{"id":16427,"date":"2020-12-07T15:30:00","date_gmt":"2020-12-07T14:30:00","guid":{"rendered":"https:\/\/www.smartinnovationnorway.com\/?p=16427"},"modified":"2022-10-25T23:48:31","modified_gmt":"2022-10-25T21:48:31","slug":"key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems","status":"publish","type":"post","link":"https:\/\/smartinnovationnorway.com\/en\/nyheter\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\/","title":{"rendered":"Key performance indicators for investment planning in multi-vector energy systems"},"content":{"rendered":"<p><strong>The concept of sector coupling promises to provide flexibility for rising renewable shares. A strong metric is needed to determine the viability and economic feasibility of different sector-coupled energy systems, and a direct translation of key performance indicators (KPIs) commonly used for single vector systems is not always possible. The E-LAND project fills this gap by proposing KPIs relevant to assessing sector-coupled energy systems.\u00a0<\/strong><\/p>\n\n\n\n<p>The proposed KPIs were presented in this year\u2019s <a href=\"https:\/\/www.cired2020berlin.org\/index.html\" target=\"_blank\" rel=\"noreferrer noopener\">CIRED<\/a> workshop. The paper evaluates various KPIs used for assessing single energy vector systems and their application for a sector-coupled system. Together with the pilots of the project, relevant KPIs were selected, further adapted, and in addition, a new indicator was proposed.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"377\" src=\"https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-1024x377.png\" alt=\"\" class=\"wp-image-24728\" srcset=\"https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-1024x377.png 1024w, https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-300x111.png 300w, https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-768x283.png 768w, https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-18x7.png 18w, https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket.png 1441w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption><em>Figure 1: Few of the selected and adapted KPI based upon pilot owner\u2019s decision making criterias.<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Proposal: Weighting of energy carriers<\/strong><\/h2>\n\n\n\n<p>A multi-vector energy system can have energy carriers of different usable potentials, e.g. electricity and hydrogen. To be able to derive KPIs that cover the whole system as a whole (like LCOE, renewable share and self-sufficiency), a weighting of the energy carriers by their energy content is proposed. The reference unit is defined as Electricity Equivalent (ElEq), in reference to the commonly used gasoline gallon equivalent (GGE).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Intermediate conclusions and future work<\/strong><\/h2>\n\n\n\n<p>Indicators proposed in the paper were applied to a case study and have proven that they can help to understand the more complex energy flows taking place in a multi-energy system. There are still areas where further research is needed in the project. These areas are:<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>Base of energy carrier weighting, especially considering the value of heat.<\/li><li>Relevance of sunk costs in economic KPI needs to be discussed.<\/li><li>Application of KPIs to extreme scenarios.<\/li><\/ol>\n\n\n\n<p>Further research will be carried out both based on simulations and stakeholder interviews (including pilots) to ensure that the list of KPIs is complete.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"692\" src=\"https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-2-1024x692.png\" alt=\"\" class=\"wp-image-24729\" srcset=\"https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-2-1024x692.png 1024w, https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-2-300x203.png 300w, https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-2-768x519.png 768w, https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-2-1536x1038.png 1536w, https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-2-18x12.png 18w, https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2022\/10\/E-LAND-Sanket-2.png 2000w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption><em>Figure 2: Energy system overview of example case study used in the paper to evaluate various KPI.<\/em><\/figcaption><\/figure>\n\n\n\n<p><strong>Note:<\/strong> The full paper is to soon be published in the proceedings from the CIRED 2020 workshop, but its abstract is available <a href=\"https:\/\/app.oxfordabstracts.com\/events\/1162\/program-app\/program\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>. Title of the paper: \u201cInvestment planning in multi-vector energy systems: Definition of key performance indicators\u201d<\/p>","protected":false},"excerpt":{"rendered":"<p>The concept of sector coupling promises to provide flexibility for rising renewable shares. A strong metric is needed to determine the viability and economic feasibility of different sector coupled energy systems. <\/p>","protected":false},"author":5,"featured_media":24730,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[37,6],"tags":[263,108,253],"class_list":["post-16427","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-forskning","category-nyheter","tag-e-land","tag-forskning","tag-research"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.7 (Yoast SEO v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Key performance indicators for investment planning in multi-vector energy systems - Smart Innovation Norway<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/smartinnovationnorway.com\/en\/nyheter\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Key performance indicators for investment planning in multi-vector energy systems\" \/>\n<meta property=\"og:description\" content=\"The concept of sector coupling promises to provide flexibility for rising renewable shares. A strong metric is needed to determine the viability and economic feasibility of different sector coupled energy systems.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/smartinnovationnorway.com\/en\/nyheter\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\/\" \/>\n<meta property=\"og:site_name\" content=\"Smart Innovation Norway\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/smart.innovation.norway\/\" \/>\n<meta property=\"article:published_time\" content=\"2020-12-07T14:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-10-25T21:48:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/smartinnovationnorway.com\/wp-content\/uploads\/2020\/12\/E-LAND-Sanket-alene-kopi.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"689\" \/>\n\t<meta property=\"og:image:height\" content=\"421\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Mari Kristine Buckholm\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@NCESmart\" \/>\n<meta name=\"twitter:site\" content=\"@NCESmart\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Mari Kristine Buckholm\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/smartinnovationnorway.com\\\/nyheter\\\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/smartinnovationnorway.com\\\/nyheter\\\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\\\/\"},\"author\":{\"name\":\"Mari Kristine Buckholm\",\"@id\":\"https:\\\/\\\/smartinnovationnorway.com\\\/no\\\/#\\\/schema\\\/person\\\/0d5acb2863672da7d6fa210f82992592\"},\"headline\":\"Key performance indicators for investment planning in multi-vector energy systems\",\"datePublished\":\"2020-12-07T14:30:00+00:00\",\"dateModified\":\"2022-10-25T21:48:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/smartinnovationnorway.com\\\/nyheter\\\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\\\/\"},\"wordCount\":370,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/smartinnovationnorway.com\\\/no\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/smartinnovationnorway.com\\\/nyheter\\\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/smartinnovationnorway.com\\\/wp-content\\\/uploads\\\/2020\\\/12\\\/E-LAND-Sanket-alene-kopi.jpg\",\"keywords\":[\"E-LAND\",\"forskning\",\"research\"],\"articleSection\":[\"Forskning\",\"Nyheter\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/smartinnovationnorway.com\\\/nyheter\\\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/smartinnovationnorway.com\\\/nyheter\\\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\\\/\",\"url\":\"https:\\\/\\\/smartinnovationnorway.com\\\/nyheter\\\/key-performance-indicators-for-investment-planning-in-multi-vector-energy-systems\\\/\",\"name\":\"Key performance indicators for investment planning in multi-vector energy systems - 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