Myeongchan Oh

• PhD
• PostDoc Position at Korea Institute of Energy Research

This study explored the potential and implementation of renewable energy sources in Sri Lanka, focusing on the theoretical potential of solar and wind energy to develop self-reliant energy models. Using advanced climate data from the European Centre for Medium-Range Weather Forecasts and Global Solar/Wind Atlas provided by the World Bank, we assess...

Forecasting techniques for solar and wind energy are essential for controlling their variability and are being heavily researched. However, regional differences in predictability in these forecast models have rarely been studied. Regional differences refer to differences in forecast performance based on location. In this study, regional differences...

Site adaptation has become a necessary step in resource assessment for ensuring the bankability of a renewable energy project. The process involves collecting short-term observation data to correct the long-term dataset available from the satellite-derived models, which could thus provide a more accurate estimate of the solar resource data. This st...

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...

The spectral mismatch factor for solar cells quantifies their relative performance in converting solar irradiance between the incident and reference solar spectra into electricity. This study attempted to evaluate the spectral mismatch factor for eight types of solar cells and investigate their sensitivity to changes in the solar spectral irradianc...

Satellite imagery-based solar irradiance mapping studies are essential for large-scale solar energy assessments but are limited in spatial resolution and accuracy. Despite efforts to increase map resolution by correcting inaccuracies caused by shadows on the terrain, the computational time of these models and the massive volume of generated data st...

To cope with the fluctuating and irregular production of solar electricity, a renewable energy generation prediction system, which gives incentives when the forecast error is low, was implemented in Korea in October 2021. Most previous studies have focused on predicting solar irradiance, rather than power output. Physical models are used when the r...

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...

Satellite-derived solar irradiance is advantageous in solar resource assessment due to its high spatiotemporal availability, but its discrepancies to ground-observed values remain an issue for reliability. Site adaptation can be employed to correct these errors by using short-term high-quality ground-observed values. Recent studies have highlighted...

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.

With the accelerated development of science and technology across fields, publications in almost all fields have increased exponentially every year. According to the Scopus search, the number of papers related to buildings and solar energy that used machine learning has grown at an average annual rate of 16.1%, exceeding 3000 publications since 201...

Mining and related industries account for approximately 14% of North Korea’s total economy and there are approximately 700 mines in North Korea. However, large-scale mining becomes difficult due to the deterioration of production and mining facilities and the increasing depth of veins. Another important problem is the low power supply from old faci...

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 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...

Solar forecasting is essential for optimizing the integration of solar photovoltaic energy into a power grid. This study presents solar forecasting models based on satellite imagery. The cloud motion vector (CMV) model is the most popular satellite-image-based solar forecasting model. However, it assumes constant cloud states, and its accuracy is,...

The research topics of more than 1,900 wind energy papers registered in the Korean Journal Citation Index (KCI) were modeled into 25 topics using latent directory allocation (LDA), and their consistency was cross-validated through principal component analysis (PCA) of the document word matrix. Key research topics in the wind energy field were ident...

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...

North Korea has abundant mineral resources and a significant number of mines, however, their infrastructures need to be renewed because they are old and inefficient. Before constructing new infrastructures or renovating existing ones near the mines, it is essential to assess the landslide susceptibility. Satellite images and digital elevation map (...

The photovoltaic industry has experienced rapid growth due to the decrease in price of solar panels and various incentive policies. However, it is not widely utilized as a source of energy for transportation. Studies on photovoltaic potential are required for their use in solar vehicles; they exhibit high potential given the development of solar pa...

The power capacity of solar photovoltaics (PVs) in Korea has grown dramatically in recent years, and an accurate estimation of solar resources is crucial for the efficient management of these solar PV systems. Since the number of solar irradiance measurement sites is insufficient for Korea, satellite images can be useful sources for estimating sola...

University campuses accommodate large numbers of people and are suitable places to organize a microgrid. The solar potential in the university area is estimated and the optimal orientation of solar panels is presented in this study. The optimal orientation is analyzed considering temporal volatility to increase the stability of the grid. Several va...

The ability to estimate solar irradiance is necessary for efficient installation and management of solar photovoltaic systems. Weather observation data and Communication, Ocean and Meteorological Satellite (COMS) images were used to estimate solar irradiance at 94 Korea Meteorological Administration (KMA) weather stations. First, Korea was divided...

Photovoltaic (PV) energy is one of the most promising renewable energies in the world due to its ubiquity and sustainability. However, installation of solar panels on the ground can cause some problems, especially in countries where there is not enough space for installation. As an alternative, floating PV, with advantages in terms of efficiency an...

The purpose of this study is to identify the landslide hazard at the Gumdeok zinc mine, which is an important factor for the construction of infrastructure there if South Korea and North Korea cooperate for the extraction of mineral resources. Because field survey around the mine is impossible, the landslide risk was analyzed using satellite images...

The efficiency of solar potential mapping is becoming increasingly important as solar energy technologies further develop. As digital surface models (DSMs) with improved spatial resolution become more available, the efficiency and accuracy of calculating solar potential need to be better improved. This study analyzes the algorithms available for ca...