Optimization of the Smart Water-Energy Nexus

智能水-能源关系的优化

• 批准号: 467696-2014
• 负责人: Carriveau, Edward
• 金额: $ 1.82万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=562229
• 关键词: Optimization; Smart; Water; Energy; Nexus

CrozierBaird Engineering and the Applicant seek to develop a paradigm shifting planning and operations model for water utilities based on smart metering, behavior analytics, environmental forecasting, and emerging energy management principals. The model will be designed to optimize current utility network architectures and will be forward-compatible with proposed micro water-energy grids to be examined in concurrent studies. The immediate region serviced by CrozierBaird is home to a diverse mix of residential, industrial, and commercial clients that include the highest concentration of greenhouses in North America. Utilities from this region have committed an interest in a model with hourly, daily, and weekly demand forecasting capabilities. Such an application will enable the integration of strategic energy management practices that include monitoring, targeting, and load shifting. Such a model will also be critical to facility master plans that attempt to accurately forecast major future infrastructure requirements. The principal objective of the project is to improve overall service and value for the rate-payer. This will be achieved by first assembling the data map for the model. Influence variables will include, customer type, usage behavior, economic, and meteorological conditions. Next, it will be determined how to develop the most representative characterization of the demand base with a finite number of sampling sites. Then, specialized high frequency smart meters will be deployed to select sampling locations. Data from these strategically varied archetypal sites will complement additional feeds from existing in-field meters and billing databases. Concurrently, appropriate climactic indicators and other driving environmental factors will be selected for correlation with the demand data. The ultimate analysis of this data collection will seek the most efficient scheme for water supply subject to the two fundamental constraints of safe uninterruptible supply, and cost minimization.

CrozierBaird Engineering和申请人寻求基于智能计量、行为分析、环境预测和新兴的能源管理原理来开发用于水公用事业的范式转变规划和操作模型。 该模型将被设计为优化当前的公用事业网络架构，并将与拟议中的微型水能源电网向前兼容，以在并行研究中进行检查。 CrozierBaird服务的邻近地区是住宅，工业和商业客户的多样化组合的所在地，其中包括北美最集中的温室。 该地区的公用事业公司对具有小时、每日和每周需求预测能力的模型感兴趣。 这样的应用程序将使战略能源管理实践，包括监测，目标和负荷转移的整合。 这种模式对于试图准确预测未来主要基础设施需求的设施总体规划也至关重要。 这项计划的主要目的，是改善差饷缴纳人的整体服务，使他们更有价值。 这将通过首先组装模型的数据映射来实现。 影响变量将包括客户类型、使用行为、经济和气象条件。 其次，将确定如何在有限数量的抽样地点确定最具代表性的需求基础特征。 然后，将部署专门的高频智能电表来选择采样地点。 来自这些战略上不同的原型站点的数据将补充来自现有现场仪表和计费数据库的额外馈送。 同时，将选择适当的气候指标和其他驱动环境因素与需求数据相关联。 对这些数据收集的最终分析将在安全不间断供水和成本最小化这两个基本限制条件下寻求最有效的供水方案。