Prototype large-scale renewable energy system optimisation for Victoria, Australia

Huva, Robert; Dargaville, Roger; Caine, Simon

doi:10.1016/j.energy.2012.03.009

Cited by 30 publications

(8 citation statements)

References 10 publications

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“…This spin-up period is discarded and not used in subsequent analyses. Typical spin up times vary from 2 to 3 [38,39], 6 [16,40], 12 h [41,42] to 24 h [31] and could extend to days [37].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago

2017

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Numerical wind mapping is currently the wind power industry's standard for preliminary assessments for sites of good wind resources. Of the various available numerical models, numerical weather prediction (NWP) models are best suited for modeling mesoscale wind flows across small islands. In this study, the Weather Research and Forecast (WRF) NWP model was optimized for simulating the wind resources of the Caribbean islands of Trinidad and Tobago in terms of spin-up period for developing mesoscale features, the input initial and boundary conditions, and the planetary boundary layer (PBL) parameterizations. Hourly model simulations of wind speed and wind direction for a one-month period were compared with corresponding 10 m level wind observations. The National Center for Environmental Prediction (NCEP)-Department of Energy (DOE) reanalysis of 1.875 • horizontal resolution was found to be better suited to provide initial and boundary conditions (ICBCs) over the 1 • resolution NCEP final analysis (FNL); 86% of modeled wind speeds were within ±2 m/s of measured values at two locations when the coarse resolution NCEP reanalysis was used as compared with 55-64% of modeled wind speeds derived from FNL. Among seven PBL schemes tested, the Yonsei University PBL scheme with topographic drag enabled minimizes the spatial error in wind speed (mean bias error +0.16 m/s, root-mean-square error 1.53 m/s and mean absolute error 1.21 m/s) and is capable of modeling the bimodal wind speed histogram. These sensitivity tests provide a suitable configuration for the WRF model for mapping the wind resources over Trinidad and Tobago, which is a factor in developing a wind energy sector in these islands.

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“…This spin-up period is discarded and not used in subsequent analyses. Typical spin up times vary from 2 to 3 [38,39], 6 [16,40], 12 h [41,42] to 24 h [31] and could extend to days [37].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago

2017

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“…Liu et al [13] established a mathematical model of dynamic energy system based on superior control theories, and analyzed the superior strategy for the replacement of renewable energy on fossil energy. Huva et al [14] presented results from a prototype renewable energy network optimization model, and estimated potential power output for various combinations of wind and solar farms across a large domain of several hundred kilometers and calculated the required back-up power capacity needed to meet demand. Motaz Amer [15] presented a method for the optimization of the power generated from a Hybrid Renewable Energy Systems in order to achieve the load of typical house as example of load demand.…”

Section: Introductionmentioning

confidence: 99%

Optimization of China's energy structure based on portfolio theory

Gao

Sun

Shen

et al. 2014

Energy

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“…Energies 2018, 11, x FOR PEER REVIEW 2 of 23 electric power system in Japan, electric power generation is dominated by thermal power plants. The daily startup or shut down schedules of thermal power plants are planned a day prior to the target day, and these plants can absorb changes in demand (Huva et al [10]; Udagawa et al [11,12], TEPCO website [13]). Achieving an adaptable supply of electric power and minimizing the total costs of electric power control are the most essential aims of electric power companies.…”

Section: Introductionmentioning

confidence: 99%

Outlier Events of Solar Forecasts for Regional Power Grid in Japan Using JMA Mesoscale Model

et al. 2018

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To realize the safety control of electric power systems under high penetration of photovoltaic power systems, accurate global horizontal irradiance (GHI) forecasts using numerical weather prediction models (NWP) are becoming increasingly important. The objective of this study is to understand meteorological characteristics pertaining to large errors (i.e., outlier events) of GHI day-ahead forecasts obtained from the Japan Meteorological Agency, for nine electric power areas during four years from 2014 to 2017. Under outlier events in GHI day-ahead forecasts, several sea-level pressure (SLP) patterns were found in 80 events during the four years; (a) a western edge of anticyclone over the Pacific Ocean (frequency per 80 outlier events; 48.8%), (b) stationary fronts (20.0%), (c) a synoptic-scale cyclone (18.8%), and (d) typhoons (tropical cyclones) (8.8%) around the Japanese islands. In this study, the four case studies of the worst outlier events were performed. A remarkable SLP pattern was the case of the western edge of anticyclone over the Pacific Ocean around Japan. The comparison between regionally integrated GHI day-ahead forecast errors and cloudiness forecasts suggests that the issue of accuracy of cloud forecasts in high- and mid-levels troposphere in NWPs will remain in the future.

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Prototype large-scale renewable energy system optimisation for Victoria, Australia

Cited by 30 publications

References 10 publications

Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago

Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago

Optimization of China's energy structure based on portfolio theory

Outlier Events of Solar Forecasts for Regional Power Grid in Japan Using JMA Mesoscale Model

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