, RUB billion.
The results of modeling the inherent risks of the RES project The delta between the percentiles P70% and P90% under the influence of inherent risks is RUB 2 billion.

Stage 4
Assessment of the effect of reducing risks due to the implementation of insurance instruments (effect of the influence of risk, %) Table 5 The results of modeling the inherent risks of the RES project, including the insurance program. Table 4 Stage 3 Calculation of the cost of the RES project at risk before insurance, RUB billion.
The results of modeling the inherent risks of the RES project own production activities; -High volatility in the price of purchased products; -Low quality components; -Change of equipment specification; -Specific conditions for the acceptance of equipment by the customer; -Violation of environmental safety regulations; -Submission by the authors of RIA (their heirs) of requirements to the organization right-holder for payment of remuneration for the use of official RIA; -Contestation of a patent due to non-regulation of relations with the authors of the RIA; -Lack of regulated terms for regulatory approvals.

Stage 2
Determination of FEM drivers in the selection of risks to assess the boundary values for modeling inherent risks affecting the cost of a RES project. Table 4 Stage 3 Calculation of the cost of the RES project at risk before insurance, RUB billion.
The results of modeling the inherent risks of the RES project The delta between the percentiles P70% and P90% under the influence of inherent risks is RUB 2 billion.

Stage 4
Assessment of the effect of reducing risks due to the implementation of insurance instruments (effect of the influence of risk, %) Table 5 Calculation of the cost of The results of modeling the inherent risks of the RES project, including the insurance program.
The delta between the percentiles P70% and P90% under the influence of inherent risks is RUB 2 billion.

Stage 4
Assessment of the effect of reducing risks due to the implementation of insurance instruments (effect of the influence of risk, %) Table 5 Energies 2021, 14, 3672 Table 3. Cont.

Stage 5
Calculation of the cost of the RES project at risk after insurance, RUB billion (potential effect) The results of modeling the inherent risks of the RES project, including the insurance program.
The delta between the percentiles P70% and P90% under the influence of inherent risks is RUB 2 billion.

Stage 4
Assessment of the effect of reducing risks due to the implementation of insurance instruments (effect of the influence of risk, %) Table 5 Stage 5 Calculation of the cost of the RES project at risk after insurance, RUB billion (potential effect) The results of modeling the inherent risks of the RES project, including the insurance program.
The delta between the P70% and P90% percentiles under the influence of the potential effect from the use of risk insurance instruments is RUB 1 billion.
The delta between the P70% and P90% percentiles under the influence of the potential effect from the use of risk insurance instruments is RUB 1 billion.

Stage 6
Assessment of the overall potential effect of the use of insurance instruments for the RES project RES project cost at risk (inherent risk) = 2 RES project cost at risk (residual risk) = 1 ∆Er = 1 The model for assessing the effectiveness of insurance of the RES project allows us to determine the spread of the project cost values and to assess the effect of reducing the spread of the values by building, at the beginning of the distribution, the cost of the project without the use of insurance instruments and why, accounting for the possible use of insurance instruments. Table 4. Calculation of the cost of the RES project at risk before insurance, RUB billion. Jointly owned patents are not recognized as intangible assets by one of the patent holders. RID is not used by the second patent holder directly in its own production activities

Risks FEM Drivers
Operating costs 5-10 High price volatility for purchased products Operating costs 10-20 Low quality components Cost of equipment 5-10 Change of equipment specification Cost of equipment 5-10 Specific conditions for the acceptance of equipment by the customer Cost of equipment 15-20 Table 5. Calculation of the cost of the RES project at risk after insurance, RUB billion.

Risks
The

Discussion
In the absence of sufficient statistical data on the implementation of RES risks, in both domestic and international companies, equal ranges of indicators were used in the scales for assessing the level of risks for the boundary values of quantitative indicators, which ensured standardization and smoothing of the ranges for the selected quantitative indicators. The practice of establishing uniform boundaries of ranges has also been confirmed by the practice of international and domestic companies, which, when assessing the risks of their investment projects, use scales with the same boundaries to assess risks [48,49]. At the same time, the boundary values of qualitative indicators for assessing risks were taken on the basis of the benchmark of domestic companies, for which a textual description of the boundaries for assessing risks that do not have a sufficient amount of statistical information is presented.
The proposed architecture of the model, based on the integrated assessment of the cost indicators of the RES project under the influence of insurance risks, allowed us to measure the effectiveness of insurance based on the assessment of the inherent and residual insurance risks of the RES project already at the planning stage. The developed model for assessing the effect of the use of insurance tools allows you to make timely decisions on the use of insurance tools and justify the most effective method of insurance, in terms of the impact on the cost of the RES project.
Currently, energy and raw materials play an important role in the formulation of geopolitical concepts and strategies in many countries. Energy resources are strategically important for the energy security of the state and competitiveness of the economy. They transform political relations, define opportunities for economic development, and their scarcity can become a source of conflict.
Energy crises of the past have taught many leaders not to restrict the development of the energy sector, because if electricity, oil, or natural gas were not available, economic development would be significantly slowed or completely stopped [50][51][52][53].
Currently, energy security cannot be limited to acquisition of energy resources, but this extremely complex problem, related not only to energy production itself, but also to broadly understood policies, economic growth, and social stabilization [54], must be solved on the basis of the latest, innovative and effective solutions.
This paper examined the modeling of the application of insurance instruments in estimating the cost of projects for the construction and operation of energy assets with renewable energy sources. The construction of the model is based on the basic theoretical approaches to assessing the risks of industrial projects and the practical experience of the authors in the energy sector and insurance.
The model for assessing the effectiveness of insuring an RES project allowed us to determine the spread of the values of the project cost and to assess the effect of reducing the spread of the values by building at the beginning of the distribution of the cost without the use of insurance instruments and taking the possible use of insurance instruments into account.
In checking the results of the use of insurance for projects of renewable energy sources, the basic complexes of risk drivers were empirically selected. This does not, however, exclude further verification and refinement of the model, including accounting for the types of energy sources. Further development requires a study of the optimal complexes of insurance programs for such projects.
Nevertheless, already in this basic form, the model will be useful and possible for practical use in risk management of renewable energy projects using insurance mechanisms.

Conclusions
As of 4 May 2021, the Russian Ministry of Energy is responsible for the implementation of the President's Address to the Federal Assembly of the Russian Federation of 21 April 2021.
Among others, this includes: -Ensuring the implementation of innovative projects of state importance aimed at the development and implementation of new approaches in the field of nuclear power generation, hydrogen energy, renewable energy sources, as well as energy storage; -Ensuring the implementation of innovative projects of state importance aimed at creating a national system for high-precision monitoring and the utilization of climatically active gases, including to ensure legal regulation in the field of regulating emissions of such gases and environmental (low-carbon) transformation of economic sectors; -Ensuring the introduction of amendments to the legislation of the Russian Federation providing for the implementation, by the owners of industrial and other infrastructure facilities whose activities harm to the environment, of the timely elimination of such harm at all stages of the life cycle of these facilities, including financial support for the fulfillment of this obligation.
The use of insurance support mechanisms for renewable energy projects is economically justified [55]; in addition, it involves additional financial and labor resources in such projects. Further areas of research will be devoted to the development of business