{"id":3738,"date":"2024-01-15T09:45:46","date_gmt":"2024-01-15T08:45:46","guid":{"rendered":"https:\/\/blogs.ethz.ch\/energy\/?p=3738"},"modified":"2025-06-30T18:46:25","modified_gmt":"2025-06-30T16:46:25","slug":"open_energy_data","status":"publish","type":"post","link":"https:\/\/energyblog.ethz.ch\/de\/open_energy_data\/","title":{"rendered":"Die Kraft offener Energiedaten in der Schweiz entfesseln: Lehren aus dem Energiedatengipfel"},"content":{"rendered":"\n

The Energy Data Summit, held during Energy Week @ ETH 2023,  participants discussed the pivotal role of open energy data in Switzerland’s energy transition. Our blog discusses the key takeaways of the summit, including the significance of energy data, the current status of open energy data in Switzerland, and the existing challenges and potential solutions. Enjoy!<\/p>\n\n\n\n

During the first week of December, the Energy Science Center<\/a> hosted the Energy Week @ ETH<\/a>, an event exploring some of the most pressing issues for the energy transition in Switzerland.<\/p>\n\n\n\n

Data came into focus at the first Energy Data Summit<\/a>, co-hosted with the Energy Data Hackdays<\/a>, with participants from industry, academia, and the government. During the event, discussions highlighted the importance of data in the Swiss energy transition, the current status of open energy data in Switzerland, existing challenges and possible next steps to overcome them. We summarize here the most important takeaways of the Energy Data Summit. Enjoy!<\/p>\n\n\n\n

What exactly do we mean with open energy data?<\/strong><\/h2>\n\n\n\n

Energy data refers to statistics, measurements, and any other information related to various aspects of energy production and consumption. Open energy data refers to energy data that is openly available and accessible to the public, typically provided in a structured and machine-readable format<\/a>. Examples of energy data can include: consumption data; electricity production and trade volumes; industrial and residential heating demand;; vehicle driving patterns; solar, wind, and other resource potentials; and energy market data, like prices, investment costs, and subsidies.<\/p>\n\n\n\n

Why do we need data for the Swiss energy transition?<\/strong><\/h2>\n\n\n\n

First, data increases the understanding of energy production and consumption patterns, offering insights for both operating and planning energy system development. Real-time consumption data allows energy suppliers to understand and forecast electricity demand and, therefore, improve the efficiency of their operations. Data is also a game changer for cantons, municipalities, and utilities by enabling them to make informed and context-appropriate energy infrastructure investment decisions. For example, the local energy provider in H\u00f6fe has real-time smart meter data from all their consumers and uses it to decide on infrastructure development, taking decisions based on observed trends \u2014 like the use of electric cars and heat pump installations. According to Arne K\u00e4hler, the CEO of EW H\u00f6fe<\/a>, “Without data, we will hardly be able to meet the challenge of the future in the energy sector.”<\/p>\n\n\n\n

Second, data accessibility fosters competition and comparison among consumers, be it households, municipalities, or cantons. As Philipp Sch\u00fctz, professor at HSLU<\/a>, points out, \u201cA big driver for implementation could be [\u2026] social competition\u2014am I doing better or worse than my neighbor?\u201d  For instance, households equipped with smart meters can easily track and compare their energy usage patterns, which could lead to a desire to outperform or at least align with the practices of their neighbors. On a broader scale, municipalities and cantons can leverage the availability of aggregated energy data to benchmark their performance against neighboring regions. This kind of comparative analysis provides valuable insights into best practices and areas for improvement in energy management and production.<\/p>\n\n\n\n

Finally, real-world data supports different research activities focused on the design of future energy systems and markets. For example, one of the topics highly debated at the Summit is the idea of influencing consumption patterns based on the availability of solar power, using   dynamic electricity tariffs. Academic research could help understand the possibilities and impacts of tariff design options, but only if hourly electricity consumption data is available.<\/p>\n\n\n\n

In summary, data reveals trends and ensures transparency; both in turn lead to knowledge that helps inform decision making and drive innovation.<\/p>\n\n\n\n

What is the status of open energy data in Switzerland? <\/strong><\/h2>\n\n\n\n

The different actors of the energy sector in Switzerland \u2013 industry, academia, and the federal, cantonal and municipal governments, \u2013  are slowly moving towards open energy data. However,  several barriers remain to obtaining complete and reliable data.<\/p>\n\n\n\n

The most significant challenge is the fact that energy data of public interest is often not publicly available and sharing it is challenging due to lack of know-how and standards, data protection issues, and a general lack of incentives. Matthias Galus, Head Geoinformation & Digital Innovation from the Swiss Federal Office of Energy (SFOE), shed some light on why this might be: \u201cWe don’t have any explicit requirements or regulatory framework enforcing open energy data as to who should publish what. Also, there are no incentives for energy companies or network operators. […] Then, data protection comes in as a handy argument not to share data, without making any effort to analyze what\u2019s actually possible.\u201d<\/p>\n\n\n\n

The second challenge is that, \u201cdata is available, but data exchange doesn’t work so well, if at all\u201d, as highlighted by Nicolas Lanz, head of Energy Supply in Canton Bern, and multiple other summit participants. Even when data is available, the sharing process is often inefficient and poorly organized, which implies significant efforts for the data providers. Moverer, the data itself is of inconsistent quality, resulting in high processing efforts for people using the data.<\/p>\n\n\n\n

Benchmarking Switzerland against its European counterparts also highlights a notable gap in data availability and accessibility. Discussions at the summit pointed to two main factors contributing to this disparity: Switzerland has so many actors that coordination can be a challenge \u2014there are more than 600 electricity utilities alone, all of whom lack incentives and\/or mandates for data sharing. In contrast, the EU has long-standing regulations and requirements for data sharing<\/a>, many stemming from their electricity market liberalization<\/a>.<\/p>\n\n\n\n

While still not advanced in data sharing, Switzerland has also made important progress. Here are a few examples:<\/p>\n\n\n\n