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Collaborative energy conservation in a microgrid

Published: 03 November 2014 Publication History

Abstract

KBFSC (Kuala Belalong Field Studies Centre) is a research centre located in a remote tropical evergreen rainforest in Brunei Darussalam in South East Asia. It is visited by biologists and ecologists from all over the world. Power is available at the centre for 8-10 hours per day from a diesel generator (DG). The diesel travels2-3 hours by road, by boat and on foot over harsh terrain to reach the centre from the closest gas station. This paper describes the software and hardware of a microgrid system that was designed and deployed at KBFSC to reduce the fuel consumption while improving duration of power availability. A key feature of the energy management software is a collaborative scheduler interface that provides visitors at the centre the choice of scheduling appliance usage. The system optimises generator active hours using a customised DG Optimiser technique, to ensure minimum diesel consumption. Simulations extrapolating from empirical data suggest that our system could reduce diesel consumption by a third, and total cost by 20%, while making power available 24 hours a day. In addition, a user study with 8 visitors and 4 administrators showed that the collaborative scheduler interface is effective and usable.

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Cited By

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  • (2019)Smart Energy Monitoring System for Residential in MalaysiaProceedings of the 3rd International Conference on Big Data and Internet of Things10.1145/3361758.3361766(18-22)Online publication date: 22-Aug-2019
  • (2017)Optimal operation scheduling of electric water heaters under dynamic pricingSustainable Cities and Society10.1016/j.scs.2017.02.01331(109-121)Online publication date: May-2017
  • (2017)A Strategy to Reduce Grid Stress through Priority-based Inverter ChargingEnergy Procedia10.1016/j.egypro.2017.09.563134(555-566)Online publication date: Oct-2017

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      cover image ACM Conferences
      BuildSys '14: Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings
      November 2014
      241 pages
      ISBN:9781450331449
      DOI:10.1145/2674061
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 03 November 2014

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      Author Tags

      1. dynamic programming
      2. microgrid
      3. scheduling

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      View all
      • (2019)Smart Energy Monitoring System for Residential in MalaysiaProceedings of the 3rd International Conference on Big Data and Internet of Things10.1145/3361758.3361766(18-22)Online publication date: 22-Aug-2019
      • (2017)Optimal operation scheduling of electric water heaters under dynamic pricingSustainable Cities and Society10.1016/j.scs.2017.02.01331(109-121)Online publication date: May-2017
      • (2017)A Strategy to Reduce Grid Stress through Priority-based Inverter ChargingEnergy Procedia10.1016/j.egypro.2017.09.563134(555-566)Online publication date: Oct-2017

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