Establishing Solar Energy Cooperatives in Ukraine: Regional Considerations and a Practical Guide
Abstract
1. Introduction
2. Literature Review
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- An association of persons, not capital: Members of a cooperative are individuals or legal entities that actively participate in its activities.
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- Democratic governance principle: Each cooperative member has one vote, regardless of the size of their contribution.
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- Openness to new members: The cooperative can expand without legal difficulties.
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- Sharing of resources: Profits are distributed not according to the size of the investment but according to each member’s level of participation.
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- Non-profit purpose: The main goal of a cooperative is not to maximize profits, but to provide members with quality services or goods.
2.1. Energy Cooperatives and Energy Communities as Instruments for Collective Action in Renewable Energy
2.2. Energy Cooperatives in Ukraine
- The energy system has a deficit of installed capacity.
- Households now consume more energy than industry (as opposed to before February 2022).
- There is a significant imbalance between the regions with extensive power output and regions that are power-deficient. Regions in the centre and east of Ukraine are the most energy-deficient due to the presence of energy-intensive industries there.
- Distributed energy generation is now considered a key direction in energy system development. It does not overload the existing transmission infrastructure and diminishes the losses.
3. Materials and Methods
- In this study, we employed a discount rate (r) of 15.5%, which aligns with the rate established by the National Bank of Ukraine as of July 2025 [52].
- The analysis was conducted over 25 years, which corresponds to the lifetime of a solar PV installation [53].
- The solar energy cooperative comprises 12 households, each with a 12 kW solar photovoltaic (PV) system. There is a legislative requirement that the cumulative installed capacity of energy-generating equipment of an energy cooperative should be less than 150 kW. Therefore, there can be several combinations of the number of households and their respective installed capacities. The installed capacity of 12 households, each with 12 kW of solar PV, equals 144 kW, which does not exceed the legislatively permitted 150 kW. We chose to proceed with solar PV because the equipment is relatively simple to install, readily available on the market (unlike small hydro or wind turbines), and does not require extensive permitting systems.
- For calculation purposes, each house has an area of 110 m2 (the rooftop surface affects the installed capacity of solar PV). An assumption of a household of 110 m2 was made, based on recent construction trends in Ukraine, where new family homes are generally within the range of 100–120 m2 for households of 3–4 people [54,55]. There is no official average for single-family home size; however, Ukrainian developers recommend a range that is most similar to the new housing market and falls within the same range as new homes built in the previous period. A 12 kW PV system was chosen as the most likely estimate for a Ukrainian house in this size category, considering the available roof area and feasible installation restrictions. As of 2023, in Ukraine, 74.4% of solar PV in households had an installed capacity of 30–31 kW; 2.6% had an installed capacity of above 31 kW; 7.6% had an installed capacity of 20–30 kW; 12.3% had an installed capacity of 10–20 kW; and only 3.1% had capacity below 10 kW [56]. This occurred because the FIT conditions have been very favourable (in the past), and solar PV has been used not only for self-consumption but also as a business investment. Our assumptions are intended to reflect typical homes and practical PV installation constraints rather than the official statistical average of housing stock per person (which was 24.5 m2 per capita in 2020). Additionally, the area of housing stock has changed since 2020, along with the number of people.
- The average electricity consumption is 3 kWh/m2. This is an assumption based on observations rather than official statistics because these statistics are not readily available.
- Under the net metering scheme, a cooperative is not allowed to sell more than half of the electricity generated (based on its installed capacity of RES equipment) to the grid [57].
- We utilized the PVWatts Calculator [58], created by the US National Renewable Energy Laboratory (NREL), to account for regional variations in solar potential across Ukraine. This resource calculates the energy output of solar PV installations based on average local weather and solar radiation information. To determine a region-specific capacity factor, we selected the regional centers in the PVWatts database for each region. These customized figures enabled us to estimate the annual electricity generation more precisely, rather than using an average capacity factor for the entire country.
- The FIT for solar PV Rooftop and façade in Ukraine as of 2025 is EUR-cent 12.38/kWh [44]. The FIT rates are uniform and do not differentiate across various regions of Ukraine. As of 2024, the highest number of solar PV installations was located in Ivano-Frankivsk, Dnipro, Vinnytsia, and Khmelnytsky regions [59].
- In some scenarios, they might prioritize the highest electricity output;
- In others, they might prioritize the highest possible security, meaning they would prefer sites located furthest from the frontline to reduce security risks.
4. Results
Region Selection
- Capital grants aimed at decreasing upfront costs;
- Tax exemptions (such as VAT);
- Increase awareness about energy cooperatives;
- Provision of assistance with the preparation of project applications.
5. Discussion
5.1. General Considerations and Key Findings
5.2. Policy Implications
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- A precise mechanism for establishing energy communities needs to be introduced.
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- Empirical data on consumer demand, including resource capacity, financial interest, and willingness to participate in energy projects, should be collected. Furthermore, the bibliometric analysis [47] reveals a fragmented scientific picture of renewable energy development in the residential sector in Ukraine, which correlates with the observed gaps in practical implementation and policy coherence.
5.3. Future Research
- Digital technologies. Smart meters, blockchain, and electronic trade platforms can enhance energy management within energy cooperatives and simplify interaction with the grid.
- Energy intensity and energy efficiency may change at different stages and during the business cycles or economic growth [61]. Further studies are needed to understand how resilient energy cooperatives are against external shocks.
- Carbon markets. Ukraine has an emerging carbon market; however, such a market is a necessary element of the industry in the EU. Further studies are needed to investigate how carbon markets can encourage the establishment of energy cooperatives, particularly in regions with high carbon emissions.
- Understanding renewable energy diffusion dynamics, including those in energy cooperatives.
5.4. Practical Guide to Create an Energy Cooperative (Based on the Example of Ukraine)
- own consumption (cooperative members receive energy at self-cost),
- energy sales (sale of excess electricity to the grid. In Ukraine, this is a basis for the feed-in tariff, and, to some extent, for net metering in case of prosumers),
- mixed model (the cooperative uses part, and part is sold),
- identify opportunities to attract government support or grant programs.
- Sell renewable energy to households and businesses;
- Install and operate local renewable energy infrastructure;
- Contribute to the alleviation of energy poverty.
- The main conditions for achieving the efficiency of energy cooperatives are as follows:
- Understanding of the causes of energy deficit following the main functions performed by energy in the life of a citizen, community, and society;
- Acquiring skills to overcome the energy deficit, including knowledge of the possibilities of using alternative energy sources;
- Identifying the importance of cooperation to overcome the energy deficit;
- Awareness of the need to interact with local energy networks in terms of energy supply and sales;
- Identifying the benefits that members of the energy cooperative will receive in the event of stakeholder engagement.
- The risk of harm to participants, which can include both voluntary participation and awareness of technical and safety issues;
- The risk of disclosing information about the personal needs of a cooperative member;
- Direct operational and subjective risks.
- cloud applications for data management and security;
- appropriate software for equipment operation and control;
- databases of potential partners and employees;
- access protocols by levels of services consumed or information required.
- Continuously improving procedures and impact to ensure that the initiatives’ objectives are achieved;
- Establishing and strengthening trust with potential participants and/or target groups;
- Helping other energy cooperatives to implement initiatives that more successfully and efficiently achieve their objectives;
- Supporting subsequent funding proposals by demonstrating the organization’s capacity for continuous learning, development, and adaptation in addition to its evident impact;
- Have strong evidence to support claims in reports and communication materials.
6. Conclusions and Policy Recommendations
- The reliance on data on electricity consumption based on expert observation and typical profiles, rather than official statistics. This is because in Ukraine, there are currently no open, detailed data on average electricity consumption in households that are united in energy cooperatives.
- The use of only one scenario, i.e., 12 households with PV systems with a capacity of 12 kW each. This approach was chosen to ensure comparability of the results across regions and to make sure that the cumulative installed capacity of 12 households fits the existing legislative requirements (does not exceed 150 kW). Modelling a cooperative as 12 identical households oversimplifies real-world diversity in income, energy consumption, and investment willingness.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
DSO | Distribution System Operator |
EU | European Union |
FIT | Feed-in Tariff |
FIP | Feed-in Premium |
KPI | Key performance indicator |
kWh | kilowatt-hour |
MW | Megawatt |
RES | Renewable energy source |
SPT | Simple payback time |
VAT | Value added tax |
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Barriers | Drivers |
---|---|
Low awareness about energy cooperatives | The necessity to decentralize the energy system |
Unfeasible support schemes | Possibility to (partially) meet energy demand at a lower cost (compared to the individual solutions) |
Difficulty in reaching an agreement within the group of people due to the general mistrust of cooperative models | The need to ensure one’s own independent energy supply |
High upfront costs | Help to mobilize private capital [49] |
Possibility of not worsening air quality [49] |
Symbol | Description |
---|---|
T | Electricity tariff for households |
NC | Net cost of electricity |
VAT | Value Added Tax |
DSOt | Tariff for the services of the DSO |
TSOt | Tariff for electricity transmission by TSO |
USPt | Tariff for the Universal Service Provider’s service |
NPV | Net present value |
ACFlow | Annual cash flow |
r | Discount rate |
i | Number of periods |
NCi | Net cost of electricity in the i period |
NCNorm | Net cost of electricity normalized |
EO | Electricity output |
EONorm | Electricity output normalized |
D | Distance from the frontline (proxy for security) |
DNorm | Distance from the front line normalized |
II | Integral index |
wNCi | Weight of the lowest net cost of electricity in the region |
wEOi | Weight of the electricity output |
wDi | Weight of distance from the frontline |
Policy Priority | Criterion Weights | ||
---|---|---|---|
Net Cost | Electricity Output | Security | |
The highest electricity output | 0.5 | 0.25 | 0.25 |
The highest possible security | 0.2 | 0.3 | 0.5 |
Indicator | Description |
---|---|
Level of energy self-sufficiency | % coverage of the needs of cooperative members |
Cost per kWh for a member | Comparison to the market price |
Investment payback period | Years |
Attracting new members | Annual growth |
Environmental effect | Reduced CO2 emissions |
Reliability of supply | Number of failures/outages per year |
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Trypolska, G.; Kubatko, O.; Prokopenko, O. Establishing Solar Energy Cooperatives in Ukraine: Regional Considerations and a Practical Guide. Energies 2025, 18, 3623. https://doi.org/10.3390/en18143623
Trypolska G, Kubatko O, Prokopenko O. Establishing Solar Energy Cooperatives in Ukraine: Regional Considerations and a Practical Guide. Energies. 2025; 18(14):3623. https://doi.org/10.3390/en18143623
Chicago/Turabian StyleTrypolska, Galyna, Oleksandra Kubatko, and Olha Prokopenko. 2025. "Establishing Solar Energy Cooperatives in Ukraine: Regional Considerations and a Practical Guide" Energies 18, no. 14: 3623. https://doi.org/10.3390/en18143623
APA StyleTrypolska, G., Kubatko, O., & Prokopenko, O. (2025). Establishing Solar Energy Cooperatives in Ukraine: Regional Considerations and a Practical Guide. Energies, 18(14), 3623. https://doi.org/10.3390/en18143623