IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v126y2014icp199-212.html
   My bibliography  Save this article

Improved photovoltaic self-consumption with appliance scheduling in 200 single-family buildings

Author

Listed:
  • Widén, Joakim

Abstract

Self-consumption of on-site photovoltaic (PV) electricity in buildings is gaining interest as a way to accommodate high PV penetrations in the power system. On markets where there is no substantial feed-in support for renewables, there is also an economic incentive for PV self-consumption, as selling prices for PV electricity are normally lower than retail electricity prices. One option for improved self-consumption is rescheduling of programmable appliances, typically washing machines, clothes dryers and dishwashers. This paper determines the potential to increase PV self-consumption through scheduling of these appliances in Swedish single-family buildings. Simulations of daily load scheduling were performed to match on-site PV power generation and recent (2008–2012) hourly electricity market prices, using a set of high-resolution (10-min) appliance load profiles from 200 monitored Swedish households. Since these data provide appliance ownership and daily appliance use patterns in a wide range of households, a realistic upper limit to the self-consumption potential is obtained. The conclusions are that load shifting can potentially increase PV self-consumption by around 200 kWh on average, corresponding to a few percent of the total PV power generation for the system sizes studied (3–9 kWp). The maximum economic benefit over the studied years was 20EUR per year and household. For the larger PV system sizes that could inject critical peak powers to the distribution grid, the peak hourly PV surplus decreased less than a few percent. The main conclusion is that there is an overall low potential for improved self-consumption through optimal scheduling of the studied appliances, at least with the current Swedish market conditions.

Suggested Citation

  • Widén, Joakim, 2014. "Improved photovoltaic self-consumption with appliance scheduling in 200 single-family buildings," Applied Energy, Elsevier, vol. 126(C), pages 199-212.
    • Handle: RePEc:eee:appene:v:126:y:2014:i:c:p:199-212
    DOI: 10.1016/j.apenergy.2014.04.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261914003419
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2014.04.008?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, 2007. "Behavioural responses to photovoltaic systems in the UK domestic sector," Energy Policy, Elsevier, vol. 35(8), pages 4128-4141, August.
    2. Paatero, Jukka V. & Lund, Peter D., 2007. "Effects of large-scale photovoltaic power integration on electricity distribution networks," Renewable Energy, Elsevier, vol. 32(2), pages 216-234.
    3. Bahaj, A.S. & James, P.A.B., 2007. "Urban energy generation: The added value of photovoltaics in social housing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(9), pages 2121-2136, December.
    4. Cappers, Peter & Goldman, Charles & Kathan, David, 2010. "Demand response in U.S. electricity markets: Empirical evidence," Energy, Elsevier, vol. 35(4), pages 1526-1535.
    5. Baetens, R. & De Coninck, R. & Van Roy, J. & Verbruggen, B. & Driesen, J. & Helsen, L. & Saelens, D., 2012. "Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation," Applied Energy, Elsevier, vol. 96(C), pages 74-83.
    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. Hu, Jianhui & Chen, Wujun & Yang, Deqing & Zhao, Bing & Song, Hao & Ge, Binbin, 2016. "Energy performance of ETFE cushion roof integrated photovoltaic/thermal system on hot and cold days," Applied Energy, Elsevier, vol. 173(C), pages 40-51.
    2. Sokolnikova, P. & Lombardi, P. & Arendarski, B. & Suslov, K. & Pantaleo, A.M. & Kranhold, M. & Komarnicki, P., 2020. "Net-zero multi-energy systems for Siberian rural communities: A methodology to size thermal and electric storage units," Renewable Energy, Elsevier, vol. 155(C), pages 979-989.
    3. Beck, T. & Kondziella, H. & Huard, G. & Bruckner, T., 2017. "Optimal operation, configuration and sizing of generation and storage technologies for residential heat pump systems in the spotlight of self-consumption of photovoltaic electricity," Applied Energy, Elsevier, vol. 188(C), pages 604-619.
    4. Tervo, Eric & Agbim, Kenechi & DeAngelis, Freddy & Hernandez, Jeffrey & Kim, Hye Kyung & Odukomaiya, Adewale, 2018. "An economic analysis of residential photovoltaic systems with lithium ion battery storage in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1057-1066.
    5. Merei, Ghada & Moshövel, Janina & Magnor, Dirk & Sauer, Dirk Uwe, 2016. "Optimization of self-consumption and techno-economic analysis of PV-battery systems in commercial applications," Applied Energy, Elsevier, vol. 168(C), pages 171-178.

    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. Berka, Anna L. & Creamer, Emily, 2018. "Taking stock of the local impacts of community owned renewable energy: A review and research agenda," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3400-3419.
    2. Hammond, Geoffrey P. & Harajli, Hassan A. & Jones, Craig I. & Winnett, Adrian B., 2012. "Whole systems appraisal of a UK Building Integrated Photovoltaic (BIPV) system: Energy, environmental, and economic evaluations," Energy Policy, Elsevier, vol. 40(C), pages 219-230.
    3. Wittenberg, Inga & Matthies, Ellen, 2018. "How do PV households use their PV system and how is this related to their energy use?," Renewable Energy, Elsevier, vol. 122(C), pages 291-300.
    4. Gautier, Axel & Hoet, Brieuc & Jacqmin, Julien & Van Driessche, Sarah, 2019. "Self-consumption choice of residential PV owners under net-metering," Energy Policy, Elsevier, vol. 128(C), pages 648-653.
    5. Ford, Rebecca & Walton, Sara & Stephenson, Janet & Rees, David & Scott, Michelle & King, Geoff & Williams, John & Wooliscroft, Ben, 2017. "Emerging energy transitions: PV uptake beyond subsidies," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 138-150.
    6. Nakada, Tatsuhiro & Shin, Kongjoo & Managi, Shunsuke, 2016. "The effect of demand response on purchase intention of distributed generation: Evidence from Japan," Energy Policy, Elsevier, vol. 94(C), pages 307-316.
    7. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    8. Salom, Jaume & Marszal, Anna Joanna & Widén, Joakim & Candanedo, José & Lindberg, Karen Byskov, 2014. "Analysis of load match and grid interaction indicators in net zero energy buildings with simulated and monitored data," Applied Energy, Elsevier, vol. 136(C), pages 119-131.
    9. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    10. McManus, A. & Gaterell, M.R. & Coates, L.E., 2010. "The potential of the Code for Sustainable Homes to deliver genuine 'sustainable energy' in the UK social housing sector," Energy Policy, Elsevier, vol. 38(4), pages 2013-2019, April.
    11. De Jaeger, Ina & Reynders, Glenn & Ma, Yixiao & Saelens, Dirk, 2018. "Impact of building geometry description within district energy simulations," Energy, Elsevier, vol. 158(C), pages 1060-1069.
    12. Partovi, Farzad & Nikzad, Mehdi & Mozafari, Babak & Ranjbar, Ali Mohamad, 2011. "A stochastic security approach to energy and spinning reserve scheduling considering demand response program," Energy, Elsevier, vol. 36(5), pages 3130-3137.
    13. Eke, Rustu & Senturk, Ali, 2013. "Monitoring the performance of single and triple junction amorphous silicon modules in two building integrated photovoltaic (BIPV) installations," Applied Energy, Elsevier, vol. 109(C), pages 154-162.
    14. Dong, Jun & Xue, Guiyuan & Li, Rong, 2016. "Demand response in China: Regulations, pilot projects and recommendations – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 13-27.
    15. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
    16. Zheng, Yingying & Jenkins, Bryan M. & Kornbluth, Kurt & Kendall, Alissa & Træholt, Chresten, 2018. "Optimization of a biomass-integrated renewable energy microgrid with demand side management under uncertainty," Applied Energy, Elsevier, vol. 230(C), pages 836-844.
    17. Kannan, Nadarajah & Vakeesan, Divagar, 2016. "Solar energy for future world: - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1092-1105.
    18. Liu, Yingqi, 2017. "Demand response and energy efficiency in the capacity resource procurement: Case studies of forward capacity markets in ISO New England, PJM and Great Britain," Energy Policy, Elsevier, vol. 100(C), pages 271-282.
    19. Y, Kiguchi & Y, Heo & M, Weeks & R, Choudhary, 2019. "Predicting intra-day load profiles under time-of-use tariffs using smart meter data," Energy, Elsevier, vol. 173(C), pages 959-970.
    20. Protopapadaki, Christina & Saelens, Dirk, 2017. "Heat pump and PV impact on residential low-voltage distribution grids as a function of building and district properties," Applied Energy, Elsevier, vol. 192(C), pages 268-281.

    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:126:y:2014:i:c:p:199-212. 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.