Published February 2021 | Version v1
Journal article

Optimization of pump selection for running as turbine and performance analysis within the regulation schemes

  • 1. School of Mechanical Engineering, Iran University of Science and Technology, Tehran (Iran, Islamic Republic of)
  • 2. Faculty of New Sciences and Technologies, University of Tehran, Tehran (Iran, Islamic Republic of)

Description

Highlights: • Substituting pressure reducing stations with hydropower plant was investigated. • Optimal PAT selection was performed under variable hydraulic conditions. • Design criteria were improved to consider PAT characteristics. • The performance of plant components was analyzed from energy perspective. • Regulating schemes were compared in terms of effectiveness and economy. Increasing Renewable energies efficiency and harnessing the available potentials are among the goals that have been addressed in sustainable development. Helping to promote the utilization of these valuable and reliable sources can provide a basis for their worldwide expansion. Pump as turbine (PAT) is a suitable device to generate clean energy from hydraulic potentials. One of the main challenges of using a PAT is the lack of control tools on the flow, which affects mainly the off-design performance of the machine. In this paper, the criteria of pump selection for running in turbine mode were modified under variable head and discharge conditions by improving existing performance indicators and introducing availability. The effect of operating schemes was studied on optimal pump specifications with the effectiveness criterion consisting of capability, availability and adaptability. The performance of power plant components was investigated in regulating the flow and reducing the potential. Using a case study in Iran, dual regulation is the most effective scheme with an effectiveness of 0.4037, but mechanical scheme had the most capability with 0.4230. The results showed that compared to using average values of head and discharge for pump selection, optimization could increase the effectiveness up to 20%.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2020.119402

Additional details

Identifiers

DOI
10.1016/j.energy.2020.119402;
PII
S0360544220325093;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
217
Journal Page Range
vp.
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54000967
Subject category
S13: HYDRO ENERGY; S42: ENGINEERING;
Descriptors DEI
COMPUTERIZED SIMULATION; ENERGY EFFICIENCY; HYDRAULICS; HYDROELECTRIC POWER PLANTS; OPTIMIZATION; PERFORMANCE; RENEWABLE ENERGY SOURCES; SUSTAINABLE DEVELOPMENT; TURBINES
Descriptors DEC
EFFICIENCY; ENERGY SOURCES; EQUIPMENT; FLUID MECHANICS; MACHINERY; MECHANICS; POWER PLANTS; RESOURCE DEVELOPMENT; SIMULATION; TURBOMACHINERY

Optional Information

Copyright
Copyright (c) 2020 Elsevier Ltd. All rights reserved.