@inproceedings{khosrojerdi_full_2021,

title = {Full Shading for Photovoltaic Systems Operating under Snow Conditions},

author = {F. Khosrojerdi and S. Gagnon and R. Valverde},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116021648&doi=10.1109%2fSEGE52446.2021.9534991&partnerID=40&md5=3a4487157a809d03ae5c46c10499f865},

doi = {10.1109/SEGE52446.2021.9534991},

isbn = {978-0-7381-4535-8},

year  = {2021},

date = {2021-01-01},

booktitle = {2021 9th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2021},

pages = {82–87},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Photovoltaic (PV) installers and non-technical solar energy consumers use PV planning software for the system design and simulation. End-users rely on the designed system and power estimations provided by these tools. However, most planning software products fail to consider shading conditions. This problem affects energy forecasting for solar power plants located in cold climates. In this paper, we define the status of full shading for a snow-covered panel and the minimum depth of snow creating it. Using a case study, we design the project by the most reliable planning software, System Advisor Model (SAM). We show that the simulation overestimates power generations for snowy months. To identify shading conditions and the correlated performance reductions, we compare the SAM results with the measured data collected onsite. As a result, the minimum depth of snow that can create full shading and zero production is detected. Moreover, comparing the measured data with the simulated power helps us to define a rule-base system providing PV performance reduction factors. It assists solar sector practitioners to plan a PV project accurately, especially for the locations where snowfall is an important environmental factor for several months. © 2021 IEEE.},

keywords = {Computer software, Condition, Energy consumer, Energy forecasting, Photovoltaic cells, Photovoltaic planning, Photovoltaic shading, Photovoltaic systems, Photovoltaics, Snow, Snow-covered module, Solar energy, Solar power generation, Solar power plants, USC},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bouchard_reliability_2004,

title = {Reliability and validity of a single-item measure of presence in VR},

author = {S. Bouchard and G. Robillard and J. St-Jacques and S. Dumoulin and M. -J. Patry and P. Renaud},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-15944418961&partnerID=40&md5=7aff5eba0fac9d8ca8adeb0a40063473},

isbn = {0-7803-8817-8 978-0-7803-8817-8},

year  = {2004},

date = {2004-01-01},

booktitle = {Proceedings - 3rd IEEE International Workshop on Haptic, Audio and Visual Environments and their Applications - HAVE 2004},

pages = {59–61},

address = {Ottawa, Ont.},

abstract = {Measuring presence reliably and with minimal intrusion manner is not easy. The present study reports on six studies that have validated a measure of presence consisting of only one item. The content, face validity, test-retest, convergent and divergent validity as well as sensitivity were all confirming reliability and validity of a single-item measure. ©2004 IEEE.},

keywords = {Computer software, Education, Environmental distractions, Ergonomics, Human factors, Information technology, Item-response theory, Psychological Tests, reliability, Sensitivity analysis, Statistical methods, virtual reality},

pubstate = {published},

tppubtype = {inproceedings}

}