IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v35y2007i1p529-539.html
   My bibliography  Save this article

Long-term energy savings and greenhouse gas emission reductions in the Swiss residential sector

Author

Listed:
  • Siller, Thomas
  • Kost, Michael
  • Imboden, Dieter

Abstract

No abstract is available for this item.

Suggested Citation

  • Siller, Thomas & Kost, Michael & Imboden, Dieter, 2007. "Long-term energy savings and greenhouse gas emission reductions in the Swiss residential sector," Energy Policy, Elsevier, vol. 35(1), pages 529-539, January.
    • Handle: RePEc:eee:enepol:v:35:y:2007:i:1:p:529-539
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(05)00369-1
    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. Treffers, D. J. & Faaij, A. P. C. & Spakman, J. & Seebregts, A., 2005. "Exploring the possibilities for setting up sustainable energy systems for the long term: two visions for the Dutch energy system in 2050," Energy Policy, Elsevier, vol. 33(13), pages 1723-1743, September.
    2. Johnston, D. & Lowe, R. & Bell, M., 2005. "An exploration of the technical feasibility of achieving CO2 emission reductions in excess of 60% within the UK housing stock by the year 2050," Energy Policy, Elsevier, vol. 33(13), pages 1643-1659, September.
    3. Spreng, Daniel, 2005. "Distribution of energy consumption and the 2000 W/capita target," Energy Policy, Elsevier, vol. 33(15), pages 1905-1911, October.
    4. Jakob, Martin, 2006. "Marginal costs and co-benefits of energy efficiency investments: The case of the Swiss residential sector," Energy Policy, Elsevier, vol. 34(2), pages 172-187, January.
    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. Seyed Azad Nabavi & Alireza Aslani & Martha A. Zaidan & Majid Zandi & Sahar Mohammadi & Naser Hossein Motlagh, 2020. "Machine Learning Modeling for Energy Consumption of Residential and Commercial Sectors," Energies, MDPI, vol. 13(19), pages 1-22, October.
    2. Al-Ghandoor, A. & Jaber, J.O. & Al-Hinti, I. & Mansour, I.M., 2009. "Residential past and future energy consumption: Potential savings and environmental impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1262-1274, August.
    3. Mezősi, András & Beöthy, Ákos & Kácsor, Enikő & Törőcsik, Ágnes, 2016. "A magyarországi távhő-szabályozás modellezése. A megújuló energiára alapozott hőtermelés [Modelling policy options in the district heating sector, with a focus on renewable consumption]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1149-1176.
    4. Giraudet, Louis-Gaëtan & Guivarch, Céline & Quirion, Philippe, 2012. "Exploring the potential for energy conservation in French households through hybrid modeling," Energy Economics, Elsevier, vol. 34(2), pages 426-445.
    5. Streicher, Kai Nino & Berger, Matthias & Panos, Evangelos & Narula, Kapil & Soini, Martin Christoph & Patel, Martin K., 2021. "Optimal building retrofit pathways considering stock dynamics and climate change impacts," Energy Policy, Elsevier, vol. 152(C).
    6. Dineen, D. & Ó Gallachóir, B.P., 2017. "Exploring the range of energy savings likely from energy efficiency retrofit measures in Ireland's residential sector," Energy, Elsevier, vol. 121(C), pages 126-134.
    7. András Mezősi & Enikő Kácsor & à kos Beöthy & à gnes Törőcsik & László Szabó, 2017. "Modelling support policies and renewable energy sources deployment in the Hungarian district heating sector," Energy & Environment, , vol. 28(1-2), pages 70-87, March.
    8. Huang, Yunyou & Zhan, Jianfeng & Luo, Chunjie & Wang, Lei & Wang, Nana & Zheng, Daoyi & Fan, Fanda & Ren, Rui, 2019. "An electricity consumption model for synthesizing scalable electricity load curves," Energy, Elsevier, vol. 169(C), pages 674-683.
    9. Kannan, Ramachandran & Strachan, Neil, 2009. "Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches," Applied Energy, Elsevier, vol. 86(4), pages 416-428, April.
    10. Marcin Zygmunt & Dariusz Gawin, 2021. "Application of Artificial Neural Networks in the Urban Building Energy Modelling of Polish Residential Building Stock," Energies, MDPI, vol. 14(24), pages 1-15, December.
    11. Haiyan Duan & Shipei Zhang & Siying Duan & Weicheng Zhang & Zhiyuan Duan & Shuo Wang & Junnian Song & Xian’en Wang, 2019. "Carbon Emissions Peak Prediction and the Reduction Pathway in Buildings during Operation in Jilin Province Based on LEAP," Sustainability, MDPI, vol. 11(17), pages 1-23, August.
    12. Wang, Xiaotong & Lu, Meijun & Mao, Wei & Ouyang, Jinlong & Zhou, Bo & Yang, Yunkai, 2015. "Improving benefit-cost analysis to overcome financing difficulties in promoting energy-efficient renovation of existing residential buildings in China," Applied Energy, Elsevier, vol. 141(C), pages 119-130.
    13. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    14. Rowangould, Dana & Eldridge, Melody & Niemeier, Deb, 2013. "Incorporating regional growth into forecasts of greenhouse gas emissions from project-level residential and commercial development," Energy Policy, Elsevier, vol. 62(C), pages 1288-1300.
    15. Savvidou, Georgia & Nykvist, Björn, 2020. "Heat demand in the Swedish residential building stock - pathways on demand reduction potential based on socio-technical analysis," Energy Policy, Elsevier, vol. 144(C).
    16. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    17. zvingilaite, Erika & Klinge Jacobsen, Henrik, 2012. "Heat savings and heat generation technologies: Modelling of residential investment behaviour with local externalities," MPRA Paper 41545, University Library of Munich, Germany.
    18. Clune, Stephen & Morrissey, John & Moore, Trivess, 2012. "Size matters: House size and thermal efficiency as policy strategies to reduce net emissions of new developments," Energy Policy, Elsevier, vol. 48(C), pages 657-667.
    19. Zvingilaite, Erika & Klinge Jacobsen, Henrik, 2015. "Heat savings and heat generation technologies: Modelling of residential investment behaviour with local health costs," Energy Policy, Elsevier, vol. 77(C), pages 31-45.
    20. Kuckshinrichs, Wilhelm & Kronenberg, Tobias & Hansen, Patrick, 2010. "The social return on investment in the energy efficiency of buildings in Germany," Energy Policy, Elsevier, vol. 38(8), pages 4317-4329, August.
    21. Groesser, Stefan N., 2014. "Co-evolution of legal and voluntary standards: Development of energy efficiency in Swiss residential building codes," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 1-16.

    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. Shimada, Koji & Tanaka, Yoshitaka & Gomi, Kei & Matsuoka, Yuzuru, 2007. "Developing a long-term local society design methodology towards a low-carbon economy: An application to Shiga Prefecture in Japan," Energy Policy, Elsevier, vol. 35(9), pages 4688-4703, September.
    2. Amstalden, Roger W. & Kost, Michael & Nathani, Carsten & Imboden, Dieter M., 2007. "Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations," Energy Policy, Elsevier, vol. 35(3), pages 1819-1829, March.
    3. Wesam Salah Alaloul & Muhammad Altaf & Muhammad Ali Musarat & Muhammad Faisal Javed & Amir Mosavi, 2021. "Systematic Review of Life Cycle Assessment and Life Cycle Cost Analysis for Pavement and a Case Study," Sustainability, MDPI, vol. 13(8), pages 1-38, April.
    4. Mander, Sarah. L. & Bows, Alice & Anderson, Kevin. L. & Shackley, Simon & Agnolucci, Paolo & Ekins, Paul, 2008. "The Tyndall decarbonisation scenarios--Part I: Development of a backcasting methodology with stakeholder participation," Energy Policy, Elsevier, vol. 36(10), pages 3754-3763, October.
    5. Michael-Allan Millar & Bruce Elrick & Greg Jones & Zhibin Yu & Neil M. Burnside, 2020. "Roadblocks to Low Temperature District Heating," Energies, MDPI, vol. 13(22), pages 1-21, November.
    6. Häckel, Björn & Pfosser, Stefan & Tränkler, Timm, 2017. "Explaining the energy efficiency gap - Expected Utility Theory versus Cumulative Prospect Theory," Energy Policy, Elsevier, vol. 111(C), pages 414-426.
    7. Kumbaroğlu, Gürkan & Madlener, Reinhard, 2011. "Evaluation of Economically Optimal Retrofit Investment Options for Energy Savings in Buildings," FCN Working Papers 14/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    8. Mária Csutora & Ágnes Zsóka, 2011. "Maximizing the Efficiency of Greenhouse Gas Related Consumer Policy," Journal of Consumer Policy, Springer, vol. 34(1), pages 67-90, March.
    9. Giraudet, Louis-Gaëtan & Bourgeois, Cyril & Quirion, Philippe, 2021. "Policies for low-carbon and affordable home heating: A French outlook," Energy Policy, Elsevier, vol. 151(C).
    10. Steinberger, Julia K. & van Niel, Johan & Bourg, Dominique, 2009. "Profiting from negawatts: Reducing absolute consumption and emissions through a performance-based energy economy," Energy Policy, Elsevier, vol. 37(1), pages 361-370, January.
    11. Natarajan, Sukumar & Levermore, Geoffrey J., 2007. "Predicting future UK housing stock and carbon emissions," Energy Policy, Elsevier, vol. 35(11), pages 5719-5727, November.
    12. Caraiman Adrian-Cosmin, 2022. "Life Cycle Cost In The Built Environment In The Context Of Sustainable Development," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 298-318, August.
    13. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
    14. Zvingilaite, Erika & Klinge Jacobsen, Henrik, 2015. "Heat savings and heat generation technologies: Modelling of residential investment behaviour with local health costs," Energy Policy, Elsevier, vol. 77(C), pages 31-45.
    15. Patteeuw, Dieter & Reynders, Glenn & Bruninx, Kenneth & Protopapadaki, Christina & Delarue, Erik & D’haeseleer, William & Saelens, Dirk & Helsen, Lieve, 2015. "CO2-abatement cost of residential heat pumps with active demand response: demand- and supply-side effects," Applied Energy, Elsevier, vol. 156(C), pages 490-501.
    16. Jonas Friege & Georg Holtz & Emile Chappin, 2016. "Exploring Homeowners’ Insulation Activity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-4.
    17. Achtnicht, Martin & Madlener, Reinhard, 2014. "Factors influencing German house owners' preferences on energy retrofits," Energy Policy, Elsevier, vol. 68(C), pages 254-263.
    18. Xing Zhao & Xin Zhang, 2022. "Research on the Evaluation and Regional Differences in Carbon Emissions Efficiency of Cultural and Related Manufacturing Industries in China’s Yangtze River Basin," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    19. Galassi, Veronica & Madlener, Reinhard, 2017. "The Role of Environmental Concern and Comfort Expectations in Energy Retrofit Decisions," Ecological Economics, Elsevier, vol. 141(C), pages 53-65.
    20. Howard Kunreuther & Elke U. Weber, 2014. "Aiding Decision-Making to Reduce the Impacts of Climate Change," NBER Working Papers 19776, National Bureau of Economic Research, Inc.

    More about this item

    Statistics

    Access and download statistics

    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:enepol:v:35:y:2007:i:1:p:529-539. 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/locate/enpol .

    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.