Open Access

Methodology of Indicative Analysis to Determine the Municipal Units for Implementation of the Energy-Saving Strategy

Environmental and Climate Technologies's Cover Image
Environmental and Climate Technologies
SPECIAL ISSUE OF ENVIRONMENTAL AND CLIMATE TECHNOLOGIES PART I: The Green Deal Umbrella for Environmental and Climate Technologies

Cite

[1] Ziemele J., Gravelsins A., Blumberga A., Blumberga D. The effect of energy efficiency improvements on the development of 4th generation district heating. Energy Procedia 2016:95:522–527. https://doi.org/10.1016/j.egypro.2016.09.07910.1016/j.egypro.2016.09.079Search in Google Scholar

[2] Vigants E., Prodanuks T., Vigants G., Veidenberg I., Blumberga D. Modelling of Technological Solutions 4th Generation DH Systems. Environmental and Climate Technologies 2017:20(1):5–23. https://doi.org/10.1515/rtuect-2017-000710.1515/rtuect-2017-0007Search in Google Scholar

[3] Volkova A., Masatin V., Siirde A. Methodology for evaluating the transition process dynamics towards 4th generation district heating networks. Energy 2018:150:253–261. https://doi.org/10.1016/j.energy.2018.02.12310.1016/j.energy.2018.02.123Search in Google Scholar

[4] Lund H., et al. The status of 4th generation district heating: Research and results. Energy 2018:164:147–159. https://doi.org/10.1016/j.energy.2018.08.20610.1016/j.energy.2018.08.206Search in Google Scholar

[5] Cimdina G., Timma L., Veidenbergs I., Blumberga D. Environmental and Climate Technologies Methodologies Used for Scaling-up From a Single Energy Production Unit to State Energy Sector. Environmental and Climate Technologies 2015:15(1):5–21. https://doi.org/10.1515/rtuect-2015-000210.1515/rtuect-2015-0002Search in Google Scholar

[6] Blumberga A., Lauka D., Barisa A., Blumberga D. Modelling the Baltic power system till 2050. Energy Conversion and Management 2016:107:67–75. https://doi.org/10.1016/j.enconman.2015.09.00510.1016/j.enconman.2015.09.005Search in Google Scholar

[7] Pakere I., Lauka D., Blumberga D. Estimation of Carbon Emission Reduction from Upgrading the DH Network to the 4th Generation. Multivariate Linear Regression Model. Environmental and Climate Technologies 2019:23(2):64–73. https://doi.org/10.2478/rtuect-2019-005510.2478/rtuect-2019-0055Search in Google Scholar

[8] Polikarpova I., Lauka D., Blumberga D., Vigants E. Multi-Criteria Analysis to Select Renewable Energy Solution for District Heating System. Environmental and Climate Technologies 2019:23(3):101–109. https://doi.org/10.2478/rtuect-2019-008210.2478/rtuect-2019-0082Search in Google Scholar

[9] Mednikova E., Stennikov V., Postnikov I., Penkovskii A. Development Features of Heat Power Industry Legislation in Russia. Environmental and Climate Technologies 2019:23(2):22–35. https://doi.org/10.2478/rtuect-2019-005210.2478/rtuect-2019-0052Search in Google Scholar

[10] Nielsena B. F., Baerb D., Lindkvista C. Identifying and supporting exploratory and exploitative models of innovation in municipal urban planning; key challenges from seven Norwegian energy ambitious neighborhood pilots. Technological Forecasting & Social Change 2019:142:142–153. https://doi.org/10.1016/j.techfore.2018.11.00710.1016/j.techfore.2018.11.007Search in Google Scholar

[11] Institutional pathways to municipal energy companies in the UK: Realising co-benefits to mitigate climate change in cities. Journal of Cleaner Production 2018:182:727–736. https://doi.org/10.1016/j.jclepro.2018.02.00210.1016/j.jclepro.2018.02.002Search in Google Scholar

[12] Neves D., Baptista P., Simoes M., Silva C. A., Figueira J.R. Designing a municipal sustainable energy strategy using multi-criteria decision analysis. Journal of Cleaner Production 2018:176:251–260. https://doi.org/10.1016/j.jclepro.2017.12.11410.1016/j.jclepro.2017.12.114Search in Google Scholar

[13] Ziemele J., Gravelsins A., Blumberga A., Blumberga D. Combining energy efficiency at source and at consumer to reach 4th generation district heating: Economic and system dynamics analysis. Energy 2017:137:595–606. https://doi.org/10.1016/j.energy.2017.04.12310.1016/j.energy.2017.04.123Search in Google Scholar

[14] Ziemele J., Gravelsins A., Blumberga A., Blumberga D. Decomposition analysis of district heating system based on complemented Kaya identity. Energy Procedia 2015:75:1229–1234. https://doi.org/10.1016/j.egypro.2015.07.16410.1016/j.egypro.2015.07.164Search in Google Scholar

[15] Vakulenko I., Myroshnychenko I. Approaches to the Organization of the Energy Efficient Activity at the Regional Level in the Context of Limited Budget Resources during the Transformation of Energy Market Paradigm. Environmental and Climate Technologies 2015:15(1):59–76. https://doi.org/10.1515/rtuect-2015-000610.1515/rtuect-2015-0006Search in Google Scholar

[16] Prodanuks T., Blumberga D. Methodology of municipal energy plans. Priorities for sustainability. Energy Procedia 2018:147:594–599. https://doi.org/10.1016/j.egypro.2018.07.07610.1016/j.egypro.2018.07.076Search in Google Scholar

[17] Kavals E., Klavnieks K., Gusca J., Blumberga D. Indicator analysis of integrated municipal waste management system. Case of study of Latvia. Energy Procedia 2018:147:227–234. https://doi.org/10.1016/j.egypro.2018.07.08610.1016/j.egypro.2018.07.086Search in Google Scholar

[18] Long-term targeted program “Energy-saving and enhancement of the energy performances on the territory of Irkutsk region in 2011–2015 and for the period till 2020”. [Online]. [Accessed 10.11.2019]. Available: https://gisee.ru/law/programs/47135Search in Google Scholar

[19] Pohekar S. D., Ramachandran M. Application of multi-criteria decision making to sustainable energy planning – A review. Renewable and Sustainable Energy Reviews 2004:8(4):365–381. https://doi.org/10.1016/j.rser.2003.12.00710.1016/j.rser.2003.12.007Search in Google Scholar

[20] Løken, E. Use of multicriteria decision analysis methods for energy planning problems. Renewable and Sustainable Energy Reviews. 2007:11(7):1584–1595. https://doi.org/10.1016/j.rser.2005.11.00510.1016/j.rser.2005.11.005Search in Google Scholar

[21] 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. https://doi.org/10.1016/j.rser.2009.06.02110.1016/j.rser.2009.06.021Search in Google Scholar

[22] Adem Esmail B., Geneletti D. Multi-criteria decision analysis for nature conservation: A review of 20 years of applications. Methods in Ecology and Evolution 2018:9(1):42–53. https://doi.org/10.1111/2041-210X.1289910.1111/2041-210X.12899Search in Google Scholar

[23] Larichev O. I. Theory and decision-making methods: textbook. Moscow: Logos, 2002.Search in Google Scholar

[24] Mikoni S. V. Multicriteria choice on a finite set of alternatives. St. Petersburg: Lan, 2009.Search in Google Scholar

[25] Hwang C. L., Yoon K. Methods for multiple attribute decision making. In Multiple attribute decision making. Berlin, Heidelberg: Springer, 1981. https://doi.org/10.1007/978-3-642-48318-910.1007/978-3-642-48318-9Search in Google Scholar

[26] Ishizaka A., Nemery P. Multi-Criteria Decision Analysis. Methods and Software. Chichester (United Kingdom): John Wiley & Sons Inc, 2013. https://doi.org/10.1002/978111864489810.1002/9781118644898Search in Google Scholar

[27] Jahanshahloo G. R., Lotfi F. H., Izadikhah M. An algorithmic method to extend TOPSIS for decision-making problems with interval data. Applied Mathematics and Computation. 2006:175(2):1375–1384. https://doi.org/10.1016/j.amc.2005.08.04810.1016/j.amc.2005.08.048Search in Google Scholar

[28] Integral assessment of social stability in municipal units of the Angara area. Analytical note. Irkutsk: Irkutskstat, 2017.Search in Google Scholar

[29] Budgets of municipal units of Irkutsk region. Analytical note. Irkutsk: Irkutskstat, 2017.Search in Google Scholar

eISSN:
2255-8837
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Life Sciences, other