Have a personal or library account? Click to login
Estimation of Carbon Emission Reduction from Upgrading the DH Network to the 4th Generation. Multivariate Linear Regression Model Cover

Estimation of Carbon Emission Reduction from Upgrading the DH Network to the 4th Generation. Multivariate Linear Regression Model

Open Access
|Nov 2019

References

  1. [1] 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
  2. [2] Directive 2012/27/EU of the European Parliament and of the Council of 25 October 2012 on energy efficiency, amending Directives 2009/125/EC and 2010/30/EU and repealing Directives 2004/8/EC and 2006/32/ECE. Official Journal of the European Union 2012:L315/1.
  3. [3] Energy efficiency law. Latvijas Vestnesis 2016:2(5624).
  4. [4] 2030 climate & energy framework [Online]. [Accessed 02.02.2019]. Available: https://ec.europa.eu/clima/policies/strategies/2030_en
  5. [5] Proposal for a Directive of the European Parliament and of the Council amending Directive 2009/28 / EC of the European Parliament and of the Council on the promotion of the use of energy from renewable sources [Online]. [Accessed 02.02.2019]. Available: https://eur-lex.europa.eu/resource.html?uri=cellar:1907bfec-b7e9-11e6-9e3c-01aa75ed71a1.0007.02/DOC_1&format=PDF
  6. [6] Østergaard A. P., Mathiesen B. V., Möller B., Lund H. A renewable energy scenario for Aalborg municipality based on low-temperature geothermal heat, wind power and biomass. Energy 2010:35(2):4892–4901. doi:10.1016/j.energy.2010.08.04110.1016/j.energy.2010.08.041
  7. [7] Østergaard 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. [8] Lund H. Renewable energy strategies for sustainable development. Energy 2007:32(6):912–919. doi:10.1016/j.energy.2006.10.01710.1016/j.energy.2006.10.017
  9. [9] Paiho S., Saastamoinen H. How to develop district heating in Finland? Energy Policy 2018:122:668–676. doi:10.1016/j.enpol.2018.08.02510.1016/j.enpol.2018.08.025
  10. [10] Latõšov E., Volkova A., Siirde A., Kurnitski J., Thalfeldt M. Primary energy factor for district heating networks in European Union member states. Energy Procedia 2017:116:69–77. doi:10.1016/j.egypro.2017.05.05610.1016/j.egypro.2017.05.056
  11. [11] Hast A., Syri S., Lekavicius V., Galinis A. District heating in cities as a part of low-carbon energy system. Energy 2018:152:627–639. doi:10.1016/j.energy.2018.03.15610.1016/j.energy.2018.03.156
  12. [12] Lund H., et al. 4th Generation District Heating (4GDH). Integrating smart thermal grids into future sustainable energy systems. Energy 2014:68:1–11. doi:10.1016/j.energy.2014.02.08910.1016/j.energy.2014.02.089
  13. [13] Latosov E., Volkova A., Siirde A., Thalfeldt M., Kurnitski J. The Impact of Parallel Energy Consumption on the District Heating Networks. Environmental and Climate Technologies 2019:23(1):1–13. doi:10.2478/rtuect-2019-000110.2478/rtuect-2019-0001
  14. [14] Rama M., Sipila K. Transition to low temperature distribution in existing systems. Energy Procedia 2017:116:58–68. doi:10.1016/j.egypro.2017.05.05510.1016/j.egypro.2017.05.055
  15. [15] Fenton P., Gustafsson S., Ivner J., Palm J. Sustainable Energy and Climate Strategies: lessons from planning processes in five municipalities. Journal of Cleaner Production 2015:98:213–221. doi:10.1016/j.jclepro.2014.08.00110.1016/j.jclepro.2014.08.001
  16. [16] Schuchardt G. K. Integration of decentralized thermal storages within district heating (DH) networks. Environmental and Climate Technologies 2016:18(1):5–16. doi:10.1515/rtuect-2016-000910.1515/rtuect-2016-0009
  17. [17] DH development programm “Modellvorhaben Wärmenetzsysteme 4.0” [Online]. [Accessed 02.02.2019]. Available: http://www.bafa.de/DE/Energie/Energieeffizienz/Waermenetze/waermenetzenode.html
  18. [18] Konidari P., Mavrakis D. A multi-criteria evaluation method for climate change mitigation policy instruments. Energy Policy 2007:35(12):6235–6257. doi:10.1016/j.enpol.2007.07.00710.1016/j.enpol.2007.07.007
  19. [19] Babatundea K. A., Begumc R. A., Saida F. F. Application of computable general equilibrium (CGE) to climate change mitigation policy. Renewable and Sustainable Energy Reviews 2017:78(C):61–71. doi:10.1016/j.rser.2017.04.06410.1016/j.rser.2017.04.064
  20. [20] Choi J. K., Bakshi B. R., Hubacek K., Nader J. A sequential input–output framework to analyze the economic and environmental implications of energy policies: Gas taxes and fuel subsidies. Applied Energy 2016:184:830–39. doi:10.1016/j.apenergy.2016.05.03310.1016/j.apenergy.2016.05.033
  21. [21] Cilinskis E., Ziemele J., Blumberga A., Blumberga D. Analysis of support measures for promoting energy efficiency and renewables for GHG emissions reduction in non-ETS sector. Energy Procedia 2017:142:2838–2843. doi:10.1016/j.egypro.2017.12.43010.1016/j.egypro.2017.12.430
  22. [22] Central Statistical Bureau of Latvia. ENG020. Energy balance, TJ, thsd toe (NACE Rev. 2) [Online]. [Accessed 02.02.2019] Available: https://data1.csb.gov.lv/pxweb/en/vide/vide__energetika__ikgad/ENG020.px/
  23. [23] Muizniece I., Gravelsins A., Brauners I., Blumberga A., Blumberga D. Innovative bioproducts from forest biomass. Method of analysis. Energy Procedia 2017:113:434–441. doi:10.1016/j.egypro.2017.04.03510.1016/j.egypro.2017.04.035
  24. [24] Castro Flores J. F., Lacarrière B., Chiu J. N. W., Martin V. Assessing the techno-economic impact of low-temperature subnets in conventional district heating networks. Energy Procedia 2017:116:260–272. doi:10.1016/j.egypro.2017.05.07310.1016/j.egypro.2017.05.073
  25. [25] James G., Witten D., Hastie T., Tibshirani R. An Introduction to Statistical Learning with Applications in R. New York: Springer, 2013. doi:10.1007/978-1-4614-7138-710.1007/978-1-4614-7138-7
DOI: https://doi.org/10.2478/rtuect-2019-0055 | Journal eISSN: 2255-8837 | Journal ISSN: 1691-5208
Language: English
Page range: 64 - 73
Published on: Nov 18, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2019 Ieva Pakere, Dace Lauka, Dagnija Blumberga, published by Riga Technical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.