Dynamic Simulation of a Hybrid Energy System for Powering a Water Treatment Facility in McCallum, Newfoundland and Labrador

Clean water, a basic human need, is in short supply in McCallum, Newfoundland and Labrador, primarily due to lead contamination, forcing residents to rely on collected rainwater. Reverse Osmosis (RO) has been identified as the most suitable desalination method because of its lower energy requirements and high effectiveness in treating lead-contaminated water. Powering the RO system with renewable energy sources (RES) offers a promising solution for this remote, off-grid area, currently powered by a diesel generator. The proposed hybrid energy system (HES) provides not only the most economically optimal configuration but also greater reliability. The system consists of a 3.6 kW solar array, a 2-kW wind turbine, a 3-kW DC diesel generator, and a 680 Ah 48 V battery bank to supply the single-phase water treatment system, which includes a 0.3 kW resistive load, lighting, and two asynchronous machines rated at 0.5 hp and 0.75 hp, respectively. A dynamic simulation of the proposed system, based on calculation done in Kafrashi and Iqbal [1], is presented in this paper. All system components are modeled in MATLAB/Simulink. Simulation results show expected dynamics in the system. Results indicate proper system operation with reasonable within-range system voltage and current during normal operation.

Authors

Institutions

Publication Details

Journal
European Journal of Energy Research
Published
2024-12-31
DOI
https://doi.org/10.24018/ejenergy.2024.4.4.157
Primary Topic
Water-Energy-Food Nexus Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Simulation of a Hybrid Energy System for Powering a Water Treatment Facility in McCallum, Newfoundland and Labrador

M. Tariq Iqbal, Fatemeh Kafrashi
European Journal of Energy Research
Water-Energy-Food Nexus Studies
article

Dynamic Simulation of a Hybrid Energy System for Powering a Water Treatment Facility in McCallum, Newfoundland and Labrador

M. Tariq Iqbal, Fatemeh Kafrashi
article en

Abstract

Clean water, a basic human need, is in short supply in McCallum, Newfoundland and Labrador, primarily due to lead contamination, forcing residents to rely on collected rainwater. Reverse Osmosis (RO) has been identified as the most suitable desalination method because of its lower energy requirements and high effectiveness in treating lead-contaminated water. Powering the RO system with renewable energy sources (RES) offers a promising solution for this remote, off-grid area, currently powered by a diesel generator. The proposed hybrid energy system (HES) provides not only the most economically optimal configuration but also greater reliability. The system consists of a 3.6 kW solar array, a 2-kW wind turbine, a 3-kW DC diesel generator, and a 680 Ah 48 V battery bank to supply the single-phase water treatment system, which includes a 0.3 kW resistive load, lighting, and two asynchronous machines rated at 0.5 hp and 0.75 hp, respectively. A dynamic simulation of the proposed system, based on calculation done in Kafrashi and Iqbal [1], is presented in this paper. All system components are modeled in MATLAB/Simulink. Simulation results show expected dynamics in the system. Results indicate proper system operation with reasonable within-range system voltage and current during normal operation.

European Journal of Energy ResearchVol. 4(4)
Memorial University of Newfoundland (CA)
Clean water and sanitation
Openalex Percentile: Top 75%
Water-Energy-Food Nexus Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.