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Michela Longo
Department of Energy, Politecnico di Milano, 20156 Milano, Italy

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Journal article
Published: 19 August 2021 in Energies
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The present paper proposes a new methodology to aid the electrification process of local public transport (LPT). In more detail, real drive cycles of traditional buses currently in use are evaluated together with other data to simulate the consumption of equivalent e-buses (electric buses) with similar characteristics. The results are then used in order to design the best charging infrastructure. The proposed methodology is applied to the case study of Algeciras Bay, where a specific line of LPT is considered. Real measurements are used as data for the simulation model, and the average consumption of an equivalent e-bus is obtained for different operating conditions. Based on these results, different sizes and locations for fast-charging infrastructure are proposed, and the size of the depot charging system is defined trying to maintain the current buses timetable. Finally, some future developments of the present work are presented by considering other bus lines that may benefit from the introduction of the defined charging systems.

ACS Style

Carola Leone; Giorgio Piazza; Michela Longo; Stefano Bracco. Electrification of LPT in Algeciras Bay: A New Methodology to Assess the Consumption of an Equivalent E-Bus. Energies 2021, 14, 5117 .

AMA Style

Carola Leone, Giorgio Piazza, Michela Longo, Stefano Bracco. Electrification of LPT in Algeciras Bay: A New Methodology to Assess the Consumption of an Equivalent E-Bus. Energies. 2021; 14 (16):5117.

Chicago/Turabian Style

Carola Leone; Giorgio Piazza; Michela Longo; Stefano Bracco. 2021. "Electrification of LPT in Algeciras Bay: A New Methodology to Assess the Consumption of an Equivalent E-Bus." Energies 14, no. 16: 5117.

Journal article
Published: 06 August 2021 in Energies
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The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.

ACS Style

Seyed Miraftabzadeh; Michela Longo; Federica Foiadelli; Marco Pasetti; Raul Igual. Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey. Energies 2021, 14, 4776 .

AMA Style

Seyed Miraftabzadeh, Michela Longo, Federica Foiadelli, Marco Pasetti, Raul Igual. Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey. Energies. 2021; 14 (16):4776.

Chicago/Turabian Style

Seyed Miraftabzadeh; Michela Longo; Federica Foiadelli; Marco Pasetti; Raul Igual. 2021. "Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey." Energies 14, no. 16: 4776.

Book chapter
Published: 26 May 2021 in Self-driving Vehicles and Enabling Technologies [Working Title]
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The trends of main interest on a global scale are those that can influence the development of humanity in the long term and are sometimes referred to as megatrends. The changes they bring with them can span several generations, profoundly changing society and, consequently, the competitive landscape of companies. The megatrends are numerous and each one involves the development of entire areas of activity. It is important to identify the megatrends of interest for strategic mobility planning and follow their developments, in order to consider them in the planning processes and correctly pilot investments. Megatrends are made possible and also influenced by the offer of new technologies, and lead to changes in cultural models. This chapter shows an era characterized by major technological innovations that are changing people’s ways of thinking and acting, with the establishment of new mobility models in order to meet new emerging needs.

ACS Style

Michela Longo; Wahiba Yaïci; Federica Foiadelli. Future Mobility Advances and Trends. Self-driving Vehicles and Enabling Technologies [Working Title] 2021, 1 .

AMA Style

Michela Longo, Wahiba Yaïci, Federica Foiadelli. Future Mobility Advances and Trends. Self-driving Vehicles and Enabling Technologies [Working Title]. 2021; ():1.

Chicago/Turabian Style

Michela Longo; Wahiba Yaïci; Federica Foiadelli. 2021. "Future Mobility Advances and Trends." Self-driving Vehicles and Enabling Technologies [Working Title] , no. : 1.

Original article
Published: 29 April 2021 in Journal of Electrical Engineering & Technology
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Road transport electrification is essential for meeting the European Union's goals of decarbonization and climate change. In this context, an Ultra-Fast Charging (UFC) system is deemed necessary to facilitate the massive penetration of Electric Vehicles (EVs) on the market; particularly as medium-long distance travels are concerned. Anyway, an ultra-fast charging infrastructure represents the most critical point as regards hardware technology, grid-related issues, and financial sustainability. Thus far, this paper presents an impact analysis of a fast-charging station on the grid in terms of power consumption, obtained by the Monte Carlo simulation. Simulation results show that it is not economical convenient size the assumed ultra-fast charging station for the maximum possible power also considering its high impact on the grid. In view of the results obtained from the impact analysis, the last part of the paper focuses on finding a method to reduce the power installed for the DC/DC stage while keeping the possibility for the electric vehicle to charge at their maximum power. To achieve this goal a modular approach is proposed. Finally, two different modular architectures are presented and compared. In both the solutions, the probability of having EVs charging at limited power is less than 5%.

ACS Style

Carola Leone; Michela Longo. Modular Approach to Ultra-fast Charging Stations. Journal of Electrical Engineering & Technology 2021, 16, 1971 -1984.

AMA Style

Carola Leone, Michela Longo. Modular Approach to Ultra-fast Charging Stations. Journal of Electrical Engineering & Technology. 2021; 16 (4):1971-1984.

Chicago/Turabian Style

Carola Leone; Michela Longo. 2021. "Modular Approach to Ultra-fast Charging Stations." Journal of Electrical Engineering & Technology 16, no. 4: 1971-1984.

Review
Published: 19 March 2021 in Sensors
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This paper summarises a literature review on the applications of Internet of Things (IoT) with the aim of enhancing building energy use and reducing greenhouse gas emissions (GHGs). A detailed assessment of contemporary practical reviews and works was conducted to understand how different IoT systems and technologies are being developed to increase energy efficiencies in both residential and commercial buildings. Most of the reviewed works were invariably related to the dilemma of efficient heating systems in buildings. Several features of the central components of IoT, namely, the hardware and software needed for building controls, are analysed. Common design factors across the many IoT systems comprise the selection of sensors and actuators and their powering techniques, control strategies for collecting information and activating appliances, monitoring of actual data to forecast prospect energy consumption and communication methods amongst IoT components. Some building energy applications using IoT are provided. It was found that each application presented has the potential for significant energy reduction and user comfort improvement. This is confirmed in two case studies summarised, which report the energy savings resulting from implementing IoT systems. Results revealed that a few elements are user-specific that need to be considered in the decision processes. Last, based on the studies reviewed, a few aspects of prospective research were recommended.

ACS Style

Wahiba Yaïci; Karthik Krishnamurthy; Evgueniy Entchev; Michela Longo. Recent Advances in Internet of Things (IoT) Infrastructures for Building Energy Systems: A Review. Sensors 2021, 21, 2152 .

AMA Style

Wahiba Yaïci, Karthik Krishnamurthy, Evgueniy Entchev, Michela Longo. Recent Advances in Internet of Things (IoT) Infrastructures for Building Energy Systems: A Review. Sensors. 2021; 21 (6):2152.

Chicago/Turabian Style

Wahiba Yaïci; Karthik Krishnamurthy; Evgueniy Entchev; Michela Longo. 2021. "Recent Advances in Internet of Things (IoT) Infrastructures for Building Energy Systems: A Review." Sensors 21, no. 6: 2152.

Journal article
Published: 06 February 2021 in Energies
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The ubiquitous influence of E-mobility, especially electrical vehicles (EVs), in recent years has been considered in the electrical power system in which CO2 reduction is the primary concern. Having an accurate and timely estimation of the total energy demand of EVs defines the interaction between customers and the electrical power grid, considering the traffic flow, power demand, and available charging infrastructures around a city. The existing EV energy prediction methods mainly focus on a single electric vehicle energy demand; to the best of our knowledge, none of them address the total energy that all EVs consume in a city. This situation motivated us to develop a novel estimation model in the big data regime to calculate EVs’ total energy consumption for any desired time interval. The main contribution of this article is to learn the generic demand patterns in order to adjust the schedules of power generation and prevent any electrical disturbances. The proposed model successfully handled 100 million records of real-world taxi routes and weather condition datasets, demonstrating that energy consumptions are highly correlated to the weekdays’ traffic flow. Moreover, the pattern identifies Thursdays and Fridays as the days of peak energy usage, while weekend days and holidays present the lowest range.

ACS Style

Seyed Miraftabzadeh; Michela Longo; Federica Foiadelli. Estimation Model of Total Energy Consumptions of Electrical Vehicles under Different Driving Conditions. Energies 2021, 14, 854 .

AMA Style

Seyed Miraftabzadeh, Michela Longo, Federica Foiadelli. Estimation Model of Total Energy Consumptions of Electrical Vehicles under Different Driving Conditions. Energies. 2021; 14 (4):854.

Chicago/Turabian Style

Seyed Miraftabzadeh; Michela Longo; Federica Foiadelli. 2021. "Estimation Model of Total Energy Consumptions of Electrical Vehicles under Different Driving Conditions." Energies 14, no. 4: 854.

Journal article
Published: 03 February 2021 in Journal of Energy Resources Technology
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Overall, there are numerous sustainable sources of renewable, low-temperature heat, principally solar energy, geothermal energy, and energy produced from industrial wastes. Extended utilization of these low-temperature alternatives has a certain capacity of decreasing fossil fuel use with its associated very hazardous greenhouse gas emissions. Researchers have commonly recognized the organic Rankine cycle (ORC) as a feasible and suitable system to produce electrical power from renewable sources based on its advantageous use of volatile organic fluids as working fluids (WFs). Researchers have similarly shown an affinity to the exploitation of zeotropic mixtures as ORC WFs due to their capability to enhance the thermodynamic performance of ORC systems, an achievement supported by improved fits of the temperature profiles of the WF and the heat source/sink. This paper determines both the technical feasibility and the benefits of using zeotropic mixtures as WFs by means of a simulation study of an ORC system. This study analyzes the thermodynamic performance of ORC systems using zeotropic WF mixtures to produce electricity driven by low-temperature solar heat sources for use in buildings. A thermodynamic model is created with an ORC system with and without a regenerator. Five zeotropic mixtures with diverse compositions between 0 and 1 in 0.2 increments of R245fa/propane, R245fa/hexane, R245fa/heptane, pentane/hexane, and isopentane/hexane are assessed and compared with identify the best blends of mixtures that are able to produce superior efficiency in their system cycles. Results disclosed that R245fa/propane (0.4/0.6) with regenerator produces the highest net power output of 7.9 kW and cycle efficiency of 9.4% at the operating condition with a hot source temperature of 85 °C. The study also investigates the effects of the volume flow ratio, and evaporation and condensation temperature glide on the ORC’s thermodynamic performance. Following a thorough analysis of each mixture, R245fa/propane is chosen for a parametric study to examine the effects of operating factors on the system’s efficiency and sustainability index. It was found that the highest cycle efficiency and highest second law cycle efficiency of around 10.5% and 84.0%, respectively, were attained with a mass composition of 0.6/0.4 at the hot source temperature of 95 °C and cold source temperature of 20 °C with a net power output of 9.6 kW. Moreover, results revealed that for zeotropic mixtures, there is an optimal composition range within which binary mixtures are tending to work more efficiently than the component pure fluids. In addition, a significant increase in cycle efficiency can be achieved with a regenerative ORC, with cycle efficiency in the range 3.1–9.8% versus 8.6–17.4% for ORC both without and with regeneration, respectively. In conclusion, utilizing zeotropic mixtures may well expand the restriction faced in choosing WFs for solar-powered ORC-based micro-combined heat and power (CHP) systems.

ACS Style

Wahiba Yaïci; Evgueniy Entchev; Pouyan Talebizadehsardari; Michela Longo. Performance Investigation of Solar Organic Rankine Cycle System With Zeotropic Working Fluid Mixtures for Use in Micro-Cogeneration. Journal of Energy Resources Technology 2021, 143, 1 -38.

AMA Style

Wahiba Yaïci, Evgueniy Entchev, Pouyan Talebizadehsardari, Michela Longo. Performance Investigation of Solar Organic Rankine Cycle System With Zeotropic Working Fluid Mixtures for Use in Micro-Cogeneration. Journal of Energy Resources Technology. 2021; 143 (9):1-38.

Chicago/Turabian Style

Wahiba Yaïci; Evgueniy Entchev; Pouyan Talebizadehsardari; Michela Longo. 2021. "Performance Investigation of Solar Organic Rankine Cycle System With Zeotropic Working Fluid Mixtures for Use in Micro-Cogeneration." Journal of Energy Resources Technology 143, no. 9: 1-38.

Journal article
Published: 09 November 2020 in Applied Sciences
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Globally there are several viable sources of renewable, low-temperature heat (below 130 °C), particularly solar energy, geothermal energy, and energy generated from industrial wastes. Increased exploitation of these low-temperature options has the definite potential of reducing fossil fuel consumption with its attendant very harmful greenhouse gas emissions. Researchers have universally identified the organic Rankine cycle (ORC) as a practicable and suitable system to generate electrical power from renewable sources based on its beneficial usage of volatile organic fluids as working fluids (WFs). In recent times, researchers have also shown a preference towards deployment of zeotropic mixtures as ORC WFs because of their capacity to improve thermodynamic performance of ORC systems, a feat enabled through the greater matching of the temperature profiles of the WF and the heat source/sink. This paper demonstrates the thermodynamic, economic and sustainability feasibility, and the notable advantages of using zeotropic mixtures as WFs through a simulation study of an ORC system. The study examines first the thermodynamic performance of ORC systems using zeotropic mixtures to generate electricity powered by a low-temperature solar heat source for building applications. A thermodynamic model is developed with a solar-driven ORC system both with and excluding a regenerator. Twelve zeotropic mixtures with varying compositions are evaluated and compared to identify the best combinations of mixtures that can yield high performance and high efficiency in their system cycles. The study also examines the effects of the volume flow ratio, and evaporation and condensation temperature glides on the ORC’s thermodynamic performance. Following a detailed analysis of each mixture, R245fa/propane and butane/propane are selected for parametric study to investigate the influence of operating parameters on the system’s efficiency and sustainability index. For zeotropic mixtures, results disclosed that there is an optimal composition range within which binary mixtures are inclined to perform more efficiently than the component pure fluids. In addition, a substantial enhancement in cycle efficiency can be obtained by a regenerative ORC, with cycle efficiency ranging between 3.1–9.8% and 8.6–17.4% for ORC both without and with regeneration, respectively. Results also revealed that exploiting zeotropic mixtures could enlarge the limitation experienced in selecting WFs for low-temperature solar ORCs. Moreover, a detailed economic with a sensitivity analysis of the solar ORC system was performed to evaluate the cost of the electricity and other economic criteria. The outcome of this investigation should be useful in the thermo-economic feasibility assessments of solar-driven ORC systems using working fluid mixtures to find the optimum operating range for maximum performance and minimum cost.

ACS Style

Wahiba Yaïci; Evgueniy Entchev; Pouyan Talebizadehsardari; Michela Longo. Thermodynamic, Economic and Sustainability Analysis of Solar Organic Rankine Cycle System with Zeotropic Working Fluid Mixtures for Micro-Cogeneration in Buildings. Applied Sciences 2020, 10, 7925 .

AMA Style

Wahiba Yaïci, Evgueniy Entchev, Pouyan Talebizadehsardari, Michela Longo. Thermodynamic, Economic and Sustainability Analysis of Solar Organic Rankine Cycle System with Zeotropic Working Fluid Mixtures for Micro-Cogeneration in Buildings. Applied Sciences. 2020; 10 (21):7925.

Chicago/Turabian Style

Wahiba Yaïci; Evgueniy Entchev; Pouyan Talebizadehsardari; Michela Longo. 2020. "Thermodynamic, Economic and Sustainability Analysis of Solar Organic Rankine Cycle System with Zeotropic Working Fluid Mixtures for Micro-Cogeneration in Buildings." Applied Sciences 10, no. 21: 7925.

Original article
Published: 02 October 2020 in Journal of Electrical Engineering & Technology
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Many different types of electric vehicle (EV) charging technologies are described in literature and implemented in practical applications. This paper presents an overview of the existing and proposed EV charging technologies in terms of converter topologies, power levels, power flow directions and charging control strategies. An overview of the main charging methods is presented as well, particularly the goal is to highlight an effective and fast charging technique for lithium ions batteries concerning prolonging cell cycle life and retaining high charging efficiency. Once presented the main important aspects of charging technologies and strategies, in the last part of this paper, through the use of genetic algorithm, the optimal size of the charging systems is estimated and, on the base of a sensitive analysis, the possible future trends in this field are finally valued.

ACS Style

Morris Brenna; Federica Foiadelli; Carola Leone; Michela Longo. Electric Vehicles Charging Technology Review and Optimal Size Estimation. Journal of Electrical Engineering & Technology 2020, 15, 2539 -2552.

AMA Style

Morris Brenna, Federica Foiadelli, Carola Leone, Michela Longo. Electric Vehicles Charging Technology Review and Optimal Size Estimation. Journal of Electrical Engineering & Technology. 2020; 15 (6):2539-2552.

Chicago/Turabian Style

Morris Brenna; Federica Foiadelli; Carola Leone; Michela Longo. 2020. "Electric Vehicles Charging Technology Review and Optimal Size Estimation." Journal of Electrical Engineering & Technology 15, no. 6: 2539-2552.

Journal article
Published: 26 July 2020 in Applied Sciences
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The objective of this paper is to assess the probable effect that electric vehicles (EVs), already in wide circulation and likely to increase exponentially in the near future, will have on distribution networks. Analyses are conducted on the necessary interventions and evolutions that the distribution grid will have to undergo in order to manage this new and progressively increasing heavy load of energy. Thus, in order to understand the technical limitations of the current infrastructure and how transformers and lines will be able to withstand the increasing penetration of EVs, urban and rural grid models have been studied, to highlight the differences between the impacts on high- and low-density networks. In addition, an analysis of fast charging station impact has been carried out. MATLAB software was used to perform the simulations for the creation of scripts, which were then exploited within the DIgSILENT PowerFactory software. This allowed evaluation of the networks under examination and verification of the effectiveness of the proposed solutions. In concluding based on findings, some methods of managing the distribution network to optimise the network parameters analysed in the study and a solution involving electric vehicles are recommended.

ACS Style

Enrico Mancini; Michela Longo; Wahiba Yaici; Dario Zaninelli. Assessment of the Impact of Electric Vehicles on the Design and Effectiveness of Electric Distribution Grid with Distributed Generation. Applied Sciences 2020, 10, 5125 .

AMA Style

Enrico Mancini, Michela Longo, Wahiba Yaici, Dario Zaninelli. Assessment of the Impact of Electric Vehicles on the Design and Effectiveness of Electric Distribution Grid with Distributed Generation. Applied Sciences. 2020; 10 (15):5125.

Chicago/Turabian Style

Enrico Mancini; Michela Longo; Wahiba Yaici; Dario Zaninelli. 2020. "Assessment of the Impact of Electric Vehicles on the Design and Effectiveness of Electric Distribution Grid with Distributed Generation." Applied Sciences 10, no. 15: 5125.

Journal article
Published: 15 June 2020 in Energies
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This study evaluates the impact of energy on the distribution network at the point of connection of an electric plant of a railway car parking facility in which charging points for electric vehicles (EVs) were installed. The objective is to identify a possible load curve of the simulated car park and, based on the principle of vehicle-to-grid (V2G) technology, to develop an appropriate algorithm. Such an algorithm explores the possibility of a two-way energy flow between the connected vehicles and the electricity grid, and performs a peak shaving of the load curve of the plant under examination in order to avoid absorption peaks, which are usually difficult to manage when using the distribution system operator (DSO). The work also presents the coupling with a photovoltaic system designed specifically for the car park. The study results are presented after a summary of the current state of development of electric mobility, describing the various types of EVs, the charging infrastructure, and the possible applications in smart grids (SGs).

ACS Style

Ruben Garruto; Michela Longo; Wahiba Yaïci; Federica Foiadelli. Connecting Parking Facilities to the Electric Grid: A Vehicle-to-Grid Feasibility Study in a Railway Station’s Car Park. Energies 2020, 13, 3083 .

AMA Style

Ruben Garruto, Michela Longo, Wahiba Yaïci, Federica Foiadelli. Connecting Parking Facilities to the Electric Grid: A Vehicle-to-Grid Feasibility Study in a Railway Station’s Car Park. Energies. 2020; 13 (12):3083.

Chicago/Turabian Style

Ruben Garruto; Michela Longo; Wahiba Yaïci; Federica Foiadelli. 2020. "Connecting Parking Facilities to the Electric Grid: A Vehicle-to-Grid Feasibility Study in a Railway Station’s Car Park." Energies 13, no. 12: 3083.

Journal article
Published: 20 April 2020 in Energies
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Electric vehicles (EVs), which have become a fundamental part of the automotive industry, were developed as part of concerted worldwide efforts to reduce dependency on fossil fuels due to their devastating effects on the environment. The aim of this study was to analyse a complete trip using an EV from Toronto to Ottawa (Canada) along Ontario’s Highway 401, considering that use of conventional vehicles powered by petrol or diesel allow one to make this trip without stops; using EVs, it is necessary to recharge the vehicle. For this purpose, an algorithm was developed for optimizing recharging stops during a complete trip. In particular, the simulations analysed the number of stops and specifically where it is possible to recharge taking into account the actual charging stations (CSs) located along the trip and the time of recharge during the stops as a function of the state of charge (SoC) of the vehicle. Using this approach, it was possible to evaluate the suitable coverage of the CSs on the stretch considered as well as to assess the main parameters that influence performance on the route.

ACS Style

Andrea Stabile; Michela Longo; Wahiba Yaïci; Federica Foiadelli. An Algorithm for Optimization of Recharging Stops: A Case Study of Electric Vehicle Charging Stations on Canadian’s Ontario Highway 401. Energies 2020, 13, 2055 .

AMA Style

Andrea Stabile, Michela Longo, Wahiba Yaïci, Federica Foiadelli. An Algorithm for Optimization of Recharging Stops: A Case Study of Electric Vehicle Charging Stations on Canadian’s Ontario Highway 401. Energies. 2020; 13 (8):2055.

Chicago/Turabian Style

Andrea Stabile; Michela Longo; Wahiba Yaïci; Federica Foiadelli. 2020. "An Algorithm for Optimization of Recharging Stops: A Case Study of Electric Vehicle Charging Stations on Canadian’s Ontario Highway 401." Energies 13, no. 8: 2055.

Journal article
Published: 19 February 2020 in Sustainability
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In this progressing technological advancement world, hybrid systems for power generation is one of the most promising fields for any researcher. In this context, photovoltaic-biomass hybrid systems with off-grid applications have become extremely popular with both Governments and individual users in rural areas of any part of the world. This system has gained popularity because of low cost, sustainability and very effective outcome with the use of natural resources at the rural areas. In this paper a proposed hybrid system which contains photovoltaics (PV) and biomass along with an additional storage has been considered to find the different aspects from an end user point of view. It also discusses the feasibility of the proposed model for an off-grid power system located in the remote areas of Ashuganj, Bangladesh. In order to analyse the pollutant emissions and calculate the cost parameters of the proposed system, RETScreen simulation software was deployed. This research also carries out a brief financial analysis considering the annual income of the end user and the payback periods for the installed system. It endeavours to provide complete information about different parameters which also includes the environmental impacts involved in establishing the proposed system. The conventional system in the pilot area is a kerosene-based system, hence in this research, a comparison between the proposed and the conventional system has been analysed using simulated results. The simple payback of the project was estimated to be 6.9 years and this model will be able to reduce the CO2 emissions by approximately 3.81 tonnes per year. The results have significantly supported the proposed system to be more reliable, environmentally-friendly and less costly than the conventional kerosene-based system.

ACS Style

Nusrat Chowdhury; Chowdhury Akram Hossain; Michela Longo; Wahiba Yaïci. Feasibility and Cost Analysis of Photovoltaic-Biomass Hybrid Energy System in Off-Grid Areas of Bangladesh. Sustainability 2020, 12, 1568 .

AMA Style

Nusrat Chowdhury, Chowdhury Akram Hossain, Michela Longo, Wahiba Yaïci. Feasibility and Cost Analysis of Photovoltaic-Biomass Hybrid Energy System in Off-Grid Areas of Bangladesh. Sustainability. 2020; 12 (4):1568.

Chicago/Turabian Style

Nusrat Chowdhury; Chowdhury Akram Hossain; Michela Longo; Wahiba Yaïci. 2020. "Feasibility and Cost Analysis of Photovoltaic-Biomass Hybrid Energy System in Off-Grid Areas of Bangladesh." Sustainability 12, no. 4: 1568.

Original research
Published: 16 January 2020 in International Journal of Energy and Environmental Engineering
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In response to climate change concerns, most of the industrialised countries have committed in recent years to increase their share of Renewable Energy Sources to reduce Greenhouse Gas emissions. Therefore, the rapid deployment of small-scale photovoltaic (PV) systems, mainly in residential applications, is starting to represent a considerable portion of the available electrical power generation and, for this reason, the stochastic and intermittent nature of these systems are affecting the operation of centralised generation (CG) resources. Network operators are constantly changing their approach to both short-term and long-term forecasting activities due to the higher complexity of the scenario in which more and more stakeholders have active roles in the network. An increasing number of customers must be treated as prosumers and no longer only as consumers. In this context, storage technologies are considered the suitable solution. These can be necessary in order to solve and fill the problems of the renewable distributed sources are introducing in the management of the network infrastructure. The aim of this work was to create a model in order to evaluate the impact of power generation considering PV systems in Australia along with a model to simulate Battery Energy Storage Systems (BESSs) and Electric Vehicles future contributions using MATLAB. The methodology used to develop these models was based on statistical assumptions concerning the available details about PV systems installed and current storage technologies. It has been shown that in all the scenarios analysed, the future adoption of rooftop PV panels and impact on the CG is incredibly higher than the uptake of energy storage systems. Hence, the influence on the demand will be driven by the behaviour of the PV systems. Only in the hypothetical scenario in which the installations of BESSs will assume comparable levels of the PV systems, it will be possible to better manage the centralised resources.

ACS Style

Morris Brenna; Alessandro Corradi; Federica Foiadelli; Michela Longo; Wahiba Yaici. Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia. International Journal of Energy and Environmental Engineering 2020, 11, 9 -31.

AMA Style

Morris Brenna, Alessandro Corradi, Federica Foiadelli, Michela Longo, Wahiba Yaici. Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia. International Journal of Energy and Environmental Engineering. 2020; 11 (1):9-31.

Chicago/Turabian Style

Morris Brenna; Alessandro Corradi; Federica Foiadelli; Michela Longo; Wahiba Yaici. 2020. "Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia." International Journal of Energy and Environmental Engineering 11, no. 1: 9-31.

Research article
Published: 12 December 2019 in Journal of Advanced Transportation
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In this paper, an optimization model is defined for the design of a smart energy infrastructure integrating different technologies to satisfy the electrical demand of a given site. The considered smart energy infrastructure includes a photovoltaic plant, electrical storage systems, electric vehicles (EVs), and charging stations. The objective function of the optimization model considers the costs related to the installation and maintenance of the considered technologies, as well as the costs associated with the energy exchanges with the external grid. A very extensive numerical analysis is reported in the paper, referred to a test case in a real site in Liguria Region, in the north of Italy. Many scenarios are analyzed and discussed, with specific attention to evaluate the role of electric mobility within a smart energy infrastructure and a focus on EVs acting as mobile storage systems.

ACS Style

Stefano Bracco; Federico Delfino; Michela Longo; Silvia Siri. Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy. Journal of Advanced Transportation 2019, 2019, 1 -19.

AMA Style

Stefano Bracco, Federico Delfino, Michela Longo, Silvia Siri. Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy. Journal of Advanced Transportation. 2019; 2019 ():1-19.

Chicago/Turabian Style

Stefano Bracco; Federico Delfino; Michela Longo; Silvia Siri. 2019. "Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy." Journal of Advanced Transportation 2019, no. : 1-19.

Journal article
Published: 30 October 2019 in Energies
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Increasing problems of air pollution caused by petrol-fueled vehicles had a positive impact on the expanded use and acceptance of the electric vehicles (EVs). Currently, both academic and institutional researchers are conducting studies to explore alternative methods of charging vehicles in a fast, reliable, and safe way that would compensate for the drawbacks of the otherwise beneficial and sustainable EVs. The wireless power transfer (WPT) systems are now offered as a possible option. Another option is the dynamic wireless charging (DWC) system, which is considered the best application of a WPT system by many practitioners and researchers because it enables vehicles to increase their driving ranges and decrease their battery sizes, which are the main problems of the EVs. A DWC system is composed of many sub-systems that require different approaches for their design and optimization. The aim of this work is to find the most functional and optimal configuration of magnetic couplers for a DWC system. This was done by performing an investigation of the main magnetic couplers adopted by the system using Ansys® Maxwell as a finite element method software. The results were analyzed in detail to identify the best option. The values of the coupling coefficients have been obtained for every configuration examined. The results disclosed that the best trade-off between performance and economic feasibility is the DD–DDQ pad, which is characterized by the best values of coupling coefficient and misalignment tolerance, without the need for two power converters for each side, as in the DDQ–DDQ configuration.

ACS Style

Davide De Marco; Alberto Dolara; Michela Longo; Wahiba Yaïci. Design and Performance Analysis of Pads for Dynamic Wireless Charging of EVs using the Finite Element Method. Energies 2019, 12, 4139 .

AMA Style

Davide De Marco, Alberto Dolara, Michela Longo, Wahiba Yaïci. Design and Performance Analysis of Pads for Dynamic Wireless Charging of EVs using the Finite Element Method. Energies. 2019; 12 (21):4139.

Chicago/Turabian Style

Davide De Marco; Alberto Dolara; Michela Longo; Wahiba Yaïci. 2019. "Design and Performance Analysis of Pads for Dynamic Wireless Charging of EVs using the Finite Element Method." Energies 12, no. 21: 4139.

Original research
Published: 03 April 2019 in International Journal of Energy and Environmental Engineering
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This paper presents an optimisation methodology for simulating the integration of distributed generation and electric vehicles (EVs) in a residential district. A model of a smart residential district is proposed. Different charging scenarios (CS) for private cars are considered for simulating different power demand distributions during the day. Four different case studies are investigated, namely the Base Case, in which no EVs are present in the district and three study cases with different CSs. A global optimisation method based on a genetic algorithm approach was applied on the model to find the total power from PV panels installed and co-generative micro gas turbines while minimising the annual energy cost in the district for the four different scenarios. In conclusion, the results showed that the use of EVs in the district introduces considerable savings with respect to the Base Case. Moreover, the impact of the chosen CS is nearly insignificant under a purely economic perspective even if it is relevant for grid management. Additionally, the optimum amounts of installed power vary in a limited range if the distance travelled by EVs, users’ departure and arrival time change broadly.

ACS Style

Michela Longo; Federica Foiadelli; Wahiba Yaïci. Simulation and optimisation study of the integration of distributed generation and electric vehicles in smart residential district. International Journal of Energy and Environmental Engineering 2019, 10, 271 -285.

AMA Style

Michela Longo, Federica Foiadelli, Wahiba Yaïci. Simulation and optimisation study of the integration of distributed generation and electric vehicles in smart residential district. International Journal of Energy and Environmental Engineering. 2019; 10 (3):271-285.

Chicago/Turabian Style

Michela Longo; Federica Foiadelli; Wahiba Yaïci. 2019. "Simulation and optimisation study of the integration of distributed generation and electric vehicles in smart residential district." International Journal of Energy and Environmental Engineering 10, no. 3: 271-285.

Journal article
Published: 06 March 2019 in Sustainability
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Power is one of the key requirements for the development of economies and upgrading of standards of living of developing countries. Countries such as Bangladesh depend largely on fossil fuels such as diesel fuel and natural gas to produce the main proportion of their electricity. However, this country’s combination of limited natural gas reserves high fuel prices and escalating costs of transmission and distribution lines has greatly increased the unit cost of electricity generation and it is becoming difficult for customers to pay for electricity. On the other hand, burning fuel causes environmental pollution that leads to global warming which is ultimately responsible for climate change and its devastating consequences. In this study, we have recommended a stand-alone system for the traditional consumption of domestic electric use at residential units in Bangladesh. We have shown a comparison of using the stand-alone photovoltaic (PV) system with the traditional grid connection. Although the initial set-up cost is high, it becomes profitable as people are supplied with electricity, which is being generated from PV as a result minimizing the energy cost from the grid, and in addition, they can later make savings from this system. This paper, therefore, aims at determining the optimum size of the rooftop solar home system that will fulfil all the criteria for powering up electrical appliances at an affordable price. Comparative analysis of both energy systems based on the cost calculation has been performed by means of the Hybrid Optimization of Multiple Energy Renewables (HOMER) software. The validity of this proposal and its usefulness is also analysed.

ACS Style

Chowdhury Akram Hossain; Nusrat Chowdhury; Michela Longo; Wahiba Yaïci. System and Cost Analysis of Stand-Alone Solar Home System Applied to a Developing Country. Sustainability 2019, 11, 1403 .

AMA Style

Chowdhury Akram Hossain, Nusrat Chowdhury, Michela Longo, Wahiba Yaïci. System and Cost Analysis of Stand-Alone Solar Home System Applied to a Developing Country. Sustainability. 2019; 11 (5):1403.

Chicago/Turabian Style

Chowdhury Akram Hossain; Nusrat Chowdhury; Michela Longo; Wahiba Yaïci. 2019. "System and Cost Analysis of Stand-Alone Solar Home System Applied to a Developing Country." Sustainability 11, no. 5: 1403.

Journal article
Published: 05 February 2019 in Energies
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In this paper a general model for the estimation of the uncoordinated charging costs of Electric Vehicles (EVs) in the presence of distributed and intermittent generation, and variable electricity tariffs is presented. The proposed method aims at estimating the monthly average cost of uncoordinated charging of a single EV depending on the hour at which the EV is plugged into the EV Supply Equipment (EVSE). The feasibility and relevance of the proposed model is verified by applying the considered cost estimation method to a suitable use case. A single EV charging service offered at a public building equipped with a Photovoltaic (PV) system has been considered as reference case. The proposed model has been applied to the PV production and loads consumption data collected during one year, and the results of the study compared with the Time-Of-Use (TOU) electricity tariff. The application of the proposed model identified noticeable deviations among the computed EV charging costs and the reference TOU profile, with differences up to 40%, depending on the considered month and on the time of charging during the day. It can be concluded that such model could be used to properly detect opportunities of energy savings, and to define dedicated EV price signals that could help to promote the optimal use of distributed energy resources.

ACS Style

Marco Pasetti; Stefano Rinaldi; Alessandra Flammini; Michela Longo; Federica Foiadelli. Assessment of Electric Vehicle Charging Costs in Presence of Distributed Photovoltaic Generation and Variable Electricity Tariffs. Energies 2019, 12, 499 .

AMA Style

Marco Pasetti, Stefano Rinaldi, Alessandra Flammini, Michela Longo, Federica Foiadelli. Assessment of Electric Vehicle Charging Costs in Presence of Distributed Photovoltaic Generation and Variable Electricity Tariffs. Energies. 2019; 12 (3):499.

Chicago/Turabian Style

Marco Pasetti; Stefano Rinaldi; Alessandra Flammini; Michela Longo; Federica Foiadelli. 2019. "Assessment of Electric Vehicle Charging Costs in Presence of Distributed Photovoltaic Generation and Variable Electricity Tariffs." Energies 12, no. 3: 499.

Book chapter
Published: 30 January 2019 in New Trends in Electrical Vehicle Powertrains
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Across the globe, governments have been tackling the concerning problem of air-polluting emissions by committing significant resources to improving air quality. Achieving the goal of air purification will require that both the private and public sectors invest in clean energy technology. It will also need a transition from conventional houses to smart houses and from conventional vehicles to electric vehicles (EVs). It will be necessary to integrate renewable energy sources (RESs) such as solar photovoltaics, wind energy systems and diverse varieties of bioenergies. In addition, there are opportunities for decarbonisation within the transportation sector itself. Paradoxically, it appears that the same transportation sector might also present an opportunity for a speedy decarbonisation. Statistics indicate that transportation is responsible for 14% of global greenhouse gas (GHG) emissions. However, there are numerous options for viable clean technology, including the plug-in electric vehicles (PEVs). There are indeed many technologies and strategies, which reduce transportation emissions such as public transportation, vehicle light weighing, start-stop trains, improved engine technology, fuel substitution and production improvement, hydrogen, power-to-gas, and natural gas heavy fleets. This work concentrates on EV adoption integrated with RES. Specifically, this chapter examines the feasibility of significantly reducing GHG emissions by integrating EVs with RESs for sustainable mobility.

ACS Style

Michela Longo; Federica Foiadelli; Wahiba Yaïci. Electric Vehicles Integrated with Renewable Energy Sources for Sustainable Mobility. New Trends in Electrical Vehicle Powertrains 2019, 1 .

AMA Style

Michela Longo, Federica Foiadelli, Wahiba Yaïci. Electric Vehicles Integrated with Renewable Energy Sources for Sustainable Mobility. New Trends in Electrical Vehicle Powertrains. 2019; ():1.

Chicago/Turabian Style

Michela Longo; Federica Foiadelli; Wahiba Yaïci. 2019. "Electric Vehicles Integrated with Renewable Energy Sources for Sustainable Mobility." New Trends in Electrical Vehicle Powertrains , no. : 1.