{"_buckets": {"deposit": "c2483cdf-dfe2-46e1-adca-79064a891312"}, "_deposit": {"id": "1926", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "1926"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/1926", "sets": ["user-uy"]}, "communities": ["ccm", "ccp", "kyauksetu", "ltc", "maas", "miit", "mlmu", "mmu", "mtlu", "mtu", "mub", "mude", "mufl", "pathein", "scu", "suoe", "tcu", "tgu", "tuh", "tum", "ucsm", "ucsmtla", "ucsmub", "ucspathein", "ucstaungoo", "ucsy", "udmm", "udmy", "uit", "um", "um1", "um2", "umkn", "umm", "uphy", "urj", "uvs", "uy", "yau", "ydbu", "ytu", "yude", "yueco", "yufl", "yuoe"], "control_number": "1926", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "THERMAL IMAGING TO DETECT HOTSPOTS IN SOLAR PV MODULES", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Defects in solar cells affect the overall output of a photovoltaic (PV) module. When there is a defect in a PV\r module, that specific defect becomes a load so current concentrates to that part. This creates a hotspot which may\r lead to severe power reduction. Identification of hotspots is one step to creating countermeasures to improve\r theefficiency of solar PV arrays. To check for hotspots in the photovoltaic modules, infrared (IR) imaging was\r utilized as an optical tool. IR is contactless and thus (ahnost) reactionless. Also, it spatially separates radiation\r source and detector, which means that even very hot or otherwise difficult-to-access objects can be measured. With\r this, infrared thermography can aid in monitoring the performance of a photovoltaic module years after it has been\r installed. Likewise, it can provide a better assessment if the solar PV modules are still efficient or should be replaced with new ones. This work used and analyzed the captured IR images of solar PV modules to quantify areas with higher intensitiesand the images were dissected into groups according to its heating intensities through k-means clustering. This allows the classification of hotspots and identification of problem areas in a module.The collected IR images also showed potential causes ofhotspots in solar PV modules."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Hostpots"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-05-05"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Thermal imaging to detect hotspots in Solar PV modules.pdf", "filesize": [{"value": "1707 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 1707000.0, "url": {"url": "https://meral.edu.mm/record/1926/files/Thermal imaging to detect hotspots in Solar PV modules.pdf"}, "version_id": "32714fcd-1b2d-48fa-9348-7a7c143a2c94"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_journal_title": "8th AUN/SEED-Net Regional Conference on Electrical and Electronics Engineering"}]}, "item_1583103147082": {"attribute_name": "Conference papaers", "attribute_value_mlt": [{}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_supervisor(s)": []}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Salazar, April M."}, {"subitem_authors_fullname": "Macabebe, Erees Queen B."}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2015"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "https://uyr.uy.edu.mm/handle/123456789/435"}, "item_title": "THERMAL IMAGING TO DETECT HOTSPOTS IN SOLAR PV MODULES", "item_type_id": "21", "owner": "1", "path": ["1582967549708"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000001926", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-03-05"}, "publish_date": "2020-03-05", "publish_status": "0", "recid": "1926", "relation": {}, "relation_version_is_last": true, "title": ["THERMAL IMAGING TO DETECT HOTSPOTS IN SOLAR PV MODULES"], "weko_shared_id": -1}