Pub Date : 2022-08-30DOI: 10.7836/kses.2022.42.4.079
Jin-Young Kim, Su-Jin Hwang, Hyun-Goo Kim, C. Park, Jun-Young Jeong
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 topographical speed up/down correction using the power law for maximizing the correlation between the predicted and actual power record. Cluster analysis was conducted to classify the wind farms into five groups, and representative onshore, inland, mountain wind farms were selected for case analysis from each cluster. Via the site adaptation of 41 wind farms in South Korea, the hourly, daily cumulative, and monthly cumulative correlation coefficients of the power output were calculated, which were 0.68, 0.79, and 0.85, respectively. In future, machine learning will be introduced for site adaptation in conjunction with the downscaling of wind resource maps by numerical weather prediction or computational fluid dynamics.
{"title":"Site Adaptation of the Reanalysis Data ERA5 on the Power Prediction of Wind Farms","authors":"Jin-Young Kim, Su-Jin Hwang, Hyun-Goo Kim, C. Park, Jun-Young Jeong","doi":"10.7836/kses.2022.42.4.079","DOIUrl":"https://doi.org/10.7836/kses.2022.42.4.079","url":null,"abstract":"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 topographical speed up/down correction using the power law for maximizing the correlation between the predicted and actual power record. Cluster analysis was conducted to classify the wind farms into five groups, and representative onshore, inland, mountain wind farms were selected for case analysis from each cluster. Via the site adaptation of 41 wind farms in South Korea, the hourly, daily cumulative, and monthly cumulative correlation coefficients of the power output were calculated, which were 0.68, 0.79, and 0.85, respectively. In future, machine learning will be introduced for site adaptation in conjunction with the downscaling of wind resource maps by numerical weather prediction or computational fluid dynamics.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134232752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.7836/kses.2022.42.4.015
Cheonkyu Lee, H. Jeong
Typical meteorological year (TMY) data can be used in various fields and, based on their reliability, in various industrial areas. For example, the operability of a solar-assisted thermal heat pump, which is an integrated system, largely depends on weather conditions. Furthermore, accurate TMY data are essential for the quantitative designing of heating and cooling systems, which use direct climatic heat sources such as solar and air heat. Herein, a rule of thumb for analyzing the system efficiency of a direct expansion solar-assisted heat pump (DXSAHP) with seasonal variation is proposed. The solar heat collected by the solar absorber was analyzed based on the TMY data, and the heat pump system was evaluated considering the aforementioned solar heat, ambient temperature, and compressor efficiency. Accordingly, this paper presents a detailed numerical analysis of the DXSAHP for three different regions with TMY data in South Korea, namely, the cold (Daegwanryeong), normal (Daejeon) and warm (Jeju) districts. A detailed analysis of the operational performance of the DXSAHP, such as heating performance, work input, and heating COP, was conducted by applying the monthly average climatic conditions recorded in the TMY data.
{"title":"Performance Analysis of Direct Expansion Solar Assisted Heat Pump Using Typical Meteorological Year","authors":"Cheonkyu Lee, H. Jeong","doi":"10.7836/kses.2022.42.4.015","DOIUrl":"https://doi.org/10.7836/kses.2022.42.4.015","url":null,"abstract":"Typical meteorological year (TMY) data can be used in various fields and, based on their reliability, in various industrial areas. For example, the operability of a solar-assisted thermal heat pump, which is an integrated system, largely depends on weather conditions. Furthermore, accurate TMY data are essential for the quantitative designing of heating and cooling systems, which use direct climatic heat sources such as solar and air heat. Herein, a rule of thumb for analyzing the system efficiency of a direct expansion solar-assisted heat pump (DXSAHP) with seasonal variation is proposed. The solar heat collected by the solar absorber was analyzed based on the TMY data, and the heat pump system was evaluated considering the aforementioned solar heat, ambient temperature, and compressor efficiency. Accordingly, this paper presents a detailed numerical analysis of the DXSAHP for three different regions with TMY data in South Korea, namely, the cold (Daegwanryeong), normal (Daejeon) and warm (Jeju) districts. A detailed analysis of the operational performance of the DXSAHP, such as heating performance, work input, and heating COP, was conducted by applying the monthly average climatic conditions recorded in the TMY data.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134250643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.7836/kses.2022.42.4.069
Kanghyun Kim, Young-Dae Choi
Recently, the use of new and renewable energy for suppressing the generation of carbon dioxide to prevent global warming has attracted considerable attention. Among the various new and renewable energy sources, solar energy has been attracting increasing interest for the reduction of building energy, as it is easy to implement in buildings and excellent for maintenance and repair. Therefore, in this study, an air-based photovoltaic thermal (PVT) system, which can increase the utilization of solar energy, was compared with the existing PV system through measurements. The PVT system can increases the amount of power generated by reducing the temperature of the panel via the air passing through the lower part of the panel. Furthermore, useing the air whose temperature has been increased by the heat obtained from the panel for indoor heating or hot water supply in the building is possible. The performance of existing PV and PVT panels was measured under the same weather conditions, and result indicated that the power generation efficiency of PVT panels, through which the air passes was higher than that of PV panels. Furthermore, the air whose temperature was increased to ≥ 40°C by the PVT system may be utilized for heating and hot water supply. Overall, by utilizing solar power, air-based PVT systems can utilize 3.4 ~ 3.9 times more solar power than can conventional PVs.
{"title":"Seasonal Analysis of Solar Energy Utilization Effect of Air-based PVT System by Comparing with Photovoltaic System","authors":"Kanghyun Kim, Young-Dae Choi","doi":"10.7836/kses.2022.42.4.069","DOIUrl":"https://doi.org/10.7836/kses.2022.42.4.069","url":null,"abstract":"Recently, the use of new and renewable energy for suppressing the generation of carbon dioxide to prevent global warming has attracted considerable attention. Among the various new and renewable energy sources, solar energy has been attracting increasing interest for the reduction of building energy, as it is easy to implement in buildings and excellent for maintenance and repair. Therefore, in this study, an air-based photovoltaic thermal (PVT) system, which can increase the utilization of solar energy, was compared with the existing PV system through measurements. The PVT system can increases the amount of power generated by reducing the temperature of the panel via the air passing through the lower part of the panel. Furthermore, useing the air whose temperature has been increased by the heat obtained from the panel for indoor heating or hot water supply in the building is possible. The performance of existing PV and PVT panels was measured under the same weather conditions, and result indicated that the power generation efficiency of PVT panels, through which the air passes was higher than that of PV panels. Furthermore, the air whose temperature was increased to ≥ 40°C by the PVT system may be utilized for heating and hot water supply. Overall, by utilizing solar power, air-based PVT systems can utilize 3.4 ~ 3.9 times more solar power than can conventional PVs.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131951548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-30DOI: 10.7836/kses.2022.42.3.001
Daesub Yoon, Y. Ahn, Gi-Hwan Kang, H. Chang, Jinseok Lee
This paper describes the physical process used to recover silicon from a solar module, where the solar cell recovery rate (87.4 %) was determined under optimized process conditions. This physical recycling method requires a particle separation process because selective separation of the recovered materials is difficult, and the recovery rate and purity of the recovered materials can be low after the initial particle separation. In this study, the recovery rate was determined with respect to the crushing time and rotational speed of the cutter mill as well as the amplitude and separation time of the sieving machine, which were optimized to increase the Si recovery rate. In addition, an etching process was used to recover high-purity Si from the solar cells. To determine whether Ag and Al were removed from the recovered Si, XRD analysis was performed to confirm the measured Si peak and small TiO 2 peak, and ICP-MS analysis was performed to confirm the purity of the recovered Si, which was found to be of 3N grade.
{"title":"Silicon Recovery from Solar Module Waste by a Physical Method","authors":"Daesub Yoon, Y. Ahn, Gi-Hwan Kang, H. Chang, Jinseok Lee","doi":"10.7836/kses.2022.42.3.001","DOIUrl":"https://doi.org/10.7836/kses.2022.42.3.001","url":null,"abstract":"This paper describes the physical process used to recover silicon from a solar module, where the solar cell recovery rate (87.4 %) was determined under optimized process conditions. This physical recycling method requires a particle separation process because selective separation of the recovered materials is difficult, and the recovery rate and purity of the recovered materials can be low after the initial particle separation. In this study, the recovery rate was determined with respect to the crushing time and rotational speed of the cutter mill as well as the amplitude and separation time of the sieving machine, which were optimized to increase the Si recovery rate. In addition, an etching process was used to recover high-purity Si from the solar cells. To determine whether Ag and Al were removed from the recovered Si, XRD analysis was performed to confirm the measured Si peak and small TiO 2 peak, and ICP-MS analysis was performed to confirm the purity of the recovered Si, which was found to be of 3N grade.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122833277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.7836/kses.2022.42.2.001
SungWon Cho, Seung-Rim Lee, J. Yoo, G. Cho
Atmospheric particle concentration is increasing in Korea owing to industrialization in Korea and the influence of China. Outdoor particles can enter buildings through cracks or windows and affect the health of residents. Care rooms in childcare centers are meant for infants and children, who are more vulnerable to particles than adults; hence, indoor air quality management is necessary. Outdoor particles as well as the particles generated through children’s activities and indoor cooking should be considered for the assessment of indoor air quality of these places. Thus, particles that should be removed from such buildings comprise outdoor particles entering indoor and those generated indoor. The total concentration of these particles can be termed as particle load. Ventilation and air cleaning devices are effective in removing particle loads, and efficient indoor air quality management can be achieved by using devices of appropriate capacity and performance based on load estimation. Therefore, to estimate the particle load of care rooms, indoor air quality monitoring was conducted for one year, and the particle loads were estimated by analyzing the monitoring data.
{"title":"A Study on Estimation of Particle Penetration Load and Indoor Generation Load in Child Care Room","authors":"SungWon Cho, Seung-Rim Lee, J. Yoo, G. Cho","doi":"10.7836/kses.2022.42.2.001","DOIUrl":"https://doi.org/10.7836/kses.2022.42.2.001","url":null,"abstract":"Atmospheric particle concentration is increasing in Korea owing to industrialization in Korea and the influence of China. Outdoor particles can enter buildings through cracks or windows and affect the health of residents. Care rooms in childcare centers are meant for infants and children, who are more vulnerable to particles than adults; hence, indoor air quality management is necessary. Outdoor particles as well as the particles generated through children’s activities and indoor cooking should be considered for the assessment of indoor air quality of these places. Thus, particles that should be removed from such buildings comprise outdoor particles entering indoor and those generated indoor. The total concentration of these particles can be termed as particle load. Ventilation and air cleaning devices are effective in removing particle loads, and efficient indoor air quality management can be achieved by using devices of appropriate capacity and performance based on load estimation. Therefore, to estimate the particle load of care rooms, indoor air quality monitoring was conducted for one year, and the particle loads were estimated by analyzing the monitoring data.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123132455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.7836/kses.2022.42.2.023
J. Jee, Il-Sung Zo, Kyu-Tae Lee, Won-Hak Lee, Sung-Jin Choi
In this study, photovoltaic (PV) electricity power and PV panel temperature for operation and monitoring of PV power plant were calculated and analyzed. A PV panel temperature sensor was installed at the Chuncheon Meteorological Observatory solar power plant for intensive observation from May 1 to August 19, 2018. When the calculated PV panel temperature was analyzed using the measured PV panel temperature, the calculated PV panel temperature was overestimated at a higher temperature compared to the measured PV panel temperature, which was overestimated at a lower temperature; however, the determination coefficient (R 2 ) was 0.88 or more. The bias was -0.33°C and RMSE was 3.43°C when the ground observation data were used. However, when the Local Data Assimilation and Prediction (LDAPS) model were used, the bias was 0.22°C and RMSE was 4.27°C. The PV electricity power generation by ground meteorological observation data (Korea Meteorological Administration, KMA), LDAPS model prediction data (LDAPS), and Communication Ocean and Meteorological Satellite (COMS) data using the PV module temperature were compared with those of the Chuncheon PV power plant. The determination coefficient (R 2 ) of PV power generation was the highest for KMA (0.91) followed by COMS (0.88) and LDAPS (0.84). The slope of the linear regression, (1.05) for KMA, and the smallest bias (2.24 kWh) and RMSE (3.38 kWh) were similar to the measured values. However, compared to the LDAPS, the slope (1.23) of the linear regression was the largest in COMS, and the bias (4.77 kWh) and RMSE (6.23 kWh) were slightly higher.
{"title":"Analysis of Photovoltaic Panel Temperature and Photovoltaic Electric Power at Chuncheon Meteorological Station using Intensive Observation Period Data","authors":"J. Jee, Il-Sung Zo, Kyu-Tae Lee, Won-Hak Lee, Sung-Jin Choi","doi":"10.7836/kses.2022.42.2.023","DOIUrl":"https://doi.org/10.7836/kses.2022.42.2.023","url":null,"abstract":"In this study, photovoltaic (PV) electricity power and PV panel temperature for operation and monitoring of PV power plant were calculated and analyzed. A PV panel temperature sensor was installed at the Chuncheon Meteorological Observatory solar power plant for intensive observation from May 1 to August 19, 2018. When the calculated PV panel temperature was analyzed using the measured PV panel temperature, the calculated PV panel temperature was overestimated at a higher temperature compared to the measured PV panel temperature, which was overestimated at a lower temperature; however, the determination coefficient (R 2 ) was 0.88 or more. The bias was -0.33°C and RMSE was 3.43°C when the ground observation data were used. However, when the Local Data Assimilation and Prediction (LDAPS) model were used, the bias was 0.22°C and RMSE was 4.27°C. The PV electricity power generation by ground meteorological observation data (Korea Meteorological Administration, KMA), LDAPS model prediction data (LDAPS), and Communication Ocean and Meteorological Satellite (COMS) data using the PV module temperature were compared with those of the Chuncheon PV power plant. The determination coefficient (R 2 ) of PV power generation was the highest for KMA (0.91) followed by COMS (0.88) and LDAPS (0.84). The slope of the linear regression, (1.05) for KMA, and the smallest bias (2.24 kWh) and RMSE (3.38 kWh) were similar to the measured values. However, compared to the LDAPS, the slope (1.23) of the linear regression was the largest in COMS, and the bias (4.77 kWh) and RMSE (6.23 kWh) were slightly higher.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129912781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.7836/kses.2022.42.2.013
Tae Heun Kwon, Jeong-yong Kim, Eui-kyung Kim, Sung-kyu Hong
A floating photovoltaic power system is a power generation system that floats on the surface of water. Owing to its floating characteristics, the structure moves as the water level changes. In this study, we investigated whether the changes in water level affect the amount of power generated by the floating photovoltaic power system. We selected floating solar power plants that are currently in operation and analyzed the annual/monthly utilization rates. Our results confirmed that the utilization rate of the floating photovoltaic power system installed in areas with marked changes in water level is the lowest. In addition, correlation analysis of environmental factors that affect power generation such as solar radiation, temperature, humidity, wind speed, and water level confirmed that changes in water level resulted in decrease in power generation.
{"title":"Effect on Power Generation of Floating Photovoltaic Power System Power by Water Level Change","authors":"Tae Heun Kwon, Jeong-yong Kim, Eui-kyung Kim, Sung-kyu Hong","doi":"10.7836/kses.2022.42.2.013","DOIUrl":"https://doi.org/10.7836/kses.2022.42.2.013","url":null,"abstract":"A floating photovoltaic power system is a power generation system that floats on the surface of water. Owing to its floating characteristics, the structure moves as the water level changes. In this study, we investigated whether the changes in water level affect the amount of power generated by the floating photovoltaic power system. We selected floating solar power plants that are currently in operation and analyzed the annual/monthly utilization rates. Our results confirmed that the utilization rate of the floating photovoltaic power system installed in areas with marked changes in water level is the lowest. In addition, correlation analysis of environmental factors that affect power generation such as solar radiation, temperature, humidity, wind speed, and water level confirmed that changes in water level resulted in decrease in power generation.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124467976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.7836/kses.2022.42.2.035
Soo-Kyu Chae, Sangmu Bae, Y. Nam
As regulations on renewable energy are strengthened and zero-energy buildings are becoming mandatory, research on the commercialization of renewable energy for heating and cooling buildings is accelerating. However, geothermal, photovoltaic, and solar heat are mostly applied as single systems, and there are few cases in which the disadvantages of individual systems are overcome or where the advantages are maximized. The purpose of this study is to develop an analysis model that can respond stably to heating and cooling loads in buildings and to analyze system performance. To stabilize the control of cooling, heating, and hot water supply, the operation method is divided into four cycles. In seasons when cooling and heating loads are significantly decreased, heating and cooling are performed directly by the heat pump without using storage tanks. In addition, a case study using late-night power was conducted to investigate efficient electricity use. Without late-night power, the heat pump coefficient of performance (COP) during the heating period was 2.5 and the monthly average heat exchange rate (HER) was 240 kWh; meanwhile, the COP during the cooling period was 3.99 and the HER was 880 kWh. The energy self-sufficiency rate during the heating period was 2.02 times higher than the cooling period. However, as a result of using late-night power, the electricity rate and COP during heating decreased by 2.5% and 2.04%, respectively, and the COP during cooling increased by 0.1%. This study presents basic data for the implementation of renewable energy systems and the design of predictive models.
{"title":"Dynamic Analysis of the Integrated System using Photovoltaic-Thermal and Air Source Heat Pump Considering Real Building Application","authors":"Soo-Kyu Chae, Sangmu Bae, Y. Nam","doi":"10.7836/kses.2022.42.2.035","DOIUrl":"https://doi.org/10.7836/kses.2022.42.2.035","url":null,"abstract":"As regulations on renewable energy are strengthened and zero-energy buildings are becoming mandatory, research on the commercialization of renewable energy for heating and cooling buildings is accelerating. However, geothermal, photovoltaic, and solar heat are mostly applied as single systems, and there are few cases in which the disadvantages of individual systems are overcome or where the advantages are maximized. The purpose of this study is to develop an analysis model that can respond stably to heating and cooling loads in buildings and to analyze system performance. To stabilize the control of cooling, heating, and hot water supply, the operation method is divided into four cycles. In seasons when cooling and heating loads are significantly decreased, heating and cooling are performed directly by the heat pump without using storage tanks. In addition, a case study using late-night power was conducted to investigate efficient electricity use. Without late-night power, the heat pump coefficient of performance (COP) during the heating period was 2.5 and the monthly average heat exchange rate (HER) was 240 kWh; meanwhile, the COP during the cooling period was 3.99 and the HER was 880 kWh. The energy self-sufficiency rate during the heating period was 2.02 times higher than the cooling period. However, as a result of using late-night power, the electricity rate and COP during heating decreased by 2.5% and 2.04%, respectively, and the COP during cooling increased by 0.1%. This study presents basic data for the implementation of renewable energy systems and the design of predictive models.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"137 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133455839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-28DOI: 10.7836/kses.2022.42.1.069
Sun-Jung Seo, Yo-sun Yun, Jinchul Park
In the building sector, various policies and standards, including building energy reduction design standards, green building certification, and zero energy building certification have been implemented for reducing energy use and greenhouse gas emissions. However, the existing standards and policies have been prepared for new buildings, and the review of existing buildings is insufficient. Therefore, in this study, we reviewed the current policies and standards in relation to existing buildings and analyzed the acquisition status of green building certification. In addition, through the analysis of acquisition status for each certification criterion, the limitations of the current certification standards and scope of improvement were suggested. Consequently, measures to improve the evaluation criteria were derived, such as applying the actual energy-saving rate to existing buildings and expanding the scope of certification for green building materials. Through this study, the acquisition and application of green building certification for existing buildings are expected to proceed.
{"title":"Appeal to the Spread of Green Building on Existing Building Sector by G-SEED Certification Status and Standards Proposal","authors":"Sun-Jung Seo, Yo-sun Yun, Jinchul Park","doi":"10.7836/kses.2022.42.1.069","DOIUrl":"https://doi.org/10.7836/kses.2022.42.1.069","url":null,"abstract":"In the building sector, various policies and standards, including building energy reduction design standards, green building certification, and zero energy building certification have been implemented for reducing energy use and greenhouse gas emissions. However, the existing standards and policies have been prepared for new buildings, and the review of existing buildings is insufficient. Therefore, in this study, we reviewed the current policies and standards in relation to existing buildings and analyzed the acquisition status of green building certification. In addition, through the analysis of acquisition status for each certification criterion, the limitations of the current certification standards and scope of improvement were suggested. Consequently, measures to improve the evaluation criteria were derived, such as applying the actual energy-saving rate to existing buildings and expanding the scope of certification for green building materials. Through this study, the acquisition and application of green building certification for existing buildings are expected to proceed.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117282190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-28DOI: 10.7836/kses.2022.42.1.033
Dawon Kim, Sung-Min Kim, J. Suh, Yosoon Choi
In this study, we proposed a new method of detecting abnormalities by analyzing power generation data of photovoltaic (PV) systems installed in renewable energy housing support project sites. The study site is north of Gakbuk-myeon, Cheongdo-gun, Gyeongsangbuk-do, Korea, where 63 PV systems have been installed and operated. Based on the system design and surrounding environment, the 63 PV systems were clustered into 6 groups using the K-means clustering method, which is an unsupervised machine learning algorithm. The power production data from the PV systems in each group were analyzed and set as abnormal values if they deviated from the range of ±2.58 times the standard deviation from the mean (assuming a normal distribution and 99% confidence interval). As a result, several abnormalities were detected in the PV systems in November 2020. The cause of the abnormalities was confirmed through site investigation. The proposed method is expected to accelerate the diagnosis of PV systems in renewable energy housing support project sites.
{"title":"Anomaly Detection of Photovoltaic Systems Installed in Renewable Energy Housing Support Project Sites by Analyzing Power Generation Data","authors":"Dawon Kim, Sung-Min Kim, J. Suh, Yosoon Choi","doi":"10.7836/kses.2022.42.1.033","DOIUrl":"https://doi.org/10.7836/kses.2022.42.1.033","url":null,"abstract":"In this study, we proposed a new method of detecting abnormalities by analyzing power generation data of photovoltaic (PV) systems installed in renewable energy housing support project sites. The study site is north of Gakbuk-myeon, Cheongdo-gun, Gyeongsangbuk-do, Korea, where 63 PV systems have been installed and operated. Based on the system design and surrounding environment, the 63 PV systems were clustered into 6 groups using the K-means clustering method, which is an unsupervised machine learning algorithm. The power production data from the PV systems in each group were analyzed and set as abnormal values if they deviated from the range of ±2.58 times the standard deviation from the mean (assuming a normal distribution and 99% confidence interval). As a result, several abnormalities were detected in the PV systems in November 2020. The cause of the abnormalities was confirmed through site investigation. The proposed method is expected to accelerate the diagnosis of PV systems in renewable energy housing support project sites.","PeriodicalId":276437,"journal":{"name":"Journal of the Korean Solar Energy Society","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127046389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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