作者: Jorge Helmbrecht , Jordi Pastor , Carolina Moya
DOI: 10.1016/J.PROENG.2017.03.215
关键词:
摘要: Abstract In the last years, there has been a great interest in complex relations between energy and water, known as Water-Energy Nexus [1] . Natural resources, such enable economy growth support quality of life. The is considered one most important multidisciplinary challenges [2] that global growing water market [3] to face forthcoming years. Currently, many systems are not managed sustainably enough. Water Utilities other challenges, infrastructure aging poor cost-recovery, leading lack finance for O&M (Operation Maintenance). Energy required all stages production distribution, from pumping treatment transportation. costs top-of-mind concern utilities, regardless geography, size level network efficiency [4] On hand, having hard time either improve their services or expand unserved neighborhoods developing countries. current trend transmission system creation DMAs (District Metered Areas) offers possibilities non-structural solutions use existing data transform them into useful information decision making. Smart Metering large amounts enhance software support, but it only way. Solutions can also be applied networks with less recorded data, which would operators’ knowledge these turn decision-making operation maintenance design. this scope, Solution presented. It developed combining key factors consumption supply management obtain improvements both fields. This solution increases resource environmental performance distribution by using acquisition geographical visualization (real & historical), weather demand forecasting, detection events hydraulic simulation network, finally through based on machine learning (pattern recognition business rules techniques). As conclusion, issues have impact several matters (climate change, carbon footprint, WUs balance sheets, losses) reasonable investment smart metering few sensors measuring.