journal article·2020-01-03Open access

Solar Power System Planning and Design

Yosoon Choi

Applied Sciences· Volume 10· Issue 1

Abstract

With growing concerns about greenhouse gas emissions, the security of conventional energy supplies, and the environmental safety of conventional energy production techniques, renewable energy systems are becoming increasingly important and are receiving much political attention [...]
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Research context

OpenAlex topics: Solar Radiation and Photovoltaics · Photovoltaic System Optimization Techniques · Solar Thermal and Photovoltaic Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Korea

Funding

National Research Foundation of Korea

References (16)

Show source-provided references
1. PV Analyst: Coupling ArcGIS with TRNSYS to assess distributed photovoltaic potential in urban areas10.1016/j.solener.2011.08.034 ↗
2. Solar energy in progress and future research trends
3. Choi, Y., Suh, J., and Kim, S.-M. (2019). GIS-Based Solar Radiation Mapping, Site Evaluation, and Potential Assessment: A Review. Appl. Sci., 9.10.3390/app9091960 ↗
4. Wang, F., Yu, Y., Zhang, Z., Li, J., Zhen, Z., and Li, K. (2018). Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting. Appl. Sci., 8.10.3390/app8081286 ↗
5. Valentín, L., Peña-Cruz, M., Moctezuma, D., Peña-Martínez, C., Pineda-Arellano, C., and Díaz-Ponce, A. (2019). Towards the Development of a Low-Cost Irradiance Nowcasting Sky Imager. Appl. Sci., 9.10.3390/app9061131 ↗
6. Richardson, W., Cañadillas, D., Moncada, A., Guerrero-Lemus, R., Shephard, L., Vega-Avila, R., and Krishnaswami, H. (2019). Validation of All-Sky Imager Technology and Solar Irradiance Forecasting at Three Locations: NREL, San Antonio, Texas, and the Canary Islands, Spain. Appl. Sci., 9.10.3390/app9040684 ↗
7. Chen, F., Guo, S., Gao, Y., Yang, W., Yang, Y., Zhao, Z., and Ehsan, A. (2018). Evaluation Model of Demand-Side Energy Resources in Urban Power Grid Based on Geographic Information. Appl. Sci., 8.10.3390/app8091491 ↗
8. Kim, S., Oh, M., and Park, H. (2019). Analysis and Prioritization of the Floating Photovoltaic System Potential for Reservoirs in Korea. Appl. Sci., 9.10.3390/app9030395 ↗
9. Alsadi, S., and Khatib, T. (2018). Photovoltaic Power Systems Optimization Research Status: A Review of Criteria, Constrains, Models, Techniques, and Software Tools. Appl. Sci., 8.10.3390/app8101761 ↗
10. Chou, C., Chung, P., and Yang, R. (2019). Wind Loads on a Solar Panel at High Tilt Angles. Appl. Sci., 9.10.3390/app9081594 ↗
11. Chamkha, A., and Selimefendigil, F. (2018). Numerical Analysis for Thermal Performance of a Photovoltaic Thermal Solar Collector with SiO2-Water Nanofluid. Appl. Sci., 8.10.3390/app8112223 ↗
12. Gulkowski, S., Zdyb, A., and Dragan, P. (2019). Experimental Efficiency Analysis of a Photovoltaic System with Different Module Technologies under Temperate Climate Conditions. Appl. Sci., 9.10.3390/app9010141 ↗
13. Rouibah, A., Benazzouz, D., Kouider, R., Al-Kassir, A., García-Sanz-Calcedo, J., and Maghzili, K. (2018). Solar Tower Power Plants of Molten Salt External Receivers in Algeria: Analysis of Direct Normal Irradiation on Performance. Appl. Sci., 8.10.3390/app8081221 ↗
14. Xie, T., Zhang, G., Liu, H., Liu, F., and Du, P. (2018). A Hybrid Forecasting Method for Solar Output Power Based on Variational Mode Decomposition, Deep Belief Networks and Auto-Regressive Moving Average. Appl. Sci., 8.10.3390/app8101901 ↗
15. Mei, F., Wu, Q., Shi, T., Lu, J., Pan, Y., and Zheng, J. (2019). An Ultrashort-Term Net Load Forecasting Model Based on Phase Space Reconstruction and Deep Neural Network. Appl. Sci., 9.10.3390/app9071487 ↗
16. Rubio-Aliaga, A., Molina-Garcia, A., Garcia-Cascales, M., and Sanchez-Lozano, J. (2019). Net-Metering and Self-Consumption Analysis for Direct PV Groundwater Pumping in Agriculture: A Spanish Case Study. Appl. Sci., 9.10.3390/app9081646 ↗