Optimization and feasibility analysis of pico-hydro generation system used in small agricultural pipe network

Reliable energy provision to poor island communities is a challenging problem, particularly in developing countries. This paper presents a pre-feasibility analysis of a wind-solar-diesel electricity generation system to satisfy residential demand in a small, poor island community located in the Gulf of Guayaquil in Ecuador, using HOMER as an analysis tool. The community currently has unreliable diesel generated electricity that energizes homes and street lights, but wishes to replace it with renewable sources as they see that these sources are more aligned with their intention to move into sustainable tourism as a source of income. Relevant meteorological data is lacking and there is only anecdotal evidence that wind is strong in summer time nights at the site. Data for solar irradiance and wind speed were taken from a meteorological station located in Guayaquil, a city relatively close to the island. Wind speed was estimated during a field visit. The community is composed of 85 households for a total of 650 people. Domestic demand data was available and categorized into two types of households. HOMER was used to model four generation system types combining wind turbines, PV panels and Diesel generators to satisfy five different demand models with varying proportions of total households of each type. Selection of the best system is based in both energy and cost optimization, with low use of diesel and low excess of electricity. A sensitivity analysis of the wind and solar resources is included to account for the unavailability of reliable data for wind speed and solar irradiance. The expansion of the system due to population and ensuing demand growth is considered in the analysis using a 25 years project lifetime. The results show that there is potential to install a wind-solar-diesel system under medium-high weather conditions (more than 4 kWh/m2d for solar irradiance and 3.5m/s for wind speed). As a sample, at a 4.5kWh/m2d solar irradiance and 4.6m/s wind speed, a wind-solar-diesel system presents a total NPV of $1,616,615 and a LCOE of $0.23 per kWh, with a diesel reduction use of 81.8% and a excess energy percentage of 3.44%.

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A Pipeline Leakage Signal Simulation and Generation System

E3S Web of Conferences ◽

10.1051/e3sconf/202125703070 ◽

2021 ◽

Vol 257 ◽

pp. 03070

Author(s):

Dawei Shi ◽

Hongliang Zhao ◽

Xiuwen Shao

Keyword(s):

Cross Correlation ◽

Correlation Method ◽

Leakage Detection ◽

Pipe Network ◽

Generation System ◽

Leak Location ◽

Propagation Law ◽

Signal Simulation ◽

Location Algorithm ◽

Algorithm Base

To test the effectiveness of the detection and positioning technology of the pipe leakage, the propagation law of pipeline leakage signal is studied in this paper, and a pipeline leakage signal simulation and generation system is proposed. It can simulate the leakage pressure wave signals at different positions of the pipeline. Changing pipe’s parameters though the computer, the simulation and output of the leakage signal under various working conditions can be realized. It can test the reliability and accuracy of the detection and location technology of the pipe leakage, and verify the applicability of the pipe leakage detection and location technology to different pipe structures. The results show that the output signal of system can replace the real signal, and located the pre-set leakage point by cross-correlation method. The purpose of studying the effectiveness and accuracy of the existing leak location algorithm base on largescale complex pipe network system in laboratory conditions was realized.

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