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Jean-Michel Clairand was born in Quito, Ecuador in 1990. He received the electronic bachelor degree and master in Ecole Nationale Supérieure d'Electronique et Ses Applications (ENSEA), in Cergy, France, in 2012 and 2014 respectively. He obtained the Ph.D. degree in Industrial Engineering in Universitat Politècnica de Valencia, Spain in 2018. He made an international visit at University of Waterloo in 2018. He is assistant professor at Universidad de las Américas - Ecuador since 2018, and visiting researcher in Università degli studi di Bari Aldo Moro in 2019. His area of interests is related to electric vehicles, smart grids, and energy efficiency.
Electric vehicles have attracted increasing interest in recent years owing to their reduced environmental impact. This is particularly so in the case of vehicles for public transportation, such as buses. However, the transition from internal combustion engine buses to electric buses (EBs) is accompanied by new challenges for the power grid, particularly in developed countries. This paper proposes a new methodology to address the transition of urban public transportation from conventional buses to EBs by route prioritization. The scores of each criterion are weighted using a multi-criteria technique. The case study of Cuenca, Ecuador, which is an intermediate Andean city, is considered. The results indicate that the proposed methodology enables the establishment of route prioritization for the transition toward electric mobility. The replacement to EBs of the three best-performing bus lines (50 buses) avoids using 1328 gallons of diesel each day and, thereby, over 13.3 metric tons of CO2 and other polluting gases into the atmosphere. The economic savings reach 83% with respect the diesel consumption. The methodology is suitable for aiding municipalities in identifying adequate bus lines to start this shift. Its application is feasible in any city since it requires as input data: the technical characteristics of electric and combustion buses, operational details of existing routes, and the number of passengers per route. Furthermore, this tool provides a means to calculate the present fuel costs, emission of CO2 for each bus line, and the estimated electricity costs.
Klaus-Peter Wenz; Xavier Serrano-Guerrero; Antonio Barragán-Escandón; L.G. González; Jean-Michel Clairand. Route prioritization of urban public transportation from conventional to electric buses: A new methodology and a study of case in an intermediate city of Ecuador. Renewable and Sustainable Energy Reviews 2021, 148, 111215 .
AMA StyleKlaus-Peter Wenz, Xavier Serrano-Guerrero, Antonio Barragán-Escandón, L.G. González, Jean-Michel Clairand. Route prioritization of urban public transportation from conventional to electric buses: A new methodology and a study of case in an intermediate city of Ecuador. Renewable and Sustainable Energy Reviews. 2021; 148 ():111215.
Chicago/Turabian StyleKlaus-Peter Wenz; Xavier Serrano-Guerrero; Antonio Barragán-Escandón; L.G. González; Jean-Michel Clairand. 2021. "Route prioritization of urban public transportation from conventional to electric buses: A new methodology and a study of case in an intermediate city of Ecuador." Renewable and Sustainable Energy Reviews 148, no. : 111215.
Demand prediction has been playing an increasingly important role for electricity management, and is fundamental to the corresponding decision-making. Due to the high variability of the increasing electrical load, and of the new renewable energy technologies, power systems are facing technical challenges. Thus, short-term forecasting has crucial utility for generating dispatching commands, managing the spot market, and detecting anomalies. The techniques associated with machine learning are those currently preferred by researchers for making predictions. However, there are concerns regarding limiting the uncertainty of the obtained results. In this work, a statistical methodology with a simple implementation is presented for obtaining a prediction interval with a time horizon of seven days (15-min time steps), thereby limiting the uncertainty. The methodology is based on pattern recognition and inferential statistics. The predictions made differ from those from a classical approach which predicts point values by trying to minimize the error. In this study, 96 intervals of absorbed active power are predicted for each day, one for every 15 min, along with a previously defined probability associated with the real values being within each obtained interval. To validate the effectiveness of the predictions, the results are compared with those from techniques with the best recent results, such as artificial neural network (ANN) long short-term memory (LSTM) models. A case study in Ecuador is analyzed, resulting in a prediction interval coverage probability (PICP) of 81.1% and prediction interval normalized average width (PINAW) of 10.13%, with a confidence interval of 80%.
Xavier Serrano-Guerrero; Marco Briceño-León; Jean-Michel Clairand; Guillermo Escrivá-Escrivá. A new interval prediction methodology for short-term electric load forecasting based on pattern recognition. Applied Energy 2021, 297, 117173 .
AMA StyleXavier Serrano-Guerrero, Marco Briceño-León, Jean-Michel Clairand, Guillermo Escrivá-Escrivá. A new interval prediction methodology for short-term electric load forecasting based on pattern recognition. Applied Energy. 2021; 297 ():117173.
Chicago/Turabian StyleXavier Serrano-Guerrero; Marco Briceño-León; Jean-Michel Clairand; Guillermo Escrivá-Escrivá. 2021. "A new interval prediction methodology for short-term electric load forecasting based on pattern recognition." Applied Energy 297, no. : 117173.
Due to the increasing attention of PV generation, and to the uncertainty of the real PV electrical power output, power system are facing planning challenges. Hence, this case report proposes a computer application that determines the optimal tilt and orientation angles of flat surfaces to maximize solar insolation capture based on existing mathematical models. The study uses data from different meteorological variables measured and estimated through a typical year from the most populated Ecuador cities. The computer application considers the global, diffuse, direct, reflected radiation, and the angle of incidence of the sun. This analysis reveals the angle of inclination and orientation where the highest percentage of insolation is obtained in Ecuador’s main cities. The results suggest that, in Ecuador, flat solar capture surfaces can be oriented between 20° and 60° concerning north, and with tilt angles between 12° and 19°. This contrasts with the literature, which recommends an orientation to the equator and an inclination equal to the location’s latitude.
Xavier Serrano-Guerrero; Eduardo Cantos; Juan-Javier Feijoo; Antonio Barragán-Escandón; Jean-Michel Clairand. Optimal Tilt and Orientation Angles in Fixed Flat Surfaces to Maximize the Capture of Solar Insolation: A Case Study in Ecuador. Applied Sciences 2021, 11, 4546 .
AMA StyleXavier Serrano-Guerrero, Eduardo Cantos, Juan-Javier Feijoo, Antonio Barragán-Escandón, Jean-Michel Clairand. Optimal Tilt and Orientation Angles in Fixed Flat Surfaces to Maximize the Capture of Solar Insolation: A Case Study in Ecuador. Applied Sciences. 2021; 11 (10):4546.
Chicago/Turabian StyleXavier Serrano-Guerrero; Eduardo Cantos; Juan-Javier Feijoo; Antonio Barragán-Escandón; Jean-Michel Clairand. 2021. "Optimal Tilt and Orientation Angles in Fixed Flat Surfaces to Maximize the Capture of Solar Insolation: A Case Study in Ecuador." Applied Sciences 11, no. 10: 4546.
Several efforts need to be performed in transportation and energy production to mitigate the current environmental issues that are related to fossil fuel use. The implementation of DC microgrids and the use of electric vehicles seem to be an adequate solution. However, various technical challenges have to be addressed, like grid stability issues. Thus, this case report assesses the impact of an electric vehicle load in a DC microgrid, subject to nonlinear control theory. The EV battery pack is modeled and simulated. Subsequently, it is included as a load in an available model of nonlinear control of DC microgrids. The results demonstrate high stability with this new load and the feasibility of its implementation.
Pierre Samuel; Rachid Eddaaif; Andrés González-Zumba; Jean-Michel Clairand. Assessment of the Impact of Electric Vehicle Batteries in the Non-Linear Control of DC Microgrids. Applied Sciences 2021, 11, 4415 .
AMA StylePierre Samuel, Rachid Eddaaif, Andrés González-Zumba, Jean-Michel Clairand. Assessment of the Impact of Electric Vehicle Batteries in the Non-Linear Control of DC Microgrids. Applied Sciences. 2021; 11 (10):4415.
Chicago/Turabian StylePierre Samuel; Rachid Eddaaif; Andrés González-Zumba; Jean-Michel Clairand. 2021. "Assessment of the Impact of Electric Vehicle Batteries in the Non-Linear Control of DC Microgrids." Applied Sciences 11, no. 10: 4415.
This paper evaluates the energy efficiency in the bakery industry toward competitiveness and sustainability through energy audits that were carried out on six bakeries located in Quito, Ecuador. Firstly, an initial meeting was held. After this, an energy survey was carried out in all areas of the bakeries. The information of the energy consumption of the facilities was collected. This was based on electricity bills, power data, equipment usage time, habits, and monthly consumption. With the energy balances, the critical points were identified, resulting in the baking process and the production activity, as those with the highest energy consumption within each establishment. Subsequently, with the indicator of electrical energy consumed per unit produced, the energy consumption by production processes and the bakery’s total energy consumption were determined. Several improvement proposals were generated for the bakery industry based on the results. Finally, it is concluded that the consumption of electrical energy in the bakery industry in Quito is efficient when compared to other bakeries, since they use less energy per unit of mass processed to produce products.
Marco Briceño-León; Dennys Pazmiño-Quishpe; Jean-Michel Clairand; Guillermo Escrivá-Escrivá. Energy Efficiency Measures in Bakeries toward Competitiveness and Sustainability—Case Studies in Quito, Ecuador. Sustainability 2021, 13, 5209 .
AMA StyleMarco Briceño-León, Dennys Pazmiño-Quishpe, Jean-Michel Clairand, Guillermo Escrivá-Escrivá. Energy Efficiency Measures in Bakeries toward Competitiveness and Sustainability—Case Studies in Quito, Ecuador. Sustainability. 2021; 13 (9):5209.
Chicago/Turabian StyleMarco Briceño-León; Dennys Pazmiño-Quishpe; Jean-Michel Clairand; Guillermo Escrivá-Escrivá. 2021. "Energy Efficiency Measures in Bakeries toward Competitiveness and Sustainability—Case Studies in Quito, Ecuador." Sustainability 13, no. 9: 5209.
Several efforts have been devoted to developing sustainable cities to address global environmental challenges and the growth of urban areas. In particular, transportation has various issues such as air pollution, noise, and traffic, which have to be addressed by collecting significant information of the traffic and road conditions of the cities. Automating the data extraction process and street network construction will allow building more useful models to study traffic behavior. This work presents a network modeling approach to identify interest points (extreme and internal) of the city, through a winner-takes-all edge trimming, and mapping the traffic flow between them. Such points can be considered as entries of an Origin-Destination matrix, where such information can be used to model traffic behavior between interest points. The case study of Quito, Ecuador is considered. Besides, to address environmental issues, this paper encourages the replacement of internal combustion taxis with electric vehicles. From the understanding of the vehicle traffic behavior, a pre-feasibility siting of electric taxi (ET) charging stations was carried out. The results will allow performing the sizing of each charging station considering electric power network constraints. This work aims to ensure a sustainable transportation system based on this crucial information.
Mario Salvador González-Rodríguez; Jean-Michel Clairand; Kevin Soto-Espinosa; Josue Jaramillo-Fuelantala; Guillermo Escriva-Escriva. Urban Traffic Flow Mapping of an Andean Capital: Quito, Ecuador. IEEE Access 2020, 8, 1 -1.
AMA StyleMario Salvador González-Rodríguez, Jean-Michel Clairand, Kevin Soto-Espinosa, Josue Jaramillo-Fuelantala, Guillermo Escriva-Escriva. Urban Traffic Flow Mapping of an Andean Capital: Quito, Ecuador. IEEE Access. 2020; 8 ():1-1.
Chicago/Turabian StyleMario Salvador González-Rodríguez; Jean-Michel Clairand; Kevin Soto-Espinosa; Josue Jaramillo-Fuelantala; Guillermo Escriva-Escriva. 2020. "Urban Traffic Flow Mapping of an Andean Capital: Quito, Ecuador." IEEE Access 8, no. : 1-1.
Microgrids have emerged as a solution to address new challenges in power systems with the integration of distributed energy resources (DER). Inverter-based microgrids (IBMG) need to implement proper control systems to avoid stability and reliability issues. Thus, several researchers have introduced multi-objective control strategies for distributed generation on IBMG. This paper presents a review of the different approaches that have been proposed by several authors of multi-objective control. This work describes the main features of the inverter as a key component of microgrids. Details related to accomplishing efficient generation from a control systems’ view have been observed. This study addresses the potential of multi-objective control to overcome conflicting objectives with balanced results. Finally, this paper shows future trends in control objectives and discussion of the different multi-objective approaches.
Óscar Gonzales-Zurita; Jean-Michel Clairand; Elisa Peñalvo-López; Guillermo Escrivá-Escrivá. Review on Multi-Objective Control Strategies for Distributed Generation on Inverter-Based Microgrids. Energies 2020, 13, 3483 .
AMA StyleÓscar Gonzales-Zurita, Jean-Michel Clairand, Elisa Peñalvo-López, Guillermo Escrivá-Escrivá. Review on Multi-Objective Control Strategies for Distributed Generation on Inverter-Based Microgrids. Energies. 2020; 13 (13):3483.
Chicago/Turabian StyleÓscar Gonzales-Zurita; Jean-Michel Clairand; Elisa Peñalvo-López; Guillermo Escrivá-Escrivá. 2020. "Review on Multi-Objective Control Strategies for Distributed Generation on Inverter-Based Microgrids." Energies 13, no. 13: 3483.
Isolated microgrids, such as islands, rely on fossil fuels for electricity generation and include vehicle fleets, which poses significant environmental challenges. To address this, distributed energy resources based on renewable energy and electric vehicles (EVs) have been deployed in several places. However, they present operational and planning concerns. Hence, the aim of this paper is to propose a two-level microgrid problem. The first problem considers an EV charging strategy that minimizes charging costs and maximizes the renewable energy use. The second level evaluates the impact of this charging strategy on the power generation planning of Santa Cruz Island, Galapagos, Ecuador. This planning model is simulated in HOMER Energy. The results demonstrate the economic and environmental benefits of investing in additional photovoltaic (PV) generation and in the EV charging strategy. Investing in PV and smart charging for EVs could reduce the N P C by 13.58%, but a reduction in the N P C of the EV charging strategy would result in up to 3.12%.
Jean-Michel Clairand; Carlos Álvarez-Bel; Javier Rodríguez-García; Guillermo Escrivá-Escrivá. Impact of Electric Vehicle Charging Strategy on the Long-Term Planning of an Isolated Microgrid. Energies 2020, 13, 3455 .
AMA StyleJean-Michel Clairand, Carlos Álvarez-Bel, Javier Rodríguez-García, Guillermo Escrivá-Escrivá. Impact of Electric Vehicle Charging Strategy on the Long-Term Planning of an Isolated Microgrid. Energies. 2020; 13 (13):3455.
Chicago/Turabian StyleJean-Michel Clairand; Carlos Álvarez-Bel; Javier Rodríguez-García; Guillermo Escrivá-Escrivá. 2020. "Impact of Electric Vehicle Charging Strategy on the Long-Term Planning of an Isolated Microgrid." Energies 13, no. 13: 3455.
Environmental concerns push governments to invest in renewable energy (RE). They are natural sources with a low carbon footprint and do not pollute locally. However, it is technically difficult to deploy high penetration of RE into the utility grid, due to the generation uncertainties and high installation costs, which are some of the most critical issues in RES use in this area. To address this issue, DC microgrids arise as a solution to integrate local distributed generation (DG) and storage, and to mitigate the issues related to AC/DC and DC/AC converters. Thanks to their main advantages for the power grid and energy consumers, microgrids have gained significant interest in recent years. By another side, the electric vehicles (EVs) market is expected to grow in the coming years, which represent a new load that must be properly managed to avoid grid issues. Thus, this paper discusses the operation of DC microgrid considering the introduction of EVs. A nonlinear control is presented, including the modeling of charging of EVs. The simulated DC microgrid includes solar PV, a battery, and a supercapacitor. Significant variations from PV generation were included to highlight the performance of the methodology. The results show that the voltage fluctuations are small, which provides the DC microgrid with the required voltage stability. Moreover, it has been demonstrated that DC microgrids can be integrated in isolated locations that are not connected to the main grid in view of the RESs and EVs.
Abdelkarim Benamar; Pierre Travaillé; Jean-Michel Clairand; Guillermo Escrivá-Escrivá. Non-Linear Control of a DC Microgrid for Electric Vehicle Charging Stations. International Journal on Advanced Science, Engineering and Information Technology 2020, 10, 593 -598.
AMA StyleAbdelkarim Benamar, Pierre Travaillé, Jean-Michel Clairand, Guillermo Escrivá-Escrivá. Non-Linear Control of a DC Microgrid for Electric Vehicle Charging Stations. International Journal on Advanced Science, Engineering and Information Technology. 2020; 10 (2):593-598.
Chicago/Turabian StyleAbdelkarim Benamar; Pierre Travaillé; Jean-Michel Clairand; Guillermo Escrivá-Escrivá. 2020. "Non-Linear Control of a DC Microgrid for Electric Vehicle Charging Stations." International Journal on Advanced Science, Engineering and Information Technology 10, no. 2: 593-598.
The industry sector has a significant responsibility for the depletion of fossil fuels and emission of carbon dioxide. Thus, several initiatives have been implemented by the industry sector to mitigate those issues. One initiative corresponds to the implementation of energy efficiency strategies. In particular, the food industry is heavily dependent on fossil fuels, and the food demand is expected to grow significantly in the coming years. Therefore, developing energy efficiency strategies for this particular industrial sector is crucial. This paper investigates the different opportunities for energy efficiency in the food industry. It first provides a brief overview of the various food industries and related energy consumption. Then, the different options for energy efficiency in the thermal and electric sector are discussed. New trends and opportunities, arising from industry 4.0 and demand response, are also presented.
Jean-Michel Clairand; Marco Briceno-Leon; Guillermo Escriva-Escriva; Antonio Marco Pantaleo. Review of Energy Efficiency Technologies in the Food Industry: Trends, Barriers, and Opportunities. IEEE Access 2020, 8, 48015 -48029.
AMA StyleJean-Michel Clairand, Marco Briceno-Leon, Guillermo Escriva-Escriva, Antonio Marco Pantaleo. Review of Energy Efficiency Technologies in the Food Industry: Trends, Barriers, and Opportunities. IEEE Access. 2020; 8 (99):48015-48029.
Chicago/Turabian StyleJean-Michel Clairand; Marco Briceno-Leon; Guillermo Escriva-Escriva; Antonio Marco Pantaleo. 2020. "Review of Energy Efficiency Technologies in the Food Industry: Trends, Barriers, and Opportunities." IEEE Access 8, no. 99: 48015-48029.
Electricity consumption patterns reveal energy demand behaviors and enable strategY implementation to increase efficiency using monitoring systems. However, incorrect patterns can be obtained when the time-series components of electricity demand are not considered. Hence, this research proposes a new method for handling time-series components that significantly improves the ability to obtain patterns and detect anomalies in electrical consumption profiles. Patterns are found using the proposed method and two widespread methods for handling the time-series components, in order to compare the results. Through this study, the conditions that electricity demand data must meet for making the time-series analysis useful are established. Finally, one year of real electricity consumption is analyzed for two different cases to evaluate the effect of time-series treatment in the detection of anomalies. The proposed method differentiates between periods of high or low energy demand, identifying contextual anomalies. The results indicate that it is possible to reduce time and effort involved in data analysis, and improve the reliability of monitoring systems, without adding complex procedures.
Xavier Serrano-Guerrero; Guillermo Escrivá-Escrivá; Santiago Luna-Romero; And Jean-Michel Clairand. A Time-Series Treatment Method to Obtain Electrical Consumption Patterns for Anomalies Detection Improvement in Electrical Consumption Profiles. Energies 2020, 13, 1046 .
AMA StyleXavier Serrano-Guerrero, Guillermo Escrivá-Escrivá, Santiago Luna-Romero, And Jean-Michel Clairand. A Time-Series Treatment Method to Obtain Electrical Consumption Patterns for Anomalies Detection Improvement in Electrical Consumption Profiles. Energies. 2020; 13 (5):1046.
Chicago/Turabian StyleXavier Serrano-Guerrero; Guillermo Escrivá-Escrivá; Santiago Luna-Romero; And Jean-Michel Clairand. 2020. "A Time-Series Treatment Method to Obtain Electrical Consumption Patterns for Anomalies Detection Improvement in Electrical Consumption Profiles." Energies 13, no. 5: 1046.
Jean-Michel Clairand; JavierRodr韌uez-Garc韆; Carlos羖varez-Bel. Assessment of Technical and Economic Impacts of EV User Behavior on EV Aggregator Smart Charging. Journal of Modern Power Systems and Clean Energy 2020, 8, 356 -366.
AMA StyleJean-Michel Clairand, JavierRodr韌uez-Garc韆, Carlos羖varez-Bel. Assessment of Technical and Economic Impacts of EV User Behavior on EV Aggregator Smart Charging. Journal of Modern Power Systems and Clean Energy. 2020; 8 (2):356-366.
Chicago/Turabian StyleJean-Michel Clairand; JavierRodr韌uez-Garc韆; Carlos羖varez-Bel. 2020. "Assessment of Technical and Economic Impacts of EV User Behavior on EV Aggregator Smart Charging." Journal of Modern Power Systems and Clean Energy 8, no. 2: 356-366.
Growing environmental concerns have contributed to urban transit alternatives, such as Electric Vehicles (EVS). As a result, the market for EVs is growing each year, which are a solution to mitigate these concerns. All authors have read and agreed to the published version of the manuscript. Although EVs present several environmental advantages, a massive introduction of them could generate power systems issues. Several works have proposed strategies to mitigate those issues. Since EVs posses batteries with significant capacity, they could provide services to the power grid, such as ancillary services. Thus, this paper presents a methodology where EVs could participate in Secondary frequency response through an EV aggregator. Moreover, EV user’s preferences are taken into account to facilitate their participation. The case study of Quito, Ecuador is considered. The results of this methodology show that the EV aggregator has a significant potential for providing electricity market regulation services, especially in view of the use of V2G mode.
Jean-Michel Clairand. Participation of Electric Vehicle Aggregators in Ancillary Services Considering Users’ Preferences. Sustainability 2019, 12, 8 .
AMA StyleJean-Michel Clairand. Participation of Electric Vehicle Aggregators in Ancillary Services Considering Users’ Preferences. Sustainability. 2019; 12 (1):8.
Chicago/Turabian StyleJean-Michel Clairand. 2019. "Participation of Electric Vehicle Aggregators in Ancillary Services Considering Users’ Preferences." Sustainability 12, no. 1: 8.
The monitoring of industry processes can optimize the use of resources and improve its efficiency. In dairy farms, several parameters from the processes must be monitored. This paper proposes the design of a monitoring system for a farm that produces dairy products and jams. Several similar studies are analysed. Based on this, and on the farm characteristics, a novel design is developed. The principal benefits of the system are also exposed.
Karen Moposita; Xavier Noboa-Lopez; Jean-Michel Clairand; Marco Briceno-Leon; Guillermo Escriva-Escriva; Antonio Pantaleo. Design Considerations of a Monitoring System of a Farm for Energy Efficiency Purposes. 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) 2019, 1 -6.
AMA StyleKaren Moposita, Xavier Noboa-Lopez, Jean-Michel Clairand, Marco Briceno-Leon, Guillermo Escriva-Escriva, Antonio Pantaleo. Design Considerations of a Monitoring System of a Farm for Energy Efficiency Purposes. 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). 2019; ():1-6.
Chicago/Turabian StyleKaren Moposita; Xavier Noboa-Lopez; Jean-Michel Clairand; Marco Briceno-Leon; Guillermo Escriva-Escriva; Antonio Pantaleo. 2019. "Design Considerations of a Monitoring System of a Farm for Energy Efficiency Purposes." 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) , no. : 1-6.
The electricity sector presents new challenges in the operation and planning of power systems, such as the forecast of power demand. This paper proposes a comprehensive approach for evaluating statistical methods and techniques of electric demand forecast. The proposed approach is based on smoothing methods, simple and multiple regressions, and ARIMA models, applied to two real university buildings from Ecuador and Spain. The results are analyzed by statistical metrics to assess their predictive capacity, and they indicate that the Holt-Winter and ARIMA methods have the best performance to forecast the electricity demand (ED).
Xavier Serrano-Guerrero; Luis-Fernando Siavichay; Jean-Michel Clairand; Guillermo Escrivá-Escrivá. Forecasting Building Electric Consumption Patterns Through Statistical Methods. Advances in Intelligent Systems and Computing 2019, 164 -175.
AMA StyleXavier Serrano-Guerrero, Luis-Fernando Siavichay, Jean-Michel Clairand, Guillermo Escrivá-Escrivá. Forecasting Building Electric Consumption Patterns Through Statistical Methods. Advances in Intelligent Systems and Computing. 2019; ():164-175.
Chicago/Turabian StyleXavier Serrano-Guerrero; Luis-Fernando Siavichay; Jean-Michel Clairand; Guillermo Escrivá-Escrivá. 2019. "Forecasting Building Electric Consumption Patterns Through Statistical Methods." Advances in Intelligent Systems and Computing , no. : 164-175.
The market for electric vehicles (EVs) has grown with each year, and EVs are considered to be a proper solution for the mitigation of urban pollution. So far, not much attention has been devoted to the use of EVs for public transportation, such as taxis and buses. However, a massive introduction of electric taxis (ETs) and electric buses (EBs) could generate issues in the grid. The challenges are different from those of private EVs, as their required load is much higher and the related time constraints must be considered with much more attention. These issues have begun to be studied within the last few years. This paper presents a review of the different approaches that have been proposed by various authors, to mitigate the impact of EBs and ETs on the future smart grid. Furthermore, some projects with regard to the integration of ETs and EBs around the world are presented. Some guidelines for future works are also proposed.
Jean-Michel Clairand; Paulo Guerra-Terán; Xavier Serrano-Guerrero; Mario González-Rodríguez; Guillermo Escrivá-Escrivá. Electric Vehicles for Public Transportation in Power Systems: A Review of Methodologies. Energies 2019, 12, 3114 .
AMA StyleJean-Michel Clairand, Paulo Guerra-Terán, Xavier Serrano-Guerrero, Mario González-Rodríguez, Guillermo Escrivá-Escrivá. Electric Vehicles for Public Transportation in Power Systems: A Review of Methodologies. Energies. 2019; 12 (16):3114.
Chicago/Turabian StyleJean-Michel Clairand; Paulo Guerra-Terán; Xavier Serrano-Guerrero; Mario González-Rodríguez; Guillermo Escrivá-Escrivá. 2019. "Electric Vehicles for Public Transportation in Power Systems: A Review of Methodologies." Energies 12, no. 16: 3114.
Isolated microgrids depend mainly on diesel generation and have polluting transportation. This is being addressed by the introduction of renewable energy resources and electric vehicles (EVs). Hence, this paper presents a novel long-term planning model for the introduction of EVs in isolated microgrids. This work studies the replacement of internal combustion vehicles with electric ones by analyzing their respective investment, maintenance and operation costs. Various case studies are discussed, considering different EV and solar photovoltaic (PV) penetration levels, and varying prices of diesel in the planning horizon. Results demonstrate that investing in EVs could significantly reduce net present costs.
Jean-Michel Clairand; Mariano Arriaga; Mohammad Hasan Ravanji; Guillermo Escriva-Escriva. Long-Term Electric Vehicle Planning in a Microgrid. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2019, 3467 -3472.
AMA StyleJean-Michel Clairand, Mariano Arriaga, Mohammad Hasan Ravanji, Guillermo Escriva-Escriva. Long-Term Electric Vehicle Planning in a Microgrid. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2019; ():3467-3472.
Chicago/Turabian StyleJean-Michel Clairand; Mariano Arriaga; Mohammad Hasan Ravanji; Guillermo Escriva-Escriva. 2019. "Long-Term Electric Vehicle Planning in a Microgrid." 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) , no. : 3467-3472.
Several remote communities have restricted access to electricity, and depend especially from fossil fuels, which are environmentally negative. Currently, this issue is being addressed with the implementation of microgrids with renewable energy. Thus, this paper discusses the renewable energy alternatives for the Amazon region in Ecuador. Two scenarios are evaluated considering different types of generation. A search space is performed, and for each scenario, the optimal configuration in terms of costs is obtained.
Jean-Michel Clairand; Hector Chinchero-Villacis; Xavier Serrano-Guerrero; Andres Gonzalez-Zumba. Microgrids as Electrification Alternatives for the Amazon Region in Ecuador. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2019, 4286 -4291.
AMA StyleJean-Michel Clairand, Hector Chinchero-Villacis, Xavier Serrano-Guerrero, Andres Gonzalez-Zumba. Microgrids as Electrification Alternatives for the Amazon Region in Ecuador. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). 2019; ():4286-4291.
Chicago/Turabian StyleJean-Michel Clairand; Hector Chinchero-Villacis; Xavier Serrano-Guerrero; Andres Gonzalez-Zumba. 2019. "Microgrids as Electrification Alternatives for the Amazon Region in Ecuador." 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) , no. : 4286-4291.
Inhabited islands depend primarily on fossil fuels for electricity generation and they also present frequently a vehicle fleet, which result in a significant environmental problem. To address this, several governments are investing in the integration of Renewable Energy Sources (RESs) and Electric Vehicles (EVs), but the combined integration of them creates challenges to the operation of these isolated grid systems. Thus, the aim of this paper is to propose an Electric Vehicle charging strategy considering high penetration of RES. The methodology proposes taxing CO2 emissions based on high pricing when the electricity is mostly generated by fossil fuels, and low pricing when there is a RES power excess. The Smart charging methodology for EV optimizes the total costs. Nine scenarios with different installed capacity of solar and wind power generation are evaluated and compared to cases of uncoordinated charging. The methodology was simulated in the Galapagos Islands, which is an archipelago of Ecuador, and recognized by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as both aWorld Heritage site and a biosphere reserve. Simulations results demonstrate that the EV aggregator could reduce costs: 7.9% for a case of 5 MW installed capacity (wind and PV each), and 7% for a case of 10 MW installed (wind and PV each). Moreover, the use of excess of RES power for EV charging will considerably reduce CO2 emissions
Jean-Michel Clairand; Javier Rodríguez-García; Carlos Álvarez-Bel. Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation. Energies 2018, 11, 3188 .
AMA StyleJean-Michel Clairand, Javier Rodríguez-García, Carlos Álvarez-Bel. Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation. Energies. 2018; 11 (11):3188.
Chicago/Turabian StyleJean-Michel Clairand; Javier Rodríguez-García; Carlos Álvarez-Bel. 2018. "Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation." Energies 11, no. 11: 3188.
Islands located far away from the mainland and remote communities depend on isolated microgrids based on diesel fuel, which results in significant environmental and cost issues. This is currently being addressed by integrating renewable energy sources (RESs). Thus, this paper discusses the generation planning problem in diesel-based island microgrids with RES, considering the electrification of transportation and cooking to reduce their environmental impact, and applied to the communities of Santa Cruz and Baltra in the Galapagos Islands in Ecuador. A baseline model is developed in HOMER for the existing system with diesel generation and RES, while the demand of electric vehicles and induction stoves is calculated from vehicle driving data and cooking habits in the islands, respectively. The integration of these new loads into the island microgrid is studied to determine its costs and environmental impacts, based on diesel cost sensitivity studies to account for its uncertainty. The results demonstrate the economic and environmental benefits of investing in RES for Galapagos' microgrid, to electrify the local transportation and cooking system.
Jean-Michel Clairand; Mariano Arriaga; Claudio A. Canizares; Carlos Alvarez-Bel. Power Generation Planning of Galapagos’ Microgrid Considering Electric Vehicles and Induction Stoves. IEEE Transactions on Sustainable Energy 2018, 10, 1916 -1926.
AMA StyleJean-Michel Clairand, Mariano Arriaga, Claudio A. Canizares, Carlos Alvarez-Bel. Power Generation Planning of Galapagos’ Microgrid Considering Electric Vehicles and Induction Stoves. IEEE Transactions on Sustainable Energy. 2018; 10 (4):1916-1926.
Chicago/Turabian StyleJean-Michel Clairand; Mariano Arriaga; Claudio A. Canizares; Carlos Alvarez-Bel. 2018. "Power Generation Planning of Galapagos’ Microgrid Considering Electric Vehicles and Induction Stoves." IEEE Transactions on Sustainable Energy 10, no. 4: 1916-1926.