IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v134y2017icp951-961.html
   My bibliography  Save this article

Market penetration modeling of high energy efficiency appliances in the residential sector

Author

Listed:
  • Radpour, Saeidreza
  • Hossain Mondal, Md Alam
  • Kumar, Amit

Abstract

The aim of this research is to model the market penetration of energy efficient appliances in the residential sector. The analysis focuses on six major appliances – refrigerators, freezers, clothes washers, clothes dryers, and ranges – to forecast their market penetration and market share during the years 2012–2050. Models were developed for each category using 22 years of historical data related to population, household income, immigration, and appliance price. These variables were selected based on the statistical tests of twelve macroeconomic variables. The market shares of high efficiency appliances were analyzed based on the related capital costs, operating costs, lifetime, and incentive. The results show that in Alberta the market penetration growth rate of dishwashers is higher than that of all other appliances, with a projected 30.52% increase between 2012 and 2050. The modeling results also indicate that the average annual energy consumption by refrigerators will decrease from 560.9 kWh in 2012 to 460.8 kWh in 2050, and this decrease indicates an annual energy efficiency improvement of 0.47%. In addition, the effect of an incentive on adopting high energy efficiency appliances and ultimately on energy efficiency improvement in Alberta is more effective for dishwashers and clothes washers.

Suggested Citation

  • Radpour, Saeidreza & Hossain Mondal, Md Alam & Kumar, Amit, 2017. "Market penetration modeling of high energy efficiency appliances in the residential sector," Energy, Elsevier, vol. 134(C), pages 951-961.
  • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:951-961
    DOI: 10.1016/j.energy.2017.06.039
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217310332
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2017.06.039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lund, P.D., 2010. "Exploring past energy changes and their implications for the pace of penetration of new energy technologies," Energy, Elsevier, vol. 35(2), pages 647-656.
    2. Hu, Zheng & Hu, Zhaoguang, 2013. "Production function with electricity consumption and its applications," Energy Economics, Elsevier, vol. 39(C), pages 313-321.
    3. Chun, Young H. & Sumichrast, Robert T., 2005. "Estimating the market shares of stores based on the shopper's search and purchase behavior," European Journal of Operational Research, Elsevier, vol. 166(2), pages 576-592, October.
    4. Jollands, Nigel & Waide, Paul & Ellis, Mark & Onoda, Takao & Laustsen, Jens & Tanaka, Kanako & de T'Serclaes, Philippine & Barnsley, Ingrid & Bradley, Rick & Meier, Alan, 2010. "The 25 IEA energy efficiency policy recommendations to the G8 Gleneagles Plan of Action," Energy Policy, Elsevier, vol. 38(11), pages 6409-6418, November.
    5. Wilkerson, Jordan T. & Cullenward, Danny & Davidian, Danielle & Weyant, John P., 2013. "End use technology choice in the National Energy Modeling System (NEMS): An analysis of the residential and commercial building sectors," Energy Economics, Elsevier, vol. 40(C), pages 773-784.
    6. McWhinney, Marla & Fanara, Andrew & Clark, Robin & Hershberg, Craig & Schmeltz, Rachel & Roberson, Judy, 2005. "ENERGY STAR product specification development framework: using data and analysis to make program decisions," Energy Policy, Elsevier, vol. 33(12), pages 1613-1625, August.
    7. Atabani, A.E. & Badruddin, Irfan Anjum & Mekhilef, S. & Silitonga, A.S., 2011. "A review on global fuel economy standards, labels and technologies in the transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4586-4610.
    8. Meng, Ming & Shang, Wei & Zhao, Xiaoli & Niu, Dongxiao & Li, Wei, 2015. "Decomposition and forecasting analysis of China's energy efficiency: An application of three-dimensional decomposition and small-sample hybrid models," Energy, Elsevier, vol. 89(C), pages 283-293.
    9. Jin, Hui & Jorgenson, Dale W., 2010. "Econometric modeling of technical change," Journal of Econometrics, Elsevier, vol. 157(2), pages 205-219, August.
    10. Kumar, V., 1994. "Forecasting performance of market share models: an assessment, additional insights, and guidelines," International Journal of Forecasting, Elsevier, vol. 10(2), pages 295-312, September.
    11. Desroches, Louis-Benoit & Garbesi, Karina & Kantner, Colleen & Van Buskirk, Robert & Yang, Hung-Chia, 2013. "Incorporating experience curves in appliance standards analysis," Energy Policy, Elsevier, vol. 52(C), pages 402-416.
    12. Westbrook, Jessica & Barter, Garrett E. & Manley, Dawn K. & West, Todd H., 2014. "A parametric analysis of future ethanol use in the light-duty transportation sector: Can the US meet its Renewable Fuel Standard goals without an enforcement mechanism?," Energy Policy, Elsevier, vol. 65(C), pages 419-431.
    13. Noori, Mehdi & Tatari, Omer, 2016. "Development of an agent-based model for regional market penetration projections of electric vehicles in the United States," Energy, Elsevier, vol. 96(C), pages 215-230.
    14. de la Rue du Can, Stephane & Leventis, Greg & Phadke, Amol & Gopal, Anand, 2014. "Design of incentive programs for accelerating penetration of energy-efficient appliances," Energy Policy, Elsevier, vol. 72(C), pages 56-66.
    15. Tonn, Bruce & Hawkins, Beth & Schweitzer, Martin & Eisenberg, Joel, 2013. "Process evaluation of the home performance with ENERGY STAR Program," Energy Policy, Elsevier, vol. 56(C), pages 371-381.
    16. Zhang, Xiaoling & Shen, Liyin & Chan, Sum Yee, 2012. "The diffusion of solar energy use in HK: What are the barriers?," Energy Policy, Elsevier, vol. 41(C), pages 241-249.
    17. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
    18. Pinto, Hugo, 2011. "The role of econometrics in economic science: An essay about the monopolization of economic methodology by econometric methods," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(4), pages 436-443, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Turki Alajmi & Patrick Phelan, 2020. "Modeling and Forecasting End-Use Energy Consumption for Residential Buildings in Kuwait Using a Bottom-Up Approach," Energies, MDPI, vol. 13(8), pages 1-19, April.
    2. Kabengele, Christian & Hahn, Rüdiger, 2021. "Institutional and firm-level factors for mobile money adoption in emerging markets–A configurational analysis," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    3. Mejia, Mario A. & Melo, Joel D. & Zambrano-Asanza, Sergio & Padilha-Feltrin, Antonio, 2020. "Spatial-temporal growth model to estimate the adoption of new end-use electric technologies encouraged by energy-efficiency programs," Energy, Elsevier, vol. 191(C).
    4. Ju-Hee Kim & Younggew Kim & Seung-Hoon Yoo, 2021. "Using a choice experiment to explore the public willingness to pay for the impacts of improving energy efficiency of an apartment," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1775-1793, October.
    5. Paola Rocchi & José Manuel Rueda-Cantuche & Alicia Boyano & Alejandro Villanueva, 2019. "Macroeconomic Effects of EU Energy Efficiency Regulations on Household Dishwashers, Washing Machines and Washer Dryers," Energies, MDPI, vol. 12(22), pages 1-21, November.
    6. Marlene Ofelia Sanchez-Escobar & Julieta Noguez & Jose Martin Molina-Espinosa & Rafael Lozano-Espinosa & Genoveva Vargas-Solar, 2021. "The Contribution of Bottom-Up Energy Models to Support Policy Design of Electricity End-Use Efficiency for Residential Buildings and the Residential Sector: A Systematic Review," Energies, MDPI, vol. 14(20), pages 1-28, October.
    7. Marlene Ofelia Sanchez-Escobar & Julieta Noguez & Jose Martin Molina-Espinosa & David Escobar-Castillejos & Sergio Ruiz-Loza, 2023. "Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings," Energies, MDPI, vol. 16(19), pages 1-39, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Radpour, S. & Gemechu, E. & Ahiduzzaman, Md & Kumar, A., 2021. "Developing a framework to assess the long-term adoption of renewable energy technologies in the electric power sector: The effects of carbon price and economic incentives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    2. Paola Rocchi & José Manuel Rueda-Cantuche & Alicia Boyano & Alejandro Villanueva, 2019. "Macroeconomic Effects of EU Energy Efficiency Regulations on Household Dishwashers, Washing Machines and Washer Dryers," Energies, MDPI, vol. 12(22), pages 1-21, November.
    3. Mejia, Mario A. & Melo, Joel D. & Zambrano-Asanza, Sergio & Padilha-Feltrin, Antonio, 2020. "Spatial-temporal growth model to estimate the adoption of new end-use electric technologies encouraged by energy-efficiency programs," Energy, Elsevier, vol. 191(C).
    4. Xian Zhao & Siqi Wang & Xiaoyue Wang, 2018. "Characteristics and Trends of Research on New Energy Vehicle Reliability Based on the Web of Science," Sustainability, MDPI, vol. 10(10), pages 1-25, October.
    5. Radpour, Saeidreza & Gemechu, Eskinder & Ahiduzzaman, Md & Kumar, Amit, 2021. "Development of a framework for the assessment of the market penetration of novel in situ bitumen extraction technologies," Energy, Elsevier, vol. 220(C).
    6. Mathews, John A. & Baroni, Paolo, 2013. "The industrial logistic surface: Displaying the impact of energy policy on uptake of new technologies," Energy, Elsevier, vol. 57(C), pages 733-740.
    7. Yaqoot, Mohammed & Diwan, Parag & Kandpal, Tara C., 2016. "Review of barriers to the dissemination of decentralized renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 477-490.
    8. Lund, Peter D., 2014. "How fast can businesses in the new energy sector grow? An analysis of critical factors," Renewable Energy, Elsevier, vol. 66(C), pages 33-40.
    9. Khanam, Momtaj & Daim, Tugrul, 2021. "A market diffusion potential (MDP) assessment model for residential energy efficient (EE) technologies in the U.S," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    10. Rana, Anber & Sadiq, Rehan & Alam, M. Shahria & Karunathilake, Hirushie & Hewage, Kasun, 2021. "Evaluation of financial incentives for green buildings in Canadian landscape," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    11. Polzin, Friedemann, 2017. "Mobilizing private finance for low-carbon innovation – A systematic review of barriers and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 525-535.
    12. Siderius, Hans-Paul, 2014. "Setting MEPS for electronic products," Energy Policy, Elsevier, vol. 70(C), pages 1-13.
    13. Rehman, Shafiqur & El-Amin, Ibrahim, 2012. "Performance evaluation of an off-grid photovoltaic system in Saudi Arabia," Energy, Elsevier, vol. 46(1), pages 451-458.
    14. Peretto, Pietro F. & Valente, Simone, 2011. "Resources, innovation and growth in the global economy," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 387-399.
    15. Gnann, Till & Stephens, Thomas S. & Lin, Zhenhong & Plötz, Patrick & Liu, Changzheng & Brokate, Jens, 2018. "What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 158-164.
    16. Brown, Marilyn A. & Li, Yufei & Soni, Anmol, 2020. "Are all jobs created equal? Regional employment impacts of a U.S. carbon tax," Applied Energy, Elsevier, vol. 262(C).
    17. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    18. Bessi, Alessandro & Guidolin, Mariangela & Manfredi, Piero, 2021. "The role of gas on future perspectives of renewable energy diffusion: Bridging technology or lock-in?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    19. Souvik Datta & Massimo Filippini, 2012. "Analysing the Impact of ENERGY STAR Rebate Policies in the US," CEPE Working paper series 12-86, CEPE Center for Energy Policy and Economics, ETH Zurich.
    20. Vaidyanathan, Geeta & Sankaranarayanan, Ramani & Yap, Nonita T., 2019. "Bridging the chasm – Diffusion of energy innovations in poor infrastructure starved communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 243-255.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:134:y:2017:i:c:p:951-961. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.