scholarly journals Special Issue on Standalone Renewable Energy System: Modeling and Controlling

2020 ◽  
Vol 10 (6) ◽  
pp. 2068
Author(s):  
Rodolfo Dufo-López ◽  
José L. Bernal-Agustín
Keyword(s):  
Renewable Energy ◽  
System Modeling ◽  
Energy Systems ◽  
Energy System ◽  
Special Issue ◽  
Renewable Energy Systems ◽  
Electrical Grid ◽  
Renewable Energy System ◽  
Energy System Modeling

Standalone (off-grid) renewable energy systems supply electricity in places where there is no access to a standard electrical grid [...]

scholarly journals Applications of solar and wind renewable energy in agriculture: A review

2019 ◽  
Vol 102 (2) ◽  
pp. 127-140 ◽  
Author(s):  
Yuliana de Jesus Acosta-Silva ◽  
Irineo Torres-Pacheco ◽  
Yasuhiro Matsumoto ◽  
Manuel Toledano-Ayala ◽  
Genaro Martín Soto-Zarazúa ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Fossil Fuels ◽  
Energy Systems ◽  
Energy System ◽  
Climate Control ◽  
Greenhouse Production ◽  
Renewable Energy Systems ◽  
Greenhouse Crops ◽  
Renewable Energy System ◽  
The Impact

The growing demand for food and the unstable price of fossil fuels has led to the search for environmentally friendly sources of energy. Energy is one of the largest overhead costs in the production of greenhouse crops for favorable climate control. The use of wind–solar renewable energy system for the control of greenhouse environments reduces fuel consumption and so enhances the sustainability of greenhouse production. This review describes the impact of solar–wind renewable energy systems in agricultural greenhouses.

Soft computing in renewable energy system modeling

2021 ◽  
pp. 79-102
Author(s):  
Paul A. Adedeji ◽  
Obafemi O. Olatunji ◽  
Nkosinathi Madushele ◽  
Abiola O. Ajayeoba
Keyword(s):  
Renewable Energy ◽  
Soft Computing ◽  
System Modeling ◽  
Energy System ◽  
Renewable Energy System ◽  
Energy System Modeling

Preface ‐ special issue on Control Applications in Renewable Energy Systems

2019 ◽  
Vol 21 (4) ◽  
pp. 1778-1780
Author(s):  
Jian Chen ◽  
Mohamed Becherif ◽  
Haitham S. Ramadan
Keyword(s):  
Renewable Energy ◽  
Energy Systems ◽  
Special Issue ◽  
Control Applications ◽  
Renewable Energy Systems

scholarly journals Multi-Objective Decision-Making for Hybrid Renewable Energy Systems for Cities: A Case Study of Xiongan New District in China

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6223
Author(s):  
Bin Ye ◽  
Minhua Zhou ◽  
Dan Yan ◽  
Yin Li
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Energy Systems ◽  
Energy System ◽  
Energy Utilization ◽  
Target Area ◽  
Renewable Energy Systems ◽  
Multi Objective ◽  
Hybrid Renewable Energy Systems ◽  
Hybrid Renewable Energy

The application of renewable energy has become increasingly widespread worldwide because of its advantages of resource abundance and environmental friendliness. However, the deployment of hybrid renewable energy systems (HRESs) varies greatly from city to city due to large differences in economic endurance, social acceptance and renewable energy endowment. Urban policymakers thus face great challenges in promoting local clean renewable energy utilization. To address these issues, this paper proposes a combined multi-objective optimization method, and the specific process of this method is described as follows. The Hybrid Optimization Model for electric energy was first used to examine five different scenarios of renewable energy systems. Then, the Technique for Order Preference by Similarity to an Ideal Solution was applied using eleven comprehensive indicators to determine the best option for the target area using three different weights. To verify the feasibility of this method, Xiongan New District (XND) was selected as an example to illustrate the process of selecting the optimal HRES. The empirical results of simulation tools and multi-objective decision-making show that the Photovoltaic-Diesel-Battery off-grid energy system (option III) and PV-Diesel-Hydrogen-Battery off-grid energy system (option V) are two highly feasible schemes for an HRES in XND. The cost of energy for these two options is 0.203 and 0.209 $/kWh, respectively, and the carbon dioxide emissions are 14,473 t/yr and 345 t/yr, respectively. Our results provide a reference for policymakers in deploying an HRES in the XND area.

scholarly journals Optimal Management of a Hybrid Renewable Energy System Coupled with a Membrane Bioreactor Using Enviro-Economic and Power Pinch Analyses for Sustainable Climate Change Adaption

2018 ◽  
Vol 11 (1) ◽  
pp. 66 ◽  
Author(s):  
Tuan-Viet Hoang ◽  
Pouya Ifaei ◽  
Kijeon Nam ◽  
Jouan Rashidi ◽  
Soonho Hwangbo ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Membrane Bioreactor ◽  
Energy System ◽  
Optimization Approach ◽  
Electrical Grid ◽  
Environmental Models ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Scale Optimization ◽  
Hybrid Renewable Energy

This study proposed an optimal hybrid renewable energy system (HRES) to sustainably meet the dynamic electricity demand of a membrane bioreactor. The model-based HRES consists of solar photovoltaic panels, wind turbines, and battery banks with grid connectivity. Three scenarios, 101 sub-scenarios, and three management cases were defined to optimally design the system using a novel dual-scale optimization approach. At the system scale, the power-pinch analysis was applied to minimize both the size of components and the outsourced needed electricity (NE) from Vietnam’s electrical grid. At a local-scale, economic and environmental models were integrated, and the system was graphically optimized using a novel objective function, combined enviro-economic costs (CEECs). The results showed that the optimal CEECs were $850,710/year, $1,030,628/year, and $1,693,476/year for the management cases under good, moderate, and unhealthy air qualities, respectively. The smallest CEEC was obtained when 47% of the demand load of the membrane bioreactor was met using the HRES and the rest was supplied by the grid, resulting in 6,800,769 kg/year of CO2 emissions.

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