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Energy efficiency policy analysis using socio-technical approach and system dynamics. Case study of lighting in Latvia's households

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  • Timma, Lelde
  • Bazbauers, Gatis
  • Bariss, Uldis
  • Blumberga, Andra
  • Blumberga, Dagnija

Abstract

Worldwide the lighting sector demands around 1/5 of total electricity used. While the diffusion of new lighting technologies occurs quickly and prices for these technologies drop, at the same time around 1/3 of households in developed European countries continue to choose incandescent light bulbs. This phenomena shows a large potential for saving electricity. Therefore, the aim of our research is to model the diffusion of innovation for energy efficiency solutions in households in Latvia. The methodology combines an empirical study with system dynamics modelling. The model showed that electricity consumption in households decreased by 14% from the year 2015 until the year 2040. The sensitivity analysis shows that changes in the parameters used in this analysis caused expected behaviour, where the uncertainly in electricity consumption in households accounted for ±16% in the year 2040. Although this developed system dynamics model was based on a specific process of diffusion of innovation, its general application to other products and services is possible, since the developed model serves as a white-box. The structure of the model can be used for other studies; the model can be enhanced with the newest results or adapted for other case studies.

Suggested Citation

  • Timma, Lelde & Bazbauers, Gatis & Bariss, Uldis & Blumberga, Andra & Blumberga, Dagnija, 2017. "Energy efficiency policy analysis using socio-technical approach and system dynamics. Case study of lighting in Latvia's households," Energy Policy, Elsevier, vol. 109(C), pages 545-554.
    • Handle: RePEc:eee:enepol:v:109:y:2017:i:c:p:545-554
    DOI: 10.1016/j.enpol.2017.07.030
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    References listed on IDEAS

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    1. Mills, Bradford & Schleich, Joachim, 2014. "Household transitions to energy efficient lighting," Energy Economics, Elsevier, vol. 46(C), pages 151-160.
    2. Khan, N. & Abas, N., 2011. "Comparative study of energy saving light sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 296-309, January.
    3. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    4. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    5. Wall, Rob & Crosbie, Tracey, 2009. "Potential for reducing electricity demand for lighting in households: An exploratory socio-technical study," Energy Policy, Elsevier, vol. 37(3), pages 1021-1031, March.
    6. Perlaviciute, G. & Steg, L., 2015. "The influence of values on evaluations of energy alternatives," Renewable Energy, Elsevier, vol. 77(C), pages 259-267.
    7. William D. Nordhaus, 1996. "Do Real-Output and Real-Wage Measures Capture Reality? The History of Lighting Suggests Not," NBER Chapters, in: The Economics of New Goods, pages 27-70, National Bureau of Economic Research, Inc.
    8. Aman, M.M. & Jasmon, G.B. & Mokhlis, H. & Bakar, A.H.A., 2013. "Analysis of the performance of domestic lighting lamps," Energy Policy, Elsevier, vol. 52(C), pages 482-500.
    9. Ringel, M., 2003. "Liberalising European electricity markets: opportunities and risks for a sustainable power sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(6), pages 485-499, December.
    10. De Almeida, Aníbal & Santos, Bruno & Paolo, Bertoldi & Quicheron, Michel, 2014. "Solid state lighting review – Potential and challenges in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 30-48.
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    2. Shuai Liu & Guoxin Jiang & Le Chang & Chao Huang, 2023. "Construction and Simulation of High-Quality Development of China’s Resource-Based Cities Driven by Innovation Based on System Dynamics," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    3. Liu, Dunnan & Xiao, Bowen, 2018. "Exploring the development of electric vehicles under policy incentives: A scenario-based system dynamics model," Energy Policy, Elsevier, vol. 120(C), pages 8-23.

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