China
Africa
Explore chapters and articles related to this topic
Introduction
Published in Sven Ruin, Göran Sidén, Small-Scale Renewable Energy Systems, 2019
To summarize: While environmental concerns have been driving much of the development of renewable energy, we are now in a situation where the economic aspects are emerging as drivers. With the new, cheaper renewable energy, the improved storage possibilities, smart controls and energy-efficient technology, the costs can be lower in the long run – both for those who already have electrical power and those who don’t. However, we also should not underestimate the force inherent in the idea of being completely self-sufficient. Off-the-grid (OTG) has become the symbol of a system and lifestyle designed to meet needs without the support of remote infrastructure, such as a power grid. Off-the-grid homes aim to achieve autonomy; they do not rely on community services for water supply, sewage, gas, electricity or similar services. This brings opportunities to provide energy for all and empower local people.
A review of hybrid renewable energies optimisation: design, methodologies, and criteria
Published in International Journal of Sustainable Energy, 2023
Olalekan Kunle Ajiboye, Chimere Victor Ochiegbu, Eric Antwi Ofosu, Samuel Gyamfi
Kaabeche and Bakelli (2019) utilised four inspired natural algorithms (ALO, KH, GWO & JAYA) to minimise cost and storage technologies for energy storage (LA, Li-ion, and Ni-Cd Batteries). The sustainability of the system was carried out considering lifetime impact, cost of different batteries, and DOD on the unit cost of electricity (UCE). A comparison study shows the JAYA algorithm to be superior to others in terms of convergence, cost of Batteries (50% reduction), and reduction UCE by 30%, which pair Li-ion battery with LA battery in terms of cost. DOD of Ni-Cd and Li-ion were presented as 50% and 80%, respectively. PV/Wind/Ni-Cd and PV/Wind/LA are paired as most attractive in terms of the cost of UEC by the Author(S). Calado et al. (2019) optimised strategies for storage capacities and Hybrid Renewable energy system (off and grid-tied) dispatch for short-time and real-time operation with a new system architecture for PV/PSH/Wind/Battery/Diesel generators. They utilised a feed-forward neural network for short-time energy price forecast combined with energy storage technologies with a novel dispatched algorithm for cost reduction.
Cost regulation and power quality enhancement for PV-wind-battery system using grasshopper optimisation approach
Published in International Journal of Ambient Energy, 2022
D. J. Krishna Kishore, M. R. Mohamed, S. K. Jewaliddin, K. Peddakapu, P. Srinivasarao
Moreover, this study demonstrates the usage of different optimisation algorithms for both off-grid and on-grid connected systems through the HOMER program. Kamel and Dahl (2005) explained the reduction of carbon emission of diesel generators through the combination of any one renewable energy source like solar or wind. The Pareto evolutionary algorithm is used by the HOMER software to optimum design of PV/WT/Battery for reduction of carbon emission (Bernal-Agustín, Dufo-López, and Rivas-Ascaso 2006). The artificial bee colony (ABC) is used to maximise the utilisation of PV/WT/Battery, and inverter (Mohamed, Elarini, and Othman 2014). Besides, multi-objective particle swarm optimisation (MPSO) is used to minimise the three objectives loss of load, loss of energy and annualised cost of the system (ACS) (Baghaee et al. 2016). However, there are a quite few research studies on hybrid PV/WTs/Battery systems with newly designed optimised algorithms by HOMER software for off/on-grid systems. Hence, it is essential to perform deep examinations on hybrid renewable energy systems with new individual and hybrid optimisation methods for off/on grid systems at various uncertainties.
Techno-economic evaluation of a grid-connected microgrid system
Published in International Journal of Green Energy, 2019
The HOMER is an application tool produced by the National Renewable Energy Laboratory for optimization of renewable and nonrenewable energy resources in the off and grid-connected power systems (Hafez and Bhattacharya 2017). The software can as well be used for optimal sizing, planning, and design of the standalone microgrid systems for remote areas. The HOMER streamlines the task of assessing and design of the microgrid systems for a variety of applications based on a large number of technologies, the disparity in technology expenses and accessibility of local renewable energy resources. The optimization and sensitivity analysis algorithms adopted by the HOMER make it simpler to assess numerous possible configurations in the power system (Elaziz, Elsadd, and Farrag 2017). The HOMER is developed to surmount the difficult tasks of assessing and design of standalone and grid-connected power systems that arise from the complex nature of the system configuration and uncertainty of some parameters such as future fuel price and load growth.