ORCID Profile
0000-0003-3482-609X
Current Organisations
Virginia Tech
,
Teesside University
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Publisher: MDPI AG
Date: 13-07-2021
DOI: 10.3390/SU13147808
Abstract: With a goal of achieving net-zero emissions by developing Smart Cities (SCs) and industrial decarbonization, there is a growing desire to decarbonize the renewable energy sector by accelerating green buildings (GBs) construction, electric vehicles (EVs), and ensuring long-term stability, with the expectation that emissions will need to be reduced by at least two thirds by 2035 and by at least 90% by 2050. Implementing GBs in urban areas and encouraging the use of EVs are cornerstones of transition towards SCs, and practical actions that governments can consider to help with improving the environment and develop SCs. This paper investigates different aspects of smart cities development and introduces new feasible indicators related to GBs and EVs in designing SCs, presenting existing barriers to smart cities development, and solutions to overcome them. The results demonstrate that feasible and achievable policies such as the development of the zero-energy, attention to design parameters, implementation of effective indicators for GBs and EVs, implementing strategies to reduce the cost of production of EVs whilst maintaining good quality standards, load management, and integrating EVs successfully into the electricity system, are important in smart cities development. Therefore, strategies to governments should consider the full dynamics and potential of socio-economic and climate change by implementing new energy policies on increasing investment in EVs, and GBs development by considering energy, energy, techno-economic, and environmental benefits.
Publisher: Routledge
Date: 03-08-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2021
Publisher: Elsevier BV
Date: 08-2022
Publisher: MDPI AG
Date: 16-11-2022
DOI: 10.3390/APP122211656
Abstract: There has been a rapid increase in government efforts to expand electric vehicle markets by deploying fast-charging stations, promoting uptake through greater investment, and by enacting supportive policies. Government support and private investment have contributed to the expansion of electric vehicles in many countries. The aim of this study is to highlight and analyze the most critical aspects of the expansion of the electric vehicle market, regarding technologies, characteristics, advantages and disadvantages, opportunities, and barriers in Europe. Our study analyzes the progress of electric vehicles by reviewing recent literature based on technology, policy, and government measurements. This study provides comprehensive information on electric vehicles and perspectives that are critical to policymakers, car manufacturers, consumers, and the community. To achieve favorable results, governments should invest in developing electric vehicles and battery technologies, provide subsidies, and develop charging infrastructure. Furthermore, by analyzing current EV sales in ten countries around the world, we assess the operating costs of electric vehicles. Overall EV cost of ownership is influenced by grid electricity price, cost of financing, location, carbon tax, wind speed, and solar insolation.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Publisher: MDPI AG
Date: 09-11-2021
DOI: 10.3390/S21227438
Abstract: The universal paradigm shift towards green energy has accelerated the development of modern algorithms and technologies, among them converters such as Z-Source Inverters (ZSI) are playing an important role. ZSIs are single-stage inverters which are capable of performing both buck and boost operations through an impedance network that enables the shoot-through state. Despite all advantages, these inverters are associated with the non-minimum phase feature imposing heavy restrictions on their closed-loop response. Moreover, uncertainties such as parameter perturbation, unmodeled dynamics, and load disturbances may degrade their performance or even lead to instability, especially when model-based controllers are applied. To tackle these issues, a data-driven model-free adaptive controller is proposed in this paper which guarantees stability and the desired performance of the inverter in the presence of uncertainties. It performs the control action in two steps: First, a model of the system is updated using the current input and output signals of the system. Based on this updated model, the control action is re-tuned to achieve the desired performance. The convergence and stability of the proposed control system are proved in the Lyapunov sense. Experiments corroborate the effectiveness and superiority of the presented method over model-based controllers including PI, state feedback, and optimal robust linear quadratic integral controllers in terms of various metrics.
Publisher: Informa UK Limited
Date: 04-2012
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: Iran (Islamic Republic of)
Location: Iran (Islamic Republic of)
Location: Iran (Islamic Republic of)
Location: United States of America
No related grants have been discovered for Mousa Marzband.