Performance evaluation of a 2 MW wind power project

2006 ◽  
Vol 17 (4) ◽  
pp. 70-75 ◽  
Author(s):  
V P Khambalkar ◽  
D S Karale ◽  
S R Gadge
Keyword(s):  
Performance Evaluation ◽  
Total Energy ◽  
Wind Power ◽  
Energy Production ◽  
Energy Generation ◽  
Capacity Factor ◽  
Load Factor ◽  
Efficient Energy ◽  
Power Project ◽  
Generation Unit

This work is the analysis of the energy generation of a 2 MW wind power project installed at Motha, District Amaravati, in the state of Maharashtra. The various availabilities of the wind power project were studied for the efficient energy production of the project. It was observed that 92.72 percent of the system was available for energy generation throughout the year. The energy generation data with the various shutdowns of the system was studied. The energy generation of the system was studied in terms of the plant load factor or the capacity factor. Capacity factor was observed to be 21.16 percent with the total energy generation unit being 3.73 MWh.

scholarly journals Performance analysis of 30 MW wind power plant in an operation mode in Nouakchott, Mauritania

2021 ◽  
Vol 12 (1) ◽  
pp. 532
Author(s):  
Bamba Heiba ◽  
Ahmed Med Yahya ◽  
Mohammed Qasim Taha ◽  
Nadhira Khezam ◽  
Abdel Kader Mahmoud
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Total Energy ◽  
Wind Power ◽  
Wind Farm ◽  
Operation Mode ◽  
Electrical Energy ◽  
Capacity Factor ◽  
Energy Output ◽  
Wind Power Plant

In this paper, the performance analysis of a 30 MW wind power plant is performed. The farm consists of fifteen (T1-T15) G9 7/2000/GAMESA 2 MW grid-connected turbines. The farm is in operation mode installed 28 km south of Nouakchott city in Mauritania. The analyzed data are monitored from July 1st, 2015 (the first operation day of the power plant) to December 31st, 2019. The parameters of performance evaluation are power generation, capacity factor, machine availability, grid availability, and system availability. It is observed from data analysis, the wind farm supplies a total energy of 507.39 GWh to the power grid and have a high average capacity factor of 42.55%. T1 produces the highest amount of electrical energy among the other turbines with a total energy output of 35.46 GWh, an average capacity factor of 44.97%, and operating hours of 33,814 hours. While T12 produced the minimum amount of energy in this period, the difference in energy compared to T1 is 4.563 GWh. It is observed that the availability of the network is unstable and needs improvement, varying between 90.86% in 2016 and 93.16% in 2018. In the first year of operation, 97.06% of the turbines were available. However, the average availability of the wind farm is approximately 94% during the total study period.

Hub height optimisation of commercial WTGs based on accurate wind resource analysis

2021 ◽  
pp. 0309524X2110227
Author(s):  
Kyle O Roberts ◽  
Nawaz Mahomed
Keyword(s):  
Power Generation ◽  
Wind Turbine ◽  
Wind Power ◽  
Capacity Factor ◽  
Resource Analysis ◽  
Wind Speeds ◽  
Unique Maximum ◽  
Wind Measurements ◽  
Generation Capacity ◽  
Wind Resource

Wind turbine selection and optimal hub height positioning are crucial elements of wind power projects. However, in higher class wind speeds especially, over-exposure of wind turbines can lead to a reduction in power generation capacity. In this study, wind measurements from a met mast were validated according to specifications issued by IRENA and NREL. As a first step, it is shown that commercial WTGs from a database may be matched to the wind class and turbulence intensity. Secondly, a wind turbine selection algorithm, based on maximisation of capacity factor, was implemented across the range of WTGs. The selected WTGs were further exposed to an iterative algorithm using pointwise air density and wind shear coefficients. It is shown that a unique maximum capacity factor, and hence wind power generation, exists for a wind turbine, premised on its eventual over-exposure to the wind resource above a certain hub height.

scholarly journals Assessing Renewable Energy Production Capabilities Using DEA Window and Fuzzy TOPSIS Model

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 334 ◽  
Author(s):  
Chia-Nan Wang ◽  
Thanh-Tuan Dang ◽  
Hector Tibo ◽  
Duy-Hung Duong
Keyword(s):  
United States ◽  
Renewable Energy ◽  
Total Energy ◽  
United Arab Emirates ◽  
Energy Production ◽  
Evaluation Method ◽  
Scale Up ◽  
Renewable Energy Resources ◽  
Population Total ◽  
Renewable Energy Production

Climate change and air pollution are among the key drivers of energy transition worldwide. The adoption of renewable resources can act as a peacemaker and give stability regarding the damaging effects of fossil fuels challenging public health as well as the tension made between countries in global prices of oil and gas. Understanding the potential and capabilities to produce renewable energy resources is a crucial pre-requisite for countries to utilize them and to scale up clean and stable sources of electricity generation. This paper presents a hybrid methodology that combines the data envelopment analysis (DEA) Window model, and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) in order to evaluate the capabilities of 42 countries in terms of renewable energy production potential. Based on three inputs (population, total energy consumption, and total renewable energy capacity) and two outputs (gross domestic product and total energy production), DEA window analysis chose the list of potential countries, including Norway, United Kingdom, Kuwait, Australia, Netherlands, United Arab Emirates, United States, Japan, Colombia, and Italy. Following that, the FTOPSIS model pointed out the top three countries (United States, Japan, and Australia) that have the greatest capabilities in producing renewable energies based on five main criteria, which are available resources, energy security, technological infrastructure, economic stability, and social acceptance. This paper aims to offer an evaluation method for countries to understand their potential of renewable energy production in designing stimulus packages for a cleaner energy future, thereby accelerating sustainable development.

scholarly journals Energy Recovery Potential in Industrial and Municipal Wastewater Networks Using Micro-Hydropower in Spain

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 691
Author(s):  
Aida Mérida García ◽  
Juan Antonio Rodríguez Díaz ◽  
Jorge García Morillo ◽  
Aonghus McNabola
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Recovery ◽  
Energy Production ◽  
Municipal Wastewater ◽  
Distribution Networks ◽  
Total Power ◽  
Energy Potential ◽  
Total Energy Consumption ◽  
Recovery Potential

The use of micro-hydropower (MHP) for energy recovery in water distribution networks is becoming increasingly widespread. The incorporation of this technology, which offers low-cost solutions, allows for the reduction of greenhouse gas emissions linked to energy consumption. In this work, the MHP energy recovery potential in Spain from all available wastewater discharges, both municipal and private industrial, was assessed, based on discharge licenses. From a total of 16,778 licenses, less than 1% of the sites presented an MHP potential higher than 2 kW, with a total power potential between 3.31 and 3.54 MW. This total was distributed between industry, fish farms and municipal wastewater treatment plants following the proportion 51–54%, 14–13% and 35–33%, respectively. The total energy production estimated reached 29 GWh∙year−1, from which 80% corresponded to sites with power potential over 15 kW. Energy-related industries, not included in previous investigations, amounted to 45% of the total energy potential for Spain, a finding which could greatly influence MHP potential estimates across the world. The estimated energy production represented a potential CO2 emission savings of around 11 thousand tonnes, with a corresponding reduction between M€ 2.11 and M€ 4.24 in the total energy consumption in the country.

Decentralized Multiarea Robust Generation Unit and Tie-Line Scheduling Under Wind Power Uncertainty

2015 ◽  
Vol 6 (4) ◽  
pp. 1377-1388 ◽  
Author(s):  
Zhigang Li ◽  
Mohammad Shahidehpour ◽  
Wenchuan Wu ◽  
Bo Zeng ◽  
Boming Zhang ◽  
...  
Keyword(s):  
Wind Power ◽  
Tie Line ◽  
Generation Unit

CHP and its role in efficient energy production: a feasibility assessment model

2012 ◽  
Vol 23 (5) ◽  
pp. 546-565 ◽  
Author(s):  
Alexander Nock ◽  
Udechukwu Ojiako ◽  
Tolga Bektas ◽  
Max Chipulu
Keyword(s):  
Energy Production ◽  
Assessment Model ◽  
Efficient Energy ◽  
Feasibility Assessment
Sign in / Sign up

Export Citation Format

Share Document