Multi-Criteria Analysis to Select Renewable Energy Solution for District Heating System
References
- [1] Lund H., Werner S., Wiltshire R. 4th Generation District heating (4GDH) Integration smart thermal grids into future suitable energy systems. Energy 2014:68:1–11. doi:10.1016/j.energy.2014.02.08910.1016/j.energy.2014.02.089
- [2] Ministry of Environmental Protection and Regional Development. Latvian National Energy and Climate Plan 2020–2030.
- [3] Data for district heating [Online]. [Accessed 15.03.2019]. Available: https://www.csb.gov.lv/lv/statistika/db
- [4] Data for projects implemented by the EU [Online]. [Accessed 15.03.2019]. Available: www.esfondi.lv
- [5] Joelsson J., Gustavsson L. Swedish biomass strategies to reduce CO2 emission and oil use in an EU context. Energy 2012:43(1):448–468. doi:10.1016/j.energy.2012.03.05010.1016/j.energy.2012.03.050
- [6] Rodzkin A., Kundas S., Charnenak Y., Khroustalev B., Wichtmann W. The Assessment of Cost of Biomass from Post-Mining Peaty Lands for Pellet Fabrication. Environmental and Climate Technologies 2018:22(1):118–131. doi:10.2478/rtuect-2018-000810.2478/rtuect-2018-0008
- [7] Ostergaard P. A., Lund H. A renewable energy system in Frederikshavn using low-temperature geothermal energy for district heating. Applied Energy 2011:88(2):479–487. doi:10.1016/j.apenergy.2010.03.01810.1016/j.apenergy.2010.03.018
- [8] Morvaj B., Evins R., Carmeliet J. Decarbonizing the electricity grid: the impact on urban energy systems, distribution grids and district heating potential. Applied Energy 2017:191:125–140. doi:10.1016/j.apenergy.2017.01.058
- [9] Mauthner F, Weiss W, Spork-Dür M. Solar heat worldwide. Markets and € contribution to the energy supply 2013. Institute for Sustainable Technologies, 2015.
- [10] European solar district heating system database [Online]. [Accessed 15.03.2019]. Available: http://solar-district-heating.eu/ServicesTools/Plantdatabase.aspx
- [11] Asadabadi M. R. The stratified multi-criteria decision-making method. Knowledge-Based Systems 2018:162:115–123. doi:10.1016/j.knosys.2018.07.00210.1016/j.knosys.2018.07.002
- [12] Zaniolo C. Expressing and supporting efficiently greedy algorithms as locally stratified logic programs, 2015. [Online] Available: http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=303696FFBF56110B156D1950B9F394B4?doi=10.1.1.699.5302&rep=rep1&type=pdf
- [13] Taha R. A., Daim T. Multi-criteria applications in renewable energy analysis, literature review. Research and technology management in the electricity industry. London: Springer-Verlag, 2013.
- [14] Wang J.-J., Jing Y.-Y., Zhang C.-F., Zhao J.-H. Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable and Sustainable Energy Reviews 2009:13(9):2263–2278. doi:10.1016/j.rser.2009.06.02110.1016/j.rser.2009.06.021
- [15] Zihare L., Blumberga L. Market Opportunities for Cellulose Products From Combined Renewable Resources. Environmental and Climate Technologies 2017:19(1):33–38. doi:10.1515/rtuect-2017-000310.1515/rtuect-2017-0003
- [16] Latosov E., Volkova A., Siirde A., Kurnitski J., Thalfeldt M. Methodological Approach to Determining the Effect of Parallel Energy Consumption on District Heating System. Environmental and Climate Technologies 2017:19(1):5–14. doi:10.1515/rtuect-2017-000110.1515/rtuect-2017-0001
- [17] European Union Emissions Trading Scheme 4 [Online]. [Accessed 01.04.2019]. Available: http://www.varam.gov.lv/lat/darbibas_veidi/emisiju_tirdznieciba/emisiju_tirdzniecibu_periodi/?doc=25877
Language: English
Page range: 101 - 109
Published on: Dec 13, 2019
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Related subjects:
© 2019 Ilze Polikarpova, Dace Lauka, Dagnija Blumberga, Edgars Vigants, published by Riga Technical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.