Techno-commercial study of a solar hybrid renewable energy generator with an initial sizing strategy

2021 ◽  
pp. 1-28
Author(s):  
Monotosh Das ◽  
Maisanam Anil Kumar Singh ◽  
Agnimitra Biswas

Abstract Solar energy based hybrid renewable energy generators are techno-economically designed for various standalone uses like, far distance area electrification, commercial building electrification, polygeneration, industrial application, etc. This paper attempts to address the problem of high cost of energy of such generators, which needs to be optimized. The research gap is that there is hardly any work on techno-economic optimization of such generators using an initial sizing technique, thereby resulting in a design with higher cost of energy. In this work, a hybrid renewable energy generator comprising of solar PV-biogas-battery storage is techno-economically optimized with the aim of minimizing its cost of energy for electrification of a radio-broadcasting station in India by using simulation software named hybrid optimization model for electric renewables. An initial sizing strategy has been proposed in the modelling of the hybrid system. Optimal designs are obtained under different scenarios, like in standalone mode with and without capacity shortage fraction, and in grid connected mode with scheduled and random outages. The results show that during initial sizing in standalone mode, consideration of larger size (25 kW) of the component with lower unit capacity cost (biogas unit), and higher load sharing by it (102625 kWh/year) in the energy management of the hybrid design with a small capacity shortage (5%) reduces the levelized cost of energy to 0.0956 /kWh compared to some of the literature designs. Out of all the optimal designs, the grid connected system has the lowest levelized cost of energy of 0.0873/kWh with a renewable fraction of 0.821. The present work contributes in the component size planning of hybrid renewable energy generator to generate lower levelized cost of energy. The novelty of the present work is that in the component size planning in standalone mode, following the initial sizing strategy, if the component with lower unit capacity cost shares majority of the load, then the levelized cost of energy with or without grid connected mode can be further reduced compared to some existing designs, which can be verified from the simulation results. Therefore, the present results will be useful for component planning and sizing of hybrid renewable generators so as to preset the size of its components as per their unit capacity cost to result in a lower cost of energy.

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.


2020 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Min Wang

<p align="justify"><strong> </strong>For capacity matching and design calculation on off-grid Hybrid Renewable Energy System, commercial software like Homer developed by the National Renewable Energy Laboratory is commonly used at present. This paper takes the load demand of household users as the research object, and uses the three cities with different potentials of wind and solar resources as the of the Wind/PV/Storage hybrid power generation systems simulation installation site. The Homer optimizes the system capacity configuration, and the goal is to find the minimum investment cost while meeting the users electricity demand. The results show that the potential of the wind and solar resources will affect the levelized cost of energy of the installed system. The levelized cost of energy will be smaller in the place where the wind and solar resources are abundant. At the same time, the unit cost of the wind turbine is higher than that of the Photovoltaic system, so the cost of wind turbines effect is more obvious for the levelized cost of energy of the overall system. Finally, the paper also analyzes the sensitivity of the technical parameters of wind turbines and loss of power supply probability.</p>


Author(s):  
Peter Schwarz ◽  
Navid Goudarzi ◽  
Ercument Camadan

Abstract The levelized cost of energy (LCOE) was developed for conventional, non-renewable energy sources, and can be misleading for renewable sources. The intermittent nature of renewable energy resources requires further refining the LCOE definition to prevent overvaluing renewables. Utilities must consider revenues as well as costs in comparing renewables to each other, as well as to conventional, non-renewable fuels. This paper explores the utility net revenues from solar energy — revenues from customer grid purchases net of payments made for solar generation by the customer exported to the utility — under three rate alternatives: Net Metering, Net Purchasing, and Gross Metering. Using individual customer data from Austin Energy for solar customers for the year of 2018, the net revenues to the utility under these three mechanisms were studied for two cases: increasing block rates and flat rates. The results demonstrate that even though the levelized cost of solar adoption is unaffected by the choice of rate, solar adoption by the utility is generally most favorable under gross metering, and least favorable under net metering. Moreover, the outcome can differ on whether the utility uses flat rates or increasing block rates, and on the customer’s level of consumption. This work provides a broader system-level understanding of renewable energy technologies that can be used by engineers, researchers, and government agencies when studying the life-cycle cost of power-generating systems.


Author(s):  
Bahtiyar Dursun ◽  
Ercan Aykut

This paper presents a techno-economic analysis of hybrid renewable energy systems to supply the electrical load requirements of the nursing home located in Istanbul, Turkey. The standalone hybrid renewable energy systems (Photovoltaic (PV)/wind/fuel cell/electrolyzer, PV/fuel cell/electrolyzer, and wind/fuel cell/electrolyzer, etc.) considered in the analysis were comprised of different combinations of PV panels, fuel cells, and wind turbines supplemented with hydrogen storage. In this study, the Hybrid Optimization of Multiple Energy Resources (HOMER) software is used as the assessment tool to determine the optimal configuration of hybrid renewable energy systems taking total net present cost and cost of energy into consideration. As a result, it is determined that the optimal system configuration of standalone wind/PV/fuel cell/electrolyzer hybrid renewable energy systems with the lowest total net present cost consists of 30 kW PV panel, 20 kW wind turbine, 20 kW fuel cell, 20 kW power converter, 50 kW electrolyzer, 20 kW rectifier, and 100 kg hydrogen tank. Besides, the net present cost and cost of energy of the optimum configuration are calculated to be $607,298 and $1.306/kWh, respectively. The system is considered as completely renewable. When wind speed and solar radiation values increase, then the cost of energy decrease about $0.979/kWh.


2020 ◽  
Vol 12 (14) ◽  
pp. 5732
Author(s):  
Michael O. Ukoba ◽  
Ogheneruona E. Diemuodeke ◽  
Mohammed Alghassab ◽  
Henry I. Njoku ◽  
Muhammad Imran ◽  
...  

This paper presents eight hybrid renewable energy (RE) systems that are derived from solar, wind and biomass, with energy storage, to meet the energy demands of an average household in the six geopolitical zones of Nigeria. The resource assessments show that the solar insolation, wind speed (at 30 m hub height) and biomass in the country range, respectively, from 4.38–6.00 kWh/m2/day, 3.74 to 11.04 m/s and 5.709–15.80 kg/household/day. The HOMER software was used to obtain optimal configurations of the eight hybrid energy systems along the six geopolitical zones’ RE resources. The eight optimal systems were further subjected to a multi-criteria decision making (MCDM) analysis, which considers technical, economic, environmental and socio-cultural criteria. The TOPSIS-AHP composite procedure was adopted for the MCDM analysis in order to have more realistic criteria weighting factors. In all the eight techno-economic optimal system configurations considered, the biomass generator-solar PV-battery energy system (GPBES) was the best system for all the geopolitical zones. The best system has the potential of capturing carbon from the atmosphere, an attribute that is desirous for climate change mitigation. The cost of energy (COE) was seen to be within the range of 0.151–0.156 US$/kWh, which is competitive with the existing electricity cost from the national grid, average 0.131 US$/kWh. It is shown that the Federal Government of Nigeria favorable energy policy towards the adoption of biomass-to-electricity systems would make the proposed system very affordable to the rural households.


Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7084
Author(s):  
Fadi Kahwash ◽  
Basel Barakat ◽  
Ahmad Taha ◽  
Qammer H. Abbasi ◽  
Muhammad Ali Imran

This study focuses on improving the sustainability of electrical supply in the healthcare system in the UK, to contribute to current efforts made towards the 2050 net-zero carbon target. As a case study, we propose a grid-connected hybrid renewable energy system (HRES) for a hospital in the south-east of England. Electrical consumption data were gathered from five wards in the hospital for a period of one year. PV-battery-grid system architecture was selected to ensure practical execution through the installation of PV arrays on the roof of the facility. Selection of the optimal system was conducted through a novel methodology combining multi-objective optimisation and data forecasting. The optimisation was conducted using a genetic algorithm with two objectives (1) minimisation of the levelised cost of energy and (2) CO2 emissions. Advanced data forecasting was used to forecast grid emissions and other cost parameters at two year intervals (2023 and 2025). Several optimisation simulations were carried out using the actual and forecasted parameters to improve decision making. The results show that incorporating forecasted parameters into the optimisation allows to identify the subset of optimal solutions that will become sub-optimal in the future and, therefore, should be avoided. Finally, a framework for choosing the most suitable subset of optimal solutions was presented.


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.


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