This project was worked on during the virtual Hack...","hashtag":"","id":65,"ident":null,"image_url":"","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"Notebook\r\n\u25baPitch\r\n\r\n\r\n\r\n\r\n# Challenge #10 \r\n\r\n([english below](#english))\r\n\r\n## Warum:\r\n\r\nDie Verbreitung der Solar-Photovoltaik in der Schweiz ist nur in grossem Umfang m\u00f6glich, wenn sie wirtschaftlich sinnvoll ist und gleichzeitig die Treibhausgasemissionen reduziert. \r\n\r\n##Idee:\r\nDiese beiden Faktoren k\u00f6nnen durch einen Vergleich der Lebenszykluskosten (LCC) und der Lebenszyklustreibhausgasemissionen (LCE) mit ihrem lokalen Stromtarif und dem LCE des Strom-mixes der Versorgungsunternehmen bewertet werden. Die LCC und die LCE variieren f\u00fcr jedes einzelne PV-System, abh\u00e4ngig von ihrer Gr\u00f6sse, den erneuerbaren Ressourcen und anderen technischen Faktoren. \r\n\r\nAngesichts der bisherigen Erfahrungen des PSI \u00fcber das [PV-Erzeugungs-potenzial und -kosten](https://www.bfe.admin.ch/bfe/de/home/news-und-medien/publikationen/_jcr_content/par/externalcontent.external.exturl.pdf/aHR0cHM6Ly9wdWJkYi5iZmUuYWRtaW4uY2gvZGUvcHVibGljYX/Rpb24vZG93bmxvYWQvOTgyNi5wZGY=.pdf) kann diese Analyse durchgef\u00fchrt werden, um mehr Erkenntnisse dar\u00fcber zu gewinnen, wo der Einsatz von Solarphotovoltaik in der Schweiz am sinnvollsten ist.\r\n\r\n\r\n# Where solar photovoltaics make the most sense\r\n\r\n##The big picture:\r\n\r\nThe rollout of solar photovoltaics to a great extent in Switzerland is only possible when they make economic sense and at the same time reduce greenhouse gas emissions.\r\n\r\n## Idea:\r\n\r\nThese two factors can be assessed by comparing the Life Cycle Cost (LCC) and Life Cycle greenhouse gas Emissions (LCE), with their local electricity tariff and the LCE of electricity mix supplied by utility providers. The LCC and LCE varies for each individual PV system, depending on their size, renewable resources, and other technical factors.\r\n\r\nGiven the previous experience on [PV costs and generation potential](https://www.bfe.admin.ch/bfe/de/home/news-und-medien/publikationen/_jcr_content/par/externalcontent.external.exturl.pdf/aHR0cHM6Ly9wdWJkYi5iZmUuYWRtaW4uY2gvZGUvcHVibGljYX/Rpb24vZG93bmxvYWQvOTgyNi5wZGY=.pdf), this analysis can be undertaken to give more insights on where it makes the most sense to deploy solar photovoltaics in Switzerland.\r\n\r\n# Call for expertise\r\n\r\n1. GIS expert\r\n2. Application/UI developer\r\n3. Energy consultant/scientist\r\n4. Expert from government/utilities working on PV system rollout/implementation\r\n\r\n# Questions to answer in two perspectives:\r\n\r\n1. Country-wide (mainly analysis): \r\nhow much potential do we have for Switzerland considering LCC and LCE in a realistic sense\r\n\r\n2. Individual resident (requires UI): \r\n - Does it make sense to install PV on top of my roof\r\n - How can I find residents around me with similar conditions/interest to reduce system investment cost (economy of scale)\r\n\r\n# Data\r\n\r\n1. levelized cost of electricity for each roof in Switzerland from [this analysis](https://www.bfe.admin.ch/bfe/de/home/news-und-medien/publikationen/_jcr_content/par/externalcontent.external.exturl.pdf/aHR0cHM6Ly9wdWJkYi5iZmUuYWRtaW4uY2gvZGUvcHVibGljYX/Rpb24vZG93bmxvYWQvOTgyNi5wZGY=.pdf) by [Technology Assessment Group, Laboratory for Energy Systems Anlaysis, PSI](https://www.psi.ch/en/ta)\r\n2. local electricity mix by electricity generation technology for municipalities and entities in 2018, obtained from [Stromkennzeichnung](https://www.strom.ch/de/service/stromkennzeichnung)\r\n3. 2 sources for PV potential in Switzerland\r\n - data from [Sonnendach](https://www.uvek-gis.admin.ch/BFE/sonnendach/)\r\n - data from [Walch, A. 2020](https://zenodo.org/record/3609833#.XmFSEvlKiUl)\r\n4. life cycle greenhouse gas emissions (LCE) per kWh for different electricity generation technologies based on [ecoinvent version 3.6](https://www.ecoinvent.org/home.html)\r\n5. electricity tariffs in Switzerland from [ElCom](https://www.strompreis.elcom.admin.ch/Start.aspx)\r\n6. simulating the performance of photovoltaic energy systems (pvlib-python)\r\n * is a community supported tool that provides a set of functions and classes for simulating the performance of photovoltaic energy systems. It was originally ported from the PVLIB MATLAB toolbox developed at Sandia National Laboratories.\r\n * see more on project gibhub page https://github.com/pvlib/pvlib-python\r\n7. remuneration from electricity providers\r\n * an official portal providing numbers on compensating the electricity production using PV in households - pvtarif.ch\r\n * https://www.vese.ch/wp-content/uploads/pvtarif/pvtarif2/appPvMapExpert/pvtarif-map-expert-de.html\r\n * there is an API but the data license forbids any use of this data in digital form in research\r\n\r\n# Thinking process\r\n\r\n> In this project we did additional study and compiled research notes, sample data and suggestions, expanding on the [original challenge](#challenge)\r\n\r\n1. Limitations of the solardach.ch calculator\r\n\r\n * 1.1 Number of factors: it considers factors like solar irradiance, angle of roof area, shading. The new study also considers additional factors like temperature (which affects the module efficiency), obstacle structure on roof (based on machine learning) = more realistic estimate --> use data from new study\r\n * 1.2 Calculation not based on current technology/efficiency factor: Someone planning to build a new PV installation would (reasonably) use the latest technology, while most calculations by tools are based on averages (which consist of a mix of old and new technology). Estimates for kWh potential might be 1/3 to 1/2 too pessimistic. --> use better data based on new technologies?\r\n * 1.3 Grid network restrictions (maximum power which can be fed into the network): depending on location (more rural = usually worse), maximum capacity which can be fed into the network is much lower, dependent on three factors: connecting cable ampacities, voltage range limitation, and transformer power rating. Data on these three factors is proprietary information of the electricity companies. Might be in a range between 0 and 90% restriction on potential \r\n--> data is not openly available. Is there any way we can find a proxy? (especially for CH-wide potential estimate) --> for individuals data might be retrievable from their energy provider for inclusion in calculators (e.g BKW online portal offers the information for individuals for their own place)\r\n\r\n2. Calculate potential (economical)\r\n * 2.1 Consider energy usage in network: network limitations might be less extreme because numbers given are based on no consumption --> unclear how this can be estimated\r\n * 2.2 effects of everyone having PV installed: excess energy supply at peak times in an area = limitation of the network\r\n3. Calculate potential (environmental) \r\n * 3.1 data on energy mix by city is available\r\n\r\n[Link to Drawing of data structure](https://drive.google.com/file/d/1hdXWuEQ3qG2gAY1OlJggGDt9uaNiOndE/view?usp=sharing)\r\n\r\n\r\n## Network Limitations\r\n\r\nThe past generation potential estimates don't seem to take into account the limitations of the network infrastructure.\r\nThere are three limiting factors related to adding PV to the existing network: connecting cable ampacities, voltage range limitation, and transformer power rating:\r\n\r\n* the voltage increase due to feeding in from a new PV cannot exceed +3% threshold allowed by law\r\n* the current increase due to feeding in from a new PV cannot cause the current to exceed a cable rating (on the entire chain from house to transformer)\r\n* the power fed in by a new PV cannot exceed the transformer rating; the ones connected to the medium voltage grid or others connecting any intermediate subtransmission (1000V intermediate voltage system) network\r\n\r\nThe available public data does not include any of this (cable ratings, network topology, transformer ratings) since it is all proprietary to the power company (Elektrizit\u00e4tsversorgungsunternehmen or EVU).\r\n\r\nUsing proprietary data and comparing the Sonnendach available roof area capacity (sum of all roof sections identified, i.e. good, marginal and bad, using the maximum area) with the calculated maximum feed in values for the electrical connection of the utility, shows a large overestimate of the energy capacity for rural and industrial sites.\r\n\r\n| Location | Type | Sonnendach | Network Max | % Over |\r\n| --------- | ---------- | ---------- | ----------- | ------ |\r\n| Uerzlikon | house | 75500 | 59000 | 28 |\r\n| Uerzlikon | house | 61700 | 71000 | 0 |\r\n| Uerzlikon | apt 2\u00bd | 56800 | 48000 | 18 |\r\n| Uerzlikon | farm | 128300 | 29750 | 331 |\r\n| Uerzlikon | farm | 505400 | 33850 | 1393 |\r\n| Biel | industrial | 235400 | 183000 | 29 |\r\n| Biel | industrial | 244300 | 140000 | 75 |\r\n\r\nThe network maximum is calculated under the worst case assumption that all PV (proposed and installed) are generating at the maximum (peak) value and no consumption is occuring. By and large, the majority of these limitations are based on an over-voltage situation (>3% above nominal). This engineering limit would not normally apply when the PV owner self-consumes or the energy is shared with neighboring consumers.\r\n\r\nThese network maximums are also calculated when only one additional PV is installed (at the indicated site). So this brings up the additional issue that, should everyone in an transformer service area have a PV installation, these maximum values would be replaced by other limitations, for example overloading of shared cables, overloading of supplying transformers or general over-voltage conditions from multiple injection points. A more detailed analysis is needed on a per transformer service area basis with perhaps PV installations at only the most opportune locations (large area, south facing roofs).\r\n\r\nThus, the \u201cLife Cycle Cost\u201d, LCC, would need to include upgrades to the network infrastructure with the addition of large amounts of PV, or the maximum potential for PV installation would need to be adjusted downwards under the assumption of no network upgrades.\r\n\r\nRegarding the proprietary data needed for the engineering analysis:\r\n\r\n* the data is owned separately by each of the over two hundred EVU in Switzerland\r\n* these EVU are very unlikely to be able to provide this network data due to privacy restrictions and competitive considerations\r\n* only a small fraction of the German speaking EVU are doing this maximum feed in analysis on a broad scale\r\n* for these few, the best approach may be to provide a list of candidate sites with kW suggested and ask if their network can support this size of installation at those sites","maintainer":"nikki_bhler","name":"Photovoltaic: Where is it Best?","phase":"Research","progress":10,"score":56,"source_url":"https://github.com/xiaoshir/Photovoltaic-Where-is-it-Best-","stats":{"commits":0,"during":0,"people":0,"sizepitch":11379,"sizetotal":11424,"total":0,"updates":0},"summary":"Where solar photovoltaics make the most sense","team":"nikki_bhler","team_count":0,"updated_at":"2020-08-31T08:15","url":"https://new-hack.energy.opendata.ch/project/65","webpage_url":"https://md.schoolofdata.ch/uxm9hAUMQECO5beIHCG99g?view"},{"autotext":"","autotext_url":"TBA","category_id":"","category_name":"","contact_url":"http://Gantrisch-Energie.ch/","created_at":"2020-07-30T08:59","download_url":"","event_name":"Energy Data Hackdays 2020","event_url":"https://new-hack.energy.opendata.ch/event/5","excerpt":" Introduction
\r\n\r\nSwiss law (StromVV Art 8a) requires all installed smartmeters to offer a local \"consumer information interface\" (CII) to provide all measured data at the moment of its recording. Despite 2+ years since this has become mandatory by the end of 2017 it is still very hard to obtain sufficient information from the DSO (distribution system operator) on the particular CII put in place on the installed smartmeter.\r\n\r\nDifferent technical interfaces (CII) are in use on various s...","hashtag":"","id":66,"ident":null,"image_url":"","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":" Introduction
\r\n\r\nSwiss law (StromVV Art 8a) requires all installed smartmeters to offer a local \"consumer information interface\" (CII) to provide all measured data at the moment of its recording. Despite 2+ years since this has become mandatory by the end of 2017 it is still very hard to obtain sufficient information from the DSO (distribution system operator) on the particular CII put in place on the installed smartmeter.\r\n\r\nDifferent technical interfaces (CII) are in use on various smartmeters in Switzerland which inhibits interoperability for innovative solutions. It is almost impossible to find publicly available information on what kind of CII is offered by the 600+ different DSO of Switzerland.\r\n\r\nWhere as in the netherlands, the energy sector organisation (netbeheernederland.nl similar to VSE in Switzerland) has required all smartmeters installed during the past years already to offer the same well designed CII called DSMR P1 (also adopted by Belgium and Luxembourg), the swiss authorities or the market participants have regrettably not decided on a mandatory standard to be required. This unfortunate situation has inhibited the market in Switzerland for innvovative applications. And a large amount of money and ressources is currently spent (and are finally wasted) by installing additional private energy meters behind the DSO's smartmeter. \r\n\r\nSee also [D]: https://forume.ch/t/kundenschnittstelle-der-intelligenten-messsysteme/938/4\r\n\r\nLet's try to improve on that.\r\n
\r\n Motivation
\r\nOne motivation to use the CII beyond visualisation might come from the following problem definition: \r\n
\r\nPhotovoltaic systems (PVS) with an output of 5-15 kW are increasingly being installed on roofs of swiss houses. Often there is a 300 L electric boiler connected on 3 phases of 400 V with a power of 6 kW for the hot water demand, which is charged during the night via a ripple control of the DSO. Because Art 8c of the StromVV has obliged the DSOs since 2018 to remunerate the customer for such flexibility useful to the grid, some DSOs remove the ripple control when connecting a new PVS to the grid and at the same time installing a smartmeter.\r\n
\r\nIf energy is permanently supplied to the electric boiler, around 30-50% of the annually required heating energy of approx. 3.8 MWh/a [1] can already be used from the PVS production. By means of an electronic control system, an additional max. of 40% of the grid supply could be substituted trough PVS production. With a tariff difference between the feed-in tariff and grid procurement of approx. 100 Fr/MWh, savings of only 150 Fr per year would result.\r\n
\r\nFor an economic solution, the costs for the necessary power control (including installation) should not exceed a few 100 Fr. However, many products available today [2] quickly require investment costs of 1'000 - 3'000 Fr which is far beyond any efficient and economically justifiable solution.\r\n
\r\n[1] https://www.energie-lexikon.info/warmwasser.html\r\n
\r\n[2] Example: (a) Energy4me units 1'083 Fr [ control unit 377 Fr, switching power supply 39 Fr, AC meter 248 Fr, thyristor controller 280 Fr, mains filter 139 Fr ] Q:https://www.energy4me.ch/energiemanagement/ (b) Expenses for electricians for installations: 500-1'000 Fr.\r\n
\r\n
\r\n\r\n
Goals & tasks
\r\nTogether we shall discuss and demonstrate how easy and cost-efficient a simple solution to this scenario can be put in place using DSMR-P1 with an ESP Microcontroller and a piece of open-source software coupled with a very affordable wifi-enabled powerswitch-actor. Attaching any of the various visualisation- or energymanagement-sytems (EMS) for home automation over MQTT might then be relatively straight-forward.\r\n\r\nBut the key challenge is how to deal with the diversity of CII such that all citizens may get easy and efficient access to their own owned energy data. Many additional questions still have to be worked on. We hope that we may tackle some of these together with the expertise of those supporting this challenge.\n\n---\r\n`29.08.2020 07:19` \r\nWe developed a concept and PoC roadmap to provide a \"universal\" adapter from smart meters to home IoT platforms, see \"Source\" for details.","maintainer":"GEAG","name":"Unleashing the Swiss Smartmeter's CII","phase":"Training","progress":20,"score":54,"source_url":"https://github.com/tamberg/makeopendata-smart-meter-interop","stats":{"commits":0,"during":0,"people":0,"sizepitch":4242,"sizetotal":4360,"total":0,"updates":0},"summary":"Empower citizens to use their energy data. Using the smartmeter's CII beyond visualisation to steer local consumption.","team":"GEAG","team_count":0,"updated_at":"2020-08-31T07:21","url":"https://new-hack.energy.opendata.ch/project/66","webpage_url":""},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydat-ehr6560.slack.com/archives/CUZDUCFA9","created_at":"2020-03-06T09:55","download_url":"","event_name":"Energy Data Hackdays 2020","event_url":"https://new-hack.energy.opendata.ch/event/5","excerpt":"Help meet the Paris Convention goals to achieve net 0 by 2050, less than 2 tonnes CO^2 per person! We want to raise awareness around energy use and consumption by putting Switzerland on the map at [electricitymap.org](https://www.electricitymap.org/) and put its open data API to use. (Challenge #11)\r\n\r\n---\r\n`28.08.2020 15:04` First solution ideas have been explored and discussed. Beer has been deployed.\r\n`28.08.2020 23:00` Despite some hurdles we got everything ready for our idea but realised...","hashtag":"","id":67,"ident":null,"image_url":"","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"Help meet the Paris Convention goals to achieve net 0 by 2050, less than 2 tonnes CO^2 per person! We want to raise awareness around energy use and consumption by putting Switzerland on the map at [electricitymap.org](https://www.electricitymap.org/) and put its open data API to use. (Challenge #11)\r\n\r\n---\r\n`28.08.2020 15:04` First solution ideas have been explored and discussed. Beer has been deployed.\r\n`28.08.2020 23:00` Despite some hurdles we got everything ready for our idea but realised that it won't be accepted by electricity maps.\r\n`29.08.2020 11:00` Complete restart to a much simpler model that will hopefully be accepted by electricity maps and still be better a gray spot on tha map.\r\n\r\n---\r\n`29.08.2020 13:40` Ideas are tested and documented. However, it's not running live.","maintainer":"oleg","name":"Put CH on Electricity Map","phase":"Training","progress":20,"score":53,"source_url":"","stats":{"commits":0,"during":3,"people":1,"sizepitch":797,"sizetotal":845,"total":4,"updates":2},"summary":"Raise awareness and support global climate goals","team":"oleg, Raphaela","team_count":1,"updated_at":"2022-09-29T12:23","url":"https://new-hack.energy.opendata.ch/project/67","webpage_url":"https://app.electricitymaps.com/zone/CH"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"","created_at":"2020-07-20T11:24","download_url":"","event_name":"Energy Data Hackdays 2020","event_url":"https://new-hack.energy.opendata.ch/event/5","excerpt":"(Challenge #13) \r\n\r\nThis task will create a decision support tool for asset managers. The utility asset manager will be able to put results of transformer inspections into the tool and receive:\r\n\r\n1. A health value for the transformer (\"condition-based rating\")\r\n2. A comparison of the transformer's health with other transformers from all over the world\r\n3. Possible faults, based in particular on gas levels\r\n4. A prediction on how the transformer's health will degrade in the next 1-2 years, based...","hashtag":"","id":68,"ident":null,"image_url":"","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"(Challenge #13) \r\n\r\nThis task will create a decision support tool for asset managers. The utility asset manager will be able to put results of transformer inspections into the tool and receive:\r\n\r\n1. A health value for the transformer (\"condition-based rating\")\r\n2. A comparison of the transformer's health with other transformers from all over the world\r\n3. Possible faults, based in particular on gas levels\r\n4. A prediction on how the transformer's health will degrade in the next 1-2 years, based on how similar transformers have behaved\r\n5. Advice on what gas levels to monitor, and how to watch them\r\n\r\nA central part of the task is to conduct the analysis *without* a centralised dataset, and *without* being able to see the asset information of other transformers. The analyst is working blind to protect the privacy of the transformer owners! This is achieved using TAC, a system provided by the challenge sponsor, VIA. \r\n \r\nThe steps we are taking in the hackathon are:\r\n\r\n1. To identify typical condition curves\r\n2. To match these curves to the test transformer\r\n3. To map the changes in health over time for the matching transformer, in particular looking at gas levels\r\n4. To predict how the test transformer will change with time by generating a heatmap and plotting the test transformer to the heatmap\r\n5. Visualisation and business value!\r\n\r\nWe have four datasets that we can use:\r\n\r\n1. A global repository of transformers that we access using VIA's privacy-preserving TAC system (including fault information)\r\n2. An anonoymised database of Swiss transformers\r\n3. A list of faulty transformer readings, from the IEC60590 standard\r\n4. A list of normal transformer readings, from the IEC60950 standard\r\n\r\nThe decision support tool will be combined with online and offline asset management approaches. It will be combined with load and geospatial data to create an exploitable tool.\n\n---\r\n`31.08.2020 12:37` \n\nPrototyping has been completed and now the project will be taken forward for funding\r\n\r\n---\r\n`31.08.2020 12:38` ","maintainer":"","name":"Distributed analytics for asset management","phase":"Prototype","progress":30,"score":50,"source_url":"","stats":{"commits":0,"during":0,"people":0,"sizepitch":2034,"sizetotal":2113,"total":0,"updates":0},"summary":"Using AI to predict how power transformers will fail, and what to watch out for","team":"","team_count":0,"updated_at":"2020-08-31T12:38","url":"https://new-hack.energy.opendata.ch/project/68","webpage_url":""},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://openenergydat-ehr6560.slack.com/archives/CUZCQRP6U","created_at":"2020-01-14T14:19","download_url":"","event_name":"Energy Data Hackdays 2020","event_url":"https://new-hack.energy.opendata.ch/event/5","excerpt":"
Slides\r\n
Notebook\r\n
\u25baPitch\r\n\r\n
This project was worked on during the virtual Hackdays in March. / An diesem Pro...","hashtag":"","id":69,"ident":null,"image_url":"","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"Slides\r\nNotebook\r\n\u25baPitch\r\n\r\n\r\n\r\n# Challenge\r\n\r\n**Kundensegmentierung/-Analyse auf Basis offener Daten vs Daten eines Energieversorgungsunternehmens**. Beispiele haben bereits gezeigt, dass eine Kundenanalyse/Kundensegmentierung auf Basis offener Daten bereits m\u00f6glich ist und es keine Kundendaten mehr ben\u00f6tigt. Ist dem so und wenn ja, wie sieht es aus?\r\n\r\n","maintainer":"nikki_bhler","name":"Client-Analysis 2.0 ","phase":"Research","progress":10,"score":42,"source_url":"","stats":{"commits":0,"during":0,"people":0,"sizepitch":940,"sizetotal":966,"total":0,"updates":0},"summary":"and the power of open data","team":"nikki_bhler","team_count":0,"updated_at":"2020-08-24T15:36","url":"https://new-hack.energy.opendata.ch/project/69","webpage_url":"https://speakerdeck.com/player/630b676236e04830bd3802865dfee042?title=false&skipResize=true"}],"name":"projects"}],"sources":[{"path":"https://new-hack.energy.opendata.ch/","title":"dribdat"}],"title":"Energy Data Hackdays 2020","version":"0.9.3"}
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The contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.![](\"https://upload.wikimedia.org/wikipedia/commons/thumb/5/52/YouTube_social_white_circle_%282017%29.svg/240px-YouTube_social_white_circle_%282017%29.svg.png\")
\r\n\r\n- [Challenge presentations](https://youtu.be/auUMzK257c8)\r\n- [Team presentations, part I](https://youtu.be/WytZIBLyw_M)\r\n- [Team presentations, part II](https://youtu.be/hfu5MbZUnCg)\r\n\r\n