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Ex Post Evaluation of Large Electricity Consumer Policy Measures Cover

Ex Post Evaluation of Large Electricity Consumer Policy Measures

Environmental and Climate Technologies
Volume 26 (2022): Issue 1 (January 2022)
By:
Open Access
|Jan 2022

References

  1. [1] The Intergovernmental Panel on Climate Change Reports. Global Warming of 1.5 °C. Geneva: IPCC, 2019.
    Search in Google ScholarBack to article
  2. [2] The EU 2030 climate & energy framework [Online]. [Accessed 11.02.2021]. Aviable: https://ec.europa.eu/clima/policies/strategies/2030_en
    Search in Google ScholarBack to article
  3. [3] A Europen Green deal [Online]. [Accessed 11.02.2021]. Aviable: https://ec.europa.eu/info/strategy/priorities-2019-2024/european-green-deal_en
    Search in Google ScholarBack to article
  4. [4] Directive 2018/2002 of the European Parliament and of the Council of 11 December 2018 amending Directive 2012/27/EU on energy efficiency. Official Journal of European Union 2018: L 328/210
    Search in Google ScholarBack to article
  5. [5] Safarzadeh S., Rasti-Barzoki M. A duopolistic game for designing a comprehensive energy-efficiency scheme regarding consumer features: Which energy policy is the best? Journal of Cleaner Production 2020:255:120195. https://doi.org/10.1016/j.jclepro.2020.12019510.1016/j.jclepro.2020.120195
    Search in Google ScholarBack to article
  6. [6] Zhang Y., Xiao C., Zhou G. Willingness to pay a price premium for energy-saving appliances: Role of perceived value and energy efficiency labelling. Journal of Cleaner Production 2020:242:118555. https://doi.org/10.1016/j.jclepro.2019.11855510.1016/j.jclepro.2019.118555
    Search in Google ScholarBack to article
  7. [7] Zheng Q., Lin B. Impact of industrial agglomeration on energy efficiency in China’s paper industry. Journal of Cleaner Production 2018:184:1072–1080. https://doi.org/10.1016/j.jclepro.2018.03.01610.1016/j.jclepro.2018.03.016
    Search in Google ScholarBack to article
  8. [8] Bertoldi P., Mosconi R. Do energy efficiency policies save energy? A new approach based on energy policy indicators (in the EU Member States). Energy Policy 2020:139:111320. https://doi.org/10.1016/j.enpol.2020.11132010.1016/j.enpol.2020.111320
    Search in Google ScholarBack to article
  9. [9] Malinauskaite J., et al. Energy efficiency in industry: EU and national policies in Italy and the UK. Energy 2019:172:255–269. https://doi.org/10.1016/j.energy.2019.01.13010.1016/j.energy.2019.01.130
    Search in Google ScholarBack to article
  10. [10] Fawcett T., Hampton S. Why & how energy efficiency policy should address SMEs. Energy Policy 2020:140:111337. https://doi.org/10.1016/j.enpol.2020.11133710.1016/j.enpol.2020.111337
    Search in Google ScholarBack to article
  11. [11] Objectives of the Better Regulation agenda [Online]. [Accessed 11.02.2021]. Available: https://ec.europa.eu/info/law/law-making-process/planning-and-proposing-law/better-regulation-why-and-how_en
    Search in Google ScholarBack to article
  12. [12] Better regulation: guidelines and toolbox [Online]. [Accessed 11.02.2021]. Available: https://ec.europa.eu/info/law/law-making-process/planning-and-proposing-law/better-regulation-why-and-how/better-regulation-guidelines-and-toolbox_en
    Search in Google ScholarBack to article
  13. [13] Webber P., Gouldson A., Kerr N. The impacts of household retrofit and domestic energy efficiency schemes: A large scale, ex post evaluation. Energy Policy 2015:84:35–43. https://doi.org/10.1016/j.enpol.2015.04.02010.1016/j.enpol.2015.04.020
    Search in Google ScholarBack to article
  14. [14] Liu Y., et al. Developing a methodology for the ex-post assessment of Building Energy Efficiency Special Planning in Beijing during the 12th Five-Year Plan” period. Journal of Cleaner Production 2019:216:552–569. https://doi.org/10.1016/j.jclepro.2018.12.08610.1016/j.jclepro.2018.12.086
    Search in Google ScholarBack to article
  15. [15] Harmelink M., Nilsson L., Harmsen R. Theory-based policy evaluation of 20 energy efficiency instruments. Energy Efficiency 2008:1:131–148.10.1007/s12053-008-9007-9
    Search in Google ScholarBack to article
  16. [16] Zlaugotne B., et al. Multi-Criteria Decision Analysis Methods Comparison. Environmental and Climate Technologies 2020:24:454–471. https://doi.org/10.2478/rtuect-2020-002810.2478/rtuect-2020-0028
    Search in Google ScholarBack to article
  17. [17] Si T., et al. Multi-criteria comprehensive energy efficiency assessment based on fuzzy-AHP method: A case study of post-treatment technologies for coal-fired units. Energy 2020:200:117533. https://doi.org/10.1016/j.energy.2020.11753310.1016/j.energy.2020.117533
    Search in Google ScholarBack to article
  18. [18] Diaby V., Campbell K., Goeree R. Multi-criteria decision analysis (MCDA) in health care: A bibliometric analysis. Operations Research for Health Care 2013:2(1–2):20–24. https://doi.org/10.1016/j.orhc.2013.03.00110.1016/j.orhc.2013.03.001
    Search in Google ScholarBack to article
  19. [19] Beşikçi E. B., et al. An application of fuzzy-AHP to ship operational energy efficiency measures. Ocean Engineering 2016L121:392–402. https://doi.org/10.1016/j.oceaneng.2016.05.03110.1016/j.oceaneng.2016.05.031
    Search in Google ScholarBack to article
  20. [20] Priyadarshini M., et al. Multi-objective optimization of turning process using fuzzy-TOPSIS analysis. Materials Today 2020:33(8):5076–5080. https://doi.org/10.1016/j.matpr.2020.02.84710.1016/j.matpr.2020.02.847
    Search in Google ScholarBack to article
  21. [21] Li Y., et al. Estimation of remote sensing based ecological index along the Grand Canal based on PCA-AHP-TOPSIS methodology. Ecological Indicators 2021:122:107214. https://doi.org/10.1016/j.ecolind.2020.10721410.1016/j.ecolind.2020.107214
    Search in Google ScholarBack to article
  22. [22] Sedghiyan D., et al. Prioritization of renewable energy resources in five climate zones in Iran using AHP, hybrid AHP-TOPSIS and AHP-SAW methods. Sustainable Energy Technology Assessments 2021:44:101045. https://doi.org/10.1016/j.seta.2021.10104510.1016/j.seta.2021.101045
    Search in Google ScholarBack to article
  23. [23] ALTUM. ALTUM companies will cover the costs of energy audits; the first beneficiary - Talsi Bio-Energy [Online]. [Accessed 01.10.2021]. Available: https://www.altum.lv/lv/jaunumi/altum-uznemumiem-segs-izmaksas-par-energoauditu-pirmais-atbalsta-sanemejs-talsu-bio-energija (in Latvian)
    Search in Google ScholarBack to article
DOI: https://doi.org/10.2478/rtuect-2022-0002 | Journal eISSN: 2255-8837 | Journal ISSN: 1691-5208
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Language: English
Page range: 12 - 24
Published on: Jan 24, 2022
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Keywords:
Analytic hierarchy process (AHP),
energy efficiency,
energy policy analyses,
energy savings,
technique for order of preference by similarity to ideal solution (TOPSIS)
Related subjects:
Life sciences,
Life sciences, other

© 2022 Anrijs Tukulis, Andra Blumberga, Uldis Bariss, Dagnija Blumberga, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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