IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v87y2010i6p1944-1952.html
   My bibliography  Save this article

Prediction of greenhouse gas reduction potential in Japanese residential sector by residential energy end-use model

Author

Listed:
  • Shimoda, Yoshiyuki
  • Yamaguchi, Yukio
  • Okamura, Tomo
  • Taniguchi, Ayako
  • Yamaguchi, Yohei

Abstract

A model is developed that simulates nationwide energy consumption of the residential sector by considering the diversity of household and building types. Since this model can simulate the energy consumption for each household and building category by dynamic energy use based on the schedule of the occupants' activities and a heating and cooling load calculation model, various kinds of energy-saving policies can be evaluated with considerable accuracy. In addition, the average energy efficiency of major electric appliances used in the residential sector and the percentages of housing insulation levels of existing houses is predicted by the "stock transition model." In this paper, energy consumption and CO2 emissions in the Japanese residential sector until 2025 are predicted. For example, as a business - as-usual (BAU) case, CO2 emissions will be reduced by 7% from the 1990 level. Also evaluated are mitigation measures such as the energy efficiency standard for home electric appliances, thermal insulation code, reduction of standby power, high-efficiency water heaters, energy-efficient behavior of occupants, and dissemination of photovoltaic panels.

Suggested Citation

  • Shimoda, Yoshiyuki & Yamaguchi, Yukio & Okamura, Tomo & Taniguchi, Ayako & Yamaguchi, Yohei, 2010. "Prediction of greenhouse gas reduction potential in Japanese residential sector by residential energy end-use model," Applied Energy, Elsevier, vol. 87(6), pages 1944-1952, June.
  • Handle: RePEc:eee:appene:v:87:y:2010:i:6:p:1944-1952
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(09)00465-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Ashina, Shuichi & Nakata, Toshihiko, 2008. "Energy-efficiency strategy for CO2 emissions in a residential sector in Japan," Applied Energy, Elsevier, vol. 85(2-3), pages 101-114, February.
    2. Shimoda, Yoshiyuki & Asahi, Takahiro & Taniguchi, Ayako & Mizuno, Minoru, 2007. "Evaluation of city-scale impact of residential energy conservation measures using the detailed end-use simulation model," Energy, Elsevier, vol. 32(9), pages 1617-1633.
    Full references (including those not matched with items on IDEAS)

    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. Pereira, Iraci Miranda & Assis, Eleonora Sad de, 2013. "Urban energy consumption mapping for energy management," Energy Policy, Elsevier, vol. 59(C), pages 257-269.
    2. Estiri, Hossein, 2014. "Building and household X-factors and energy consumption at the residential sector," Energy Economics, Elsevier, vol. 43(C), pages 178-184.
    3. Ren, Hongbo & Gao, Weijun & Zhou, Weisheng & Nakagami, Ken'ichi, 2009. "Multi-criteria evaluation for the optimal adoption of distributed residential energy systems in Japan," Energy Policy, Elsevier, vol. 37(12), pages 5484-5493, December.
    4. Zou, Chenchen & Ma, Minda & Zhou, Nan & Feng, Wei & You, Kairui & Zhang, Shufan, 2023. "Toward carbon free by 2060: A decarbonization roadmap of operational residential buildings in China," Energy, Elsevier, vol. 277(C).
    5. Kwonsik Song & Kyle Anderson & SangHyun Lee & Kaitlin T. Raimi & P. Sol Hart, 2020. "Non-Invasive Behavioral Reference Group Categorization Considering Temporal Granularity and Aggregation Level of Energy Use Data," Energies, MDPI, vol. 13(14), pages 1-21, July.
    6. Kudela, Peter & Havranek, Tomas & Herman, Dominik & Irsova, Zuzana, 2020. "Does daylight saving time save electricity? Evidence from Slovakia," Energy Policy, Elsevier, vol. 137(C).
    7. Matthew J. Kotchen & Laura E. Grant, 2011. "Does Daylight Saving Time Save Energy? Evidence from a Natural Experiment in Indiana," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1172-1185, November.
    8. Yamaguchi, Yohei & Shoda, Yuto & Yoshizawa, Shinya & Imai, Tatsuya & Perwez, Usama & Shimoda, Yoshiyuki & Hayashi, Yasuhiro, 2023. "Feasibility assessment of net zero-energy transformation of building stock using integrated synthetic population, building stock, and power distribution network framework," Applied Energy, Elsevier, vol. 333(C).
    9. Hamed Nabizadeh Rafsanjani & Changbum R. Ahn & Mahmoud Alahmad, 2015. "A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings," Energies, MDPI, vol. 8(10), pages 1-34, October.
    10. Frayssinet, Loïc & Merlier, Lucie & Kuznik, Frédéric & Hubert, Jean-Luc & Milliez, Maya & Roux, Jean-Jacques, 2018. "Modeling the heating and cooling energy demand of urban buildings at city scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2318-2327.
    11. Dirks, James A. & Gorrissen, Willy J. & Hathaway, John H. & Skorski, Daniel C. & Scott, Michael J. & Pulsipher, Trenton C. & Huang, Maoyi & Liu, Ying & Rice, Jennie S., 2015. "Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach," Energy, Elsevier, vol. 79(C), pages 20-32.
    12. Cagno, Enrico & Trianni, Andrea, 2013. "Exploring drivers for energy efficiency within small- and medium-sized enterprises: First evidences from Italian manufacturing enterprises," Applied Energy, Elsevier, vol. 104(C), pages 276-285.
    13. Wang, Hengxuan & Sumiyoshi, Daisuke, 2024. "Development of electricity simulation model of urban houses and evaluating surplus electricity of photovoltaics (PV) considering housing stock transformation," Applied Energy, Elsevier, vol. 363(C).
    14. Song, Kwonsik & Anderson, Kyle & Lee, SangHyun, 2020. "An energy-cyber-physical system for personalized normative messaging interventions: Identification and classification of behavioral reference groups," Applied Energy, Elsevier, vol. 260(C).
    15. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    16. Yun, Geun Young & Steemers, Koen, 2011. "Behavioural, physical and socio-economic factors in household cooling energy consumption," Applied Energy, Elsevier, vol. 88(6), pages 2191-2200, June.
    17. Awad Momani, Mohammad & Yatim, Baharudin & Ali, Mohd Alauddin Mohd, 2009. "The impact of the daylight saving time on electricity consumption--A case study from Jordan," Energy Policy, Elsevier, vol. 37(5), pages 2042-2051, May.
    18. Yu, Zhun (Jerry) & Haghighat, Fariborz & Fung, Benjamin C.M. & Morofsky, Edward & Yoshino, Hiroshi, 2011. "A methodology for identifying and improving occupant behavior in residential buildings," Energy, Elsevier, vol. 36(11), pages 6596-6608.
    19. Hirano, Y. & Fujita, T., 2012. "Evaluation of the impact of the urban heat island on residential and commercial energy consumption in Tokyo," Energy, Elsevier, vol. 37(1), pages 371-383.
    20. Difs, Kristina & Bennstam, Marcus & Trygg, Louise & Nordenstam, Lena, 2010. "Energy conservation measures in buildings heated by district heating – A local energy system perspective," Energy, Elsevier, vol. 35(8), pages 3194-3203.

    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:appene:v:87:y:2010:i:6:p:1944-1952. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.