Article
Automation & Control Systems
M. Suresh, R. Meenakumari
Summary: This paper proposes an optimal utilization of smart grid connected hybrid renewable energy sources by predicting load demands, optimizing control signals and adjusting search behavior to reduce electricity production costs. After testing and analyzing the 24-hour load demand, power generated by sources and battery charging status, it is proven that the proposed method has shorter computational time and higher cost-effectiveness.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2021)
Article
Engineering, Chemical
Moussa Gaptia Lawan, Mamadou Bailo Camara, Abdulkareem Shaheed Sabr, Brayima Dakyo, Ahmed Al Ameri
Summary: This paper presents a simulation of an insulated micro-grid system based on the three-level converters control for energy management. Different renewable power sources, battery energy storage system (BESS), and a variable diesel generator are used in the system. The research focuses on improving energy transfer quality, dynamic interactions, and maximizing energy production from renewable sources.
Article
Green & Sustainable Science & Technology
Muhammad Ibrahim Khalil, N. Z. Jhanjhi, Mamoona Humayun, SivaKumar Sivanesan, Mehedi Masud, M. Shamim Hossain
Summary: Smart cities aim to provide residents with a high standard of living through optimized resource planning, with a focus on challenging power control activities. This research focuses on building a smart grid to efficiently manage power operations.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Thermodynamics
Samuele Memme, Alessia Boccalatte, Massimo Brignone, Federico Delfino, Marco Fossa
Summary: The study focuses on integrating a thermal energy storage (TS) system in the Smart Polygeneration Microgrid (SPM) to increase the operation hours of gas turbines and reduce greenhouse gas emissions.
APPLIED THERMAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Lilan Liu, Zhizhong Zhang, Ning Wang, Haijun Zhang, Yu Zhang
Summary: This paper investigates the long-term average total energy cost minimization problem in Heterogeneous Cellular Networks powered by Grid-connected Smart Micro Grids. The proposed CAORM algorithm outperforms benchmarks in reducing total energy cost and making appropriate decisions according to different unit costs of renewable energy.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Energy & Fuels
Alankrita, A. Pati, N. Adhikary, S. K. Mishra, B. Appasani, Taha Selim Ustun
Summary: This paper presents an optimal energy management system for a hybrid PV-battery storage system, utilizing fuzzy logic to control battery and grid-connected inverter for optimal resource utilization and power fluctuation handling.
Article
Construction & Building Technology
Seyedvahid Vakili, Aykut I. Olcer
Summary: Although domestic ferries in the Philippines play a crucial role in the economy and security, their use of fossil fuels has significant negative environmental impacts. Transitioning to battery and hybrid vessels is a viable solution, but there is a lack of necessary infrastructure and the national grid primarily relies on coal, which is more polluting than the ships' fuel. This study assesses the potential of solar and wind power and generators in different stand-alone and grid-connected systems for a major port in the Philippines, finding that grid-connected systems are more cost-effective and environmentally friendly, with wind power systems being the most cost-effective option.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Chemistry, Physical
Astitva Kumar, Mohammad Rizwan, Uma Nangia
Summary: Electrical energy is crucial for the development and sustainability of a nation. However, many remote areas lack access to grid supply. By integrating renewable energy resources and storage devices, an efficient and environmentally friendly solution can be achieved, reducing greenhouse gas emissions and contributing to the smart grid environment.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Multidisciplinary
Wei Lou, Shenglong Zhu, Jinjin Ding, Taiyun Zhu, Ming Wang, Licheng Sun, Feili Zhong, Xiaodong Yang
Summary: This paper proposes a transparent demand-response framework for the adaptation of a high proportion of renewable energy in a smart grid, enabling the proactive participation of demand-side flexible multi-energy resources.
APPLIED SCIENCES-BASEL
(2023)
Article
Energy & Fuels
Barun K. Das, Majed A. Alotaibi, Pronob Das, M. S. Islam, Sajal K. Das, Md Alamgir Hossain
Summary: This study thoroughly analyzes the economic and environmental benefits of standalone and grid integration hybrid energy systems using the HOMER model. Results show that standalone systems may have lower costs in certain regions, while grid-connected systems have the potential for greater financial and environmental benefits.
ENERGY STRATEGY REVIEWS
(2021)
Article
Energy & Fuels
Marco Simonazzi, Nicola Delmonte, Paolo Cova, Roberto Menozzi
Summary: This work presents a library of microgrid (MG) component models integrated in a complete university campus MG model in the Simulink/MATLAB environment. The model allows simulations on widely varying time scales and evaluation of the electrical, economic, and environmental performance of the MG. The campus MG model is shown to be useful for various simulations and analysis, including seasonal differences, overall economic and environmental impacts, and MG islanded-mode simulations. It serves as an agile tool for planning the deployment and penetration of photovoltaic plants and battery storage, considering economic and environmental aspects.
Article
Green & Sustainable Science & Technology
Prashant Malik, Mamta Awasthi, Sunanda Sinha
Summary: This study investigates the feasibility of a grid-connected hybrid system as a microgrid in the western Himalayan region, using local renewable resources. The optimal system identified is a grid-connected biomass gasifier/photovoltaic hybrid system, which is the most cost-effective and can save 27.8 Mt CO2/year compared to a diesel-only system. Sensitivity analysis shows that the optimal system is most sensitive to changes in solar radiation, real interest rate, biomass gasifier lifetime, and annual capacity shortage.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Electrical & Electronic
Omar A. Allan, Walid G. Morsi
Summary: This paper introduces a passive islanding detection approach that uses deep learning combined with the continuous wavelet transform, which can effectively solve the islanding detection problem without needing to identify islanding features in advance.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Energy & Fuels
Sonja Kallio, Monica Siroux
Summary: Hybrid renewable energy systems combine fluctuating renewable sources with controllable sources to significantly reduce CO2 emissions and primary energy consumption, requiring more experimental data and research on energy management strategies.
Article
Computer Science, Information Systems
Mohamed Ahmed Ebrahim, Beshoy Abdou Aziz Ayoub, Maged Naguib Fahmy Nashed, Fawzy Ahmed Mohamed Osman
Summary: This paper proposes a new modified architecture for AC microgrid, applies a coordinated four-layer hierarchal control method, and presents optimal design guidelines based on H-HHOPSO algorithm to improve system stability and efficiency.
Article
Energy & Fuels
Asmae Chakir, Mohamed Tabaa, Fouad Moutaouakkil, Hicham Medromi, Maya Julien-Salame, Abbas Dandache, Karim Alami
Article
Construction & Building Technology
Badr Chegari, Mohamed Tabaa, Fouad Moutaouakkil, Emmanuel Simeu, Hicham Medromi
JOURNAL OF BUILDING ENGINEERING
(2020)
Article
Engineering, Electrical & Electronic
Kaouter Karboub, Mohamed Tabaa, Fabrice Monteiro, Sofiene Dellagi, Fouad Moutaouakkil, Abbas Dandache
Summary: Diagnosing heart related diseases can be subjective, time consuming, and related to observer status. This study compares different AI approaches to improve accuracy in cardiovascular diseases diagnosis, focusing on ECG signal analysis and processing. The developed approach shows high overall accuracy and can be used for automated diagnosis of cardiovascular diseases.
IEEE SENSORS JOURNAL
(2021)
Article
Construction & Building Technology
Badr Chegari, Mohamed Tabaa, Emmanuel Simeu, Fouad Moutaouakkil, Hicham Medromi
Summary: A new efficient multi-objective optimization method based on the BPO technique has been developed to improve indoor thermal comfort and energy performance of residential buildings in a Moroccan region. Results show significant reduction in thermal needs and improvement in indoor thermal comfort, with solutions using MOPSO showing best performance. The methodology is recommended for designers, engineers, architects, and engineering offices when considering multiple design variables and objectives.
ENERGY AND BUILDINGS
(2021)
Article
Thermodynamics
Badr Chegari, Mohamed Tabaa, Emmanuel Simeu, Fouad Moutaouakkil, Hicham Medromi
Summary: This work presents a multi-objective optimization approach based on a smart surrogate model to improve energy consumption, thermal comfort, and energy self-sufficiency of residential buildings. The approach was successfully applied to a typical Moroccan building, achieving significant improvements in different climate zones. The results demonstrate the effectiveness of this approach in designing comfortable and nearly zero energy buildings.
Article
Energy & Fuels
Sonia Souabi, Asmae Chakir, Mohamed Tabaa
Summary: This paper presents a time series based energy forecasting system using a solar home database. Neural networks accurately predict energy consumption with high R2_score and low MSE.
Article
Computer Science, Information Systems
Kaouter Karboub, Mohamed Tabaa, Sofiene Dellagi, Fabrice Monteiro, Abbas Dandache, Fouad Moutaouakkil
Summary: This study presents a mathematical model aiming to reflect patient flow and resources usage in overcrowded hospitals, providing a new perspective on organizing inpatient flow for different pathologies. The model based on Markov Chains is validated using an actual case study and can predict resources occupancy effectively. The model uses input data from the NHS database and compares well with published data of bed occupancy in the NHS, demonstrating its accuracy and utility in healthcare management.
Article
Computer Science, Information Systems
Khaoula Hassoune, Wafaa Dachry, Fouad Moutaouakkil, Hicham Medromi
JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY
(2020)
Proceedings Paper
Green & Sustainable Science & Technology
Asmae Chakir, Mohamed Tabaa, Fouad Moutaouakkil, Hicham Medromi, Karim Alami
PROCEEDINGS OF 2019 7TH INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC)
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Asmae Chakir, Mohamed Tabaa, Fouad Moutaouakkil, Hicham Medromi, Karim Alami
4TH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS (SCA' 19)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Bassma Jioudi, Essaid Sabir, Fouad Moutaouakkil, Hicham Medromi
2019 IEEE 5TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT)
(2019)