Jin-Young KimKorea Institute of Energy Research | KIER · New and Renewable Resource Laboratory
Jin-Young Kim
Doctor of Philosophy
About
60
Publications
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Introduction
Development of renewable energy resource map and resource assessment
Publications
Publications (60)
The Republic of Korea (ROK) has set an ambitious goal of 40.7 GW of onshore and offshore wind farms by 2038, as outlined in the "11th Basic Plan for Electricity Supply and Demand" in May 2024. To achieve this target, both wind farm developers and the government are crafting policies for "Project Site Planning" and "Offshore Wind Farm Clusters." A m...
Offshore wind resource maps are the primary data for wind power project, national renewable energy supply policy, and
power grid planning. In this study, we discussed trends in wind resource map production technology. A survey has been performed
focusing on production technology and application status of wind resource maps for the representative co...
A study was conducted to analyze data from 1981 to 2020 for understanding the impact of climate on solar energy generation. A significant increase of 104.6 kWhm-2 was observed in the annual cumulative solar radiation over this period. Notably,the distribution of solar radiation shifted, with the solar radiation in Busan rising from the seventh plac...
As renewable energy generation prediction systems have been introduced into the energy trading market, accurate prediction of solar photovoltaic (PV) energy generation has become a crucial challenge for ensuring stable trade of variable energy. Therefore, it is essential to quantitatively investigate and analyze current prediction technology and de...
As renewable energy generation prediction system has been introduced into the energy trading market, making a model to accurately predict the quantity of solar photovoltaic (PV) energy generation has become a significant problem. Moreover, to encourage an accurate prediction of the quantity of energy generation, an incentive system has been impleme...
In response to the national policy for the reduction of CO2 gas emissions and the dissemination of renewable energy resource facilities, the disseminated capacity of wind turbines is steadily expanding in Korea. However, to facilitate more realistic national dissemination planning, a more scientific basis for domestic wind potential and actual inst...
The distribution of onshore wind power generation in Korea is being delayed, and location problems are considered as the primary cause. To solve this problem, an onshore wind power siting atlas has been developed, which shows the environment, forest, and resource location of onshore wind power overall. The local government may determine matters reg...
Renewable energy supply is essential for carbon neutrality; however, technologies aiming to optimally utilize renewable energy sources remain insufficient. Seasonal variability in renewable energy is a key issue, which many studies have attempted to overcome through operating systems and energy storage. Currently, hydrogen is the only technology th...
Renewable energy forecasting is a key for efficient resource use in terms of power generation and safe grid control. In this study, we investigated a short-term statistical forecasting model with 1 to 3 h horizons using photovoltaic operation data from 215 power plants throughout South Korea. A vector autoregression (VAR) model-based regional photo...
In this study, the spatio-temporal characteristics of long-term variability of wind speed over the Korean Peninsula in the 21st century were analyzed using RCP and SSP climate change scenario data. The spatial distribution of the average wind speed in the 21st century showed that the wind speed in the sea area was about twice that of the land area,...
Owing to the continuously improving spatial resolution and accuracy of the reanalysis data, a site adaptation case study was performed for the prediction of wind farm power output using ERA5, the 5th generation reanalysis data. The wind speed of the reanalysis data was substituted into the performance curve of the wind turbine by altitude and topog...
The accurate and timely depiction of the state of severe weather is critical for enhancing forecaster situational awareness. This study attempted to develop a hurricane forecasting model with a warm-start run and investigated the impact of winds observed during a tropical cyclone on long-term lead times. The Hurricane Research System initialized wi...
The cover image is based on the Research Article Machine learning‐based statistical downscaling of wind resource maps using multi‐resolution topographical data by Myeongchan Oh et al., https://doi.org/10.1002/we.2718.
To be feasible, a master plan for renewable energy development should be based on reliable resource assessments. In particular, to reach carbon neutrality, long-term renewable energy potential prospects by 2050 are required. Such assessment is key to establish a future resource model by defining a proper future prospect scenario with regard to the...
An accurate prediction of the wind energy production is essential in the initial design process of wind farms. Many researchers use meteorological data obtained from Numerical Weather Prediction (NWP) methods to predict wind energy production. The NWP method does not consider the influence of local topography and surface roughness on wind condition...
The need for high-resolution wind resource maps is increasing with the increase in the supply and development of wind power. Many physical downscaling models have been developed and applied to make these maps. However, as the existing models require extensive computations and time, statistical models with higher efficiency are being studied. Statis...
With the development of solar power generation, the importance of direct normal irradiance is being emphasized. Therefore, previous studies have examined numerous separation models for calculating direct and diffuse irradiance from global horizontal irradiance. These models have recently been applied to data in 1-min units. These have more informat...
In order to realize carbon neutrality, Korean Government is promoting the development of renewable energy with a focus on solar power and wind power. However, the development of wind power is delayed compared to that of solar power for which the achievements have exceeded the targets. When it comes to onshore wind power, development has been delaye...
In order to achieve carbon neutrality by 2050, a huge amount of renewable power will be installed to substitute for fossil-fueled power. Since there is a big risk that global climate oscillations may cause large fluctuations in renewable power generation, this study analyzed the correlation between wind resources on the Korean Peninsula and global...
Although the reanalysis data has low spatial resolution, it can be used for long-term correction of wind resources and high-resolution downscaling in conjunction with numerical weather prediction or computational fluid dynamics. In this study, regression analysis of the global wind speed as a function of topographic factors was carried out, and the...
To assess wind resources in a given area, it is necessary to select a representative measurement point by identifying a wind zone where the wind resource characteristics are homogeneous. In this study, to identify the spatial homogeneity of wind resources, it was necessary to test several similarity measures for clustering analysis, such as time-se...
The Korea Institute of Energy Research builds Korean solar irradiance datasets, using gridded solar insolation estimates derived using the University of Arizona solar irradiance based on Satellite-Korea Institute of Energy Research (UASIBS-KIER) model, with the incorporation of geostationary satellites over the Korean Peninsula, from 1996 to 2019....
The typical meteorological year (TMY) is a key element in the long-term performance predictions of photovoltaic systems. However, there is a loss of some hourly measured weather data during the formation of the TMY dataset owing to a lack of observations. Therefore, various statistical techniques or satellite observations can be utilized to address...
In order to advance the onshore wind energy siting atlas, we developed the national wind resource classification map using ultra-high resolution wind resource maps and market economics models. The wind resource map was classified into fair and poor class suggesting presence or absence of economic feasibility, and good class in fair class was additi...
In order to solve the problem of site compatibility, which is the biggest obstacle that delays the dissemination of onshore wind energy, the onshore wind energy siting atlas was developed. This study describes mapping and sensibility analysis of candidate sites based on the site suitability classification of wind resource, 24 environmental regulati...
This study analyzed the performance decline of wind turbine with age using the SCADA (Supervisory Control And Data Acquisition) data and the short-term in situ LiDAR (Light Detection and Ranging) measurements taken at the Shinan wind farm located on the coast of Bigeumdo Island in the southwestern sea of South Korea. Existing methods have generally...
We evaluated the forecast performance of solar radiation on the Korean Peninsula from the solar radiation data provided by the UASIBS-KIER model of KIER with the solar radiation forecast data generated by the GFS model of the NCEP. In this study, the spatial and temporal downscaling of the GFS model, a cumulative solar radiation forecast model per...
Typical meteorological year (TMY) data has significant importance for solar resource assessment, as well as for building performance analysis. The necessity of high-accuracy TMY data has been well known for many years for the financial viability of solar long-term planing project as it represents long-term weather features. However, the TMY does no...
Optimization of photovoltaic (PV) panel orientation is a significant part of economic evaluation. However, designing a PV system according to only one theoretical optimal orientation is challenging. Installing a PV panel at a specific orientation can cause low economic efficiency, depending on the features of the area. Therefore, in this study, a n...
Day ahead forecast is necessary for the electricity market to stabilize the electricity penetration. Numerical weather prediction is usually employed to produce the solar irradiance as well as electric power forecast for longer than 12 hours forecast horizon. Korea Meteorological Administration operates the UM-LDAPS model to produce the 36 hours fo...
Onshore wind resource maps are the primary data for wind farm site prospecting, national renewable energy supply policy and power system network design development. This study discusses appropriate service levels in terms of elements and spatiotemporal resolution in wind resource maps, with a view to improving the wind resource map service in Korea...
An UM-WRF numerical weather prediction system was established accommodating Korea Meteorological Agency’s regional/local data assimilation and prediction system, then the wind resource map of the Korean Peninsular for 2010~2018 was produced to analyze inter-annual variability of wind resource. The reliability of the map was validated by comparing w...
By blocking irradiance, shadows cast by high-rise buildings in urban areas can reduce the power generation efficiency of PV panels installed on low-rise buildings. As the conventionally installed PV panel is not suitable for the urban environment, which is unfavorable for power generating, a more radical solution is required. This study aims to hel...
This study estimated the available renewable market potential based on Levelized Cost Of Electricity and then assessed the renewable derived energy self-sufficiency for the unit of local government in South Korea. To calculate energy self-sufficiency, 1 km gridded market renewable generation and local government scale of final energy consumption da...
In this paper, a very new web-based software for renewable energy system (RES) design and economic evaluation was introduced. This solution would provide the precise RES estimation service including not only photovoltaic (PV), wind turbine (WT) and fuel cell (FC) individually but also energy storage system (ESS) as combined forms with PV or WT. The...
The proportion of solar photovoltaic power generation has steadily increased in the power trade market. Solar energy forecast is highly important for the stable trade of volatile solar energy in the existing power trade market, and it is necessary to identify accurately any forecast error according to the forecast lead time. This paper analyzes the...
Although the size of the wind turbine has become larger to improve the economic feasibility of wind power generation, whether increases in rotor diameter and hub height always lead to the optimization of energy cost remains to be seen. This paper proposes an algorithm that calculates the optimized hub height to minimize the cost of energy (COE) usi...
The renewable energy potentials for the country are very important information for the national renewable energy policy and decision-making. This study investigated the technic-economic potential on the solar thermal technology, three different absorbers (compound parabolic collector, linear Fresnel collector and parabolic trough collector) in Sout...
New and renewable energy forecasts are key technology to reduce the annual operating cost of new and renewable facilities, and accuracy of forecasts is paramount. In this study, we intend to build a model for the prediction of short-term solar power generation for 1 hour to 3 hours. To this end, this study applied two time series technique, ARIMA m...
Daejeon Metropolitan City and the Korea Institute of Energy Research (KIER) have developed a platform with the Solar Energy Estimator for Daejeon (SEED) for Daejeon citizens and solar power generation companies according to the government plan to expand new and renewable energy. Developed through four phases, the platform can calculate the solar ir...
For the preliminary step for estimating the performance of roof-type photovoltaic system in urban areas, we analyzed the solar radiation reduction ratio by shadow effect by buildings using DSM (Digital Surface Model) and GIS (Geographical Information System) tools. An average loss by the shadow is about 19% in Seoul. The result was related to the b...
A statistical analysis of the power generation records of the Sinan Wind Power Plant located on the coast of Korea on the South Sea was carried out for an overview of ramp characteristics. It was found that up-ramp and down-ramp showed similar patterns such as the same probability of occurrence and ramp rate distribution. The probability of a signi...
Third-generation reanalysis data such as CFSR, ERA-Interim, and MERRA, which have improved spatial resolution and accuracy by assimilating satellite observation data, are widely used for the long-term correction of wind resource assessments. However, there is no obvious criterion for the selection of datasets, and the reported accuracy from actual...
This study evaluated the applicability of long-term datasets among third-generation reanalysis data CFSR, ERA-Interim, MERRA, and MERRA-2 to determine which dataset is more suitable when performing wind resource assessment for the ‘Southwest 2.5 GW Offshore Wind Power Project’, which is currently underway strategically in South Korea. The evaluatio...
Wind power forecasting is a key role for large-scale wind power penetration on conventional electric power systems by understanding stochastic nature of winds. This paper proposes an empirical statistical model for forecasting monthly offshore wind speeds as a function of remotely sensed sea surface temperatures over the seas around the Korean Peni...
The South Korean government has been started monitoring and reassessment for new and renewable resource under greenhouse reduction related with the climate agreement in Paris. This study investigated characteristics of the model-derived direct normal irradiance(DNI) using ten-minute data of the Weather Research and Forecasting(WRF) model with 1 km...
In South Korea, where 64% of the national territory is mountainous, good wind resources in inland areas are mostly situated in high mountain regions. To develop a wind farm in a mountain region, the sloping of mountains and their shielding from wind by the surrounding topology should be considered. It is generally most advantageous to install wind...
Wind resource potential is calculated by multiplying an area where a wind farm can be developed by wind turbine capacity density. Therefore, the wind turbine capacity density of wind farms in Korea must be calculated precisely first, in order to accurately calculate wind resource potential in Korea. In the present study, of the 67 total wind farms...
The importance of wind energy has been increasing. Most of countries have studied for generating effective forecasting models about wind power prediction. This study follows up research about statistical wind forecasting models from 2000 to 2016 and compares each model in several aspects. Variety of estimators measure such as mean squared error and...
Improvement of a simple and practical Ensemble Prediction System (EPS) based on multi-models for wind power forecasting was performed by optimizing ensemble member combinations. Three types of ensemble methods have been compared; multi-models, multi-physics and hybrid ensemble. Multi-models were composed of four different numerical weather predicti...
For accurate wind resource assessment and wind turbine performance test, it is essential to secure wind data covering a rotor plane of wind turbine including a hub height. In general, we can depict wind speed profile by extrapolating or interpolating the wind speed data measured from a meteorological tower where multiple anemometers are mounted at...
A simple but practical Ensemble Prediction System(EPS) for wind power forecasting was developed and evaluated using the measurement of the offshore meteorological tower, HeMOSU-1(Herald of Meteorological and Oceanographic Special Unite-1) installed at the Southwest Offshore in South Korea. The EPS developed by the Korea Institute of Energy Research...
This study aims at examining the performance of the WRF(Weather Research and Forecasting) mesoscale model in surface wind simulations using different surface drag parameterization schemes and spatial resolutions. The effects of surface wind-speed correction were investigated through experimentation targeting the Korean Peninsula, which has a comple...
In this study, we investigate the spatial and temporal characteristics of long-term (1982–2011) wind measurements over South Korea. First, ground-based measurements are adjusted to standard 10 m above ground level using a modified wind-profile power law, to account for wind variation in the actual measurement height. Then, wind climatology, variabi...
This study investigated multi-decadal variability in the wind resource over the Republic of Korea using the Weather Research and Forecasting (WRF) mesoscale meteorological model. Mesoscale simulations were performed for the period from November 1981 to November 2010. The typical wind climatology over the Korean Peninsula, which is influenced by bot...
Wind speed is an important meteorological variable for various scientific communities. In this study, numerical mesoscale simulations were performed over the Republic of Korea in 2006, to produce wind information distributed homogeneously with space. Then, an attempt was made to statistically correct the simulated nearsurface wind speed using remot...