Solar Power Generation Facilities Research Articles

A Study on Predicting Installation Scale of Photovoltaic Panels and Hydrogen Fuel Storage Facilities to Achieve Net Zero Carbon Emissions Exploiting Idle Sites of Military Bases

In this study, the scale of renewable photovoltaic(PV) panels and hydrogen fuel storage facilities required to achieve “net zero carbon emissions” in military facilities were predicted based on actual electricity consumption. It was set up to expect the appropriate installation size of PV panel and hydrogen fuel storage facility for achieving carbon neutrality, limited to the electricity consumption in the public sector, including national defense and social security administration in Yeongcheon. The experimental results of this paper are largely composed of two parts. First, representative meteorological factors were considered to predict solar power generation in the Yeongcheon area, and solar power generation was estimated through a multiple regression model using deep learning techniques. Second, the size of solar power generation facilities and hydrogen storage facilities in military bases was estimated with the amount of solar power generation and electricity consumption. As a result of this analysis, it was calculated that a site of 155.76×104 m<sup>2</sup> for PV panels was needed and a facility capable of storing 27,657 kg of hydrogen gas was required. Through these results, it is meaningful to demonstrated the prospect that military units can lead the achievement of “carbon net zero 2050” by using PV panels and hydrogen fuel storage facilities on idle sites of military bases.

Integration of the Machine Learning Algorithms and I-MR Statistical Process Control for Solar Energy

The importance of solar power generation facilities, as one of the renewable energy types, is increasing daily. This study proposes a two-way validation approach to verify the validity of the forecast data by integrating solar energy production quantity with machine learning (ML) and I-MR statistical process control (SPC) charts. The estimation data for the amount of solar energy production were obtained by using random forest (RF), linear regression (LR), gradient boosting (GB), and adaptive boost or AdaBoost (AB) algorithms from ML models. Data belonging to eight independent variables consisting of environmental and geographical factors were used. This study consists of approximately two years of data on the amount of solar energy production for 636 days. The study consisted of three stages: First, descriptive statistics and analysis of variance tests of the dependent and independent variables were performed. In the second stage of the method, estimation data for the amount of solar energy production, representing the dependent variable, were obtained from AB, RF, GB, and LR algorithms and ML models. The AB algorithm performed best among the ML models, with the lowest RMSE, MSE, and MAE values and the highest R2 value for the forecast data. For the estimation phase of the AB algorithm, the RMSE, MSE, MAE, and R2 values were calculated as 0.328, 0.107, 0.134, and 0.909, respectively. The RF algorithm performed worst with performance scores for the prediction data. The RMSE, MSE, MAE, and R2 values of the RF algorithm were calculated as 0.685, 0.469, 0.503, and 0.623, respectively. In the last stage, the estimation data were tested with I-MR control charts, one of the statistical control tools. At the end of all phases, this study aimed to validate the results obtained by integrating the two techniques. Therefore, this study offers a critical perspective to demonstrate a two-way verification approach to whether a system’s forecast data are under control for the future.

Assessment of Landslide Risk Near Mountain Power Generation Facilities in Korea

Rising greenhouse gases fuel global warming, triggering disasters like droughts, floods, and landslides. Efforts to reduce emissions and combat climate change focus on renewable energy (wind, wave, hydrogen, and solar). However, rapid expansion of solar facilities in mountainous regions, coupled with unchecked logging, intensifies landslides and environmental pollution. Therefore, in this study, the risk of installed solar power generation facilities was evaluated based on the precipitation in a year and rainy season only, and topographical characteristics. The annual cumulative precipitation and rainy season were calculated for 2020, and the risk of landslides caused by rainfall was evaluated through correlation with the annual landslide area. As of 2020, more than 50% of landslides occurred in the areas having a slope range of 30 - 60% and the landslide damage area was also highly correlated with the precipitation during the rainy season (R2 = 0.74). Prior to the installation of solar power generation facilities in the steep mountainous area, more strict and appropriate verification must be done. Additionally, a systematic management plan of solar power generation facilities should be investigated in a permission process.Landslide risk of mountainous solar power generation facilities versus precipitation.

계절적 특성을 고려한 재생에너지 잉여전력 분석에 관한 연구

In this paper, we propose a new method to analyze how much surplus renewable energy will occur in what pattern. The difference from existing analysis methods is that seasonal surplus renewable energy patterns can be analyzed. A case study was conducted based on the carbon neutrality scenario in 2050, and it was found that 513.9[TWh] of surplus power was generated. This is because the proportion of solar power generation facilities in Korea

주차장 · 옥상 유휴부지를 활용한 태양광발전 비용편익 분석

Purpose This study aims to analyzing of solar power generation cost-benefit. Design/methodology/approach - We analyzed whether there is economic feasibility by selecting parking lots and idle sites located in four areas of Seoul, Gyeonggi, Chungcheong, Jeolla, and Gyeongsang areas nationwide, and analyzing site conditions and installation capacity. Findings - According to the results of the analysis, it was found that there is low profitability in Seoul, Gyeonggi and Chungcheong regions, where the solar radiation was not excellent even if REC is selected through the contract market. However, it is necessary to analyzed the economical validity the profitable validity including environmental benefits (greenhouse gas reduction, NOx, SOx reduction effect) and social benefits (renewable power supply) that is analyzed by income and operating costs which is occurred from electricity sales and REC sales when installing solar power generation facilities. Research implications or Originality - In this study, economic feasibility was evaluated additionally in consideration of environmental and social benefits. In conclusion, it was shown that businesses are not economical when considering only simple financial aspects are also sufficiently economical when it is considering environmental and social benefits.

농촌 공간 환경영향요인 분석을 위한 무인항공기 적용 가능성에 관한 실험적 연구 - 홍성군 갈산면의 태양광 발전시설과 빈집을 중심으로 -

Rural spaces are increasingly valuable as areas for introducing renewable energy infrastructure to achieve carbon neutrality. Rural areas are the living grounds of rural residents, and the balance of conservation and development for rural areas is important for the introduction of reasonable facilities. In order to maintain a balance between development and preservation and to introduce reasonable renewable energy facilities, it is necessary to develop a current status survey and an effective survey method to utilize a space capable of introducing renewable energy facilities such as idle land and vacant houses. Therefore, this study was conducted to verify the readability using an unmanned aerial vehicle, and the main results are as follows. The detection of photovoltaic power generation facilities using unmanned aerial vehicles was effective in analyzing the location and area of photovoltaic panels located on the roofs of buildings, and it was possible to calculate the expected power generation by region through the area calculation of photovoltaic panels. The vacant house detection can be used to select an investigation target for an vacant house condition survey as it can identify damage to buildings that are expected to be empty houses, management status, and electricity supply facilities through aerial photos. It is judged that the unmanned aerial vehicle detection capability can be utilized as a method to improve the efficiency of investigation and supplement the data related to solar power generation facilities and vacant houses provided by public institutions. Although this study detected the status of solar power generation facilities and vacant houses through high-resolution aerial image analysis, as a follow-up study, automatic measurement methods using the temperature difference of solar power generation facilities and general characteristics of vacant houses that can be read from the air were investigated. If the deriving research is carried out, it is judged that it will be possible to contribute to the improvement of the accuracy of the detection result using the unmanned aerial vehicle and the expansion of the application range.

Installation of Remote Monitoring System for Solar Power Generation Facilities

Installation of Remote Monitoring System for Solar Power Generation Facilities

South Koreans’ willingness to pay price premium for electricity generated using domestic solar power facilities over that from imported ones

South Korea seeks to increase the capacity of solar power generation from 10.5GW in 2019 to 68.8GW in 2034. In the process of promoting the increase, the government is trying to increase the use of domestic solar power generation facilities by enhancing their technological competitiveness and price competitiveness. This study attempts to estimate price premium or additional willingness to pay (WTP) for electricity generated using domestic solar power facilities over that from imported ones. As a method to do so, contingent valuation (CV) is adopted. A nationwide CV survey was conducted on 1,000 people during October 2020. A closed-ended question was used to elicit the WTP responses. Furthermore, a spike model was applied to analyzing the WTP data with many zeros. The price premium was estimated to be KRW 26.0 (USD 0.023) per kWh, with statistical significance, which comes to 24.8% of the price of electricity for 2019 (KRW 105 or USD 0.089 per kWh). Some factors related to the interviewees’ characteristics or recognition were found to affect the price premium significantly.

RESEARCH OF THE DESLOCATED SOLAR EQUIPMENT SYSTEM DESIGN IN THE PAVLODAR REGION OF KAZAKHSTAN

The article deals with the research of possibilities of creating solar power generation facilities for the Pavlodar region of Kazakhstan. For this purpose, computer design tools PVSYST were used. For the control of solar generation facilities using Infineon tools the possibilities on effective components were investigated.

제로에너지 도시를 위한 일조분석을 통한 태양광 설치유형별 발전용량 및 에너지자립률 산정 사례 연구

In Korea, the Ministry of Land, Infrastructure and Transport has implemented a zero-energy building certification system since 2017 to achieve the goal of building energy conservation and the national greenhouse gas reduction. Planning. This study analyzes solar power generation facilities by type of installation through sunlight analysis in a zero-energy city and quantitatively presents the effect on the energy independence rate. The energy independence rate was analyzed by calculating the use of the building, the expected number of floors, the building area, and the installable area and capacity of the photovoltaic power generatio facility. It was confirmed that the building attachment type installed on the roof of the building is effective, and the building attachment type installed on the elevation and exterior walls can also contribute to the energy independence rate. In the future, research on various renewable energy sources other than solar power generation facilities is required.

Developing Inspection Methodology of Solar Energy Plants by Thermal Infrared Sensor on Board Unmanned Aerial Vehicles

Photovoltaic (PV) power generation facilities have been built on various scales due to rapid growth in response to demand for renewable energy. Facilities built on diverse terrain and on such a scale are required to employ fast and accurate monitoring technology for stable electrical production and maintenance. The purpose of this study was to develop a technology to analyze the normal operation and failure of solar modules by acquiring images by attaching optical and thermal infrared sensors to unmanned aerial vehicles (UAVs) and producing orthographic images of temperature information. The results obtained in this study are as follows: (1) a method of using optical and thermal infrared sensors with different resolutions at the same time is able to produce accurate spatial information, (2) it is possible to produce orthographic images of thermal infrared images, (3) the analysis of the temperature fluctuation characteristics of the solar panel and cell showed that the abnormal module and cell displayed a larger temperature change than the normal module and cell, and (4) the abnormal heat generation of the panel and cell can be accurately discerned by the abnormal state panel and cell through the spatial distribution of the temperature. It is concluded that the inspection method of the solar module using the obtained UAV-based thermal infrared sensor can be useful for safety inspection and monitoring of the rapidly growing solar power generation facility.

More energy, more rain

Energy![Figure][1] Large-scale solar power generation facilities in the Sahara could cause more local rainfall. CREDIT: DIGITALGLOBE/SCAPEWARE3D/CONTRIBUTOR/GETTY IMAGES Energy generation by wind and solar farms could reduce carbon emissions and thus mitigate anthropogenic climate change. But is this its only benefit? Li et al. conducted experiments using a climate model to show that the installation of large-scale wind and solar power generation facilities in the Sahara could cause more local rainfall, particularly in the neighboring Sahel region. This effect, caused by a combination of increased surface drag and reduced albedo, could increase coverage by vegetation, creating a positive feedback that would further increase rainfall. Science , this issue p. [1019][2] [1]: pending:yes [2]: /lookup/doi/10.1126/science.aar5629

Climate model shows large-scale wind and solar farms in the Sahara increase rain and vegetation

Wind and solar farms offer a major pathway to clean, renewable energies. However, these farms would significantly change land surface properties, and, if sufficiently large, the farms may lead to unintended climate consequences. In this study, we used a climate model with dynamic vegetation to show that large-scale installations of wind and solar farms covering the Sahara lead to a local temperature increase and more than a twofold precipitation increase, especially in the Sahel, through increased surface friction and reduced albedo. The resulting increase in vegetation further enhances precipitation, creating a positive albedo-precipitation-vegetation feedback that contributes ~80% of the precipitation increase for wind farms. This local enhancement is scale dependent and is particular to the Sahara, with small impacts in other deserts.

한국의 태양광발전설비의 안전대책에 관한 연구

한국의 태양광발전설비의 안전대책에 관한 연구

LCA-Based Economic Benefit Analysis for Building Integrated Photovoltaic (BIPV) Façades: A Case Study in Taiwan

ABSTRACTSolar energy is one of the major sources of alternative and green energies that humanity need now and will continue to need in the future. There are now a large number of R&D activities on solar power generation facilities and equipment around the world. Located in a subtropical region, Taiwan is rich in solar energy resources; therefore, how to effectively use and store solar energy is a research topic of great interest to Taiwan. The main purpose of this study explores the economic benefits of building-integrated photovoltaics (BIPV) facilities and equipment by analyzing the net present values (NPV) and payback period of the BIPV façade of a shopping mall in Taiwan over its lifecycle. The NPV and payback period analysis results both indicate that the BIPV façade in the case study reaches its breakeven point within 10 years of payback period and 16 years of NPV during a life cycle of 20 years. By showing BIPV investments can bring an acceptable range of benefits profits, this study hopes to provide references for promoting the photovoltaic (PV) industry.

계통연계형 태양광발전 시스템이 계통의 전력품질에 미치는 영향

In this study, we have investigated effect of solar power generation facilities on power quality of interconnected solar power generation system. When solar power generation facility was connected to distribution system, whether solar power generation is under operation or not, Peak factor of current was increased to 0.033[%], Frequency is deviated from [Hz] and also Short term flicker indication() increased to 0.213[p.u.] compare with disconnected situation. Harmonic current [%] in orders was 11.42[%] maximum under 11th orders and was 7.861[%] between 11th and 17th orders. These values were about 3 or 4 times compared with the power system interconnection technique standards at same situation above. Therefore, we could confirmed that solar power generation facility, when it was connected to existing distribution system, made bad influence on power qualities such as peak factor of current, frequency regulation, short term flicker indication() and harmonic current [%] in orders etc.