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Smart metering and systems to support a conscious use of water and electricity

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  • Fróes Lima, Carlos Alberto
  • Portillo Navas, José Ricardo

Abstract

Brazilian water and electricity utilities demand management tools to allow their customers to analyze, monitor and control their consumption of these goods. From a social perspective, efficiency requires involved and active of clients who can monitor and audit the actual consumed amounts as well as the values saved as new habits are established.

Suggested Citation

  • Fróes Lima, Carlos Alberto & Portillo Navas, José Ricardo, 2012. "Smart metering and systems to support a conscious use of water and electricity," Energy, Elsevier, vol. 45(1), pages 528-540.
    • Handle: RePEc:eee:energy:v:45:y:2012:i:1:p:528-540
    DOI: 10.1016/j.energy.2012.02.033
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    References listed on IDEAS

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    1. Jarvis, Darryl S.L. & Sovacool, Benjamin K., 2011. "Conceptualizing and evaluating best practices in electricity and water regulatory governance," Energy, Elsevier, vol. 36(7), pages 4340-4352.
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    4. Sovacool, Benjamin K. & Mukherjee, Ishani, 2011. "Conceptualizing and measuring energy security: A synthesized approach," Energy, Elsevier, vol. 36(8), pages 5343-5355.
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    Citations

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    Cited by:

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    2. Batista, N.C. & Melício, R. & Matias, J.C.O. & Catalão, J.P.S., 2013. "Photovoltaic and wind energy systems monitoring and building/home energy management using ZigBee devices within a smart grid," Energy, Elsevier, vol. 49(C), pages 306-315.
    3. Küfeoğlu, S. & Liu, G. & Anaya, K. & Pollitt, M., 2019. "Digitalisation and New Business Models in Energy Sector," Cambridge Working Papers in Economics 1956, Faculty of Economics, University of Cambridge.
    4. Hong, Seung Ho & Kim, Se Hwan & Kim, Gi Myung & Kim, Hyung Lae, 2014. "Experimental evaluation of BZ-GW (BACnet-ZigBee smart grid gateway) for demand response in buildings," Energy, Elsevier, vol. 65(C), pages 62-70.
    5. Kong, Xiangyu & Zhang, Xiaopeng & Li, Gang & Dong, Delong & Li, Ye, 2020. "An estimation method of smart meter errors based on DREM and DRLS," Energy, Elsevier, vol. 204(C).
    6. Wang, Yong & Li, Lin, 2014. "Time-of-use based electricity cost of manufacturing systems: Modeling and monotonicity analysis," International Journal of Production Economics, Elsevier, vol. 156(C), pages 246-259.
    7. Chou, Jui-Sheng & Truong, Ngoc-Son, 2019. "Cloud forecasting system for monitoring and alerting of energy use by home appliances," Applied Energy, Elsevier, vol. 249(C), pages 166-177.
    8. Fettermann, Diego Castro & Cavalcante, Caroline Gobbo Sá & Ayala, Néstor Fabián & Avalone, Marianne Costa, 2020. "Configuration of a smart meter for Brazilian customers," Energy Policy, Elsevier, vol. 139(C).
    9. Annesi, Nora & Battaglia, Massimo & Frey, Marco, 2021. "Stakeholder engagement by an Italian water utility company: Insight from participant observation of dialogism," Utilities Policy, Elsevier, vol. 72(C).
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    11. Hug March & Álvaro-Francisco Morote & Antonio-Manuel Rico & David Saurí, 2017. "Household Smart Water Metering in Spain: Insights from the Experience of Remote Meter Reading in Alicante," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    12. Dexter V. L. Hunt & Zeerak Shahab, 2021. "Sustainable Water Use Practices: Understanding and Awareness of Masters Level Students," Sustainability, MDPI, vol. 13(19), pages 1-29, September.

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