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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. Sioshansi, Fereidoon P., 2008. "Competitive Electricity Markets: Questions Remain about Design, Implementation, Performance," The Electricity Journal, Elsevier, vol. 21(2), pages 74-87, March.
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    3. 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.
    4. Faria, P. & Vale, Z., 2011. "Demand response in electrical energy supply: An optimal real time pricing approach," Energy, Elsevier, vol. 36(8), pages 5374-5384.
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    Citations

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    Cited by:

    1. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    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. 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.
    4. Wang, Yong & Li, Lin, 2013. "Time-of-use based electricity demand response for sustainable manufacturing systems," Energy, Elsevier, vol. 63(C), pages 233-244.
    5. Sinan Küfeoglu & Gaomin Liu & Karim Amaya & Michael G. Pollitt, 2019. "Digitalisation and New Business Models in Energy Sector," Working Papers EPRG1920, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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).
    12. 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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