[{"data":1,"prerenderedAt":1116},["ShallowReactive",2],{"blog/curtailment-data":3,"content-query-BFUkJsT1BO":432,"newsArticles":736},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":8,"description":9,"publishedAt":10,"author":11,"tags":12,"image":14,"readingTime":15,"body":16,"_type":425,"_id":426,"_source":427,"_file":428,"_stem":429,"_extension":430,"sitemap":431},"/blog/curtailment-data","blog",false,"","Curtailment is Already in your P&L. Now you can see it.","Re‑Twin brings location‑specific curtailment directly into investment analysis, alongside the revenue, generation, and cash‑flow metrics you already rely on. This allows you to incorporate curtailment into your business case from day one, rather than discovering its impact after the investment has been made.","07-10-2026","Siddharth Tambat",[13],"product","/images/blog/curtailment-data/cover.webp",7,{"type":17,"children":18,"toc":412},"root",[19,25,30,37,41,48,53,58,65,71,76,103,108,114,118,123,155,166,171,177,182,187,192,197,202,214,219,225,235,245,255,260,266,278,297,302,308,367,373,378,390,394,400,404,408],{"type":20,"tag":21,"props":22,"children":24},"element","blog-cover-image",{"alt":8,"caption":8,"fit":23,"src":14},"contain",[],{"type":20,"tag":26,"props":27,"children":29},"blog-header",{":reading-time":28,"author":11,"date":10,"title":8},"7",[],{"type":20,"tag":31,"props":32,"children":33},"p",{},[34],{"type":35,"value":36},"text","When grid constraints require a renewable asset to be redispatched and its output reduced, the resulting curtailment usually reflects system‑level conditions rather than any limitation in the asset or its investment case. In high renewable markets like Germany, curtailment can be a routine operational feature. Thus, the question is not whether the curtailment will occur, but how much, when, and what it means for a project’s location and returns. If it is not assessed upfront, its impact can emerge later as an unexpected risk to revenues, cash flows, and overall investment performance.",{"type":20,"tag":31,"props":38,"children":39},{},[40],{"type":35,"value":9},{"type":20,"tag":42,"props":43,"children":45},"h2",{"id":44},"understanding-curtailment-at-the-project-level",[46],{"type":35,"value":47},"Understanding curtailment at the project level",{"type":20,"tag":31,"props":49,"children":50},{},[51],{"type":35,"value":52},"You already know the basic mechanism: grid congestion restricts how much electricity a renewable asset can deliver. When the grid cannot absorb the available generation, the grid operator issues a redispatch instruction and the plant temporarily reduces its output. The challenge is not understanding how curtailment works — it is knowing where it happens, how often it occurs, and what it means for the investment case of a specific site.",{"type":20,"tag":31,"props":54,"children":55},{},[56],{"type":35,"value":57},"A wind farm in Prignitz and one in the Allgäu may look identical in a spreadsheet, yet face completely different grid realities. National averages hide the differences that matter. When curtailment is visible at the level of the actual grid cell, it moves from an unknown risk to a measurable input — one that can be evaluated alongside weather, prices, and generation assumptions.",{"type":20,"tag":59,"props":60,"children":62},"h3",{"id":61},"_1-the-curtailment-map-know-where-to-look-closer",[63],{"type":35,"value":64},"1. 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The map is broken down into small hexagonal zones, with your project pinned in context (",{"type":20,"tag":82,"props":83,"children":84},"strong",{},[85],{"type":35,"value":86},"your asset location is highlighted with a purple marker",{"type":35,"value":88},"). Zoom out for the broader picture across the country, or zoom in to the immediate area surrounding your site. The color scale shows the level of curtailment in each zone (",{"type":20,"tag":82,"props":90,"children":91},{},[92],{"type":35,"value":93},"green indicates little to no curtailment, while red highlights areas with higher curtailment levels",{"type":35,"value":95},"). A timeline at the bottom of the map allows you to see how the curtailment profile has changed year over year (",{"type":20,"tag":82,"props":97,"children":98},{},[99],{"type":35,"value":100},"located at the bottom centre of the view",{"type":35,"value":102},").",{"type":20,"tag":31,"props":104,"children":105},{},[106],{"type":35,"value":107},"This allows you to quickly identify whether a target site sits in a low-congestion area or a location that requires closer investigation — helping you factor grid conditions into the investment case before they become a surprise later.",{"type":20,"tag":59,"props":109,"children":111},{"id":110},"_2-the-curtailment-matrix-the-hourly-fingerprint-of-your-region",[112],{"type":35,"value":113},"2. The curtailment matrix — the hourly fingerprint of your region",{"type":20,"tag":66,"props":115,"children":117},{"alt":68,"src":116},"/images/blog/curtailment-data/image-2.webp",[],{"type":20,"tag":31,"props":119,"children":120},{},[121],{"type":35,"value":122},"Curtailment is not only about where it happens — timing matters just as much. A site that experiences occasional curtailment at random hours has a very different investment profile from one where curtailment consistently occurs during the same periods. Understanding this hourly pattern is key to assessing the impact on generation and identifying potential opportunities.",{"type":20,"tag":31,"props":124,"children":125},{},[126,128,133,135,140,141,146,148,153],{"type":35,"value":127},"The Curtailment Matrix is automatically calculated for the exact site you are evaluating when you run a scenario in Investment Analysis. It shows the hourly curtailment pattern across every month and year, including ",{"type":20,"tag":82,"props":129,"children":130},{},[131],{"type":35,"value":132},"Peak Month",{"type":35,"value":134},", ",{"type":20,"tag":82,"props":136,"children":137},{},[138],{"type":35,"value":139},"Peak Hour",{"type":35,"value":134},{"type":20,"tag":82,"props":142,"children":143},{},[144],{"type":35,"value":145},"Curtailment Hours",{"type":35,"value":147},", and ",{"type":20,"tag":82,"props":149,"children":150},{},[151],{"type":35,"value":152},"Curtailment Probability (%)",{"type":35,"value":154}," for that specific location.",{"type":20,"tag":31,"props":156,"children":157},{},[158,160,165],{"type":35,"value":159},"In the example below, a solar generation site reaches its peak curtailment in August around 15:00 (",{"type":20,"tag":82,"props":161,"children":162},{},[163],{"type":35,"value":164},"highlighting the midday hours when solar generation is typically at its highest",{"type":35,"value":102},{"type":20,"tag":31,"props":167,"children":168},{},[169],{"type":35,"value":170},"This timing pattern is where additional value can emerge. If the grid is consistently reducing generation during the same hours, the curtailed energy represents a predictable source of available power that can be shifted to higher-value periods. The Curtailment Matrix helps determine whether co-located storage makes economic sense and supports sizing decisions based on when and how frequently redispatch occurs, rather than relying only on merchant arbitrage assumptions.",{"type":20,"tag":59,"props":172,"children":174},{"id":173},"_3-the-curtailment-trend-how-the-picture-is-evolving-by-dso",[175],{"type":35,"value":176},"3. The curtailment trend — how the picture is evolving by DSO",{"type":20,"tag":66,"props":178,"children":181},{"alt":179,"src":180},"Battery duration","/images/blog/curtailment-data/image-3.webp",[],{"type":20,"tag":31,"props":183,"children":184},{},[185],{"type":35,"value":186},"Curtailment is not static. Grid conditions change over time as renewable capacity grows, demand patterns shift, and network infrastructure evolves. A site that appears low-risk today may face increasing congestion in the future, making it important to understand how the local curtailment profile is developing over time.",{"type":20,"tag":31,"props":188,"children":189},{},[190],{"type":35,"value":191},"The Curtailment Trend shows how curtailment has evolved year on year for the Distribution System Operator (DSO) area where your asset is located. The view is automatically linked to your scenario location and plots the annual hourly curtailment profile, allowing you to see whether congestion in the region is improving or worsening.",{"type":20,"tag":31,"props":193,"children":194},{},[195],{"type":35,"value":196},"Continuing the same example, a PV site’s curtailed volume during midday hours increases from effectively zero in 2021–2022 to a 2025 peak above 20 MWh.",{"type":20,"tag":31,"props":198,"children":199},{},[200],{"type":35,"value":201},"This trend helps identify whether curtailment is becoming a growing risk or a potential opportunity. A rising curtailment profile can highlight where storage may create additional value, while also allowing investors to incorporate evolving grid conditions into their assumptions rather than relying only on historical performance.",{"type":20,"tag":31,"props":203,"children":204},{},[205,207,212],{"type":35,"value":206},"The Curtailment Matrix and Curtailment Trend are both region-specific — linked to the DSO and grid cell where your asset is located — and cover all four renewable classes: ",{"type":20,"tag":82,"props":208,"children":209},{},[210],{"type":35,"value":211},"solar, wind, storage, and hydro",{"type":35,"value":213},".",{"type":20,"tag":31,"props":215,"children":216},{},[217],{"type":35,"value":218},"The same map also includes additional layers alongside curtailment — operational and planned energy assets, existing grid infrastructure, and grid expansion plans — providing further context for site evaluation. We will explore these additional layers in more detail in a separate post.",{"type":20,"tag":42,"props":220,"children":222},{"id":221},"turning-curtailment-into-an-investment-input",[223],{"type":35,"value":224},"Turning curtailment into an investment input",{"type":20,"tag":31,"props":226,"children":227},{},[228,233],{"type":20,"tag":82,"props":229,"children":230},{},[231],{"type":35,"value":232},"Revenue modelling: u",{"type":35,"value":234},"se regional curtailment history to build a location-specific, evidence-based view of P50/P90 generation, rather than relying on flat industry averages that hide the local differences that matter.",{"type":20,"tag":31,"props":236,"children":237},{},[238,243],{"type":20,"tag":82,"props":239,"children":240},{},[241],{"type":35,"value":242},"Site screening:  b",{"type":35,"value":244},"efore commissioning a detailed grid study, check whether the target cell already has a history of redispatch. That history is valuable information in itself. It shows where connection capacity may become a constraint and helps you decide where deeper analysis is needed before committing time and capital. What previously took weeks can now be assessed in minutes.",{"type":20,"tag":31,"props":246,"children":247},{},[248,253],{"type":20,"tag":82,"props":249,"children":250},{},[251],{"type":35,"value":252},"The storage case:  p",{"type":35,"value":254},"ersistent, hour-concentrated curtailment is one of the clearest signals that a battery has a genuine, structural reason to exist in that location — not as a workaround for a grid constraint, but as a business case in its own right. The Curtailment Matrix and Curtailment Trend together show not just if curtailment occurs, but when and how deep it is. Combined with day-ahead forecasting, they allow you to model both the curtailment that storage can absorb and the arbitrage revenue it can generate on the same asset.",{"type":20,"tag":31,"props":256,"children":257},{},[258],{"type":35,"value":259},"An additional note on why the timing matters now: Germany's economy ministry has proposed a measure — informally known as Redispatch-Vorbehalt — that could allow grid operators to withhold curtailment compensation in already congested zones. This measure is part of the broader EEG 2027 reform and is still moving through the legislative process, so nothing is final yet. If introduced, curtailment would no longer simply be reimbursed; in some locations, it would become a cost to factor into the investment case, while in others it could make co-located storage economically attractive. Either way, these three views are designed to identify that location-specific variance early — not years into a 20-year asset lifecycle.",{"type":20,"tag":42,"props":261,"children":263},{"id":262},"how-re-twin-builds-it",[264],{"type":35,"value":265},"How Re-Twin builds it",{"type":20,"tag":31,"props":267,"children":268},{},[269,271,276],{"type":35,"value":270},"Re-Twin combines multiple energy datasets and analytical models to turn fragmented grid information into an investment-ready curtailment view. We gather ",{"type":20,"tag":82,"props":272,"children":273},{},[274],{"type":35,"value":275},"DSO redispatch measure data",{"type":35,"value":277}," — the official down-regulation records — and join it with Germany’s renewable master data register (MaStR) and hourly weather data. The combined dataset is then spatially indexed so curtailment can be analyzed at the relevant cell, region, and DSO level.",{"type":20,"tag":31,"props":279,"children":280},{},[281,283,288,290,295],{"type":35,"value":282},"The result is a location-specific view of curtailment, expressed through metrics such as ",{"type":20,"tag":82,"props":284,"children":285},{},[286],{"type":35,"value":287},"Curtailment %",{"type":35,"value":289}," and ",{"type":20,"tag":82,"props":291,"children":292},{},[293],{"type":35,"value":294},"Curtailed Hours",{"type":35,"value":296}," for the exact area where your asset is located. The analysis is rerun as new DSO data becomes available, ensuring the curtailment view reflects the latest grid conditions, and is integrated directly into the same platform where you evaluate generation, revenues, and cash flows.",{"type":20,"tag":31,"props":298,"children":299},{},[300],{"type":35,"value":301},"The outcome is that curtailment becomes part of the investment analysis itself. Instead of being a separate grid study or a regulatory data point reviewed later, it becomes a measurable input you can assess alongside revenues, cash flows, and generation when building your business case.",{"type":20,"tag":42,"props":303,"children":305},{"id":304},"where-this-is-going",[306],{"type":35,"value":307},"Where this is going",{"type":20,"tag":309,"props":310,"children":311},"ul",{},[312,323,347,357],{"type":20,"tag":313,"props":314,"children":315},"li",{},[316,321],{"type":20,"tag":82,"props":317,"children":318},{},[319],{"type":35,"value":320},"Curtailment integrated into Investment Analysis",{"type":35,"value":322},": our next step is to bring the curtailment signal directly into revenue and cash flow modelling, so location-specific adjustments are automatically reflected in the investment case rather than interpreted manually from the map.",{"type":20,"tag":313,"props":324,"children":325},{},[326,331,333,338,340,345],{"type":20,"tag":82,"props":327,"children":328},{},[329],{"type":35,"value":330},"More markets, the same level of insight:",{"type":35,"value":332}," curtailment data is currently available for ",{"type":20,"tag":82,"props":334,"children":335},{},[336],{"type":35,"value":337},"Germany and Spain",{"type":35,"value":339},", with ",{"type":20,"tag":82,"props":341,"children":342},{},[343],{"type":35,"value":344},"the Netherlands, Belgium, and Austria",{"type":35,"value":346}," coming next.",{"type":20,"tag":313,"props":348,"children":349},{},[350,355],{"type":20,"tag":82,"props":351,"children":352},{},[353],{"type":35,"value":354},"Curtailment forecasting:",{"type":35,"value":356}," moving beyond historical patterns to provide a forward-looking view of curtailment risk.",{"type":20,"tag":313,"props":358,"children":359},{},[360,365],{"type":20,"tag":82,"props":361,"children":362},{},[363],{"type":35,"value":364},"Deeper German DSO coverage",{"type":35,"value":366},": expanding coverage within our largest market to provide even more granular regional insights.",{"type":20,"tag":42,"props":368,"children":370},{"id":369},"wed-like-your-feedback",[371],{"type":35,"value":372},"We'd like your feedback",{"type":20,"tag":31,"props":374,"children":375},{},[376],{"type":35,"value":377},"We are putting these views in front of the people who develop, finance, and optimize renewable assets to understand what is most valuable, where the analysis can go further, and what insights you need next",{"type":20,"tag":31,"props":379,"children":380},{},[381,383,388],{"type":35,"value":382},"If you have feedback, would like to learn more, or would like a demo, contact us. 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