scholarly journals Emplacement of the Photovoltaic Water Pumping System in Remote Areas by a Multi-Criteria Decision-Making Method: A Case Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Fatemehzahra Heydari ◽  
Akbar Maleki ◽  
Ali Jabari Moghadam ◽  
Siavash Haghighat
Keyword(s):  
Decision Making ◽  
Solar Energy ◽  
Power Plants ◽  
Entropy Method ◽  
Solar Irradiation ◽  
Multi Criteria Decision Making ◽  
River Population ◽  
Pumping Station ◽  
Pumping System ◽  
Water Pumping

Utilizing the solar energy from photovoltaic panels integrated into a water pumping system to provide electricity for dispersed villages that have no access to backup systems not only reduces the electricity grid costs and environmental pollutants but also is an innovative approach in areas with sufficient solar irradiation. Therefore, identifying and studying the feasibility of stand-alone solar power plants in various locations is the first step in using this reliable source of energy. For this reason, 93 sites in the provinces of Razavi Khorasan, Northern Khorasan, and Southern Khorasan, Iran, were chosen by the renewable energy organization engineers as regions with high potential for establishing a solar water pumping station. The goals of this research were to prioritize the 93 sites and find the perfect location for the establishment of the aforementioned station. In order to investigate and prioritize these sites, a multi-criteria decision-making method, namely, TOPSIS (technique for order preference by similarity to ideal solution), has been used. Therefore, the geographical locations of the sites and the weather in these provinces have been studied; consequently, 15 important and essential criteria, including slope, solar irradiation, precipitation, wind speed, relative humidity, altitude, distance from substation, distance from grid, obtainable solar energy capacity, distance from river, population, distance from city center, distance from road, average temperature, and number of dams in the vicinity of the site, have been chosen. All the aforementioned criteria have been weighted using the Shannon entropy method, and then the sites have been prioritized using the TOPSIS method. The results indicated that Sarayan, Isk, Esfadan, and Dasht Byaz in Southern Khorasan and then Beydokht 2 in Razavi Khorasan are the top five locations and Shosef in Southern Khorasan is the least favorite location for establishing a solar pumping station. In order to achieve more reliable results, sensitivity analysis was implemented.

Sizing of a standalone photovoltaic water pumping system using hybrid multi-criteria decision making methods

Solar Energy ◽  
2018 ◽  
Vol 159 ◽  
pp. 1003-1015 ◽  
Author(s):  
Dhiaa Halboot Muhsen ◽  
Tamer Khatib ◽  
Tawfeeq Enad Abdulabbas
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Pumping System ◽  
Water Pumping

scholarly journals Artificial intelligence based solar/diesel hybrid water pumping system

2021 ◽  
Author(s):  
◽  
Ranganai Tawanda Moyo
Keyword(s):  
Solar Energy ◽  
Hybrid System ◽  
Energy Flow ◽  
Solar Irradiation ◽  
Water Pump ◽  
Solar Water ◽  
Pumping System ◽  
Water Pumping ◽  
Pv Modules ◽  
Battery Bank

Solar energy powered systems are increasingly being implemented in different areas due to the advances in solar energy technologies. Some of the major areas for solar energy applications include solar water heating, solar electric power generation, and solar water pumping. Solar water pumping has become the most adopted solar energy technology in the last decade. It has been considered as an attractive way to provide water in remote areas. A major advantage of using solar water pumps is that they are naturally matched with solar irradiation since usually water demand is high in summer when solar irradiation has its maximum values. However, solar energy powered systems are weather dependent. In most cases, a solar energy source has to be combined with another energy source to form a hybrid system to overcome the demerits of using solar alone. This thesis provides the detailed design, modelling and analysis of an Artificial Intelligence (AI) based solar/diesel hybrid water pumping system. This research aims to develop an optimization model that uses AI techniques to maximize the solar energy output and manage the energy flow within the solar/diesel hybrid water pumping. Thus, the proposed system is composed of solar photovoltaic modules, battery bank, Variable Speed Diesel Generator (VSDG), Adaptive Neuro-Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) controllers and an Energy Management Controller (EMC). The EMC, which is based on Fuzzy Logic (FL), is responsible for managing the flow of energy throughout the hybrid system to ensure an undisturbed power supply to the water pump. The PV array, battery bank, VSDG are all sized to power a 5Hp DC water pump and the ANFIS based MPPT controllers are proposed for improving the efficiency of PV modules. The modelling of the system components is performed in the MATLAB/Simulink environment. For evaluation of the proposed system, several case scenarios were considered and simulated in the MATLAB/Simulink environment. The simulation results revealed the effectiveness of the proposed ANFIS based MPPT controllers since the controllers were able to extract maximum available power from PV modules for both steady-state and varying weather conditions. The proposed EMC demonstrated the successful management and control of the energy flow within the hybrid system with less dependency on the VSDG. The EMC was also able to regulate the charging and discharging of the battery bank.

Comparison of Private Shopping Sites With User Data From Entropy-Based Moosra Method

2019 ◽  
pp. 103-120
Author(s):  
Günay Kılıç ◽  
Arzu Organ
Keyword(s):  
Decision Making ◽  
Electronic Commerce ◽  
Entropy Method ◽  
Main Topic ◽  
Multi Criteria Decision Making ◽  
Limited Time ◽  
Total Trade ◽  
Online Sales ◽  
User Data ◽  
Alternative Sites

The share of electronic commerce (e-commerce) in total trade is increasing. There are many kinds of services and products within the scope of e-commerce. These products and services are subdivided according to their sales forms and product groups. In this chapter, only the private shopping websites in the online sales group were examined. Private shopping sites are the sites where the members buy certain products with limited stock in limited time. In this chapter, six leading sites are defined as alternatives for the purpose of comparison. When the studies in the literature are examined, it is seen that multi-criteria decision making methods are used in order to sort the special shopping sites by taking into consideration the criteria. Entropy method was used to determine the weights of the criteria under each main topic determined in the study. Moosra method was chosen from multi-criteria decision making methods in order to rank alternative websites. As a result, alternative sites were listed separately and then examined as to whether there was a relationship between these groups.

scholarly journals Multi-Criteria Decision Making (MCDM ) Approach for Selecting Solar Plants Site and Technology: A Review

2019 ◽  
Vol 8 (1) ◽  
pp. 15 ◽  
Author(s):  
Roghayeh Ghasempour ◽  
Mohammad Alhuyi Nazari ◽  
Morteza Ebrahimi ◽  
Mohammad Hossein Ahmadi ◽  
H. Hadiyanto
Keyword(s):  
Decision Making ◽  
Power Plants ◽  
Fossil Fuels ◽  
Solar Power ◽  
Technology Selection ◽  
Multi Criteria Decision Making ◽  
Renewable Energy Development ◽  
Applied Technology ◽  
Network Maintenance ◽  
Solar Power Plants

Renewable energies have many advantages and their importance is rising owing to gravely mounting concerns for environmental issues and lack of fossil fuels in the future. Solar energy, well acknowledged as an inexhaustible source of energy, is developing dramatically for different purposes such as desalination and electricity generation. Appropriate solar power plant is very important factor for power generation due to its cost and other constraints. The applied technology is as important as the solar power plants location.  In this paper, a wide variety multi criteria decision making (MCDM) methods, investigated by various researchers, are presented to obtain effective criteria in selecting solar plants sites and solar plants technologies. There is not any comprehensive research providing all required criteria for decision making for site and technology selection. Based on the reviewed researches, weight of each criterion depends on many factors such as region, economy, accessibility, power network, maintenance costs, operating costs, etc. The important criteria for site selection are represented and investigated thoroughly in this review paper.© 2019. CBIORE-IJRED. All rights reservedArticle History: Received June 17th 2017; Received in revised form March 7th 2018; Accepted June 16th 2018; Available onlineHow to Cite This Article: Ghasempour, R., Nazari, M.A., Ebrahimi, M., Ahmadi, M.H. and Hadiyanto, H. (2019) Multi-Criteria Decision Making (MCDM ) Approach for Selecting Solar Plants Site and Technology: A Review. Int Journal of Renewable Energy Development, 8(1), 15-25.https://doi.org/10.14710/ijred.8.1.15-25

scholarly journals A Novel Procedure for Quick Design of Off-Grid PV Water Pumping Systems for Irrigation

2021 ◽  
Author(s):  
Dardan Klimenta ◽  
Julijana Lekic ◽  
Sanela Arsic ◽  
Dragan Tasic ◽  
Nikola Krstic ◽  
...  
Keyword(s):  
Ambient Temperature ◽  
Sunshine Duration ◽  
Meteorological Data ◽  
Elevation Angle ◽  
Solar Irradiation ◽  
Research Centre ◽  
Pumping System ◽  
Water Pumping ◽  
High Level

It is known that meteorological variables from meteorological online services can be used for the design of photovoltaic (PV) water pumping systems for irrigation. The software LORENTZ COMPASS in such a manner uses as inputs solar irradiation, precipitation, and ambient temperature collected by the NASA Langley Research Centre over a period of more than 20 years. This paper proposes a novel procedure that uses the sunshine duration, precipitation, and ambient temperature as inputs. These inputs were collected by Weather Online UK during a period of 25 years. The effects of different data collection periods and data availabilities on the design of the PV water pumping system are also analysed and discussed. Along with the meteorological data, the proposed procedure uses as inputs datasheets from manufacturers of pumping systems and PV modules. The procedure is based on the Sivkov model that correlates the global horizontal irradiation with the sunshine duration and the elevation angle of the Sun. A case study, i.e., an existing PV water pumping system designed using LORENTZ COMPASS is used as reference for purposes of comparison and validation of the procedure. The results of the comparison showed a high level of accuracy, and a number of interesting conclusions are drawn from them.

scholarly journals Decentralized T-S Fuzzy Control for Solar PV Powered Water Pumping System Driving by Induction Motor

2020 ◽  
Vol 22 (4-5) ◽  
pp. 301-311
Author(s):  
Zeineb Ben Safia ◽  
Moez Allouch ◽  
Mohamed Chaabane
Keyword(s):  
Induction Motor ◽  
Fuzzy Controller ◽  
Boost Converter ◽  
Climatic Conditions ◽  
Solar Irradiation ◽  
Solar Pv ◽  
Pumping System ◽  
Point Tracking ◽  
Water Pumping ◽  
Power Point

This paper presents a decentralized Takagi Sugeno (T-S) control scheme for a PV powered water pumping system, which is composed of a photovoltaic generator (PVG) supplying via a DC-DC boost converter, a DC-AC inverter, an Induction Motor coupled to a centrifugal pump. A T-S fuzzy controller is developed for MPPT (Maximum Power Point Tracking) to control the DC-DC boost converter, under variable solar irradiation and ambient temperature. An observer-based T-S fuzzy controller is dedicated to control the IM to guarantee the field-oriented control performances. From the optimal PV power provided in the MPP conditions, the optimal speed is calculated and delivered to control the IM, so that the proposed PV pumping system operates in optimal conditions and thus, maximizes the quantity of water pumped daily. Finally, simulation results are presented for both transient and steady state operation while taking into account all changes in climatic conditions, in order to validate the efficiency of the developed decentralized controller.

scholarly journals Passivity-Based Control of Water Pumping System Using BLDC Motor Drive Fed by Solar PV Array with Battery Storage System

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8184
Author(s):  
Ihor Shchur ◽  
Marek Lis ◽  
Yurii Biletskyi
Keyword(s):  
Power Supply ◽  
Voltage Regulation ◽  
System Structure ◽  
Solar Irradiation ◽  
Battery Storage ◽  
Energy Management Strategy ◽  
Solar Water ◽  
Pumping System ◽  
Water Pumping ◽  
Passivity Based Control

In remote locations, it is advisable to combine solar water pumping with electric energy storage and power supply for other forms of consumption. In such complex systems, individual subsystems feature their own local control, and the general automatic control of the system in different modes of its operation is carried out in accordance with an energy management strategy (EMS). In this paper, the functions of local and general control of the solar water pumping system with battery storage and external power supply are combined in the system of passivity-based control (PBC). The EMS is constructed in such a way that for all modes, only two PBC systems are developed, which are switched depending on the battery’s state of charge and the current levels of the two main disturbances—solar irradiation and electrical consumption. For each system, two control influence former (CIF) structures were synthesized and their operation was investigated by computer simulation. Despite the simplicity of CIFs’ implementation, due to the introduced interconnection and damping coefficients, such control allows the provision of the required voltage regulation with a static error up to 1%, sufficient quality of transients during disturbances and switching of the system structure, as well as system asymptotic stability.

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