Sizing and energy management for Photovoltaic Pumping

En las últimas décadas, la energía fotovoltaica se ha convertido en una fuente eficaz de energía para la producción de la electricidad, que se utilizará en sitios aislados o será inyecta en la red. En zonas aisladas, las instalaciones fotovoltaicas se han utilizado para el bombeo de agua para la agricultura o para fines humanos, debido a su facilidad de instalar y su bajo coste de mantenimiento después de la instalación. Sin embargo, la variabilidad inherente exige elegir cuidadosamente el tamaño de la instalación y proporcionar un algoritmo de gestión de la energía. Por lo tanto, esta tesis se centra en el cálculo del tamaño y la gestión energética de una instalación fotovoltaica autónoma destinada al bombeo de agua para irrigación en un lugar aislado. Normalmente, este tipo de instalaciones se utiliza ampliamente en las regiones áridas y semi-áridas como el Magreb y el Sur de Europa, donde existe una importante disponibilidad de radiación solar. Se requiere el funcionamiento correcto de estas plantas para satisfacer la demanda de agua, optimizar el uso de la energía fotovoltaica y para extender el tiempo de vida de los componentes. Estos objetivos pueden asegurarse por un buen dimensionamiento de los componentes y una gestión óptima de la energía, que representan las dos partes principales de la tesis. De hecho, la primera parte de esta tesis trata del dimensionamiento de los componentes de la instalación de riego fotovoltaico, es decir, los paneles fotovoltaicos y el banco de baterías. Por lo tanto, un algoritmo para el dimensionamiento óptimo de los componentes de la instalación se ha establecido, con base en las necesidades de agua de los cultivos, las características climáticas del sitio y las restricciones de los componentes. Para esto, fue necesario seleccionar algunos modelos de los componentes de la instalación, que han sido validados experimentalmente. Además, se han estudiado algunas técnicas relacionadas con la extracción máxima de energía fotovoltaica. Entonces, el algoritmo de dimensionamiento ha sido validado con datos medidos de la zona objetivo (Medjez El Beb, al norte de Túnez).Departamento de Ingeniería de Sistemas y Proceso

Sensitivity analysis for photovoltaic water pumping systems: Energetic and economic studies

In agricultural remote areas where electrical energy is required to supply water pumping plants, photovoltaic modules are considered a good option to generate electricity. The reliability of autonomous Photovoltaic water pumping plants depends essentially on the system components size, which should meet the criteria related to the plant autonomy and the water volume required for irrigation. In this context, this research paper proposes an approach to size the elements of an autonomous photovoltaic system equipped with an energy storage device (a battery bank), and which is used to supply a waterpumping plant with electricity. The proposed approach determines the optimal surface of the photovoltaic modules, the optimal capacity of the battery bank and the volume of the water storage tank. The optimization approach takes into account the monthly average solar radiation, the fulfillment of the water needed for the crops’ irrigation and the number of the days of autonomy. Measured climatic data of 10 ha situated in Northern Tunisia and planted with tomato are used in the optimization process, which is conducted during the tomato vegetative cycle (from March to July). The optimal results achieved for this farm are 101.5 m2 of photovoltaic modules’ surface, 1680 A h/12 V of the battery bank and 1800 m3 of the volume of the water storage tank. Then, to verify the reliability of the proposed optimization approach, the results of the proposed sizing algorithm are compared with those of a commercial optimization tool named HOMER, which shows better results using the proposed approach. Finally, the economic reliability of the obtained size is studied and compared with systems that include a diesel generator, and a diesel generator- photovoltaic panels, respectively, using climatic and economic parameters in three countries: Tunisia, Spain and Jordan. The economic analysis for these water pumping systems showed that photovoltaic- batteries/Pump system is the optimum solution in the three countries. However, the initial cost of the system can be recuperated faster in Spain than in Tunisia and Jordan due to high prices of the diesel these two countries.Ministerio de Economía, Industria y Competitividad (project DPI2014-54530-R

Predictive control for hydrogen production by electrolysis in an offshore platform using renewable energies

An Energy Management System (EMS), based on Model Predictive Control (MPC) ideas, is proposed here to balance the consumption of power by a set of electrolysis units in an offshore platform. In order to produce renewable hydrogen, the power is locally generated by wind turbines and wave energy converters and fully used by the electrolyzers. The energy generated at the platform by wind and wave is balanced by regulating the operating point of each electrolysis unit and its connections or disconnections, using an MPC based on a Mixed-Integer-Quadratic-Programming algorithm. This Predictive Control algorithm makes it possible to take into account predictions of available power and power consumption, to improve the balance and reduce the number of connections and disconnections of the devices. Two case studies are carried out on different installations composed of wave and wind energies feeding a set of alkaline electrolyzers. Validation using measured data at the target location of the platforms shows the adequate operation of the proposed EMS

Specifications of photovoltaic pumping systems in agriculture : sizing, fuzzy energy management and economic sensitivity analysis /

Specifications of Photovoltaic Pumping Systems in Agriculture: Sizing, Fuzzy Energy Management and Economic Sensitivity Analysis is the first book of its kind to discuss the physical installation and sizing of PV pumping systems, also providing a successful energy management operation and economic sensitivity analysis. In order to balance production with consumption, and to improve the lifetime of batteries, Imene Yahyaoui offers a complete study through sensitive analysis of system components and sizing algorithms, providing guidance for efficient energy conversion and management for off-grid systems. From this single source, readers will be equipped with all the necessary data they need to understand, plan, and implement cost reduced systems.Print version record.Specifications of Photovoltaic Pumping Systems in Agriculture: Sizing, Fuzzy Energy Management and Economic Sensitivity Analysis is the first book of its kind to discuss the physical installation and sizing of PV pumping systems, also providing a successful energy management operation and economic sensitivity analysis. In order to balance production with consumption, and to improve the lifetime of batteries, Imene Yahyaoui offers a complete study through sensitive analysis of system components and sizing algorithms, providing guidance for efficient energy conversion and management for off-grid systems. From this single source, readers will be equipped with all the necessary data they need to understand, plan, and implement cost reduced systems.Includes bibliographical references and index.Machine generated contents note: 1. Renewable Energies and Irrigation -- 1.1. Introduction -- 1.2. Renewable Energies -- 1.3. Renewable Energies for Irrigation -- 1.4. Tomatoes Irrigation -- 1.5. Conclusions -- References -- 2. Modeling of the Photovoltaic Irrigation Plant Components -- 2.1. Introduction -- 2.2. Target System -- 2.3. System Modeling and Validation -- 2.4. Conclusions -- References -- 3. Sizing Optimization of the Photovoltaic Irrigation Plant Components -- 3.1. Introduction -- 3.2.A Review on Sizing Algorithms in the Literature -- 3.3. Sizing Algorithm Proposal -- 3.4. Application to a Case Study -- 3.5. Conclusions -- References -- 4. Optimum Energy Management of the Photovoltaic Irrigation Installation -- 4.1. Introduction -- 4.2. Review of Renewable Energy Management in Irrigation -- 4.3. Problem Formulation -- 4.4. Proposed EMA -- 4.5. Application to a Case Study -- 4.6. Experimental Validation -- 4.7. Conclusions -- ReferencesNote continued: 5. Viability of DG, DG/PV and PV/Batteries Plants for Water Pumping: Sensitivity Analysis According to Geographical and Economic Parameters Variations -- 5.1. Introduction -- 5.2. Water Pumping Systems Equipped With DG -- 5.3. Economic Viability of PV/Batteries and Diesel Plants -- 5.4. Sensitivity Analysis of the Cost of Water Pumping Systems to the Geographic Parameters -- 5.5. Conclusion -- References -- 6. General Conclusion.Elsevie

Energetic, economic and environmental viability of off-grid PV-BESS for charging electric vehicles: Case study of Spain

Nowadays, the optimum technical design of Photovoltaic and Battery Energy Storage System (PV-BESS) is crucial for ensuring their economic feasibility, which implies the minimum cost sizing of the system components. In fact, a good design of the off-grid PV-BESS system allows the outages to be avoided, ensures the quality and the security of the power supply, from the one hand, and guarantees the economic and environmental benefits, from the other one. In this context, this paper analyses the technical and economic viability of an off-grid PVBESS for Charging Electric Vehicles (EVs). The study is performed using HOMER software and meteorological data of Madrid, Spain, and by applying the load shifting principle. In order to verify the effectiveness and rentability of the studied system, its efficiency has been compared to grid-connected charging points, considering the environmental aspects. The obtained results demonstrate that the off-grid PV-BESS are technically and economically viable and reliable. Moreover, they are profitable while allowing a significant reduction of the air pollution

Energy Management Strategy for an Autonomous Hybrid Power Plant Destined to Supply Controllable Loads.

editorial reviewedThis paper proposes an energy management strategy (EMS) for a hybrid stand-alone plant destined to supply controllable loads. The plant is composed of photovoltaic panels (PV), a wind turbine, a diesel generator, and a battery bank. The set of the power sources supplies controllable electrical loads. The proposed EMS aims to ensure the power supply of the loads by providing the required electrical power. Moreover, the EMS ensures the maximum use of the power generated by the renewable sources and therefore minimizes the use of the genset, and it ensures that the batteries bank operates into the prefixed values of state of charge to ensure their safe operation. The EMS provides the switching control of the switches that link the plant components and decides on the loads' operation. The simulation of the system using measured climatic data of Mostoles (Madrid, Spain) shows that the proposed EMS fulfills the designed objectives

Energy Management Strategy for an Autonomous Hybrid Power Plant Destined to Supply Controllable Loads

This paper proposes an energy management strategy (EMS) for a hybrid stand-alone plant destined to supply controllable loads. The plant is composed of photovoltaic panels (PV), a wind turbine, a diesel generator, and a battery bank. The set of the power sources supplies controllable electrical loads. The proposed EMS aims to ensure the power supply of the loads by providing the required electrical power. Moreover, the EMS ensures the maximum use of the power generated by the renewable sources and therefore minimizes the use of the genset, and it ensures that the batteries bank operates into the prefixed values of state of charge to ensure their safe operation. The EMS provides the switching control of the switches that link the plant components and decides on the loads’ operation. The simulation of the system using measured climatic data of Mostoles (Madrid, Spain) shows that the proposed EMS fulfills the designed objectives

IFAC CPES 2015

Producción CientíficaThe design and evaluation of a stand-alone photovoltaic system for well pumping in agricultural application is presented. Given environmental (irradiance and ambient temperature), system (PV and battery technology, array geometry) and load (monthly daily demand) data, the optimal size of main components of PV systems are obtained by a sizing algorithm; specifically the output are: the surface of PV array and the battery pack capacity. The decision is made on the basis of the estimated power generation, the required power for the load, the water needed by the crops and the battery requirements. The proposed design is then evaluated using yearly simulations, on hourly base, performed by a specialized commercial software, named PVSyst, to show that the proposed optimal size ensures also an high reliability evaluated by two indices: number of autonomous days (NAD) and Loss of Load Probability (LOLP)