0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
A New Optimal Design of a Solar Power Plant On The Rooftop of Bovisa Train Station in Milan
نویسندگان :
Omid Nasirkhani
1
Mohsen Tamaddon
2
1- Politecnico di Milano
2- Technical and Vocational University
کلمات کلیدی :
Electric railway systems،Energy management system،Photovoltaic panels،Renewable Energies Solar energy
چکیده :
The escalating levels of greenhouse gas (GHG) emission is one of the principal global concerns. Given that a substantial portion of carbon dioxide (CO2) emissions can be attributed to transportation systems, there has been a gradual surge in the adoption of electric railway systems (ERS) over the past decade. However, ERS stands as one of the prominent consumers of electrical energy globally, prompting researchers and governments to increasingly focus on integrating renewable energy sources into the ERS sector. Among the innovative, sustainable, and eco-friendly solutions for satisfying both mentioned problems, the installation of solar photovoltaic systems on train station rooftops has gained significant traction. This paper presents an implementation of a photovoltaic power generation system on the roof of Milan's Bovisa Train Station in Italy. The study utilizes PVsol software to carry out the assessment and establishes a case study to investigate the practical application of solar energy systems for powering the entire array of electrical systems within the Bovisa train station, which includes lighting, escalators, elevators, air conditioning, heating, passenger information services, and commercial facilities. In this study, integrating a PV power plant on the train station rooftop generates 634.9 kW of sustainable power, reducing 287,018 kg of carbon emissions annually. This not only meets station demand but also demonstrates the system's capacity to inject surplus energy into the grid, significantly reducing GHG emissions. These results underscore the efficiency and environmental impact of this work.
لیست مقالات
لیست مقالات بایگانی شده
Non-contact Radar Technology and Machine Learning for Automated Sleep Apnea-Hypopnea Syndrome Detection
ُSaman Faridsoltani - Mohaddeseh Sadeghi - Zahra Rahmani - Somayyeh Chamaani
Interval-Based Setting Approach for Distance Relays Considering Uncertainties Using Monte Carlo Simulation
Abolfazl Hadadi - Mohammad Javad Jalilian - Behrooz Vahidi - Gholam Hossein Riahy Dehkordi
Secrecy Sum Rate Analysis and Power Allocation with OSTBC and Artificial Noise for MIMO Systems
Abdolrasoul Sakhaei Gharagezlou - Mahdi Nangir - Nima Imani - Amir Poorfaraj Liqvan
Integration of Deep Learning Techniques in Stock Market Forecasting: xLSTM-CNN with RevIN and Adaptive Wavelet Denoising
Alireza Mohammadi - Ali Doustmohammadi - Masoud Shafiee
Implementation of an Optimized Deep Learning Model to Assess Pediatric Sleep Apnea Severity Using SpO2 Signals on Resource-Limited Microcontrollers
Erfan Mortazavi - Hanieh Mohammadi - Bahram Tarvirdizadeh - Khalil Alipour - Mohammad Ghamari
SGG-Net: Skeleton and Graph-Based Neural Network Approaches for Grasping Objects
AliReza Beigy - Farbod Azimmohseni - Ali Sabzejou - Mehdi Tale Masouleh - Ahmad Kalhor
The Use of NSGA-2 for Optimal Placement and Management of Renewable Energy Sources When Considering Network Uncertainty and Fault Current Limiters
Ali Akbar Farahani - Seyed Hossein Hesamedin Sadeghi
Controllable UWB THz Absorber Using a New Single-layer Graphene-based Grating
Mahdieh Bozorgi - Mahmood Rafaei Booket - Mohammad Amin Zolghadr
ارائه یک روش دو مرحلهای مبتنی بر حسگری فشرده برای تخمین زاویه ورود در آرایه
مهدی محمدی پرستو - محمود مدرس هاشمی
A new double rotor switched reluctance motor aiming at average torque improvement
Reza Rezaei - Seyed Reza Mousavi Aghdam
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4