Why did PV systems increase in Latvia in 2022 & 2024?

Share of PV systems installed capacities. In Latvia, the installed solar photovoltaic (PV) capacity in single-family homes significantly increased in 2022 and 2024. This growth was largely driven by the availability of state support programs, the introduction of a net metering system, and rising electricity prices .

Can rooftop PV installations support the energy transition in the Baltic states?

Considering the above, the Baltic States have significant technical potential for rooftop PV installations to support the energy transition. EU policymakers have highlighted renewable energy communities as a key driver of this transition, as they promote citizen participation and local control over renewable energy decisions .

How much solar energy does the Baltic region have in 2022?

Between 2022 and 2024, the expansion of solar energy production across the Baltic region has exceeded even the most optimistic forecasts. By June of 2024, Estonia's total installed solar capacity reached 879 MW, Lithuania attained 1.2 GW, and Latvia added nearly 500 MW.

Can rooftop photovoltaic systems be used in multi-apartment buildings?

The study evaluates the LCOE for rooftop photovoltaic (PV) systems in multi-apartment buildings in the Baltic States, focusing on cost projections up to 2050. Using Monte Carlo simulations and stochastic modeling, the research incorporates key economic parameters such as CAPEX, OPEX, and discount rates to assess future LCOE trends.

How many solar PV installations are there in the EU?

In that year alone, 56 GW of solar PV were installed in the EU, with two-thirds of these installations on rooftops, empowering consumers and protecting them from high electricity prices while reducing land use.

Is LCOE more sensitive to capital costs of PV systems?

A previous study showed that LCOE is most sensitive to the capital costs of PV systems . A similar trend is observed for multi-apartment buildings rooftop PV systems in the Baltic States in the sensitivity analysis presented in Fig. 5, which shows the correlation between sensitive parameters and LCOE.