The role of smart metering and big data analytics in working with people and communities to improve water-energy efficiency behaviours
Abstract
The role of smart metering and big data analytics in working with people and communities to improve water-energy efficiency behaviours
Cara Beal, Rodney Stewart, Khoi Nguyen, Oz Sahin, Edoardo Bertone, Hong Zhang School of Engineering and Built Environment and Cities Research Institute, Griffith University, Gold coast Campus, Australia Increasing awareness of the links between water-energy consumption has seen a strong focus on examining and identifying areas where reductions in greenhouse gas emissions can be achieved. We are becoming increasingly aware that a truly sustainable water and energy supply in any community must incorporate a systemic approach where community, governance, culture, economics and local environmental context are considered along with improved technological outcomes. This presentation is focussed on giving a snapshot of research projects that have been undertaken in Australia to understand the water-energy nexus through the use of digital technologies such as smart water and energy meters and big data analytics. Topics that will be highlighted will include: the application of smart metering technology to improve our understanding of peak demand patterns and subsequent network optimization, (e.g. reduce energy demand for pumping), assessing energy consumption of water heating systems with empirical information (e.g. measured water consumption patterns) residential rain tank pump performance at an end use level using smart meter enabled, water end-use data to identify the key indoor and outdoor end-uses that contribute to water-related energy demand; and the water-energy nexus in remote and Indigenous communities - using water demand management to reduce high energy off-grid water supply costs Projects will cover urban, regional and remote communities and will. The presentation will conclude some provide insights on how using a combination of socio-technical approaches can reveal both barriers and opportunities to reducing water and water-related energy demand.- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.H43P2290B
- Keywords:
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- 1847 Modeling;
- HYDROLOGY;
- 1880 Water management;
- HYDROLOGY;
- 6314 Demand estimation;
- POLICY SCIENCES & PUBLIC ISSUES;
- 6344 System operation and management;
- POLICY SCIENCES & PUBLIC ISSUES