The Project is for an Energy Analytics class, to be done in R. I don't know how to attach the csv data files to chegg, but if i can just get code and fill in file paths myself into the code, that would help! Need wind speed data and distributions as well, I think different distributions need to be compared to see which is best. (Weibull, Normal, gamma, cauchy etc) Thank you! Need this ASAP, hopefully in the next 2-3 hours.
MECH 4V95: Energy Analytics Project #1 Wind Resource Assessment Motivation Win resource assessment and siting depend on a number of factors, such as available resource, turbulence characteristics, terrain and roughness, and others. It is critically important to understand how we accurately predict and model the wind conditions, and evaluate the uncertainty in the wind resource and energy production at a farm site. This project will explore key techniques in wind resource assessment: (1) distribution of wind speed, (2) measure- correlate-prediction, and (3) distribution of wind power. Assignment The historical dataset of site A and site B has been uploaded to eLearning. The dataset contains every five minutes data of site A for the year 2008-2012, and site B for year 2012, including .Wind speed at 100 m (m/s) Wind power (MW) Other meteorological parameters, including: wind direction at 100 m (deg), air temperature at 2m (K), surface air pressure (Pa), and density at hub height (kg/m*) Requirements: Your assignment is to Generate wind speed data of site B for Years 2008-2011 Generate distribution of wind speed of each individual year, and also all 5 years for both site A and site B. Please compare multiple distributions and compare them, then determine the most accurate onc Generate the distribution of wind power of site A, for cach individual year and also all5 years. Please compare multiple distributions and compare them, then determine the most accurate one . . . * Submit a technical report of the project to summarize the methods, results, and findings. * Submit a .csv file to list the generated wind speed data of site B for years 2008-2011 You can use the following papers as references Zhang, J., Chowdhury, S., Messac, A. and Castillo, L., A Multivariate and Multimodal Wind Distribution Model, Renewable Energy, Vol. 51, 2013, pp. 436-447 Carta, Jos A., Penelope Ramirez, and Celia Bueno. "A joint probability density function of wind speed and direction for wind energy analysis." Energy Conversion and Management 49.6 (2008): 1309-1320 Zhang, J., Chowdhury, S., Messac, A. and Hodge, B.-M., A Hybrid Measure-Correlate Predict Method for Long-Term Wind Condition Assessment, Energy Conversion and Management, Vol. 87, 2014, pp. 697-710 Gomez-Lazaro, E., Bueso, M. C., Kessler, M., Martin-Martinez, S., Zhang, J., Hodge, B . M. and Molina-Garcia, A., Probability Density Function Characterization for Aggregated Large-Scale Wind Power based on Weibull Mixtures, Energies, Vol. 9, Issue 2, 2016, pp 91 Rogers, Anthony L., John W. Rogers, and James F. Manwell. "Comparison of the performance of four measure-correlate-predict algorithms." Journal of wind engineering and industrial acrodynamics 93.3 (2005): 243-264 Carta, Jos A., Sergio Velzquez, and Pedro Cabrera. "A review of measure-correlate predict (MCP) methods used to estimate long-term wind characteristics at a target site." Renewable and Sustainable Energy Reviews 27 (2013): 362-400 Formatting Your forecasting report should be completed in the IEEE Transactions format, with a maximum page length of 5 (two-columned) pages. You can download a Microsoft Word or LaTeX template https://www.ieee.org/publications standards publications/authors/author templates.html References should follow the IEEE reference styles indicated in the template. It is recommended that you utilize a reference management program, such as EndNote, Bib, Mendeley, or Zotera. at: Important Dates and Submission Procedures The final version of the assignment is due as a hard copy at the beginning of the class on Monday, February 18. Please also provide an electronic copy before class through e-Learning If you are unable to attend on this date, please arrange for an electronic only submission (please copy both the instructor and grader) with the instructor in advance radi 1. Successfully generate Site B wind speed data: 15 points. 2. Accuracy of MCP generation: 10 points. 3. Fit 1 type of distribution of wind speed distribution: 10 points 4. Compare multiple types of wind speed distribution and determine the best one: 20 points 5. Fit 1 type of distribution of wind power distribution: 10 points 6. Compare multiple types of wind power distribution and determine the best one: 20 points. 7. Figure and table qualty: 10 points 8. Report structure and neatness: 5 points. MECH 4V95: Energy Analytics Project #1 Wind Resource Assessment Motivation Win resource assessment and siting depend on a number of factors, such as available resource, turbulence characteristics, terrain and roughness, and others. It is critically important to understand how we accurately predict and model the wind conditions, and evaluate the uncertainty in the wind resource and energy production at a farm site. This project will explore key techniques in wind resource assessment: (1) distribution of wind speed, (2) measure- correlate-prediction, and (3) distribution of wind power. Assignment The historical dataset of site A and site B has been uploaded to eLearning. The dataset contains every five minutes data of site A for the year 2008-2012, and site B for year 2012, including .Wind speed at 100 m (m/s) Wind power (MW) Other meteorological parameters, including: wind direction at 100 m (deg), air temperature at 2m (K), surface air pressure (Pa), and density at hub height (kg/m*) Requirements: Your assignment is to Generate wind speed data of site B for Years 2008-2011 Generate distribution of wind speed of each individual year, and also all 5 years for both site A and site B. Please compare multiple distributions and compare them, then determine the most accurate onc Generate the distribution of wind power of site A, for cach individual year and also all5 years. Please compare multiple distributions and compare them, then determine the most accurate one . . . * Submit a technical report of the project to summarize the methods, results, and findings. * Submit a .csv file to list the generated wind speed data of site B for years 2008-2011 You can use the following papers as references Zhang, J., Chowdhury, S., Messac, A. and Castillo, L., A Multivariate and Multimodal Wind Distribution Model, Renewable Energy, Vol. 51, 2013, pp. 436-447 Carta, Jos A., Penelope Ramirez, and Celia Bueno. "A joint probability density function of wind speed and direction for wind energy analysis." Energy Conversion and Management 49.6 (2008): 1309-1320 Zhang, J., Chowdhury, S., Messac, A. and Hodge, B.-M., A Hybrid Measure-Correlate Predict Method for Long-Term Wind Condition Assessment, Energy Conversion and Management, Vol. 87, 2014, pp. 697-710 Gomez-Lazaro, E., Bueso, M. C., Kessler, M., Martin-Martinez, S., Zhang, J., Hodge, B . M. and Molina-Garcia, A., Probability Density Function Characterization for Aggregated Large-Scale Wind Power based on Weibull Mixtures, Energies, Vol. 9, Issue 2, 2016, pp 91 Rogers, Anthony L., John W. Rogers, and James F. Manwell. "Comparison of the performance of four measure-correlate-predict algorithms." Journal of wind engineering and industrial acrodynamics 93.3 (2005): 243-264 Carta, Jos A., Sergio Velzquez, and Pedro Cabrera. "A review of measure-correlate predict (MCP) methods used to estimate long-term wind characteristics at a target site." Renewable and Sustainable Energy Reviews 27 (2013): 362-400 Formatting Your forecasting report should be completed in the IEEE Transactions format, with a maximum page length of 5 (two-columned) pages. You can download a Microsoft Word or LaTeX template https://www.ieee.org/publications standards publications/authors/author templates.html References should follow the IEEE reference styles indicated in the template. It is recommended that you utilize a reference management program, such as EndNote, Bib, Mendeley, or Zotera. at: Important Dates and Submission Procedures The final version of the assignment is due as a hard copy at the beginning of the class on Monday, February 18. Please also provide an electronic copy before class through e-Learning If you are unable to attend on this date, please arrange for an electronic only submission (please copy both the instructor and grader) with the instructor in advance radi 1. Successfully generate Site B wind speed data: 15 points. 2. Accuracy of MCP generation: 10 points. 3. Fit 1 type of distribution of wind speed distribution: 10 points 4. Compare multiple types of wind speed distribution and determine the best one: 20 points 5. Fit 1 type of distribution of wind power distribution: 10 points 6. Compare multiple types of wind power distribution and determine the best one: 20 points. 7. Figure and table qualty: 10 points 8. Report structure and neatness: 5 points
