IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v91y2015icp491-506.html
   My bibliography  Save this article

A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior

Author

Listed:
  • Yu, Biying
  • Tian, Yaming
  • Zhang, Junyi

Abstract

To reduce the continuously increasing energy consumption in the household sector, including residential and private transport sectors, it is important to design a proper policy scheme to regulate household energy demand. However, determining how to evaluate the collective effect of multiple countermeasures in one policy scheme on household energy related behavior is very challenging; furthermore, the potential interactions between policies due to the timing effect cannot be overlooked. Under these concerns, this study provides a quantitative methodology by developing a DAEDMS (dynamic active energy demand management system) that can evaluate the overall effects of urban planning, soft policies for improving household/individual awareness, technology-improvement/rebate policies, market end-use diffusion control, and social-interaction oriented policies. The timing effect is directly incorporated by allowing the free setting of the execution period for each policy. Building on this demand management system, the quantified policy schemes and the pathways that can reach the target of energy conservation become straightforward, providing helpful support for policy planning. Besides, the variant effectiveness of policy schemes due to different policy timings admonishes the policy makers to realize that the current fragmented regime of policy making between different departments is undesirable for capturing the genuine effect of all of the policies.

Suggested Citation

  • Yu, Biying & Tian, Yaming & Zhang, Junyi, 2015. "A dynamic active energy demand management system for evaluating the effect of policy scheme on household energy consumption behavior," Energy, Elsevier, vol. 91(C), pages 491-506.
  • Handle: RePEc:eee:energy:v:91:y:2015:i:c:p:491-506
    DOI: 10.1016/j.energy.2015.07.131
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215010907
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2015.07.131?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. Keirstead, James, 2006. "Evaluating the applicability of integrated domestic energy consumption frameworks in the UK," Energy Policy, Elsevier, vol. 34(17), pages 3065-3077, November.
    2. Fortes, Patrícia & Pereira, Rui & Pereira, Alfredo & Seixas, Júlia, 2014. "Integrated technological-economic modeling platform for energy and climate policy analysis," Energy, Elsevier, vol. 73(C), pages 716-730.
    3. Sapci, Onur & Considine, Timothy, 2014. "The link between environmental attitudes and energy consumption behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 52(C), pages 29-34.
    4. Jalali, Mohammad Majid & Kazemi, Ahad, 2015. "Demand side management in a smart grid with multiple electricity suppliers," Energy, Elsevier, vol. 81(C), pages 766-776.
    5. Lin, Boqiang & Yang, Fang & Liu, Xia, 2013. "A study of the rebound effect on China's current energy conservation and emissions reduction: Measures and policy choices," Energy, Elsevier, vol. 58(C), pages 330-339.
    6. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    7. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    9. Rahut, Dil Bahadur & Das, Sukanya & De Groote, Hugo & Behera, Bhagirath, 2014. "Determinants of household energy use in Bhutan," Energy, Elsevier, vol. 69(C), pages 661-672.
    10. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    11. Ohler, Adrienne M. & Billger, Sherrilyn M., 2014. "Does environmental concern change the tragedy of the commons? Factors affecting energy saving behaviors and electricity usage," Ecological Economics, Elsevier, vol. 107(C), pages 1-12.
    12. Brand, Christian & Goodman, Anna & Rutter, Harry & Song, Yena & Ogilvie, David, 2013. "Associations of individual, household and environmental characteristics with carbon dioxide emissions from motorised passenger travel," Applied Energy, Elsevier, vol. 104(C), pages 158-169.
    13. Solaymani, Saeed & Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah, 2015. "The impacts of climate change policies on the transportation sector," Energy, Elsevier, vol. 81(C), pages 719-728.
    14. Martinsson, Johan & Lundqvist, Lennart J. & Sundström, Aksel, 2011. "Energy saving in Swedish households. The (relative) importance of environmental attitudes," Energy Policy, Elsevier, vol. 39(9), pages 5182-5191, September.
    15. Freire-González, Jaume, 2011. "Methods to empirically estimate direct and indirect rebound effect of energy-saving technological changes in households," Ecological Modelling, Elsevier, vol. 223(1), pages 32-40.
    16. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    17. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    18. Han, Shuo & Zhuang, Fuzhen & He, Qing & Shi, Zhongzhi & Ao, Xiang, 2014. "Energy model for rumor propagation on social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 99-109.
    19. Emeakaroha, Anthony & Ang, Chee Siang & Yan, Yong & Hopthrow, Tim, 2014. "Integrating persuasive technology with energy delegates for energy conservation and carbon emission reduction in a university campus," Energy, Elsevier, vol. 76(C), pages 357-374.
    20. Biying, Yu & Zhang, Junyi & Fujiwara, Akimasa, 2012. "Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects," Energy Policy, Elsevier, vol. 46(C), pages 319-334.
    21. Fernandez, Carmen & Koop, Gary & Steel, Mark F.J., 2005. "Alternative efficiency measures for multiple-output production," Journal of Econometrics, Elsevier, vol. 126(2), pages 411-444, June.
    22. Gaspar, Rui & Antunes, Dalila, 2011. "Energy efficiency and appliance purchases in Europe: Consumer profiles and choice determinants," Energy Policy, Elsevier, vol. 39(11), pages 7335-7346.
    23. Erling Holden & Kristin Linnerud, 2010. "Environmental attitudes and household consumption: an ambiguous relationship," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 13(3), pages 217-231.
    24. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    25. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    26. Ozaki, Ritsuko & Sevastyanova, Katerina, 2011. "Going hybrid: An analysis of consumer purchase motivations," Energy Policy, Elsevier, vol. 39(5), pages 2217-2227, May.
    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. Besagni, Giorgio & Premoli Vilà, Lidia & Borgarello, Marco & Trabucchi, Andrea & Merlo, Marco & Rodeschini, Jacopo & Finazzi, Francesco, 2021. "Electrification pathways of the Italian residential sector under socio-demographic constrains: Looking towards 2040," Energy, Elsevier, vol. 217(C).
    2. Pascal A. Schirmer & Iosif Mporas, 2019. "Statistical and Electrical Features Evaluation for Electrical Appliances Energy Disaggregation," Sustainability, MDPI, vol. 11(11), pages 1-14, June.
    3. Wang, Fei & Lu, Xiaoxing & Chang, Xiqiang & Cao, Xin & Yan, Siqing & Li, Kangping & Duić, Neven & Shafie-khah, Miadreza & Catalão, João P.S., 2022. "Household profile identification for behavioral demand response: A semi-supervised learning approach using smart meter data," Energy, Elsevier, vol. 238(PB).
    4. Mahfoud Drouaz & Bruno Colicchio & Ali Moukadem & Alain Dieterlen & Djafar Ould-Abdeslam, 2021. "New Time-Frequency Transient Features for Nonintrusive Load Monitoring," Energies, MDPI, vol. 14(5), pages 1-11, March.
    5. Memon, Abdul Jabbar & Shaikh, Muhammad Mujtaba, 2016. "Confidence bounds for energy conservation in electric motors: An economical solution using statistical techniques," Energy, Elsevier, vol. 109(C), pages 592-601.
    6. Meltem Ucal, 2017. "Energy-saving behavior of Turkish women: A consumer survey on the use of home appliances," Energy & Environment, , vol. 28(7), pages 775-807, November.
    7. Yu, Biying & Zhang, Junyi & Li, Xia, 2017. "Dynamic life course analysis on residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 281-292.

    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. Ohler, Adrienne M. & Billger, Sherrilyn M., 2014. "Does environmental concern change the tragedy of the commons? Factors affecting energy saving behaviors and electricity usage," Ecological Economics, Elsevier, vol. 107(C), pages 1-12.
    2. Fiorillo, Damiano & Sapio, Alessandro, 2019. "Energy saving in Italy in the late 1990s: Which role for non-monetary motivations?," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    3. Sweeney, Jillian C. & Kresling, Johannes & Webb, Dave & Soutar, Geoffrey N. & Mazzarol, Tim, 2013. "Energy saving behaviours: Development of a practice-based model," Energy Policy, Elsevier, vol. 61(C), pages 371-381.
    4. Yue, Ting & Long, Ruyin & Chen, Hong, 2013. "Factors influencing energy-saving behavior of urban households in Jiangsu Province," Energy Policy, Elsevier, vol. 62(C), pages 665-675.
    5. Trotta, Gianluca, 2018. "Factors affecting energy-saving behaviours and energy efficiency investments in British households," Energy Policy, Elsevier, vol. 114(C), pages 529-539.
    6. Zhen Hu & Mei Wang & Zhe Cheng, 2022. "Mapping the knowledge development and trend of household energy consumption," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6053-6071, May.
    7. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    8. Li, Ke & Lin, Boqiang, 2015. "Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies," Applied Energy, Elsevier, vol. 149(C), pages 148-160.
    9. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    10. Schleich, Joachim & Faure, Corinne & Guetlein, Marie-Charlotte & Tu, Gengyang, 2020. "Conveyance, envy, and homeowner choice of appliances," Energy Economics, Elsevier, vol. 89(C).
    11. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy Demand Management and Social Norms," Energies, MDPI, vol. 13(15), pages 1-20, July.
    12. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    13. Dieckhoener, Caroline & Hecking, Harald, 2012. "Greenhouse Gas Abatement Cost Curves of the Residential Heating Market – a Microeconomic Approach," EWI Working Papers 2012-16, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    14. Olsthoorn, Mark & Schleich, Joachim & Faure, Corinne, 2019. "Exploring the diffusion of low-energy houses: An empirical study in the European Union," Energy Policy, Elsevier, vol. 129(C), pages 1382-1393.
    15. Vásquez Lavin, Felipe & Barrientos, Manuel & Castillo, Álvaro & Herrera, Iván & Ponce Oliva, Roberto D., 2020. "Firewood certification programs: Key attributes and policy implications," Energy Policy, Elsevier, vol. 137(C).
    16. Lanz, Bruno & Wurlod, Jules-Daniel & Panzone, Luca & Swanson, Timothy, 2018. "The behavioral effect of Pigovian regulation: Evidence from a field experiment," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 190-205.
    17. Laura Abrardi, 2019. "Behavioral barriers and the energy efficiency gap: a survey of the literature," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 25-43, March.
    18. Babutsidze, Zakaria & Chai, Andreas, 2018. "Look at me Saving the Planet! The Imitation of Visible Green Behavior and its Impact on the Climate Value-Action Gap," Ecological Economics, Elsevier, vol. 146(C), pages 290-303.
    19. Wen, Fenghua & Ye, Zhengke & Yang, Huaidong & Li, Ke, 2018. "Exploring the rebound effect from the perspective of household: An analysis of China's provincial level," Energy Economics, Elsevier, vol. 75(C), pages 345-356.
    20. Marco A. Marini & Ornella Tarola & Jacques-François Thisse, 2020. "Is Environmentalism the Right Strategy to Decarbonize the World?," Working Papers 2020.31, Fondazione Eni Enrico Mattei.

    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:91:y:2015:i:c:p:491-506. 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.