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INDIGO Planning tool - IndPT

Räma, Miika; Sokka, Laura; Pursiheimo, Esa; Klobut, Krzysztof; Koponen, Kati

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  <identifier identifierType="DOI">10.5281/zenodo.3238146</identifier>
      <creatorName>Räma, Miika</creatorName>
      <affiliation>VTT Technical Research Centre of Finland</affiliation>
      <creatorName>Sokka, Laura</creatorName>
      <affiliation>VTT Technical Research Centre of Finland</affiliation>
      <creatorName>Pursiheimo, Esa</creatorName>
      <affiliation>VTT Technical Research Centre of Finland</affiliation>
      <creatorName>Klobut, Krzysztof</creatorName>
      <affiliation>VTT Technical Research Centre of Finland</affiliation>
      <creatorName>Koponen, Kati</creatorName>
      <affiliation>VTT Technical Research Centre of Finland</affiliation>
    <title>INDIGO Planning tool - IndPT</title>
    <date dateType="Issued">2019-06-04</date>
  <resourceType resourceTypeGeneral="Software"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1407213</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">GNU General Public License v3.0 only</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Indigo DC planning tool (IndPT) supports the optimal design of new DC systems, the assessment of existing systems&amp;rsquo; potential for performance or efficiency improvement and the comparisons with building specific cooling systems. Consumers, distribution, production and storage of the cooling energy in DC system, are linked together in the planning tool to obtain the available solutions. Life cycle analysis (LCA) framework is used for economic feasibility and climate impact assessment. The tool may also be used to estimate the size of energy storages based on the availability of resources and variation of demand and costs.&lt;/p&gt;

&lt;p&gt;The main input parameters are cooling demand, structure of cooling production, distribution network characteristics and available resources. Secondary input includes data on energy commodity prices, investments and specifications for components e.g. local heat and electricity generation. As an output, the tool provides primary energy consumption, greenhouse gas emissions and costs of the system. The defined potential district cooling system can also be compared with building specific cooling systems delivering the similar cooling service.&lt;/p&gt;

&lt;p&gt;Indigo DC planning tool requires following python version and packages:&lt;/p&gt;

	&lt;li&gt;Python 3.4&lt;/li&gt;
	&lt;li&gt;pyside 1.2.4&lt;/li&gt;
	&lt;li&gt;qt 4.8.7&lt;/li&gt;
	&lt;li&gt;oemof 0.2.2&lt;/li&gt;
	&lt;li&gt;matplotlib 2.0.0&lt;/li&gt;

&lt;p&gt;All files in main directory and in all subdirectories are released under the GPL 3.0 license.&lt;/p&gt;</description>
    <description descriptionType="Other">List of new features in Indigo Planning Tool: 
- Investment of storage is included in costs 
- Duration curve of total DC consumption available in Model Construction/Parameters 
- GIS tool improvements: 
o   Network structure evaluation (connections between elements) in map by holding space-bar 
o   Information of action performed is shown in status bar 
o   Last insertion of element can be undone by pressing ctrl-z 
o   Consumer type and pipeline type can be edited in "Select items" state by clicking item 
o   Active element type indicated by green button color 
- Option to Save copy of the case 
- Option to Delete scenario in the case 
- Table contents (parameters or results) can be copied to clipboard (and thereby to excel) by pressing ctrl-c in active table 
- In results, duration curve of producers and supply tecs can be examined</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/696098/">696098</awardNumber>
      <awardTitle>New generation of Intelligent Efficient District Cooling systems</awardTitle>
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