{
  "docId": "019dd923-5ca1-7489-b63a-30ff11c618f5",
  "docSlug": "48271a0f02613710",
  "documentTitle": "Copernicus Market report",
  "authorId": "PwC",
  "authorName": "PwC",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 98,
  "pageCount": 164,
  "prevPage": 97,
  "nextPage": 99,
  "slideType": "key_takeaways",
  "function": "summarize",
  "density": "dense",
  "nDataPoints": 4,
  "notes": "Includes a stacked bar chart showing economic impact split by intermediate and end users.",
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "bar_chart_stacked"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b63a-30ff11c618f5/98",
  "deckHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b63a-30ff11c618f5#slide-98",
  "components": [
    {
      "bbox": {
        "h": 0.45,
        "w": 0.33,
        "x": 0.63,
        "y": 0.25
      },
      "kind": "chart",
      "text": "Copernicus economic impact (2018)",
      "attrs": null,
      "subkind": "bar-stacked",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "609d9efe-808c-42a8-942f-7c3faa54df11",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.55,
        "x": 0.06,
        "y": 0.7
      },
      "kind": "list",
      "text": "Siting plants and facilities (energy potential, environmental and social impacts); Optimised design; Output estimates (e. g. based on plant characteristics coupled with forecasts); Production of forecasts (e. g. irradiance forecasts); Comparisons of actual output with the estimates",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "09e3cdb8-57dc-44a8-8fbd-b7f8444b00ba",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.33,
        "x": 0.63,
        "y": 0.75
      },
      "kind": "list",
      "text": "Raw data from Sentinel-1; C3S ERA4 reanalysis; CAMS aerosol, ozone, solar irradiance; CMEMS ocean climatology and forecasts",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "45dccd8a-5083-4945-beed-0c3b6d5847a8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.55,
        "x": 0.06,
        "y": 0.265
      },
      "kind": "list",
      "text": "This value chain focuses mostly on the main domains where Copernicus can provide crucial support, namely solar power, wind power and hydropower. The global renewable energy market has been growing steadily in recent years, from representing 8.6% of the global energy mix in 2010 to a foreseen 22.5% in 2020. EO data are in most cases associated with meteorological data to support renewable energy activities. Environmental benefits resulting from the use of EO data and information in the renewable energy sector are significant and even bigger than economic benefits. Several Copernicus services can prove useful depending on the type of renewable energy supported. Both products from Copernicus services and raw Sentinel data are currently used by actors in the renewable energy sector.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c043cfa6-53ce-454e-b062-76f78b8b3cf3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Enabled revenues: 137 EUR M",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-d9f3-76ef-9958-4eba7b36c747",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.5,
        "x": 0.06,
        "y": 0.1
      },
      "kind": "title",
      "text": "MONITORING OF RENEWABLE ENERGY",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "af7cf24b-8ca8-4028-8ce7-bcc5e04dfdd9",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Data Story Arc",
      "slug": "data-story-arc",
      "agent": "Storyteller",
      "layer": "loop",
      "matchId": "019de978-c73a-723b-98c9-42351d89afba",
      "evidence": "Renewable-energy loop opens with takeaways + chart.",
      "confidence": 70
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 155,
      "from": 38,
      "beatId": "019de978-bd95-77eb-8d44-c191a03ed714",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": null,
      "evidence": "Eight sector deep-dives quantifying enabled revenues plus case studies.",
      "position": 3,
      "confidence": 70,
      "parentBeatName": null,
      "parentBeatSlug": null
    },
    {
      "to": 132,
      "from": 38,
      "beatId": "019de978-be1a-7645-baeb-dacc445f2ef7",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": null,
      "evidence": "Drivers/challenges, value chains, SWOT explain implications per sector.",
      "position": 2,
      "confidence": 60,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 109,
      "from": 98,
      "name": "So What Cascade",
      "slug": "41-so-what-cascade",
      "bestFor": "Data presentations, executive summaries, driving to recommendations",
      "matchId": "019de978-bfab-7166-b68f-6184006fe32d",
      "evidence": "98 takeaways, 99 context, 100-101 drivers, 102 VC, 103 SWOT-like, 104 benefits, 107-109 cases.",
      "position": 11,
      "objective": "Renewable Energy: cascade ending in solar/wind/PV case studies with ROI metrics",
      "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? (The Action)",
      "confidence": 72,
      "description": "Chain insights together, each answering 'so what?' until you reach the actionable conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}