scholarly journals Capacity Optimization and Configuration for Household Wind/PV/Storage Hybrid Power Generation System

2020 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Min Wang
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Turbines ◽  
Unit Cost ◽  
System Capacity ◽  
Design Calculation ◽  
Hybrid Power ◽  
Hybrid Renewable Energy System ◽  
Levelized Cost ◽  
Cost Of Energy

<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>

Techno-Economic Evaluation of Stand-alone Hybrid Renewable Energy System for Remote Village Using HOMER-Pro Software

2017 ◽  
Vol 6 (2) ◽  
pp. 74 ◽  
Author(s):  
Ajoya Kumar Pradhan ◽  
Mahendra Kumar Mohanty ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Optimization Design ◽  
Unit Cost ◽  
Flow Analysis ◽  
Energy System ◽  
Hybrid Energy ◽  
Hybrid Renewable Energy System ◽  
Cost Of Energy ◽  
Hybrid Renewable Energy

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.

Techno-economic Evaluation of Stand-alone Hybrid Renewable Energy System for Remote Village Using HOMER-pro Software

2017 ◽  
Vol 6 (2) ◽  
pp. 73
Author(s):  
Ajoya Kumar Pradhan ◽  
Mahendra Kumar Mohanty ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Optimization Design ◽  
Unit Cost ◽  
Flow Analysis ◽  
Energy System ◽  
Hybrid Energy ◽  
Hybrid Renewable Energy System ◽  
Cost Of Energy ◽  
Hybrid Renewable Energy

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.

scholarly journals Techno-Economic Feasibility Assessment of Grid-Connected PV Systems for Residential Buildings in Saudi Arabia—A Case Study

2019 ◽  
Vol 12 (1) ◽  
pp. 262 ◽  
Author(s):  
Amir A. Imam ◽  
Yusuf A. Al-Turki ◽  
Sreerama Kumar R.
Keyword(s):  
Power Generation ◽  
Saudi Arabia ◽  
Renewable Energy ◽  
Net Present Value ◽  
Economic Feasibility ◽  
Performance Ratio ◽  
Present Value ◽  
Pv System ◽  
Levelized Cost ◽  
Cost Of Energy

This paper presents a techno-economic feasibility evaluation for a grid-connected photovoltaic energy conversion system on the rooftop of a typical residential building in Jeddah, one of the major cities in Saudi Arabia. In Saudi Arabia, electric energy consumption is the highest in the domestic sector, with 48.1% of the total electricity consumption. As the power generation in Saudi Arabia mainly relies on conventional resources, environmental pollution and energy sustainability are major concerns. To minimize these issues, the Saudi government is in the process of maximizing the utilization of renewable energy resources for power generation. Investing in solar energy in Saudi Arabia is important because the country is witnessing a rapid increase in load demand, with annual growth rates of 6%. In this paper, the system advisor model software for renewable energy modeling has been utilized to perform a techno-economic feasibility analysis of a residential grid-connected solar photovoltaic (PV) system, which is proposed for a typical apartment in Saudi Arabia, on the basis of various key performance indicators, namely: yield factor, capacity factor, performance ratio, levelized cost of energy, net present value, internal rate of return, and payback period. A sensitivity analysis that investigates the impact of varying techno-economic parameters on system performance and feasibility is also discussed. The size of the PV system for a typical Saudi Arabian apartment is estimated to be 12.25 kW. Results have shown that the proposed system can generate 87% of the electricity needs of an apartment. The technical analysis showed that the capacity factor and the performance ratio were 22% and 78% respectively. The levelized cost of energy and net present value revealed competitive figures of 0.0382 $/kWh and $4378, respectively. The investigations indicate that residential PV installations are an effective option for energy management in the country.

scholarly journals Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland

Energies ◽  
2015 ◽  
Vol 8 (9) ◽  
pp. 9464-9485 ◽  
Author(s):  
Birgir Ragnarsson ◽  
Gudmundur Oddsson ◽  
Runar Unnthorsson ◽  
Birgir Hrafnkelsson
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Energy Analysis ◽  
Wind Power Generation ◽  
Generation System ◽  
Levelized Cost ◽  
Cost Of Energy ◽  
Power Generation System

scholarly journals LEVELIZED COST OF ENERGY (LCOE) ANALYSIS OF HEXCRETE WIND TOWERS

2018 ◽  
Author(s):  
Ali Nahvi
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Wind Power ◽  
The United States ◽  
Wind Power Generation ◽  
Department Of Energy ◽  
Energy Output ◽  
Gis Mapping ◽  
Levelized Cost ◽  
Cost Of Energy

Wind power generation has witnessed a dramatic growth in the 21st century. The Department of Energy (DOE) had a vision for wind energy that it would change into an extensively greater part of overall power generation in the U.S. by 2050. As specified by the DOE, wind power generation has grown by trifold from 2008 to 2013. This study presents a constructible, financially feasible alternative wind tower design to the 80 m steel tower platform which has the potential to decrease the overall Levelized cost of energy (LCOE). A hexagonal concrete wind tower solution is evaluated to facilitate the fabrication of a taller wind turbine generator to harvest more powerful, stable, and frequent wind resources for elevating wind energy production to cut down the overall LCOE. Subject matter experts from the industry were benefitted from to develop a process and estimate the cost and schedule of development and assembly of this process. To mitigate uncertainties and quantify risks, a sensitivity analysis was carried out on cost and schedule estimates. Also, estimating LCOE of wind towers is a primary requirement for efficient assimilation of wind power generation in the electricity market. In the state of Iowa, wind power is rapidly becoming a significant electricity generator. Unpredictable outputs and different options for deploying wind towers are one of the major problems of power system operators. Good estimation tools are important and will be needed to integrate wind energy into the economic power plant. The other objective of this research is to propose a GIS-based map to visualize LCOE of different wind tower construction options in various locations. Therefore, wind speed GIS mapping by using weather information will be crucial. Calculation of energy output by applying wind gradient formula to wind speeds energy are performed. The research concludes of Hexcrete towers can be achieved by use of the 120m and 140 m Hexcrete tower platform on certain wind sites in the United States.

Optimal Operational Strategy for PV/Wind-Diesel Hybrid Power Generation System with Energy Storage

2017 ◽  
pp. 1438-1460 ◽  
Author(s):  
Vincent Anayochukwu Ani
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power System ◽  
Control Algorithm ◽  
Energy System ◽  
Diesel Generator ◽  
Generation System ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Power Generation System

Telecommunications industry requires efficient, reliable and cost-effective hybrid power system as alternative to the power supplied by diesel generator. This paper proposed an operational control algorithm that will be used to control and supervise the operations of PV/Wind-Diesel hybrid power generation system for GSM base station sites. The control algorithm was developed in such a way that it coordinates when power should be generated by renewable energy (PV panels and Wind turbine) and when it should be generated by diesel generator and is intended to maximize the use of renewable system while limiting the use of diesel generator. Diesel generator is allocated only when the demand cannot be met by the renewable energy sources including battery bank. The developed algorithm was used to study the operations of the hybrid PV/Wind-Diesel energy system. The control simulation shows that the developed algorithm reduces the operational hours of the diesel generator thereby reducing the running cost of the hybrid energy system as well as the pollutant emissions. With the data collected from the site, a detailed economic and environmental analysis was carried out using micro power optimization software homer. The study evaluates savings associated with conversion of the diesel powered system to a PV/Wind-Diesel hybrid power system.

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