A computationally efficient Li-ion electrochemical battery model for long-term analysis of stand-alone renewable energy systems

2018 ◽  
Vol 17 ◽  
pp. 93-101 ◽  
Author(s):  
Majid Astaneh ◽  
Rodolfo Dufo-López ◽  
Ramin Roshandel ◽  
Farzin Golzar ◽  
José L. Bernal-Agustín
2021 ◽  
Author(s):  
Taskin Jamal ◽  
Prof Christopher J. Fogwill ◽  
Ashraf Hossain Bhuiyan

Abstract Beneficiaries prefer renewable energy-based systems over grid-connected electricity. The cost of energy is viewed as the most influential factor while choosing renewable energy systems. Beneficiaries chose to stay linked with renewa­ble energy systems even when they received grid-connected electricity at a lower tariff.Net-metering and feed-in tariff mechanisms, as well as tax cuts and subsidies for renewable energy projects, could be the catalyst for fostering greater uptake of renewables in the electricity generation mix.


Author(s):  
Tiwari S.L ◽  
◽  
Dinesh Tiwari ◽  

Remote areas, where renewable energy systems can make their greatest impact, for the most part will not have data on the available resources. This is especially true in developing countries. Often, the designer has to estimate the resources either based on data available at similar or nearby locations or rely on qualitative information, which may be of the form :highly windy, highly variable, calm, mostly cloudy, etc. But, such information is only a snapshot and does not represent long term averages that are needed for planning. In present paper Micro Grid is planned for Makhla village in Amravati district as a rural electrification.


2020 ◽  
Vol 12 (14) ◽  
pp. 5570 ◽  
Author(s):  
Yuehong Lu ◽  
Mohammed Alghassab ◽  
Manuel S. Alvarez-Alvarado ◽  
Hasan Gunduz ◽  
Zafar A. Khan ◽  
...  

Generation system interruptions in net-zero energy buildings (NZEBs) may result in missing the net-zero targets by a great margin. Consequently, it is significant to incorporate a realistic reliability model for renewable energy systems (RESs) that considers aging and long-term weather conditions. This study proposed a robust design optimization method that deals with the selection of RES to achieve NZEB. Different case studies were evaluated: 1. Deterministic approach; 2. Markov chain-based reliability without the aging effect; 3. Markov chain-based reliability with the aging effect. The results showed that the optimal sizes of RES, considering the aging effect, were much larger than the other two cases based on the annual energy balance. Moreover, the consideration of the aging effect on the reliability assessment of the generation system for NZEB opens a pathway for a more robust and economic design of RES.


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