scholarly journals Optimization of Hybrid Renewable Energy System Using Homer

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2542-2550

In this modern epoch Sustainable Energy Resources (SER) takes an upper hand in meeting the rise in power demand. Over the last few years, the increasing electrical power demand has prompted an incredible need for power from sustainable energy sources. The irradiation from solar, wind turbines are pondered as the main source of power generation since they supplement one another. For the general development of the economy, it is important that the agro-based economy would lead to the growth of the country. It is neither achievable nor affordable to dispatch power in the far away locales for a scarcely populated town. In this paper, the supplanting of energy sources with the sustainable power sources utilizing HOMER programming is performed. An independent sustainable power sources (ISPS) is used to meet the load and the cost is evaluated. The work is performed for real time data under different schemes like PV, wind and its combination. The optimization of operating cost under two scenario of using the ISPS (either PV or Wind) and using both PV & wind for real-time input taken from Sicud village in Philippines and Laboratory load data of SRMIST in India is performed. The comparison of the operating cost for the two region under two cases is executed and analyzed.

The global climate change and rapidly growing population over the decades are creating an enormous burden on conventional energy sources. Global environmental concern is expected for the proper planning of renewable sources to increase a positive impact on global warming. The hybrid renewable energy system is proposed for optimum sizing, costing, quality, and reliability of supply for the standalone system. This research study also includes a multi-objective optimization of the Net Present Cost (NPC)t, fuel cost, operating cost, and Cost of Energy of the hybrid system. A hybrid renewable energy system has been designed, which includes solar, wind, battery, and diesel generator for a standalone off-grid. The simulation and techno-economic analysis of case studies indicate that the hybrid system decreases the operating cost according to meteorological conditions. The employed algorithm, for power management, results in minimum use of diesel generator and a reduction in fuel cost. Furthermore, the proposed system shows better results when analyzed for Loss of power supply probability, Renewable factor, Carbon content, and Sensitivity. Thus, the proposed model proves that minimum utilization of diesel generator requires maximum utilization of renewable energy sources, thereby reducing the emission of greenhouse gases and reducing global warming.


Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3523 ◽  
Author(s):  
Haichao Wang ◽  
Giulia Di Pietro ◽  
Xiaozhou Wu ◽  
Risto Lahdelma ◽  
Vittorio Verda ◽  
...  

Renewable energy sources (RES) are playing an increasingly important role in energy markets around the world. It is necessary to evaluate the benefits from a higher level of RES integration with respect to a more active cross-border transmission system. In particular, this paper focuses on the sustainable energy transitions for Finland and Italy, since they have two extreme climate conditions in Europe and quite different profiles in terms of energy production and demand. We developed a comprehensive energy system model using EnergyPLAN with hourly resolution for a reference year for both countries. The models include electricity, heat and transportation sectors. According to the current base models, new scenarios reflecting an RES increase in total fuel consumption have been proposed. The future shares of renewables are based on each nation’s potential. The outcomes of the new scenarios support the future national plans, showing how decarburization in an energy system can occur in relation to the European Roadmap 2030 and 2050. In addition, possible power transmission between Italy and Finland were investigated according to the vision of an integrated European energy system with more efficient cross-border activities.


Author(s):  
Venkatachalam K M ◽  
V Saravanan

<p>The co-ordination of non-conventional energy technologies such as solar, wind, geothermal, biomass and ocean are gaining significance in India due to more energy requirements and high greenhouse gas emission. In this assessment, the sustainability of emerging the gird isolated hybrid solar photovoltaic (PV)/wind turbine (WT)/diesel generator (DG)/battery system for Arunai Engineering College (India) building is evaluated. The techno- economic and environmental research was inspected by HOMER Pro software by choosing the optimal combination depends on size of the components, renewable fraction, net present cost (NPC), cost of energy (COE) and greenhouse gas (GHG) emission of the hybrid system. From the acquired outcomes and sensitivity investigation, the optimal PV-WT-DG- Battery combination has a NPC of $28.944.800 and COE $0.1266/kWh, with an operating cost of $256.761/year. The grid isolated hybrid system is environmentally pleasant with a greenhouse gas emission of 2.692 kg/year with renewable fraction of 99.9%.</p>


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shihong Dang ◽  
Wei Tang

The traditional real-time data scheduling method ignores the optimization process of job data that leads to delayed delivery, high inventory cost, and low utilization rate of equipment. This paper proposes a novel real-time data scheduling method based on deep learning and an improved fuzzy algorithm for flexible operations in the papermaking workshop. The algorithm is divided into three parts: the first part describes the flexible job shop scheduling problem; the second part constructs the fuzzy scheduling model of flexible job data in papermaking workshop; and finally the third part uses a genetic algorithm to obtain the optimal solution of fuzzy scheduling of flexible job data in papermaking workshop. The results show that the optimal solution is obtained in 48 seconds at the 23rd attempt (iteration) under the application of the proposed method. This result is much better than the three traditional scheduling methods with which we compared our results. Hence, this paper improves the work efficiency and quality of papermaking workshop and reduces the operating cost of the papermaking enterprise.


Author(s):  
Sudhakar Hallur ◽  
Roopa Kulkarni ◽  
Prashant P. Patavardhan ◽  
Vishweshkumar Aithal

A non-sustainable wellspring of energy is for the most part non-plentiful in nature and can be utilized until they exist in plenitude. As and when the acknowledgment of the decrease of the bountiful assets and natural risks hit, an auxiliary idea of use of non-pollutable-sustainable power sources shows up into place. Different vulnerabilities as for the plan and supplies of a vehicle emerge with less or weakened association of the sustainable assets. A few vulnerabilities will emerge from the capital venture part and extents from the general population and private segments. Another challenge is the contribution of the innovation to travel the flow ordinary vehicles to electrical vehicles (EV) and to coordinate the renewable energy sources (RES), for example, wind-vitality, sunlight-based photovoltaics, and differing assortments of bio-energies to constantly work according to the prerequisite to reduce greenhouse gas (GHG). This chapter deals with the integration and charging challenges and strategies, coordination of vehicles, demand integration, and solutions to them.


Taking into consideration of continuously increasing consumption of the electricity and perturb towards environmental issues, renewable energy sources have been broadly used for generation of electricity. A Hybrid Energy System can be elucidated as systems which consist of various energy sources such as wind, solar, fuel cell, diesel generator and storage systems such as batteries to store energy are integrated and interconnected to satisfy the load energy demand. This paper infers the generation of electricity by utilizing the Hybrid Renewable Energy System (HRES). This paper presents the modelling and future challenges of the HRES.


Author(s):  
Mouna Ben Smida ◽  
Anis Sakly ◽  
Sundarapandian Vaidyanathan ◽  
Ahmad Taher Azar

There has been a great deal of interest in renewable energy sources for electricity generation, particularly for photovoltaic and wind generators. These energy resources have enormous potential and can meet the current global demand for energy. Despite the obvious advantages of renewable energy sources, they have significant disadvantages, such as the discontinuity of their generation, due to their heavy dependence on weather and climate change, which affects their effectiveness in the conversion of renewable energy. Faced with this conflict, it is essential to optimize the performance of renewable systems in order to increase their efficiency. Several unconventional approaches to optimization have been developed in the literature. In this chapter, the management of a hybrid renewable energy system is optimized by intelligent approach based on particle swarm optimization comprising a shaded photovoltaic generator and a wind generator.


Sign in / Sign up

Export Citation Format

Share Document