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Dr. Konstantinos Genikomsakis
Inteligg P.C.

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Research Keywords & Expertise

0 Electric Vehicle
0 Energy Efficiency in Buildings
0 Electromobility
0 Energy System Integration
0 Energy system analysis, modelling and optimization

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Electric Vehicle
Electromobility

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Journal article
Published: 28 January 2021 in Energies
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Data-driven models, either simplified or detailed, have been extensively used in the literature for energy assessment in buildings and districts. However, the uncertainty of the estimated parameters, especially of thermal masses in resistance–capacitance (RC) models, still remains a significant challenge, given the wide variety of buildings functionalities, typologies, structures and geometries. Therefore, the sensitivity analysis of the estimated parameters in RC models with respect to different geometric characteristics is necessary to examine the accuracy of identified models. In this work, heavy- and light-structured buildings are simulated in Transient System Simulation Tool (TRNSYS) to analyze the effects of four main geometric characteristics on the total heat demand, maximum heat power and the estimated parameters of an RC model (4R3C), namely net-floor area, windows-to-floor ratio, aspect ratio, and orientation angle. Executing more than 700 simulations in TRNSYS and comparing the outcomes with their corresponding 4R3C model shows that the thermal resistances of 4-facade building structures are estimated with good accuracy regardless of their geometric features, while the insulation level has the highest impact on the estimated parameters. Importantly, the results obtained also indicate that the 4R3C model can estimate the indoor temperature with a mean square error of less than 0.5 °C2 for all cases.

ACS Style

Ali Bagheri; Konstantinos N. Genikomsakis; Véronique Feldheim; Christos S. Ioakimidis. Sensitivity Analysis of 4R3C Model Parameters with Respect to Structure and Geometric Characteristics of Buildings. Energies 2021, 14, 657 .

AMA Style

Ali Bagheri, Konstantinos N. Genikomsakis, Véronique Feldheim, Christos S. Ioakimidis. Sensitivity Analysis of 4R3C Model Parameters with Respect to Structure and Geometric Characteristics of Buildings. Energies. 2021; 14 (3):657.

Chicago/Turabian Style

Ali Bagheri; Konstantinos N. Genikomsakis; Véronique Feldheim; Christos S. Ioakimidis. 2021. "Sensitivity Analysis of 4R3C Model Parameters with Respect to Structure and Geometric Characteristics of Buildings." Energies 14, no. 3: 657.

Review
Published: 05 June 2020 in Sustainability
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Recent data on conventional bike and/or electric bike (e-bike) sharing systems reveal that more than 2900 systems are operating in cities worldwide, indicating the increased adoption of this alternative mode of transportation. Addressing the existing gap in the literature regarding the deployment of e-bike sharing systems (e-BSSs) in particular, this paper reviews their spatio-temporal characteristics, and attempts to (a) map the worldwide distribution of e-BSSs, (b) identify temporal trends in terms of annual growth/expansion of e-BSS deployment worldwide and (c) explore the spatial characteristics of the recorded growth, in terms of adoption on a country scale, population coverage and type of system/initial fleet sizes. To that end, it examines the patterns identified from the global to the country level, based on data collected from an online source of BSS information worldwide. A comparative analysis is performed with a focus on Europe, North America and Asia, providing insights on the growth rate of the specific bikesharing market segment. Although the dockless e-BSS has been only within three years of competition with station-based implementations, it shows a rapid integration to the overall technology diffusion trend, while it is more established in Asia and North America in comparison with Europe and launches with larger fleet sizes.

ACS Style

Nikolaos-Fivos Galatoulas; Konstantinos N. Genikomsakis; Christos S. Ioakimidis. Spatio-Temporal Trends of E-Bike Sharing System Deployment: A Review in Europe, North America and Asia. Sustainability 2020, 12, 4611 .

AMA Style

Nikolaos-Fivos Galatoulas, Konstantinos N. Genikomsakis, Christos S. Ioakimidis. Spatio-Temporal Trends of E-Bike Sharing System Deployment: A Review in Europe, North America and Asia. Sustainability. 2020; 12 (11):4611.

Chicago/Turabian Style

Nikolaos-Fivos Galatoulas; Konstantinos N. Genikomsakis; Christos S. Ioakimidis. 2020. "Spatio-Temporal Trends of E-Bike Sharing System Deployment: A Review in Europe, North America and Asia." Sustainability 12, no. 11: 4611.

Journal article
Published: 18 December 2019 in Applied Energy
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This paper presents an integrated tool to mitigate power quality issues in a microgrid through coordinating the operating schedule of its generating resources and loads. Such a microgrid includes renewable and conventional distributed energy resources, electric vehicles, energy storage, linear and nonlinear loads, while it serves as an example small-to-medium scale residential and commercial buildings. The proposed tool operates on a sequential, two-stage basis: at the first stage the energy management system (EMS) ensures that the microgrid’s generation resources and loads are dispatched at the minimum total system cost. In addition, it assesses the potential provision of flexibility services towards the system operator, relying on financially incentivized power signal requests. At the second stage, the power quality (PQ) framework evaluates whether the proposed optimal solution complies or not with several PQ standards applicable to the distribution level. The unique characteristic of the proposed tool is the self-triggered interaction between the EMS and the PQ framework, which identifies potential PQ violations, and restores the PQ indices to acceptable levels through an iterative process. Case studies have been performed with realistic model parameters to verify the performance of the proposed integrated tool. The obtained results demonstrate the effectiveness of the algorithm in managing voltage deviations, voltage unbalance, as well as harmonic distortions with a small additional cost for the total system.

ACS Style

Dimitrios Thomas; Gaspard D’Hoop; Olivier Deblecker; Konstantinos Genikomsakis; Christos Ioakimidis. An integrated tool for optimal energy scheduling and power quality improvement of a microgrid under multiple demand response schemes. Applied Energy 2019, 260, 114314 .

AMA Style

Dimitrios Thomas, Gaspard D’Hoop, Olivier Deblecker, Konstantinos Genikomsakis, Christos Ioakimidis. An integrated tool for optimal energy scheduling and power quality improvement of a microgrid under multiple demand response schemes. Applied Energy. 2019; 260 ():114314.

Chicago/Turabian Style

Dimitrios Thomas; Gaspard D’Hoop; Olivier Deblecker; Konstantinos Genikomsakis; Christos Ioakimidis. 2019. "An integrated tool for optimal energy scheduling and power quality improvement of a microgrid under multiple demand response schemes." Applied Energy 260, no. : 114314.

Journal article
Published: 01 May 2019 in Sustainability
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This paper presents a life cycle assessment (LCA) study that examines a number of scenarios that complement the primary use phase of electric vehicle (EV) batteries with a secondary application in smart buildings in Spain, as a means of extending their useful life under less demanding conditions, when they no longer meet the requirements for automotive purposes. Specifically, it considers a lithium iron phosphate (LFP) battery to analyze four second life application scenarios by combining the following cases: (i) either reuse of the EV battery or manufacturing of a new battery as energy storage unit in the building; and (ii) either use of the Spanish electricity mix or energy supply by solar photovoltaic (PV) panels. Based on the Eco-indicator 99 and IPCC 2007 GWP 20a methods, the evaluation of the scenario results shows that there is significant environmental benefit from reusing the existing EV battery in the secondary application instead of manufacturing a new battery to be used for the same purpose and time frame. Moreover, the findings of this work exemplify the dependence of the results on the energy source in the smart building application, and thus highlight the importance of PVs on the reduction of the environmental impact.

ACS Style

Christos Ioakimidis; Alberto Murillo-Marrodán; Ali Bagheri; Dimitrios Thomas; Konstantinos Genikomsakis. Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios. Sustainability 2019, 11, 2527 .

AMA Style

Christos Ioakimidis, Alberto Murillo-Marrodán, Ali Bagheri, Dimitrios Thomas, Konstantinos Genikomsakis. Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios. Sustainability. 2019; 11 (9):2527.

Chicago/Turabian Style

Christos Ioakimidis; Alberto Murillo-Marrodán; Ali Bagheri; Dimitrios Thomas; Konstantinos Genikomsakis. 2019. "Life Cycle Assessment of a Lithium Iron Phosphate (LFP) Electric Vehicle Battery in Second Life Application Scenarios." Sustainability 11, no. 9: 2527.

Journal article
Published: 27 September 2018 in Sustainability
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This paper considers the case of São Miguel in the Azores archipelago as a typical example of an isolated island with high renewable energy potential, but low baseload levels, lack of energy storage facilities, and dependence on fossil fuels that incurs high import costs. Using the Integrated MARKAL-EFOM System (TIMES), a number of scenarios are examined in order to analyze and assess the potential benefits from the implementation of a seawater pumped-storage (SPS) system, in the absence or presence of electric drive vehicles (EDVs) under a grid-to-vehicle (G2V) approach. The results obtained show that the proposed solution increases the penetration of renewable energy in the system, thus reducing the dependence on fossil fuel imports and allowing, at the same time, for the deployment of EDVs as a promising environmentally friendly alternative to conventional vehicles with internal combustion engines.

ACS Style

Christos S. Ioakimidis; Konstantinos N. Genikomsakis. Integration of Seawater Pumped-Storage in the Energy System of the Island of São Miguel (Azores). Sustainability 2018, 10, 3438 .

AMA Style

Christos S. Ioakimidis, Konstantinos N. Genikomsakis. Integration of Seawater Pumped-Storage in the Energy System of the Island of São Miguel (Azores). Sustainability. 2018; 10 (10):3438.

Chicago/Turabian Style

Christos S. Ioakimidis; Konstantinos N. Genikomsakis. 2018. "Integration of Seawater Pumped-Storage in the Energy System of the Island of São Miguel (Azores)." Sustainability 10, no. 10: 3438.

Journal article
Published: 05 September 2018 in Transportation Research Part E: Logistics and Transportation Review
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The Dial-a-Ride Problem (DARP) consists of designing vehicle routes and schedules for customers with special needs and/or disabilities. The DARP with Electric Vehicles and battery swapping stations (DARP-EV) concerns scheduling a fleet of EVs to serve a set of pre-specified transport requests during a certain planning horizon. In addition, EVs can be recharged by swapping their batteries with charged ones from any battery-swap stations. We propose three enhanced Evolutionary Variable Neighborhood Search (EVO-VNS) algorithms to solve the DARP-EV. Extensive computational experiments highlight the relevance of the problem and confirm the efficiency of the proposed EVO-VNS algorithms in producing high quality solutions.

ACS Style

Mohamed Amine Masmoudi; Manar Hosny; Emrah Demir; Konstantinos N. Genikomsakis; Naoufel Cheikhrouhou. The dial-a-ride problem with electric vehicles and battery swapping stations. Transportation Research Part E: Logistics and Transportation Review 2018, 118, 392 -420.

AMA Style

Mohamed Amine Masmoudi, Manar Hosny, Emrah Demir, Konstantinos N. Genikomsakis, Naoufel Cheikhrouhou. The dial-a-ride problem with electric vehicles and battery swapping stations. Transportation Research Part E: Logistics and Transportation Review. 2018; 118 ():392-420.

Chicago/Turabian Style

Mohamed Amine Masmoudi; Manar Hosny; Emrah Demir; Konstantinos N. Genikomsakis; Naoufel Cheikhrouhou. 2018. "The dial-a-ride problem with electric vehicles and battery swapping stations." Transportation Research Part E: Logistics and Transportation Review 118, no. : 392-420.

Journal article
Published: 21 July 2018 in Sustainable Cities and Society
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Nowadays combining electro-mobility with carsharing services that shift private mobility from ownership to service use is viewed as the most promising line of business in sustainable transportation for the next years. In this direction, the present paper focuses on the development of an electric vehicle sharing (EVS) service that integrates various options in the vehicle fleet, namely 2-seat and 4-/5-seat electric cars, as well as electric bikes and electric scooters/motorcycles. Using the members of an academic community as the target users, it examines the potential demand and costs for the development of the business case, starting from the quantification of the user base to the analysis of initial investment cost. To this end, this work employs a population study and a stated preference survey to capture the mobility needs and identify the user profile characteristics and preferences, providing thus useful insight on the implementation of the envisaged system. Based on well-defined criteria, it presents the selected locations of the vehicle pick-up/drop-off points and the composition of the electric vehicle fleet. It further proposes a design of the central charging station as the coordinative center of the service and provides a detailed analysis of the infrastructure and fleet purchase costs.

ACS Style

Nikolaos-Fivos Galatoulas; Konstantinos N. Genikomsakis; Christos S. Ioakimidis. Analysis of potential demand and costs for the business development of an electric vehicle sharing service. Sustainable Cities and Society 2018, 42, 148 -161.

AMA Style

Nikolaos-Fivos Galatoulas, Konstantinos N. Genikomsakis, Christos S. Ioakimidis. Analysis of potential demand and costs for the business development of an electric vehicle sharing service. Sustainable Cities and Society. 2018; 42 ():148-161.

Chicago/Turabian Style

Nikolaos-Fivos Galatoulas; Konstantinos N. Genikomsakis; Christos S. Ioakimidis. 2018. "Analysis of potential demand and costs for the business development of an electric vehicle sharing service." Sustainable Cities and Society 42, no. : 148-161.

Journal article
Published: 01 April 2018 in Sensors
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Recent developments in the field of low-cost sensors enable the design and implementation of compact, inexpensive and portable sensing units for air pollution monitoring with fine-detailed spatial and temporal resolution, in order to support applications of wider interest in the area of intelligent transportation systems (ITS). In this context, the present work advances the concept of developing a low-cost portable air pollution monitoring system (APMS) for measuring the concentrations of particulate matter (PM), in particular fine particles with a diameter of 2.5 μm or less (PM2.5). Specifically, this paper presents the on-field testing of the proposed low-cost APMS implementation using roadside measurements from a mobile laboratory equipped with a calibrated instrument as the basis of comparison and showcases its accuracy on characterizing the PM2.5 concentrations on 1 min resolution in an on-road trial. Moreover, it demonstrates the intended application of collecting fine-grained spatio-temporal PM2.5 profiles by mounting the developed APMS on an electric bike as a case study in the city of Mons, Belgium.

ACS Style

Konstantinos N. Genikomsakis; Nikolaos-Fivos Galatoulas; Panagiotis I. Dallas; Luis Miguel Candanedo Ibarra; Dimitris Margaritis; Christos S. Ioakimidis. Development and On-Field Testing of Low-Cost Portable System for Monitoring PM2.5 Concentrations. Sensors 2018, 18, 1056 .

AMA Style

Konstantinos N. Genikomsakis, Nikolaos-Fivos Galatoulas, Panagiotis I. Dallas, Luis Miguel Candanedo Ibarra, Dimitris Margaritis, Christos S. Ioakimidis. Development and On-Field Testing of Low-Cost Portable System for Monitoring PM2.5 Concentrations. Sensors. 2018; 18 (4):1056.

Chicago/Turabian Style

Konstantinos N. Genikomsakis; Nikolaos-Fivos Galatoulas; Panagiotis I. Dallas; Luis Miguel Candanedo Ibarra; Dimitris Margaritis; Christos S. Ioakimidis. 2018. "Development and On-Field Testing of Low-Cost Portable System for Monitoring PM2.5 Concentrations." Sensors 18, no. 4: 1056.

Journal article
Published: 01 April 2018 in Energy
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ACS Style

Christos S. Ioakimidis; Dimitrios Thomas; Pawel Rycerski; Konstantinos N. Genikomsakis. Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot. Energy 2018, 148, 148 -158.

AMA Style

Christos S. Ioakimidis, Dimitrios Thomas, Pawel Rycerski, Konstantinos N. Genikomsakis. Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot. Energy. 2018; 148 ():148-158.

Chicago/Turabian Style

Christos S. Ioakimidis; Dimitrios Thomas; Pawel Rycerski; Konstantinos N. Genikomsakis. 2018. "Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot." Energy 148, no. : 148-158.

Journal article
Published: 01 January 2018 in Thermal Science
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The present work examines the supply of heating and electricity to the Spanish village of Uruena, using biomass and other local renewable sources as a result of the growing interest worldwide towards the development of sustainable and energy independent small communities. Specifically, this case study considers the design of a district heating system consisting of a solar heating plant, a biomass plant using straw as a sustainable fuel for the base load and an oil boiler for the peak load, coupled with a hot water tank as a thermal energy storage option. Two alternative scenarios are analyzed for electricity generation purposes, namely a system consisting of three small wind turbines and a system with a single large wind turbine. The results show that the cost of large-scale electricity storage depends on the application and often involves significant capital investments.

ACS Style

Christos S. Ioakimidis; Sesil Koutra; Ali Bagheri; Konstantinos Genikomsakis. Solar thermal and wind energy applications: Case study of a small Spanish village. Thermal Science 2018, 22, 2163 -2176.

AMA Style

Christos S. Ioakimidis, Sesil Koutra, Ali Bagheri, Konstantinos Genikomsakis. Solar thermal and wind energy applications: Case study of a small Spanish village. Thermal Science. 2018; 22 (5):2163-2176.

Chicago/Turabian Style

Christos S. Ioakimidis; Sesil Koutra; Ali Bagheri; Konstantinos Genikomsakis. 2018. "Solar thermal and wind energy applications: Case study of a small Spanish village." Thermal Science 22, no. 5: 2163-2176.

Journal article
Published: 27 November 2017 in IEEE Transactions on Intelligent Transportation Systems
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Carsharing is a mode of transportation that provides access to a set of vehicles in the form of organized short-term car rental, serving as a substitute for private car ownership with a number of transportation, environmental, and social benefits. Combining the mobility concept of carsharing with electric vehicles (EVs), referred to as e-carsharing, can contribute not only to more efficient use of the shared vehicles, but also to more sustainable urban mobility in smart cities. In this context, this paper advances the concept of university-based e-carsharing, to serve the mobility needs of an academic community in Bilbao, Spain, focusing on the technical design aspects to cover the energy requirements of the EV fleet of the proposed system through the installation of fast charging posts based on a battery-to-battery approach. In this regard, a MATLAB/Simulink model is implemented to simulate the fast charging infrastructure using the real-world data collected from the university parking lot in order to represent the potential utilization of the EVs. The simulation results confirm the effectiveness of the proposed system design, ensuring that the energy demand of the EVs is successfully covered and concurrently the charging station batteries operate out of the low charge zone.

ACS Style

Konstantinos N. Genikomsakis; Ignacio Angulo Gutierrez; Dimitrios Thomas; Christos S. Ioakimidis. Simulation and Design of Fast Charging Infrastructure for a University-Based e-Carsharing System. IEEE Transactions on Intelligent Transportation Systems 2017, 19, 2923 -2932.

AMA Style

Konstantinos N. Genikomsakis, Ignacio Angulo Gutierrez, Dimitrios Thomas, Christos S. Ioakimidis. Simulation and Design of Fast Charging Infrastructure for a University-Based e-Carsharing System. IEEE Transactions on Intelligent Transportation Systems. 2017; 19 (9):2923-2932.

Chicago/Turabian Style

Konstantinos N. Genikomsakis; Ignacio Angulo Gutierrez; Dimitrios Thomas; Christos S. Ioakimidis. 2017. "Simulation and Design of Fast Charging Infrastructure for a University-Based e-Carsharing System." IEEE Transactions on Intelligent Transportation Systems 19, no. 9: 2923-2932.

Journal article
Published: 06 November 2017 in Applied Sciences
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The inherently intermittent and highly variable nature of wind necessitates the use of wind power forecasting tools in order to facilitate the integration of wind turbines in microgrids, among others. In this direction, the present paper describes the development of a short-term wind power forecasting model based on artificial neural network (ANN) clustering, which uses statistical feature parameters in the input vector, as well as an enhanced version of this approach that adjusts the ANN output with the probability of lower misclassification (PLM) method. Moreover, it employs the Monte Carlo simulation to represent the stochastic variation of wind power production and assess the impact of energy management decisions in a residential wind-battery microgrid using the proposed wind power forecasting models. The results indicate that there are significant benefits for the microgrid when compared to the naïve approach that is used for benchmarking purposes, while the PLM adjustment method provides further improvements in terms of forecasting accuracy.

ACS Style

Konstantinos N. Genikomsakis; Sergio Lopez; Panagiotis I. Dallas; Christos S. Ioakimidis. Simulation of Wind-Battery Microgrid Based on Short-Term Wind Power Forecasting. Applied Sciences 2017, 7, 1142 .

AMA Style

Konstantinos N. Genikomsakis, Sergio Lopez, Panagiotis I. Dallas, Christos S. Ioakimidis. Simulation of Wind-Battery Microgrid Based on Short-Term Wind Power Forecasting. Applied Sciences. 2017; 7 (11):1142.

Chicago/Turabian Style

Konstantinos N. Genikomsakis; Sergio Lopez; Panagiotis I. Dallas; Christos S. Ioakimidis. 2017. "Simulation of Wind-Battery Microgrid Based on Short-Term Wind Power Forecasting." Applied Sciences 7, no. 11: 1142.

Conference paper
Published: 01 October 2017 in IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
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Evolution to the new “smart” era requires the implementation of smart technology systems through comprehensive and effective energy management concepts. This paper proposes a bi-directional energy management system framework for a smart household including renewable energy sources (RES), an energy storage system (ESS) and an electric vehicle (EV). The developed mixed integer linear programming (MILP) model utilizes two-way energy exchange using net metering technology and incorporates an optimizer which decides the power flow among the distributed energy resources (DER) components of the microgrid. Real smart-metering data for PV generation and real-time household load were classified using a clustering technique in order to formulate probabilistic scenarios. The stochastic approach was compared with a deterministic one. Results confirmed the necessity of the proposed stochastic approach as the total expected daily cost for the system within the stochastic approach was much lower compared to its corresponding deterministic case.

ACS Style

Dimitrios Thomas; Olivier Deblecker; Konstantinos Genikomsakis; Christos S. Ioakimidis. Smart house operation under PV and load demand uncertainty considering EV and storage utilization. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society 2017, 3644 -3649.

AMA Style

Dimitrios Thomas, Olivier Deblecker, Konstantinos Genikomsakis, Christos S. Ioakimidis. Smart house operation under PV and load demand uncertainty considering EV and storage utilization. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 2017; ():3644-3649.

Chicago/Turabian Style

Dimitrios Thomas; Olivier Deblecker; Konstantinos Genikomsakis; Christos S. Ioakimidis. 2017. "Smart house operation under PV and load demand uncertainty considering EV and storage utilization." IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society , no. : 3644-3649.

Conference paper
Published: 01 October 2017 in 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)
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Given the low driving range of electric vehicles (EVs), the estimation of energy consumption plays a critical role in EV routing applications that compute energy efficient or optimal paths. The present work introduces an accurate and computationally efficient model to estimate the energy consumption of an electric scooter (e-scooter) under real-world driving conditions. The proposed model employs a dynamic approach to simulate the efficiency of the e-scooter motor and takes into account its overload capabilities in terms of torque or power requirements for highly demanding parts of a route. The calibration and experimental validation of the model was based on field measurements from test routes with a total distance over 100 km. The results show that the accuracy of the model coupled with its lightweight implementation using MATLAB code render it particularly suitable for route planning applications.

ACS Style

Konstantinos Genikomsakis; Georgios Mitrentsis; Dimitrios Savvidis; Christos S. Ioakimidis. Energy consumption model of electric scooter for routing applications: Experimental validation. 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) 2017, 1 -6.

AMA Style

Konstantinos Genikomsakis, Georgios Mitrentsis, Dimitrios Savvidis, Christos S. Ioakimidis. Energy consumption model of electric scooter for routing applications: Experimental validation. 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). 2017; ():1-6.

Chicago/Turabian Style

Konstantinos Genikomsakis; Georgios Mitrentsis; Dimitrios Savvidis; Christos S. Ioakimidis. 2017. "Energy consumption model of electric scooter for routing applications: Experimental validation." 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) , no. : 1-6.

Journal article
Published: 01 September 2017 in Energy Procedia
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ACS Style

Pawel Rycerski; Luis M. Candanedo Ibarra; Fivos Galatoulas; Konstantinos Genikomsakis; Christos S. Ioakimidis. Field performance analysis of IEEE 802.15.4 XBee for open field and urban environment applications in Smart Districts. Energy Procedia 2017, 122, 673 -678.

AMA Style

Pawel Rycerski, Luis M. Candanedo Ibarra, Fivos Galatoulas, Konstantinos Genikomsakis, Christos S. Ioakimidis. Field performance analysis of IEEE 802.15.4 XBee for open field and urban environment applications in Smart Districts. Energy Procedia. 2017; 122 ():673-678.

Chicago/Turabian Style

Pawel Rycerski; Luis M. Candanedo Ibarra; Fivos Galatoulas; Konstantinos Genikomsakis; Christos S. Ioakimidis. 2017. "Field performance analysis of IEEE 802.15.4 XBee for open field and urban environment applications in Smart Districts." Energy Procedia 122, no. : 673-678.

Journal article
Published: 21 April 2017 in Advances in Building Energy Research
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ACS Style

Christos S. Ioakimidis; Konstantinos N. Genikomsakis. Introduction of plug-in hybrid electric vehicles in an isolated island system. Advances in Building Energy Research 2017, 12, 66 -83.

AMA Style

Christos S. Ioakimidis, Konstantinos N. Genikomsakis. Introduction of plug-in hybrid electric vehicles in an isolated island system. Advances in Building Energy Research. 2017; 12 (1):66-83.

Chicago/Turabian Style

Christos S. Ioakimidis; Konstantinos N. Genikomsakis. 2017. "Introduction of plug-in hybrid electric vehicles in an isolated island system." Advances in Building Energy Research 12, no. 1: 66-83.

Journal article
Published: 01 January 2017 in Transportation Research Part D: Transport and Environment
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The fact that electric vehicles (EVs) are characterized by relatively short driving range not only signifies the importance of routing applications to compute energy efficient or optimal paths, but also underlines the necessity for realistic simulation models to estimate the energy consumption of EVs. To this end, the present paper introduces an accurate yet computationally efficient energy consumption model for EVs, based on generic high-level specifications and technical characteristics. The proposed model employs a dynamic approach to simulate the energy recuperation capability of the EV and takes into account motor overload conditions to represent the vehicle performance over highly demanding route sections. To validate the simulation model developed in this work, its output over nine typical driving cycles is compared to that of the Future Automotive Systems Technology Simulator (FASTSim), which is a simulation tool tested on the basis of real-world data from existing vehicles. The validation results show that the mean absolute error (MAE) of cumulative energy consumption is less than 45 W h on average, while the computation time to perform each driving cycle is of the order of tens of milliseconds, indicating that the developed model strikes a reasonable balance between efficacy of representation and computational efficiency. Comprehensive simulation results are presented in order to exemplify the key features of the model and analyze its output under specific highly aggressive driving cycles for road gradients ranging from −6% to 6%, in support of its usability as a practical solution for estimating the energy consumption in EV routing applications.

ACS Style

Konstantinos N. Genikomsakis; Georgios Mitrentsis. A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications. Transportation Research Part D: Transport and Environment 2017, 50, 98 -118.

AMA Style

Konstantinos N. Genikomsakis, Georgios Mitrentsis. A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications. Transportation Research Part D: Transport and Environment. 2017; 50 ():98-118.

Chicago/Turabian Style

Konstantinos N. Genikomsakis; Georgios Mitrentsis. 2017. "A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications." Transportation Research Part D: Transport and Environment 50, no. : 98-118.

Journal article
Published: 30 December 2016 in World Electric Vehicle Journal
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This work intents to describe a new approach that would be able to combine the positive effects from the use of an E-Bike sharing system in a medium-large population urban city of Belgium demonstrated initially in case of the local University Campuses along with the use of the E-Bikes as environmental mobile sensing units.

ACS Style

Christos S. Ioakimidis; Sesil Koutra; Konstantinos N. Genikomsakis; Pawel Rycerski. A University E-Bike Sharing System used as a Real-Time Monitoring emissions tool under a smart city concept. World Electric Vehicle Journal 2016, 8, 963 -973.

AMA Style

Christos S. Ioakimidis, Sesil Koutra, Konstantinos N. Genikomsakis, Pawel Rycerski. A University E-Bike Sharing System used as a Real-Time Monitoring emissions tool under a smart city concept. World Electric Vehicle Journal. 2016; 8 (4):963-973.

Chicago/Turabian Style

Christos S. Ioakimidis; Sesil Koutra; Konstantinos N. Genikomsakis; Pawel Rycerski. 2016. "A University E-Bike Sharing System used as a Real-Time Monitoring emissions tool under a smart city concept." World Electric Vehicle Journal 8, no. 4: 963-973.

Conference paper
Published: 26 December 2016 in 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)
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Carpooling is a mobility concept that has the potential to effectively reduce the single occupancy trips with passenger cars, and thus energy consumption as well as traffic congestion, while coupled with electric vehicles (EVs) and intelligent transportation systems (ITS) can contribute to the smarter and more sustainable use of transportation networks as integrated part of smart cities. However, in practice, the success of carpooling systems has been limited by psychological barriers related to the level of trust for sharing a ride with strangers, and the necessity for convergence of schedules and trips for ride-matching. To this end, the present work advances the concept of a university-based carpooling system with EVs (e-carpooling), as a means of restricting the access to a closed community with a critical mass of users having the same origin/destination. In particular, this paper reports on the results of a preliminary survey conducted at University of Mons (UMONS), Belgium, in order to explore the characteristics of this user community with respect to the concepts of carpooling and electro-mobility. The results of the survey not only reveal the user preferences for the adoption of the proposed system, but also provide some useful insight for the implementation of the e-carpooling concept in the city of Mons.

ACS Style

Christos S. Ioakimidis; Konstantinos Genikomsakis; Pawel Rycerski; Sesil Koutra. User characteristics of an e-carpooling system at UMONS as part of a smart district concept. 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) 2016, 2125 -2130.

AMA Style

Christos S. Ioakimidis, Konstantinos Genikomsakis, Pawel Rycerski, Sesil Koutra. User characteristics of an e-carpooling system at UMONS as part of a smart district concept. 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). 2016; ():2125-2130.

Chicago/Turabian Style

Christos S. Ioakimidis; Konstantinos Genikomsakis; Pawel Rycerski; Sesil Koutra. 2016. "User characteristics of an e-carpooling system at UMONS as part of a smart district concept." 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) , no. : 2125-2130.

Book chapter
Published: 28 July 2016 in Advances in Ergonomics in Design
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ACS Style

Ander Pijoan; Iraia Oribe-Garcia; Oihane Kamara-Esteban; Konstantinos N. Genikomsakis; Cruz E. Borges; Ainhoa Alonso-Vicario; Cruz Enrique Borges Hernández; Grzegorz Sierpiński. Regression Based Emission Models for Vehicle Contribution to Climate Change. Advances in Ergonomics in Design 2016, 505, 47 -63.

AMA Style

Ander Pijoan, Iraia Oribe-Garcia, Oihane Kamara-Esteban, Konstantinos N. Genikomsakis, Cruz E. Borges, Ainhoa Alonso-Vicario, Cruz Enrique Borges Hernández, Grzegorz Sierpiński. Regression Based Emission Models for Vehicle Contribution to Climate Change. Advances in Ergonomics in Design. 2016; 505 ():47-63.

Chicago/Turabian Style

Ander Pijoan; Iraia Oribe-Garcia; Oihane Kamara-Esteban; Konstantinos N. Genikomsakis; Cruz E. Borges; Ainhoa Alonso-Vicario; Cruz Enrique Borges Hernández; Grzegorz Sierpiński. 2016. "Regression Based Emission Models for Vehicle Contribution to Climate Change." Advances in Ergonomics in Design 505, no. : 47-63.