scholarly journals A comparative approach between different optimize result in hybrid energy system using HOMER

Author(s):  
Shweta Goyal ◽  
Sachin Mishra ◽  
Anamika Bhatia

<p>To compare the different result of optimization of a hybrid energy system. A hybrid renewable energy system (HRES) is the combination of renewable and non-renewable sources which is playing a very important role for rural area electrification when grid extension is not possible or excessively expensive. Non renewable sources like diesel power generator (optional) are used in a HRES for backup when renewable energy supply is not sufficient. While the HRES is very important due to the smallest natural and physical contact compared to non renewable sources, this work proposed a comparison outcome with the help of different component by using HOMER software and get best optimize result for the model. This paper presents a wide-ranging review of various aspects of HRES. This paper discusses study, best sizing, and model, organize aspect and reliability issue.</p>

Author(s):  
Ajoya Kumar Pradhan ◽  
Mahendra Kumar Mohanty ◽  
Sanjeeb Kumar Kar

The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the unit cost of energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (Hybrid Optimization Model of Electric Renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.


Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2639
Author(s):  
Mahelet G. Fikru ◽  
Gregory Gelles ◽  
Ana-Maria Ichim ◽  
Joseph D. Smith

Despite advances in small-scale hybrid renewable energy technologies, there are limited economic frameworks that model the different decisions made by a residential hybrid system owner. We present a comprehensive review of studies that examine the techno-economic feasibility of small-scale hybrid energy systems, and we find that the most common approach is to compare the annualized life-time costs to the expected energy output and choose the system with the lowest cost per output. While practical, this type of benefit–cost analysis misses out on other production and consumption decisions that are simultaneously made when adopting a hybrid energy system. In this paper, we propose a broader and more robust theoretical framework—based on production and utility theory—to illustrate how the production of renewable energy from multiple sources affects energy efficiency, energy services, and energy consumption choices in the residential sector. Finally, we discuss how the model can be applied to guide a hybrid-prosumer’s decision-making in the US residential sector. Examining hybrid renewable energy systems within a solid economic framework makes the study of hybrid energy more accessible to economists, facilitating interdisciplinary collaborations.


2021 ◽  
pp. 0309524X2110287
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly

In this paper the authors have developed a hybrid renewable energy system. The studied structure comprises a wind energy generator, a shaded photovoltaic generator associated to an inertial storage system. The modeling of the global structure is developed and the control strategy is discussed. Conventional methods have been used to control the renewable sources. However, they may not have a suitable performance if the controlled system contains nonlinearity, as the wind turbine system or the shaded photovoltaic generator. In the presence of modeling uncertainties, the necessity of methods presenting controllers with appropriate performance as the advanced control strategies is inevitable. Fuzzy logic is used to control both the wind generator’s pitch angle and the maximum power point tracking (MPPT) of a shaded photovoltaic generator. The control of the storage flywheel, associated with the studied structure, to regulate the power supplied by renewable sources is also discussed. The design of the proposed strategy and its comparison with conventional controllers are carried out. The proposed method effectiveness is verified by MATLAB simulation results.


2021 ◽  
Vol 294 ◽  
pp. 01004
Author(s):  
Sonja Kallio ◽  
Monica Siroux

To reduce carbon and greenhouse gas emissions, the more efficient and environmentally friendly energy production in the building sector is required. The deployment of renewable energy based microcogeneration units in the decentralized hybrid energy systems is a part of the solution. The micro combined heat and power (micro-CHP), or co-generation, units produce simultaneously heat and electricity from a single fuel source at high efficiency and close to the consumption point. These units offer significant benefits: reduced primary energy consumption, reduced CO2 emissions, and avoidance of distribution losses due to central plant and network construction. The objective of this paper is to present a review of available renewable energy based micro-CHP systems and to focus on the biomass and solar based conversion devices. Finally, a novel hybrid renewable energy system is presented by coupling renewable energy sources, such as solar and biomass for micro-CHP.


2021 ◽  
Vol 58 (1) ◽  
pp. 4283-4288
Author(s):  
Shilaja C, Dr. S. Jeyanthi

Power generation is more important to fulfill power demand throughout the world. Population and their electric power demand are increasing day by day. Achieve the energy demand from end-users, and recent research works have concentrated on designing a hybrid energy system. This paper proposed a multi-objective optimized model of a hybrid renewable energy system for a grid. The optimal model can choose a suitable design model of solar, wind, diesel, and batteries interconnected in the hybrid energy system. Optimization is applied for minimizing the system cost, fuel cost and diminish the fuel emission. It also aimed to improve the reliability of renewable sources. Initially, the problem is defined as a multi-objective problem and solved by a multi-objective evolutionary algorithm. From the simulation results, it is identified that the proposed multi-objective evolutionary algorithm performs better.


Author(s):  
Ajoya Kumar Pradhan ◽  
Mahendra Kumar Mohanty ◽  
Sanjeeb Kumar Kar

The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar Photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the Unit Cost Of Energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (hybrid optimization model of electric renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Franck Armel Talla Konchou ◽  
Hermann Djeudjo Temene ◽  
René Tchinda ◽  
Donatien Njomo

AbstractHybrid Renewable Energy System is a very good solution to the energy deficit encounter in developing countries. The paper presents the optimal design of a hybrid renewable energy system regarding the technical aspect that is Loss of Power Supply Probability (LPSP), economic aspect that is Cost of Electricity (COE) and Net Present Cost (NPC) and environmental aspect that is Total Greenhouse gases emission (TGE) aspects using a multi-objective Particle Swarm Optimization algorithm for a Community multimedia center in MAKENENE, Cameroon. Optimal configurations including Photovoltaic (PV), Wind, Battery and Diesel generator (DG), separated into Scenarios 1–7 of hybrid energy systems are tested to have the most appropriate Scenario. Scenario 3 (Hybrid system with PV, Battery and DG) with Loss of Power Supply Probability, Cost of Electricity, Net Present Cost and Emission of 0.003%, 0.132 $/kWh, 38,817.7 $ and 2.2 kg/year respectively is found to be the most appropriate for the Community multimedia center.


2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.


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