Published February 2018 | Version v1
Journal article

Development of inline hydroelectric generation system from municipal water pipelines

  • 1. Renewable Energy Research Group (RERG), Department of Building Services Engineering, The Hong Kong Polytechnic University, Hong Kong (China)
  • 2. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai (China)
  • 3. School of Environment Science and Technology, Tianjin University, Tianjin (China)

Description

Highlights: • A novel inline hydroelectric generating system was developed to harness potential energy in pipeline for monitoring system. • A drag-type and lift-type turbine was designed for medium and large size pipeline respectively. • A hybrid energy storage system which combine battery and supercapacitor was developed. • A control system with remote monitoring software was developed to manage the whole system. It is a challenging work to ensure reliable power supply for the data monitoring and control devices of modern water supply networks in urban environment due to limited underground space and transportation restriction. In this study, a novel inline hydroelectric generating system (IHGS) was developed to harness the potential energy of the water flow onsite and provide power for data monitoring system of main water pipelines. Specifically, a drag-type turbine was designed for medium size pipelines and a lift-type turbine for large size pipelines, and a hybrid energy storage system which combine battery and supercapacitor was developed to store excess energy and stabilize power supply for the off-grid IHGS, and a control system with remote monitoring software was developed to manage the whole system. The main work presented in this paper includes theoretical study, computer simulation, prototype design, and experimental tests. The results demonstrate that this development can solve the power supply problem of the data monitoring systems, while there are still significant opportunities for further research such as cost-benefit analysis, long-term system monitoring and assessment.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2017.11.113

Additional details

Identifiers

DOI
10.1016/j.energy.2017.11.113;
PII
S0360544217319710;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
144
Journal Page Range
p. 535-548
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2017 Elsevier Ltd. All rights reserved.