Changes
On September 3, 2024 at 5:30:25 AM UTC, Yael Frischholz:
-
Updated description of Monitoring data sets of alpine photovoltaic power-plants from
On this repository you can find the monitoring data of the 3 PV power-plants analysed in the article _"Confirmation of the power gain for solar photovoltaic systems in alpine areas" (doi: 10.3389/fenrg.2024.1372680) . Each folder contains the following two elements: 1. **README.txt** : describes the content of the folder. Especially it describes the plant's monitoring system's architecture and relates it to the various files included in the data sub-folder. It also provides a detailed description of all processing steps leading to the data sets as available in the data sub-folder and used in the pre-cited article. 3. **data/** : sub-folder containing the file(s) used in the referenced article.
toOn this repository you can find the monitoring data of the 3 PV power-plants analysed in the article _"Confirmation of the power gain for solar photovoltaic systems in alpine areas"_ (doi: 10.3389/fenrg.2024.1372680) . Each folder contains the following two elements: 1. **README.txt** : describes the content of the folder. Especially it describes the plant's monitoring system's architecture and relates it to the various files included in the data sub-folder. It also provides a detailed description of all processing steps leading to the data sets as available in the data sub-folder and used in the pre-cited article. 3. **data/** : sub-folder containing the file(s) used in the referenced article.
f | 1 | { | f | 1 | { |
2 | "author": "[{\"given_name\": \"Yael\", \"name\": \"Frischholz\", | 2 | "author": "[{\"given_name\": \"Yael\", \"name\": \"Frischholz\", | ||
3 | \"email\": \"yael.frischholz@epfl.ch\", \"data_credit\": | 3 | \"email\": \"yael.frischholz@epfl.ch\", \"data_credit\": | ||
4 | [\"software\", \"supervision\", \"curation\", \"collection\", | 4 | [\"software\", \"supervision\", \"curation\", \"collection\", | ||
5 | \"validation\", \"publication\"], \"identifier\": | 5 | \"validation\", \"publication\"], \"identifier\": | ||
6 | \"0009-0001-2643-9260\", \"affiliation\": \"Laboratory of Cryospheric | 6 | \"0009-0001-2643-9260\", \"affiliation\": \"Laboratory of Cryospheric | ||
7 | Sciences (CRYOS), School of Architecture, Civil and Environmental | 7 | Sciences (CRYOS), School of Architecture, Civil and Environmental | ||
8 | Engineering (ENAC), \\u00c9cole Polytechnique F\\u00e9d\\u00e9rale de | 8 | Engineering (ENAC), \\u00c9cole Polytechnique F\\u00e9d\\u00e9rale de | ||
9 | Lausanne (EPFL), Lausanne, Switzerland\"}]", | 9 | Lausanne (EPFL), Lausanne, Switzerland\"}]", | ||
10 | "author_email": null, | 10 | "author_email": null, | ||
11 | "creator_user_id": "6b3b7ace-8e4b-46c2-a000-a716865c8e09", | 11 | "creator_user_id": "6b3b7ace-8e4b-46c2-a000-a716865c8e09", | ||
12 | "date": | 12 | "date": | ||
13 | \":\"created\",\"date\":\"2018-01-01\",\"end_date\":\"2023-09-30\"}]", | 13 | \":\"created\",\"date\":\"2018-01-01\",\"end_date\":\"2023-09-30\"}]", | ||
14 | "doi": "10.16904/envidat.469", | 14 | "doi": "10.16904/envidat.469", | ||
15 | "funding": | 15 | "funding": | ||
16 | InnoSuisse\",\"grant_number\":\"47985.1\",\"institution_url\":\"\"}]", | 16 | InnoSuisse\",\"grant_number\":\"47985.1\",\"institution_url\":\"\"}]", | ||
17 | "groups": [], | 17 | "groups": [], | ||
18 | "id": "40024d58-c912-499e-8f4f-8a9b9189955a", | 18 | "id": "40024d58-c912-499e-8f4f-8a9b9189955a", | ||
19 | "isopen": true, | 19 | "isopen": true, | ||
20 | "license_id": "cc-by-sa", | 20 | "license_id": "cc-by-sa", | ||
21 | "license_title": "Creative Commons Attribution Share-Alike | 21 | "license_title": "Creative Commons Attribution Share-Alike | ||
22 | (CC-BY-SA)", | 22 | (CC-BY-SA)", | ||
23 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | 23 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | ||
24 | "maintainer": | 24 | "maintainer": | ||
25 | rischholz@epfl.ch\",\"given_name\":\"Yael\",\"name\":\"Frischholz\"}", | 25 | rischholz@epfl.ch\",\"given_name\":\"Yael\",\"name\":\"Frischholz\"}", | ||
26 | "maintainer_email": null, | 26 | "maintainer_email": null, | ||
27 | "metadata_created": "2023-12-18T18:16:27.322447", | 27 | "metadata_created": "2023-12-18T18:16:27.322447", | ||
n | 28 | "metadata_modified": "2024-09-03T05:28:41.338692", | n | 28 | "metadata_modified": "2024-09-03T05:30:25.170070", |
29 | "name": | 29 | "name": | ||
30 | measurement-data-sets-the-measured-potential-of-alpine-photovoltaics", | 30 | measurement-data-sets-the-measured-potential-of-alpine-photovoltaics", | ||
31 | "notes": "On this repository you can find the monitoring data of the | 31 | "notes": "On this repository you can find the monitoring data of the | ||
32 | 3 PV power-plants analysed in the article _\"Confirmation of the power | 32 | 3 PV power-plants analysed in the article _\"Confirmation of the power | ||
t | 33 | gain for solar photovoltaic systems in alpine areas\" (doi: | t | 33 | gain for solar photovoltaic systems in alpine areas\"_ (doi: |
34 | 10.3389/fenrg.2024.1372680) . Each folder contains the following two | 34 | 10.3389/fenrg.2024.1372680) . Each folder contains the following two | ||
35 | elements:\n1. **README.txt** : describes the content of the folder. | 35 | elements:\n1. **README.txt** : describes the content of the folder. | ||
36 | Especially it describes the plant's monitoring system's architecture | 36 | Especially it describes the plant's monitoring system's architecture | ||
37 | and relates it to the various files included in the data sub-folder. | 37 | and relates it to the various files included in the data sub-folder. | ||
38 | It also provides a detailed description of all processing steps | 38 | It also provides a detailed description of all processing steps | ||
39 | leading to the data sets as available in the data sub-folder and used | 39 | leading to the data sets as available in the data sub-folder and used | ||
40 | in the pre-cited article. \n3. **data/** : sub-folder containing the | 40 | in the pre-cited article. \n3. **data/** : sub-folder containing the | ||
41 | file(s) used in the referenced article.\n\n", | 41 | file(s) used in the referenced article.\n\n", | ||
42 | "num_resources": 2, | 42 | "num_resources": 2, | ||
43 | "num_tags": 5, | 43 | "num_tags": 5, | ||
44 | "organization": { | 44 | "organization": { | ||
45 | "approval_status": "approved", | 45 | "approval_status": "approved", | ||
46 | "created": "2016-11-17T12:24:20.447699", | 46 | "created": "2016-11-17T12:24:20.447699", | ||
47 | "description": "CRYOS is the EPFL laboratory of the WSL/SLF - EPFL | 47 | "description": "CRYOS is the EPFL laboratory of the WSL/SLF - EPFL | ||
48 | joint appointment for Prof. Michael Lehning. At his WSL side, Prof. | 48 | joint appointment for Prof. Michael Lehning. At his WSL side, Prof. | ||
49 | Michael Lehning is head of the research unit \"Snow and Permafrost\" | 49 | Michael Lehning is head of the research unit \"Snow and Permafrost\" | ||
50 | at SLF in Davos.\r\n \r\n###General Mission\r\nThe laboratory of | 50 | at SLF in Davos.\r\n \r\n###General Mission\r\nThe laboratory of | ||
51 | cryospheric sciences investigates the processes that shape snow and | 51 | cryospheric sciences investigates the processes that shape snow and | ||
52 | ice in mountains and polar regions. In particular, snow cover | 52 | ice in mountains and polar regions. In particular, snow cover | ||
53 | processes, snow-atmosphere interactions and mountain hydrology are in | 53 | processes, snow-atmosphere interactions and mountain hydrology are in | ||
54 | the focus of current research. This includes a strive for deeper | 54 | the focus of current research. This includes a strive for deeper | ||
55 | understanding of the complicated mass and energy exchange processes | 55 | understanding of the complicated mass and energy exchange processes | ||
56 | within, above and below a snow cover but also predictions of future | 56 | within, above and below a snow cover but also predictions of future | ||
57 | snow and ice in mountains and high latitudes. A newer work area is the | 57 | snow and ice in mountains and high latitudes. A newer work area is the | ||
58 | risk management and optimization in the field of renewable energy | 58 | risk management and optimization in the field of renewable energy | ||
59 | production based on our detailed understanding of water, wind and | 59 | production based on our detailed understanding of water, wind and | ||
60 | radiation processes in mountains.\r\n\r\nMore information: | 60 | radiation processes in mountains.\r\n\r\nMore information: | ||
61 | http://cryos.epfl.ch/", | 61 | http://cryos.epfl.ch/", | ||
62 | "id": "b2ef52fe-c56a-4973-8309-24837f3848ed", | 62 | "id": "b2ef52fe-c56a-4973-8309-24837f3848ed", | ||
63 | "image_url": "2019-03-26-151807.125593CRYOSLogoFinal.jpg", | 63 | "image_url": "2019-03-26-151807.125593CRYOSLogoFinal.jpg", | ||
64 | "is_organization": true, | 64 | "is_organization": true, | ||
65 | "name": "cryos", | 65 | "name": "cryos", | ||
66 | "state": "active", | 66 | "state": "active", | ||
67 | "title": "CRYOS", | 67 | "title": "CRYOS", | ||
68 | "type": "organization" | 68 | "type": "organization" | ||
69 | }, | 69 | }, | ||
70 | "owner_org": "b2ef52fe-c56a-4973-8309-24837f3848ed", | 70 | "owner_org": "b2ef52fe-c56a-4973-8309-24837f3848ed", | ||
71 | "private": false, | 71 | "private": false, | ||
72 | "publication": | 72 | "publication": | ||
73 | "{\"publisher\":\"EnviDat\",\"publication_year\":\"2024\"}", | 73 | "{\"publisher\":\"EnviDat\",\"publication_year\":\"2024\"}", | ||
74 | "publication_state": "published", | 74 | "publication_state": "published", | ||
75 | "relationships_as_object": [], | 75 | "relationships_as_object": [], | ||
76 | "relationships_as_subject": [], | 76 | "relationships_as_subject": [], | ||
77 | "resource_type": "dataset", | 77 | "resource_type": "dataset", | ||
78 | "resource_type_general": "dataset", | 78 | "resource_type_general": "dataset", | ||
79 | "resources": [ | 79 | "resources": [ | ||
80 | { | 80 | { | ||
81 | "cache_last_updated": null, | 81 | "cache_last_updated": null, | ||
82 | "cache_url": null, | 82 | "cache_url": null, | ||
83 | "created": "2024-01-17T09:44:28.409466", | 83 | "created": "2024-01-17T09:44:28.409466", | ||
84 | "description": "Title: Monitoring data set at A1 (test-site of | 84 | "description": "Title: Monitoring data set at A1 (test-site of | ||
85 | Totalp), years 2018-2022\nProvider: ZHAW - EKZ\n\nEdition: | 85 | Totalp), years 2018-2022\nProvider: ZHAW - EKZ\n\nEdition: | ||
86 | Y.Frischholz, Laboratory of Cryospheric Sciences, EPFL \nLast edition: | 86 | Y.Frischholz, Laboratory of Cryospheric Sciences, EPFL \nLast edition: | ||
87 | 17.01.2024\n\nFile name structure: \nThe test site contains 6 segments | 87 | 17.01.2024\n\nFile name structure: \nThe test site contains 6 segments | ||
88 | named from A to F. The six files provided in the data/ subfolder | 88 | named from A to F. The six files provided in the data/ subfolder | ||
89 | follow the same naming convention (e.g. for segment A, the file name | 89 | follow the same naming convention (e.g. for segment A, the file name | ||
90 | is: \u201cA1_A.csv\u201d). Refer to the publication for further | 90 | is: \u201cA1_A.csv\u201d). Refer to the publication for further | ||
91 | details on the setups of the segments.\n\nFile format:\nAll files are | 91 | details on the setups of the segments.\n\nFile format:\nAll files are | ||
92 | provided in the CSV format.\n\nColumn headings:\n\t\u2022\ttimestamp | 92 | provided in the CSV format.\n\nColumn headings:\n\t\u2022\ttimestamp | ||
93 | (datetime64): time stamp in format \u201cYYYY-MM-DD HH:mm:ss\u201d, | 93 | (datetime64): time stamp in format \u201cYYYY-MM-DD HH:mm:ss\u201d, | ||
94 | time-zone: UTC\n\t\u2022\tpoa_front (double): front plane-of-array | 94 | time-zone: UTC\n\t\u2022\tpoa_front (double): front plane-of-array | ||
95 | irradiation (W/m**2) \n\t\u2022\tpoa_back (double): rear | 95 | irradiation (W/m**2) \n\t\u2022\tpoa_back (double): rear | ||
96 | plane-of-array irradiation (W/m**2)\n\t\u2022\tmod_temp (double): | 96 | plane-of-array irradiation (W/m**2)\n\t\u2022\tmod_temp (double): | ||
97 | module\u2019s temperature (\u00b0C)\n\t\u2022\tP_AC (double): output | 97 | module\u2019s temperature (\u00b0C)\n\t\u2022\tP_AC (double): output | ||
98 | AC power (W)\n\nPreprocessing: \n\tOutliers: \n\t\u2043\tQuantiles Q1 | 98 | AC power (W)\n\nPreprocessing: \n\tOutliers: \n\t\u2043\tQuantiles Q1 | ||
99 | and Q99 are computed for each variable\n\t\u2043\tValues below Q1 and | 99 | and Q99 are computed for each variable\n\t\u2043\tValues below Q1 and | ||
100 | above Q99 are considered outliers\n\t\u2043\tOutliers are replaced by | 100 | above Q99 are considered outliers\n\t\u2043\tOutliers are replaced by | ||
101 | NaNs.\n\n\tMissing data: \n\t\u2043\tData holes of less than 3 hours | 101 | NaNs.\n\n\tMissing data: \n\t\u2043\tData holes of less than 3 hours | ||
102 | are interpolated linearly for all variables\n\t\u2043\tData holes of | 102 | are interpolated linearly for all variables\n\t\u2043\tData holes of | ||
103 | more than 3 hours are replaced using the monthly nan-mean of the | 103 | more than 3 hours are replaced using the monthly nan-mean of the | ||
104 | considered hour if more than 50% of the qualifying data points are | 104 | considered hour if more than 50% of the qualifying data points are | ||
105 | available. For instance, if the data point 2022-12-12 12:12:00, is | 105 | available. For instance, if the data point 2022-12-12 12:12:00, is | ||
106 | missing for a given variable and is part of a data hole larger than 3 | 106 | missing for a given variable and is part of a data hole larger than 3 | ||
107 | hours, then it is replaced by the mean of all data points with hour = | 107 | hours, then it is replaced by the mean of all data points with hour = | ||
108 | 12 of the month of December 2022, if 50% of all the qualifying data | 108 | 12 of the month of December 2022, if 50% of all the qualifying data | ||
109 | points are not NaN. In case more than 50% of the qualifying points are | 109 | points are not NaN. In case more than 50% of the qualifying points are | ||
110 | missing, the data point remains as missing (NaN). \n\n\tWiring losses | 110 | missing, the data point remains as missing (NaN). \n\n\tWiring losses | ||
111 | :\n\t\u2043\tAs described in [1] , the test-site setup caused | 111 | :\n\t\u2043\tAs described in [1] , the test-site setup caused | ||
112 | abnormally large wiring losses, mainly due to the distance to | 112 | abnormally large wiring losses, mainly due to the distance to | ||
113 | optimisers and to the low installed power per DC-wire.\n\t\u2043\tThe | 113 | optimisers and to the low installed power per DC-wire.\n\t\u2043\tThe | ||
114 | wiring losses comprised between 10% and 15%, are averaged hourly and | 114 | wiring losses comprised between 10% and 15%, are averaged hourly and | ||
115 | added to the measured DC power. \n\t\n\tMisc.:\n\t\u2043\tP_AC is | 115 | added to the measured DC power. \n\t\n\tMisc.:\n\t\u2043\tP_AC is | ||
116 | computed for each segment based on the measured DC power and the | 116 | computed for each segment based on the measured DC power and the | ||
117 | average inverter\u2019s efficiency (96.1%).\n\t\u2043\tAs described in | 117 | average inverter\u2019s efficiency (96.1%).\n\t\u2043\tAs described in | ||
118 | [1], the peak power of the installed module, used to compute the | 118 | [1], the peak power of the installed module, used to compute the | ||
119 | final yield is slightly different from the values announced by the | 119 | final yield is slightly different from the values announced by the | ||
120 | manufacturer.\n\nMean uptime:\n\tRaw:\n\t\u2043\t95.2% | 120 | manufacturer.\n\nMean uptime:\n\tRaw:\n\t\u2043\t95.2% | ||
121 | \n\tProcessed:\n\t\u2043\t100% \n\nReferences:\n[1] \tD. Anderegg, S. | 121 | \n\tProcessed:\n\t\u2043\t100% \n\nReferences:\n[1] \tD. Anderegg, S. | ||
122 | Strebel, and J. Rohrer, \u201cAlpine Photovoltaik Versuchsanlage Davos | 122 | Strebel, and J. Rohrer, \u201cAlpine Photovoltaik Versuchsanlage Davos | ||
123 | Totalp : Erkenntnisse aus 5 Jahren Betrieb,\u201d de, Sep. \t2023, | 123 | Totalp : Erkenntnisse aus 5 Jahren Betrieb,\u201d de, Sep. \t2023, | ||
124 | Accepted: 2023-09-29T09:13:16Z Publisher: ZHAW Z\u00fcrcher Hochschule | 124 | Accepted: 2023-09-29T09:13:16Z Publisher: ZHAW Z\u00fcrcher Hochschule | ||
125 | f\u00fcr Angewandte Wissenschaften.DOI: 10.21256/\tzhaw-2524. | 125 | f\u00fcr Angewandte Wissenschaften.DOI: 10.21256/\tzhaw-2524. | ||
126 | [Online]. Available: | 126 | [Online]. Available: | ||
127 | https://digitalcollection.zhaw.ch/handle/11475/28797 (visited on | 127 | https://digitalcollection.zhaw.ch/handle/11475/28797 (visited on | ||
128 | 12/15/2023).", | 128 | 12/15/2023).", | ||
129 | "doi": "", | 129 | "doi": "", | ||
130 | "format": "ZIP", | 130 | "format": "ZIP", | ||
131 | "hash": "", | 131 | "hash": "", | ||
132 | "id": "1a7597fd-203a-427f-851a-009673c29374", | 132 | "id": "1a7597fd-203a-427f-851a-009673c29374", | ||
133 | "last_modified": "2024-01-17T10:45:24.854000", | 133 | "last_modified": "2024-01-17T10:45:24.854000", | ||
134 | "metadata_modified": "2024-01-17T09:45:25.475068", | 134 | "metadata_modified": "2024-01-17T09:45:25.475068", | ||
135 | "mimetype": "application/zip", | 135 | "mimetype": "application/zip", | ||
136 | "mimetype_inner": null, | 136 | "mimetype_inner": null, | ||
137 | "name": "A1.zip", | 137 | "name": "A1.zip", | ||
138 | "package_id": "40024d58-c912-499e-8f4f-8a9b9189955a", | 138 | "package_id": "40024d58-c912-499e-8f4f-8a9b9189955a", | ||
139 | "position": 0, | 139 | "position": 0, | ||
140 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | 140 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | ||
141 | "resource_type": null, | 141 | "resource_type": null, | ||
142 | "restricted": | 142 | "restricted": | ||
143 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | 143 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | ||
144 | "size": 5999205, | 144 | "size": 5999205, | ||
145 | "state": "active", | 145 | "state": "active", | ||
146 | "url": | 146 | "url": | ||
147 | 89955a/resource/1a7597fd-203a-427f-851a-009673c29374/download/a1.zip", | 147 | 89955a/resource/1a7597fd-203a-427f-851a-009673c29374/download/a1.zip", | ||
148 | "url_type": "upload" | 148 | "url_type": "upload" | ||
149 | }, | 149 | }, | ||
150 | { | 150 | { | ||
151 | "cache_last_updated": null, | 151 | "cache_last_updated": null, | ||
152 | "cache_url": null, | 152 | "cache_url": null, | ||
153 | "created": "2024-01-17T09:50:35.175197", | 153 | "created": "2024-01-17T09:50:35.175197", | ||
154 | "description": "Title: Monitoring data set at A2 (utility-scale | 154 | "description": "Title: Monitoring data set at A2 (utility-scale | ||
155 | power-plant Muttsee), months 10.2022-09.2023\nProvider: AXPO - IWB | 155 | power-plant Muttsee), months 10.2022-09.2023\nProvider: AXPO - IWB | ||
156 | Industrielle Werke Basel\nLast edition: 17.01.2024\nEditor: | 156 | Industrielle Werke Basel\nLast edition: 17.01.2024\nEditor: | ||
157 | Y.Frischholz, Laboratory of Cryospheric Sciences, EPFL \n\nFile name | 157 | Y.Frischholz, Laboratory of Cryospheric Sciences, EPFL \n\nFile name | ||
158 | structure: \nThe power-plant is made of 23 string boxes (GAK) and | 158 | structure: \nThe power-plant is made of 23 string boxes (GAK) and | ||
159 | inverters (WR) named after their given number. One file per device is | 159 | inverters (WR) named after their given number. One file per device is | ||
160 | provided in the data/ subfolder, following the same naming convention | 160 | provided in the data/ subfolder, following the same naming convention | ||
161 | (e.g. for the string box number 1, the file name is: | 161 | (e.g. for the string box number 1, the file name is: | ||
162 | \u201cA2_GAK01.csv\u201d and for the corresponding inverter, the file | 162 | \u201cA2_GAK01.csv\u201d and for the corresponding inverter, the file | ||
163 | name is \u201cA2_WR01.csv\u201d). Refer to the publication for further | 163 | name is \u201cA2_WR01.csv\u201d). Refer to the publication for further | ||
164 | details on the setup of the power plant.\n\nFile format:\nAll files | 164 | details on the setup of the power plant.\n\nFile format:\nAll files | ||
165 | are provided in the CSV format.\n\nColumn headings:\n\tString boxes | 165 | are provided in the CSV format.\n\nColumn headings:\n\tString boxes | ||
166 | and inverters (GAK & WR):\n\t\u2043\tdevice_name (string): name of the | 166 | and inverters (GAK & WR):\n\t\u2043\tdevice_name (string): name of the | ||
167 | device (same as file name) \n\t\u2043\ttimestamp (datetime64): time | 167 | device (same as file name) \n\t\u2043\ttimestamp (datetime64): time | ||
168 | stamp in format \u201cYYYY-MM-DD HH:mm:ss\u201d, time-zone: | 168 | stamp in format \u201cYYYY-MM-DD HH:mm:ss\u201d, time-zone: | ||
169 | UTC\n\n\tString boxes (GAK):\n\t\u2043\tI_# (double): input current | 169 | UTC\n\n\tString boxes (GAK):\n\t\u2043\tI_# (double): input current | ||
170 | from the substring number # (W)\n\t\u2043\tI_SUM (double): output | 170 | from the substring number # (W)\n\t\u2043\tI_SUM (double): output | ||
171 | current of string box (A)\n\t\u2043\tU_DC (double): output voltage of | 171 | current of string box (A)\n\t\u2043\tU_DC (double): output voltage of | ||
172 | string box (V)\n\t\u2043\tP_DC_# (double): input DC power from the | 172 | string box (V)\n\t\u2043\tP_DC_# (double): input DC power from the | ||
173 | substring number # (W) \n\t\u2043\tP_DC (double): output DC power of | 173 | substring number # (W) \n\t\u2043\tP_DC (double): output DC power of | ||
174 | string box (W) \n\t\u2043\t$S$_T#_$T$ (double): temperature from the | 174 | string box (W) \n\t\u2043\t$S$_T#_$T$ (double): temperature from the | ||
175 | sensor connected to the string box (empty if not existing), placed on | 175 | sensor connected to the string box (empty if not existing), placed on | ||
176 | the \u201cfront\u201d or \u201cback\u201d side (S) of table T. Two | 176 | the \u201cfront\u201d or \u201cback\u201d side (S) of table T. Two | ||
177 | types of temperature measurements (#) are available: 1=standard cell | 177 | types of temperature measurements (#) are available: 1=standard cell | ||
178 | temperature (\u00b0C) , 2=module temperature on the rear side | 178 | temperature (\u00b0C) , 2=module temperature on the rear side | ||
179 | (\u00b0C) .\n\t\u2043\t$S$_SRAD_T (double): poa irradiation (W/m**2) | 179 | (\u00b0C) .\n\t\u2043\t$S$_SRAD_T (double): poa irradiation (W/m**2) | ||
180 | from the sensor connected to the string box (empty if not existing), | 180 | from the sensor connected to the string box (empty if not existing), | ||
181 | placed on the \u201cfront\u201d or \u201cback\u201d side (S) of table | 181 | placed on the \u201cfront\u201d or \u201cback\u201d side (S) of table | ||
182 | T. \n\n\t\tInverters (WR):\n\t\u2043\tI_DC (double): input DC | 182 | T. \n\n\t\tInverters (WR):\n\t\u2043\tI_DC (double): input DC | ||
183 | current(A)\n\t\u2043\tU_DC(double): input DC | 183 | current(A)\n\t\u2043\tU_DC(double): input DC | ||
184 | voltage(V)\n\t\u2043\tP_DC (double): input DC power (W) | 184 | voltage(V)\n\t\u2043\tP_DC (double): input DC power (W) | ||
185 | \n\t\u2043\tP_AC (double): output AC power (W)\n\nPreprocessing:\n\t1. | 185 | \n\t\u2043\tP_AC (double): output AC power (W)\n\nPreprocessing:\n\t1. | ||
186 | Outliers: \n\t\u2043\tQuantiles Q1 and Q99 are computed for each | 186 | Outliers: \n\t\u2043\tQuantiles Q1 and Q99 are computed for each | ||
187 | variable\n\t\u2043\tValues below Q1 and above Q99 are considered | 187 | variable\n\t\u2043\tValues below Q1 and above Q99 are considered | ||
188 | outliers\n\t\u2043\tOutliers are replaced by NaNs.\n\t\n\t2. Missing | 188 | outliers\n\t\u2043\tOutliers are replaced by NaNs.\n\t\n\t2. Missing | ||
189 | data:\n\t\u2043\tData holes of less or equal to 3 hours are | 189 | data:\n\t\u2043\tData holes of less or equal to 3 hours are | ||
190 | interpolated linearly for all variables\n\t\u2043\tData holes of more | 190 | interpolated linearly for all variables\n\t\u2043\tData holes of more | ||
191 | than 3 hours are replaced using the monthly nan-mean of the considered | 191 | than 3 hours are replaced using the monthly nan-mean of the considered | ||
192 | hour if more than 50% of the qualifying data points are available. For | 192 | hour if more than 50% of the qualifying data points are available. For | ||
193 | instance, if the data point 2022-12-12 12:12:00, is missing for a | 193 | instance, if the data point 2022-12-12 12:12:00, is missing for a | ||
194 | given variable and is part of a data hole larger than 3 hours, then it | 194 | given variable and is part of a data hole larger than 3 hours, then it | ||
195 | is replaced by the mean of all data points with hour = 12 of the month | 195 | is replaced by the mean of all data points with hour = 12 of the month | ||
196 | of December 2022, if 50% of all the qualifying data points are not | 196 | of December 2022, if 50% of all the qualifying data points are not | ||
197 | NaN. In case more than 50% of the qualifying points are missing, the | 197 | NaN. In case more than 50% of the qualifying points are missing, the | ||
198 | data point remains as missing (NaN). \n\n\t3. Wiring | 198 | data point remains as missing (NaN). \n\n\t3. Wiring | ||
199 | losses:\n\t\u2043\tTo be consistent with A1, wiring losses are | 199 | losses:\n\t\u2043\tTo be consistent with A1, wiring losses are | ||
200 | corrected at A2. The wiring loss between the string boxes and the | 200 | corrected at A2. The wiring loss between the string boxes and the | ||
201 | inverters is removed by multiplying the value of input P_DC at the | 201 | inverters is removed by multiplying the value of input P_DC at the | ||
202 | inverter level (P_DC,inv) by the mean ratio P_DC,inv / P_DC,arr. | 202 | inverter level (P_DC,inv) by the mean ratio P_DC,inv / P_DC,arr. | ||
203 | \n\t\u2043\tThe computed mean wiring loss is 2.3\\%. It is computed | 203 | \n\t\u2043\tThe computed mean wiring loss is 2.3\\%. It is computed | ||
204 | from 2023-02-01 to 2023-09-30, after the long data hole in the data | 204 | from 2023-02-01 to 2023-09-30, after the long data hole in the data | ||
205 | sets of the string boxes. \n\t\nMean uptime:\n\tRaw:\n\t\u2043\tWR: | 205 | sets of the string boxes. \n\t\nMean uptime:\n\tRaw:\n\t\u2043\tWR: | ||
206 | 98.2%\n\t\u2043\tGAK*: 38.5%\n\tProcessed:\n\t\u2043\tWR: | 206 | 98.2%\n\t\u2043\tGAK*: 38.5%\n\tProcessed:\n\t\u2043\tWR: | ||
207 | 99.6%\n\t\u2043\tGAK*: 56.4%\n\t\n\t*The uptime at the string box | 207 | 99.6%\n\t\u2043\tGAK*: 56.4%\n\t\n\t*The uptime at the string box | ||
208 | level (GAK) is low because PMUs at this level shut down during steady | 208 | level (GAK) is low because PMUs at this level shut down during steady | ||
209 | and low signal leading to unavailable data at night. In addition, the | 209 | and low signal leading to unavailable data at night. In addition, the | ||
210 | 23 days downtime of \tJanuary 2023 could not be interpolated nor | 210 | 23 days downtime of \tJanuary 2023 could not be interpolated nor | ||
211 | replaced.\n", | 211 | replaced.\n", | ||
212 | "doi": "", | 212 | "doi": "", | ||
213 | "format": "ZIP", | 213 | "format": "ZIP", | ||
214 | "hash": "", | 214 | "hash": "", | ||
215 | "id": "e68bb1d0-915a-49a5-a108-c607356b1889", | 215 | "id": "e68bb1d0-915a-49a5-a108-c607356b1889", | ||
216 | "last_modified": "2024-01-17T10:52:05.792000", | 216 | "last_modified": "2024-01-17T10:52:05.792000", | ||
217 | "metadata_modified": "2024-01-17T09:52:06.419779", | 217 | "metadata_modified": "2024-01-17T09:52:06.419779", | ||
218 | "mimetype": "application/zip", | 218 | "mimetype": "application/zip", | ||
219 | "mimetype_inner": null, | 219 | "mimetype_inner": null, | ||
220 | "name": "A2.zip", | 220 | "name": "A2.zip", | ||
221 | "package_id": "40024d58-c912-499e-8f4f-8a9b9189955a", | 221 | "package_id": "40024d58-c912-499e-8f4f-8a9b9189955a", | ||
222 | "position": 1, | 222 | "position": 1, | ||
223 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | 223 | "resource_size": "{\"size_value\":\"\",\"size_units\":\"\"}", | ||
224 | "resource_type": null, | 224 | "resource_type": null, | ||
225 | "restricted": | 225 | "restricted": | ||
226 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | 226 | {\"level\":\"public\",\"allowed_users\":\"\",\"shared_secret\":\"\"}", | ||
227 | "size": 27177550, | 227 | "size": 27177550, | ||
228 | "state": "active", | 228 | "state": "active", | ||
229 | "url": | 229 | "url": | ||
230 | 89955a/resource/e68bb1d0-915a-49a5-a108-c607356b1889/download/a2.zip", | 230 | 89955a/resource/e68bb1d0-915a-49a5-a108-c607356b1889/download/a2.zip", | ||
231 | "url_type": "upload" | 231 | "url_type": "upload" | ||
232 | } | 232 | } | ||
233 | ], | 233 | ], | ||
234 | "spatial": | 234 | "spatial": | ||
235 | urement-data-sets-the-measured-potential-of-alpine-photovoltaics\"}}", | 235 | urement-data-sets-the-measured-potential-of-alpine-photovoltaics\"}}", | ||
236 | "state": "active", | 236 | "state": "active", | ||
237 | "subtitle": "", | 237 | "subtitle": "", | ||
238 | "tags": [ | 238 | "tags": [ | ||
239 | { | 239 | { | ||
240 | "display_name": "ALPS", | 240 | "display_name": "ALPS", | ||
241 | "id": "3aa4f693-d8ae-4c4b-a607-d0ec2f12f124", | 241 | "id": "3aa4f693-d8ae-4c4b-a607-d0ec2f12f124", | ||
242 | "name": "ALPS", | 242 | "name": "ALPS", | ||
243 | "state": "active", | 243 | "state": "active", | ||
244 | "vocabulary_id": null | 244 | "vocabulary_id": null | ||
245 | }, | 245 | }, | ||
246 | { | 246 | { | ||
247 | "display_name": "BIFACIALITY", | 247 | "display_name": "BIFACIALITY", | ||
248 | "id": "1a5e4493-2f10-4cce-8522-a19332279d9f", | 248 | "id": "1a5e4493-2f10-4cce-8522-a19332279d9f", | ||
249 | "name": "BIFACIALITY", | 249 | "name": "BIFACIALITY", | ||
250 | "state": "active", | 250 | "state": "active", | ||
251 | "vocabulary_id": null | 251 | "vocabulary_id": null | ||
252 | }, | 252 | }, | ||
253 | { | 253 | { | ||
254 | "display_name": "PHOTOVOLTAIC", | 254 | "display_name": "PHOTOVOLTAIC", | ||
255 | "id": "4d8ab113-9726-4978-9d61-2add0a5f0b05", | 255 | "id": "4d8ab113-9726-4978-9d61-2add0a5f0b05", | ||
256 | "name": "PHOTOVOLTAIC", | 256 | "name": "PHOTOVOLTAIC", | ||
257 | "state": "active", | 257 | "state": "active", | ||
258 | "vocabulary_id": null | 258 | "vocabulary_id": null | ||
259 | }, | 259 | }, | ||
260 | { | 260 | { | ||
261 | "display_name": "SNOW", | 261 | "display_name": "SNOW", | ||
262 | "id": "c4e9ea3f-6149-45ce-8631-c872b96a9537", | 262 | "id": "c4e9ea3f-6149-45ce-8631-c872b96a9537", | ||
263 | "name": "SNOW", | 263 | "name": "SNOW", | ||
264 | "state": "active", | 264 | "state": "active", | ||
265 | "vocabulary_id": null | 265 | "vocabulary_id": null | ||
266 | }, | 266 | }, | ||
267 | { | 267 | { | ||
268 | "display_name": "WINTER ELECTRICITY", | 268 | "display_name": "WINTER ELECTRICITY", | ||
269 | "id": "72397e0f-3384-43ce-ab66-39a09532553b", | 269 | "id": "72397e0f-3384-43ce-ab66-39a09532553b", | ||
270 | "name": "WINTER ELECTRICITY", | 270 | "name": "WINTER ELECTRICITY", | ||
271 | "state": "active", | 271 | "state": "active", | ||
272 | "vocabulary_id": null | 272 | "vocabulary_id": null | ||
273 | } | 273 | } | ||
274 | ], | 274 | ], | ||
275 | "title": "Monitoring data sets of alpine photovoltaic power-plants", | 275 | "title": "Monitoring data sets of alpine photovoltaic power-plants", | ||
276 | "type": "dataset", | 276 | "type": "dataset", | ||
277 | "url": null | 277 | "url": null | ||
278 | } | 278 | } |