4.7 Article

Neural network-based adaptive control and energy management system of a direct methanol fuel cell in a hybrid renewable power system

Related references

Note: Only part of the references are listed.
Article Construction & Building Technology

Investigation of a solar heating system assisted by coupling with electromagnetic heating unit and phase change energy storage tank: Towards sustainable rural buildings in northern China

Guohui Feng et al.

Summary: Detached buildings in rural areas have potential to promote solar heating systems application. This study optimizes the design parameters to reduce energy wastage and CO2 emissions. Through a multi-attribute evaluation, suitable regions and payback period were determined for sustainable low-carbon development.

SUSTAINABLE CITIES AND SOCIETY (2022)

Article Construction & Building Technology

Enhance the resilience of distribution system against direct and indirect effects of extreme winds using battery energy storage systems

Mohammad Rajabzadeh et al.

Summary: The primary objective of this study is to increase the resilience of the distribution system against extreme winds, while prioritizing critical loads using different battery technologies. Fragility curves and battery placement index are utilized to determine the failure probability of electric poles and the location of batteries. Furthermore, optimal power and energy allocation for battery technologies are achieved through the objective function of curtailed critical loads reduction. The analysis on a case study shows an improvement in the resilience index and a decrease in the cost of curtailed critical loads penalties.

SUSTAINABLE CITIES AND SOCIETY (2022)

Article Construction & Building Technology

Hybrid grid-tie electrification analysis of bio-shared renewable energy systems for domestic application

Heyam Al-Najjar et al.

Summary: The increasing household energy demand in the countries of the global south has led to a search for alternative energy sources. The city of Gaza, for example, relies on large volumes of biomass and abundant solar radiation. A hybrid renewable energy system (HRES) combining solar and biomass is proposed to provide sustainable electrification for highly populated communities.

SUSTAINABLE CITIES AND SOCIETY (2022)

Article Construction & Building Technology

Multi-objective residential load scheduling approach for demand response in smart grid

Zhe Chen et al.

Summary: This study proposes a demand response scheduling approach for residential buildings. By using an optimization algorithm to minimize electricity cost and inconvenience index, it effectively addresses the power balance issue, reduces electricity bills, and ensures occupants' comfort.

SUSTAINABLE CITIES AND SOCIETY (2022)

Article Construction & Building Technology

Blockchain based optimal decision making of dispatchable units in smart grids considering the high uncertainty effects

Xiangqian Zhu et al.

Summary: This study introduces a robust General Type-2 Fuzzy sliding mode controller based on blockchain technology, aimed at enhancing power sharing among distributed generations in off-grid microgrids. Simulation results demonstrate that this controller provides lower steady state error and Total Harmonic Distortion (THD) with faster response compared to other commonly used controllers.

SUSTAINABLE CITIES AND SOCIETY (2022)

Article Energy & Fuels

Characterization of lithium-batteries for high power applications

Gabriele Bandini et al.

Summary: Lithium batteries are widely used in energy storage systems, portable electronics, and electric vehicles due to their high energy density and long service life. However, their use for high-power applications is limited by thermal management and reduced life concerns. This study proposes a method to operate commercial Lithium-ion cells as power-oriented devices, surpassing manufacturer specifications, with a novel internal resistance monitoring strategy to limit battery aging.

JOURNAL OF ENERGY STORAGE (2022)

Article Thermodynamics

Artificial-neural-network-based model predictive control to exploit energy flexibility in multi-energy systems comprising district cooling

Gianluca Coccia et al.

Summary: This study investigates the application of recovering cold thermal energy from a liquid-to-compressed natural gas fuel station to a district cooling system in a residential neighborhood, providing space cooling in summertime. By integrating an artificial neural network-based model predictive control, significant reduction in electrical energy consumption can be achieved.

ENERGY (2021)

Article Construction & Building Technology

A cost-efficient sizing of grid-tied hybrid renewable energy system with different types of demands

Hamid HassanzadehFard et al.

Summary: An optimal energy management strategy is proposed for a hybrid microgrid system to minimize lifetime costs, including various costs and the cost of purchased natural gas. The study shows that utilizing waste can significantly reduce fuel consumption and energy costs.

SUSTAINABLE CITIES AND SOCIETY (2021)

Article Engineering, Multidisciplinary

Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats

Maarten R. Dobbelaere et al.

Summary: Machine learning has significant advantages in the field of chemical engineering, including flexibility, accuracy, and execution speed, but also comes with weaknesses such as lack of interpretability. The biggest opportunities lie in using machine learning for real-time optimization and planning, while the greatest threat is inappropriate use.

ENGINEERING (2021)

Article Construction & Building Technology

A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

Tanveer Ahmad et al.

Sustainable Cities and Society (2020)

Article Construction & Building Technology

A novel control strategy and power management of hybrid PV/FC/SC/battery renewable power system-based grid-connected microgrid

Reza Sedaghati et al.

SUSTAINABLE CITIES AND SOCIETY (2019)

Review Green & Sustainable Science & Technology

A review of energy management strategies for renewable hybrid energy systems with hydrogen backup

F. J. Vivas et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Article Green & Sustainable Science & Technology

Optimal Operation of a Grid-Connected Hybrid Renewable Energy System for Residential Applications

Akbar Maleki et al.

SUSTAINABILITY (2017)

Review Computer Science, Artificial Intelligence

Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey

Jarinah Mohd Ali et al.

EXPERT SYSTEMS WITH APPLICATIONS (2015)

Article Chemistry, Physical

Comparative performance analysis of a hybrid PV/FC/battery stand-alone system using different power management strategies and sizing approaches

Mohammad Sadigh Behzadi et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2015)

Article Chemistry, Physical

Direct methanol fuel cell systems for backup power - Influence of the standby procedure on the lifetime

Martin Mueller et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2014)

Article Engineering, Electrical & Electronic

Future Energy Systems Integrating Renewable Energy Sources into the Smart Power Grid Through Industrial Electronics

Marco Liserre et al.

IEEE INDUSTRIAL ELECTRONICS MAGAZINE (2010)

Article Automation & Control Systems

Neural network based model predictive control for a steel pickling process

Paisan Kittisupakorn et al.

JOURNAL OF PROCESS CONTROL (2009)

Article Green & Sustainable Science & Technology

Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications

M. Uzunoglu et al.

RENEWABLE ENERGY (2009)

Article Chemistry, Physical

Non-isothermal dynamic modelling and optimization of a direct methanol fuel cell

DaeHo Ko et al.

JOURNAL OF POWER SOURCES (2008)

Article Automation & Control Systems

Neural network applications in power electronics and motor drives- An introduction and perspective

Bimal K. Bose

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2007)

Article Computer Science, Interdisciplinary Applications

Neural network inverse model-based controller for the control of a steel pickling process

W Daosud et al.

COMPUTERS & CHEMICAL ENGINEERING (2005)

Article Computer Science, Interdisciplinary Applications

Numerical simulation and optimization of a direct methanol fuel cell

C Xu et al.

COMPUTERS & CHEMICAL ENGINEERING (2005)

Article Engineering, Chemical

Dynamics of the direct methanol fuel cell (DMFC): experiments and model-based analysis

K Sundmacher et al.

CHEMICAL ENGINEERING SCIENCE (2001)