1. bookVolumen 26 (2022): Edición 1 (January 2022)
Detalles de la revista
License
Formato
Revista
eISSN
2255-8837
Primera edición
26 Mar 2010
Calendario de la edición
2 veces al año
Idiomas
Inglés
Acceso abierto

Impact Assessment of the Renewable Energy Policy Scenarios – a Case Study of Latvia

Publicado en línea: 05 Nov 2022
Volumen & Edición: Volumen 26 (2022) - Edición 1 (January 2022)
Páginas: 998 - 1019
Detalles de la revista
License
Formato
Revista
eISSN
2255-8837
Primera edición
26 Mar 2010
Calendario de la edición
2 veces al año
Idiomas
Inglés

[1] Sen S., Ganguly S. Opportunities, barriers and issues with renewable energy development – A discussion. Renewable and Sustainable Energy Reviews 2017:69:1170–1181. https://doi.org/10.1016/J.RSER.2016.09.137 Search in Google Scholar

[2] Naumann M., Rudolph D. Conceptualizing rural energy transitions: Energizing rural studies, ruralizing energy research. J Rural Stud 2020:73:97–104. https://doi.org/10.1016/J.JRURSTUD.2019.12.011 Search in Google Scholar

[3] Annibaldi V., et al. Renewable Energy Policies: Bibliometric Review and Policy Implications. Environmental and Climate Technologies 2020:24(3):403–417. https://doi.org/10.2478/RTUECT-2020-0112 Search in Google Scholar

[4] Kariuki D. Barriers to Renewable Energy Technologies Development [Online]. [Accessed 05.09.2022]. Available: https://www.researchgate.net/publication/348936339_Barriers to Renewable Energy Technologies Development Search in Google Scholar

[5] Moorthy S., et al. Breaking barriers in deployment of renewable energy. Heliyon 2019:5(1):e01166. https://doi.org/10.1016/J.HELIYON.2019.E01166 Search in Google Scholar

[6] Broom D. 5 charts show the rapid fall in costs of renewable energy. Energy Post [Online]. [Accessed 05.09.2022]. Available: https://energypost.eu/5-charts-show-the-rapid-fall-in-costs-of-renewable-energy/ Search in Google Scholar

[7] Policarp M., et al. SocialRES Energy Innovation Framework: A Comparative Analysis of Existing Business Models for RES Cooperative, Aggregators and Crowdfunders. Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition 2021:1618–1619. https://doi.org/10.4229/EUPVSEC20212021-7DO.5.4 Search in Google Scholar

[8] Burke M. J., Stephens J. C. Political power and renewable energy futures: A critical review. Energy Res Soc Sci 2018:35:78–93. https://doi.org/10.1016/J.ERSS.2017.10.018 Search in Google Scholar

[9] Ameriks U. “Laflora” vēja parks: ceļā uz zaļu industriālo zonu Zemgales reģionā (“Laflora” wind park: on the way to a green industrial zone in the Zemgale region.). Jelgava: Laflora, 2020. (in Latvian) Search in Google Scholar

[10] Ruiz Romero S., Colmenar Santos A., Castro Gil M. A. EU plans for renewable energy. An application to the Spanish case. Renew Energy 2012:43:322–330. https://doi.org/10.1016/J.RENENE.2011.11.033 Search in Google Scholar

[11] Sunak Y., Madlener R. The impact of wind farm visibility on property values: A spatial difference-in-differences analysis. Energy Econ 2016:55:79–91. https://doi.org/10.1016/J.ENECO.2015.12.025 Search in Google Scholar

[12] Wang L., et al. Optimization of wind farm layout with complex land divisions. Renew Energy 2017:105:30–40. https://doi.org/10.1016/J.RENENE.2016.12.025 Search in Google Scholar

[13] Climate Policy Info Hub. Social Acceptance of Renewable Energy [Online]. [Accessed April 20, 2022]. Available: https://climatepolicyinfohub.eu/social-acceptance-renewable-energy.html Search in Google Scholar

[14] Richards G., Noble B., Belcher K. Barriers to renewable energy development: A case study of large-scale wind energy in Saskatchewan, Canada. Energy Policy 2012:42:691–698.10.1016/j.enpol.2011.12.049 Search in Google Scholar

[15] Leiren M. D., et al. Community Acceptance of Wind Energy Developments: Experience from Wind Energy Scarce Regions in Europe. Sustainability 2020:12(5):12051754. https://doi.org/10.3390/su12051754 Search in Google Scholar

[16] The Danish Energy Agency. Technology Data. [Online]. [Accessed April 20, 2022]. Available: https://ens.dk/en/our-services/projections-and-models/technology-data Search in Google Scholar

[17] Muizniece I., Blumberga D. Wood resources for energy sector in Latvia. Is it a sustainable solution? Energy Procedia 2017:128:287–291. https://doi.org/10.1016/j.egypro.2017.09.076 Search in Google Scholar

[18] Santoyo-Castelazo E., Azapagic A. Sustainability assessment of energy systems: integrating environmental, economic and social aspects. J Clean Prod 2014:80:119–138. https://doi.org/10.1016/J.JCLEPRO.2014.05.061 Search in Google Scholar

[19] Väisänen S., et al. Using a multi-method approach for decision-making about a sustainable local distributed energy system: A case study from Finland. Journal of Cleaner Production 2016:137:1330–1338. https://doi.org/10.1016/J.JCLEPRO.2016.07.173 Search in Google Scholar

[20] Şengül Ü., et al. Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renew Energy 2015:75:617–625. https://doi.org/10.1016/J.RENENE.2014.10.045 Search in Google Scholar

[21] Štreimikiene D., Šliogeriene J., Turskis Z. Multi-criteria analysis of electricity generation technologies in Lithuania. Renew Energy 2016:85:148–156. https://doi.org/10.1016/J.RENENE.2015.06.032 Search in Google Scholar

[22] Stein E. W. A comprehensive multi-criteria model to rank electric energy production technologies. Renewable and Sustainable Energy Reviews 2013:22:640–654. https://doi.org/10.1016/J.RSER.2013.02.001 Search in Google Scholar

[23] Blumberga A., Gravelsins A., Blumberga D. Deliberation Platform for Energy Transition Policies: How to Make Complex Things Simple. Energies 2022:15(1):90. https://doi.org/10.3390/EN15010090 Search in Google Scholar

[24] Pakere I., et al. Will there be the waste heat and boiler house competition in Latvia? Assessment of industrial waste heat. Smart Energy 2021:3:100023. https://doi.org/10.1016/J.SEGY.2021.100023 Search in Google Scholar

[25] Ozoliņa S. A., et al. Can energy sector reach carbon neutrality with biomass limitations? Energy 2022:249:123797. https://doi.org/10.1016/J.ENERGY.2022.123797 Search in Google Scholar

[26] Kacare M., Pakere I., Gravelsins A. The coupling of the system dynamics model with GIS to visualise the potential of renewable energy. Proceedings of the 24th thematic conference of the Young Scientists Conference “Science - The Future of Lithuania” Environmental Protection Engineering 2020. https://doi.org/10.3846/aainz.2021.12 Search in Google Scholar

[27] Kacare M., et al. Spatial Analysis of Renewable Energy Sources. Environmental and Climate Technologies 2021:25:865–878. https://doi.org/10.2478/rtuect-2021-0065 Search in Google Scholar

[28] Tukulis A., et al. Methodology of system dynamic approach for solar energy integration in district heating. Energy Procedia 2018:147:130–136. https://doi.org/10.1016/J.EGYPRO.2018.07.042 Search in Google Scholar

[29] Feofilovs M., Romagnoli F., Gravelsins A. System dynamics model for natural gas infrastructure with storage facility in Latvia. Energy Procedia 2018:147:549–557. https://doi.org/10.1016/J.EGYPRO.2018.07.070 Search in Google Scholar

[30] Rozentale L., et al. System dynamics modelling of railway electrification in Latvia. Environmental and Climate Technologies 2020:24(2):247–257. https://doi.org/10.2478/RTUECT-2020-0070 Search in Google Scholar

[31] Jin Y., et al. Water use of electricity technologies: A global meta-analysis. Renewable and Sustainable Energy Reviews 2019:115:109391. https://doi.org/10.1016/j.rser.2019.109391 Search in Google Scholar

[32] Chatzimouratidis A. I., Pilavachi P. A. Technological, economic and sustainability evaluation of power plants using the Analytic Hierarchy Process. Energy Policy 2009:37(3):778–787. https://doi.org/10.1016/j.enpol.2008.10.009 Search in Google Scholar

[33] Väisänen S., et al. Using a multi-method approach for decision-making about a sustainable local distributed energy system: A case study from Finland. J Clean Prod 2016:137:1330–1338. https://doi.org/10.1016/j.jclepro.2016.07.173 Search in Google Scholar

[34] Štreimikienė D., Šliogerienė J., Turskis Z. Multi-criteria analysis of electricity generation technologies in Lithuania, Renew Energy 2015:85:148–156. https://doi.org/10.1016/j.renene.2015.06.032 Search in Google Scholar

[35] Mourmouris J. C., Potolias C. A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece. Energy Policy 2012:52:522–530. https://doi.org/10.1016/j.enpol.2012.09.074 Search in Google Scholar

[36] Mastrocinque E., et al. An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector. Expert Syst Appl 2020:150:113321. https://doi.org/10.1016/j.eswa.2020.113321 Search in Google Scholar

[37] Mwanza M., Ulgen K. Sustainable electricity generation fuel mix analysis using an integration of multicriteria decision-making and system dynamic approach. International Journal of Energy Research 2020:44(12):9560–9585. https://doi.org/10.1002/er.5216 Search in Google Scholar

Artículos recomendados de Trend MD

Planifique su conferencia remota con Sciendo