Ranking of Independent Small-Scale Electricity Generation Systems
Janis Kramens,
Megija Valtere (),
Guntars Krigers,
Vladimirs Kirsanovs and
Dagnija Blumberga
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Janis Kramens: Institute of Energy Systems and Environment, Riga Technical University, Azenes Street 12/1, LV-1048 Riga, Latvia
Megija Valtere: Institute of Energy Systems and Environment, Riga Technical University, Azenes Street 12/1, LV-1048 Riga, Latvia
Guntars Krigers: Institute of Energy Systems and Environment, Riga Technical University, Azenes Street 12/1, LV-1048 Riga, Latvia
Vladimirs Kirsanovs: Institute of Energy Systems and Environment, Riga Technical University, Azenes Street 12/1, LV-1048 Riga, Latvia
Dagnija Blumberga: Institute of Energy Systems and Environment, Riga Technical University, Azenes Street 12/1, LV-1048 Riga, Latvia
Clean Technol., 2024, vol. 6, issue 1, 1-12
Abstract:
The EU’s energy targets are to achieve at least 32% renewables in the energy mix by 2030. Part of the solution is strengthening consumer rights by empowering individuals to generate their own electricity. The aim of this study was to identify the most suitable energy system for electricity generation of up to 50 kW in the EU residential sector. Multi-Criteria Decision Analysis was used to compare four systems: proton exchange membrane fuel cell with photovoltaic panels, photovoltaic panels, biomass-powered Stirling engine, and solar-powered Stirling engine. Based on the results, the most beneficial system for household electricity generation is the biomass-fueled Stirling engine system due to its affordability, reliability, and low environmental impact. Governments and businesses can use these findings to improve information for the residential sector and enable the transition to renewable energy.
Keywords: fuel cell; multi-criteria decision analysis (MCDA); renewable energy systems; sensitivity analysis; small-scale systems; Stirling engine (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jcltec:v:6:y:2024:i:1:p:9-151:d:1332034
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