Strategical selection of batteries used for solar energy system and impact of lithium batteries on renewable storage

2020 ◽  
Author(s):  
Shobha Shankar ◽  
C. Lokesh ◽  
M. S. Bopaiah ◽  
Shradha
Keyword(s):  
Solar Energy ◽  
Lithium Batteries ◽  
Energy System ◽  
Selection Of

scholarly journals Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection

2020 ◽  
Vol 12 (10) ◽  
pp. 4278 ◽  
Author(s):  
Pratibha Rani ◽  
Arunodaya Raj Mishra ◽  
Abbas Mardani ◽  
Fausto Cavallaro ◽  
Dalia Štreimikienė ◽  
...  
Keyword(s):  
Solar Energy ◽  
Fuzzy Sets ◽  
Real Life ◽  
Computational Procedure ◽  
Energy System ◽  
Solar Panel ◽  
Photovoltaic System ◽  
Preference Order ◽  
Pythagorean Fuzzy Sets ◽  
Selection Of

The age of industrialization and modernization has increased energy demands globally. Solar energy has been recognized as an inexhaustible source of energy and has been applied for desalination and electricity generation. Among different non-conventional energy resources, Solar Energy (SE) is one of the main contributors to the global energy system. A photovoltaic system (PS) is applied to produce SE using photovoltaic cells. The selection of a solar panel includes many intricate factors involving both subjective and quantifiable parameters; therefore, it can be regarded as a complex Multi-Criteria Decision-Making (MCDM) problem. As the uncertainty commonly occurs in the selection of an ideal solar panel, the theory of Pythagorean fuzzy sets has been proven as one of the flexible and superior tools to deal with the uncertainty and ambiguity that arise in real-life applications. The aim of the study is to present an MCDM framework for solving the Solar Panel Selection (SPS) problem within the Pythagorean fuzzy (PF) environment. For this, first, a new integrated method is proposed based on the Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska Optimizcija I Kaompromisno Resenje (VIKOR) approaches in the Pythagorean fuzzy sets (PFSs) context. In the proposed approach, subjective weights of the evaluation criteria are calculated by the SWARA method, and the preference order of alternatives is decided by the VIKOR method in the PF context. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. The computational procedure of the proposed methodology is established through a case study of the SPS problem under PF environment, which proves the applicability and efficiency of the proposed method. Furthermore, this study performs sensitivity analysis to reveal the stability of the developed framework. This analysis signifies that the solar panel option R4 constantly secures its highest ranking despite how the parameter values vary. In addition, a comparative study is discussed to analyze the validity of the obtained result. The results show that the proposed approach is more efficient and applicable with previously developed methods in the PFS environment.

scholarly journals REFINING THE SOLAR CLIMATE OF KRASNODAR FOR THE EFFECTIVE WORK OF SOLAR PANELS IN RESIDENTIAL BUILDINGS. RESEARCH RESULTS FOR 2014-2020

2020 ◽  
Vol 5 (9) ◽  
pp. 30-36
Author(s):  
A. Grazhdankin ◽  
V. Ivanchenko
Keyword(s):  
Solar Energy ◽  
Residential Buildings ◽  
Field Studies ◽  
Energy System ◽  
Correct Selection ◽  
Solar Panels ◽  
Renewable Energy Resources ◽  
Effective Work ◽  
Harmful Emissions ◽  
Selection Of

The article is a continuation of the article entitled "Reconciliation of the solar climate of Krasnodar for the effective operation of solar panels in residential buildings" published in the Bulletin of BSTU named after V.G. Shukhov in 2017. At present, the vast majority of stationary weather stations are located at a sufficiently large distance from the zone in which it is necessary to assess the potential of renewable energy resources. The article presents the results of field studies of the solar climate of Krasnodar conducted from 2014 to 2020. The results of the study are compared with normative documentation and a climate guide. The use of solar panels is important factor to reduce harmful emissions into the atmosphere. For the correct selection of the number of solar panels, it is necessary to know the exact amount of solar energy that will fall on this panel. This information allows to calculate the amount of energy that will be generated by the building’s solar energy system or solar power station. The correct selection of the number of solar panels affects the quality of life of people and allows to fully cover the energy consumption of buildings and structures using solar energy as the main source of energy.

Feasibility, Sizing and Economic Analysis of Solar Energy System for Green Swinburne Campus

2020 ◽  
Author(s):  
Mohamed Ashfaaq Riphque ◽  
Hadi Nabipour-Afrouzi ◽  
Chin-Leong Wooi ◽  
SanChuin Liew ◽  
Kamyar Mehranzamir ◽  
...  
Keyword(s):  
Solar Energy ◽  
Economic Analysis ◽  
Energy System

scholarly journals Evaluation and Selection of Integrated Energy System Construction Scheme Equipped with Smart Energy Management and Control Platform Using Single-Valued Neutrosophic Numbers

2021 ◽  
Vol 13 (5) ◽  
pp. 2615
Author(s):  
Junqing Wang ◽  
Wenhui Zhao ◽  
Lu Qiu ◽  
Puyu Yuan
Keyword(s):  
Energy Management ◽  
Evaluation Criteria ◽  
Energy System ◽  
System Construction ◽  
Interval Numbers ◽  
Construction Scheme ◽  
Smart Energy Management ◽  
Integrated Energy System ◽  
And Control ◽  
Selection Of

Since application of integrated energy systems (IESs) has formed a markedly increasing trend recently, selecting an appropriate integrated energy system construction scheme becomes essential to the energy supplier. This paper aims to develop a multi-criteria decision-making model for the evaluation and selection of an IES construction scheme equipped with smart energy management and control platform. Firstly, a comprehensive evaluation criteria system including economy, energy, environment, technology and service is established. The evaluation criteria system is divided into quantitative criteria denoted by interval numbers and qualitative criteria. Secondly, single-valued neutrosophic numbers are adopted to denote the qualitative criteria in the evaluation criteria system. Thirdly, in order to accommodate mixed data types consisting of both interval numbers and single-valued neutrosophic numbers, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is extended into a three-stage technique by introducing a fusion coefficient μ. Then, a real case in China is evaluated through applying the proposed method. Furthermore, a comprehensive discussion is made to analyze the evaluation result and verify the reliability and stability of the method. In short, this study provides a useful tool for the energy supplier to evaluate and select a preferred IES construction scheme.

Feasibility Study of Solar Energy System at the University of North Dakota

2019 ◽  
Author(s):  
Bo K. Yesel ◽  
Jonathan J. Eslinger ◽  
Michael Nord ◽  
Daisy Flora Selvaraj ◽  
Prakash Ranganathan
Keyword(s):  
Solar Energy ◽  
North Dakota ◽  
Feasibility Study ◽  
Energy System ◽  
University Of North Dakota ◽  
The University
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