Feasibility study on hybrid energy harvesting solution in rail transportation system

Nowadays, given ecological concerns, including greenhouse gas (GHG) emissions and climate change, it is critical to look into environmentally friendly and sustainable energy sources (SES). This study examines the viability of using photovoltaic (PV) and micro wind turbine (WT) energy systems for hybrid energy (HE) harvesting in rail transportation systems. To meet the energy requirements of Kazakhstan’s railway systems, this study investigates the importance of employing PV, WT, solar sleepers, and a battery energy storage system (BESS). The Talgo Tulpar passenger train traveling from Astana to Almaty has been selected for this study. The integration of solar sleepers over the rail track is also taken into consideration. This article proposes a strategic plan for the system’s operating principles. The methodology involved examining three distinct cases: PV/WT/Grid (Case 1), PV/WT/BESS/Grid (Case 2), and PV/WT/BESS/Grid/Solar sleeper (Case 3). This system was mathematically modeled and simulated using a MATLAB algorithm. The major findings indicate that Case 1 achieves higher energy savings compared to Case 2, while Case 3 results in significantly greater savings than both Case 1 and Case 2. The results suggest considerable cost savings because less grid electricity is needed, which in turn leads to a reduced <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m1"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mtext>CO</mml:mtext> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> footprint.

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Publication Details

Journal
Frontiers in Energy Research
Published
2025-11-03
DOI
https://doi.org/10.3389/fenrg.2025.1666388
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
0.00

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article

Feasibility study on hybrid energy harvesting solution in rail transportation system

Mehdi Bagheri, Ahmad Khan, Kalamkas Akmurzina
Frontiers in Energy Research
Railway Systems and Energy Efficiency
article

Feasibility study on hybrid energy harvesting solution in rail transportation system

Mehdi Bagheri, Ahmad Khan, Kalamkas Akmurzina
article en

Abstract

Nowadays, given ecological concerns, including greenhouse gas (GHG) emissions and climate change, it is critical to look into environmentally friendly and sustainable energy sources (SES). This study examines the viability of using photovoltaic (PV) and micro wind turbine (WT) energy systems for hybrid energy (HE) harvesting in rail transportation systems. To meet the energy requirements of Kazakhstan’s railway systems, this study investigates the importance of employing PV, WT, solar sleepers, and a battery energy storage system (BESS). The Talgo Tulpar passenger train traveling from Astana to Almaty has been selected for this study. The integration of solar sleepers over the rail track is also taken into consideration. This article proposes a strategic plan for the system’s operating principles. The methodology involved examining three distinct cases: PV/WT/Grid (Case 1), PV/WT/BESS/Grid (Case 2), and PV/WT/BESS/Grid/Solar sleeper (Case 3). This system was mathematically modeled and simulated using a MATLAB algorithm. The major findings indicate that Case 1 achieves higher energy savings compared to Case 2, while Case 3 results in significantly greater savings than both Case 1 and Case 2. The results suggest considerable cost savings because less grid electricity is needed, which in turn leads to a reduced <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m1"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mtext>CO</mml:mtext> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> footprint.

Frontiers in Energy ResearchVol. 13
Nazarbayev University (KZ)
Nazarbayev University
Openalex Percentile: Top 55%
Railway Systems and Energy Efficiency
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Feasibility study on hybrid energy harvesting solution in rail transportation system — Mehdi Bagheri, Ahmad Khan, et al. · Frontiers in Energy Research (2025) | TGRS Research Map | TGRS