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Simple calculation tool for central solar heating plants with seasonal storage
•A simple model is proposed to predict solar fraction of CSHPSS plants.•Only monthly thermal demand and climatic data are needed.•We explore the trade-off between solar area and storage volume.•A comparative analysis of CSHPSS for different climatic zones in Spain is presented.•The results proved th...
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Published in: | Solar energy 2015-10, Vol.120, p.72-86 |
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creator | Guadalfajara, M. Lozano, M.A. Serra, L.M. |
description | •A simple model is proposed to predict solar fraction of CSHPSS plants.•Only monthly thermal demand and climatic data are needed.•We explore the trade-off between solar area and storage volume.•A comparative analysis of CSHPSS for different climatic zones in Spain is presented.•The results proved that design criteria depends strongly on climatic conditions.
Central Solar Heating Plants with Seasonal Storage (CSHPSS) are able to produce thermal energy from solar radiation during all the year providing a significant part of the residential sector demands for Space Heating (SH) and Domestic Hot Water (DHW), using district heating systems. The yearly dynamic simulation is a complex process requiring local detailed climatic and demand data in order to properly design/sizing the plant components to reach the desired solar fraction. In this paper is proposed a simple method for the calculation of CSHPSS using demand data and easy to find available public climatic data. The proposed method is a useful tool to evaluate the CSHPSS system at early project stage as well as to perform parametric analysis in order to establish optimization and design criteria. The method is completely described and applied for a specific location in Spain to size the main components of the system which are the solar collector field area and the volume of the seasonal storage. It is also applied to perform a comparative analysis of CSHPSS located in different climatic areas of Spain. The obtained results reveal that the location of the plant and the different demands corresponding to different climatic areas affect very significantly the sizing and design criteria of CSHPSS. |
doi_str_mv | 10.1016/j.solener.2015.06.011 |
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Central Solar Heating Plants with Seasonal Storage (CSHPSS) are able to produce thermal energy from solar radiation during all the year providing a significant part of the residential sector demands for Space Heating (SH) and Domestic Hot Water (DHW), using district heating systems. The yearly dynamic simulation is a complex process requiring local detailed climatic and demand data in order to properly design/sizing the plant components to reach the desired solar fraction. In this paper is proposed a simple method for the calculation of CSHPSS using demand data and easy to find available public climatic data. The proposed method is a useful tool to evaluate the CSHPSS system at early project stage as well as to perform parametric analysis in order to establish optimization and design criteria. The method is completely described and applied for a specific location in Spain to size the main components of the system which are the solar collector field area and the volume of the seasonal storage. It is also applied to perform a comparative analysis of CSHPSS located in different climatic areas of Spain. The obtained results reveal that the location of the plant and the different demands corresponding to different climatic areas affect very significantly the sizing and design criteria of CSHPSS.</description><identifier>ISSN: 0038-092X</identifier><identifier>EISSN: 1471-1257</identifier><identifier>DOI: 10.1016/j.solener.2015.06.011</identifier><identifier>CODEN: SRENA4</identifier><language>eng</language><publisher>New York: Elsevier Ltd</publisher><subject>Comparative analysis ; CSHPSS ; District heating ; Optimization ; Radiation ; Renewable energy ; Seasonal storage ; Simulation ; Solar energy ; Solar thermal energy</subject><ispartof>Solar energy, 2015-10, Vol.120, p.72-86</ispartof><rights>2015 Elsevier Ltd</rights><rights>Copyright Pergamon Press Inc. Oct 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c378t-ee674b989dbd161041bf36b1020dd1a7a2830ec29c76465db0ec3dd0ae46514e3</citedby><cites>FETCH-LOGICAL-c378t-ee674b989dbd161041bf36b1020dd1a7a2830ec29c76465db0ec3dd0ae46514e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Guadalfajara, M.</creatorcontrib><creatorcontrib>Lozano, M.A.</creatorcontrib><creatorcontrib>Serra, L.M.</creatorcontrib><title>Simple calculation tool for central solar heating plants with seasonal storage</title><title>Solar energy</title><description>•A simple model is proposed to predict solar fraction of CSHPSS plants.•Only monthly thermal demand and climatic data are needed.•We explore the trade-off between solar area and storage volume.•A comparative analysis of CSHPSS for different climatic zones in Spain is presented.•The results proved that design criteria depends strongly on climatic conditions.
Central Solar Heating Plants with Seasonal Storage (CSHPSS) are able to produce thermal energy from solar radiation during all the year providing a significant part of the residential sector demands for Space Heating (SH) and Domestic Hot Water (DHW), using district heating systems. The yearly dynamic simulation is a complex process requiring local detailed climatic and demand data in order to properly design/sizing the plant components to reach the desired solar fraction. In this paper is proposed a simple method for the calculation of CSHPSS using demand data and easy to find available public climatic data. The proposed method is a useful tool to evaluate the CSHPSS system at early project stage as well as to perform parametric analysis in order to establish optimization and design criteria. The method is completely described and applied for a specific location in Spain to size the main components of the system which are the solar collector field area and the volume of the seasonal storage. It is also applied to perform a comparative analysis of CSHPSS located in different climatic areas of Spain. The obtained results reveal that the location of the plant and the different demands corresponding to different climatic areas affect very significantly the sizing and design criteria of CSHPSS.</description><subject>Comparative analysis</subject><subject>CSHPSS</subject><subject>District heating</subject><subject>Optimization</subject><subject>Radiation</subject><subject>Renewable energy</subject><subject>Seasonal storage</subject><subject>Simulation</subject><subject>Solar energy</subject><subject>Solar thermal energy</subject><issn>0038-092X</issn><issn>1471-1257</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqFUMtKAzEUDaJgrX6CEHA9473zSKYrEfEFRRcquAuZ5E47ZTqpSar496a0e1eXw3lwz2HsEiFHQHG9yoMbaCSfF4B1DiIHxCM2wUpihkUtj9kEoGwymBWfp-wshBUASmzkhL289evNQNzowWwHHXs38ujcwDvnuaExej3wFK89X1KixwXfDHqMgf_0cckD6eDGnSQ6rxd0zk46PQS6ONwp-3i4f797yuavj893t_PMlLKJGZGQVTtrZra1KBAqbLtStAgFWIta6qIpgUwxM1JUorZtAqW1oCkhrKicsqt97sa7ry2FqFZu69MjQaViQkJV1yKp6r3KeBeCp05tfL_W_lchqN10aqUO06nddAqEStMl383eR6nCd5_YYHoaDdnek4nKuv6fhD-SQXsJ</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Guadalfajara, M.</creator><creator>Lozano, M.A.</creator><creator>Serra, L.M.</creator><general>Elsevier Ltd</general><general>Pergamon Press Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>20151001</creationdate><title>Simple calculation tool for central solar heating plants with seasonal storage</title><author>Guadalfajara, M. ; Lozano, M.A. ; Serra, L.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-ee674b989dbd161041bf36b1020dd1a7a2830ec29c76465db0ec3dd0ae46514e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Comparative analysis</topic><topic>CSHPSS</topic><topic>District heating</topic><topic>Optimization</topic><topic>Radiation</topic><topic>Renewable energy</topic><topic>Seasonal storage</topic><topic>Simulation</topic><topic>Solar energy</topic><topic>Solar thermal energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guadalfajara, M.</creatorcontrib><creatorcontrib>Lozano, M.A.</creatorcontrib><creatorcontrib>Serra, L.M.</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Solar energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guadalfajara, M.</au><au>Lozano, M.A.</au><au>Serra, L.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simple calculation tool for central solar heating plants with seasonal storage</atitle><jtitle>Solar energy</jtitle><date>2015-10-01</date><risdate>2015</risdate><volume>120</volume><spage>72</spage><epage>86</epage><pages>72-86</pages><issn>0038-092X</issn><eissn>1471-1257</eissn><coden>SRENA4</coden><abstract>•A simple model is proposed to predict solar fraction of CSHPSS plants.•Only monthly thermal demand and climatic data are needed.•We explore the trade-off between solar area and storage volume.•A comparative analysis of CSHPSS for different climatic zones in Spain is presented.•The results proved that design criteria depends strongly on climatic conditions.
Central Solar Heating Plants with Seasonal Storage (CSHPSS) are able to produce thermal energy from solar radiation during all the year providing a significant part of the residential sector demands for Space Heating (SH) and Domestic Hot Water (DHW), using district heating systems. The yearly dynamic simulation is a complex process requiring local detailed climatic and demand data in order to properly design/sizing the plant components to reach the desired solar fraction. In this paper is proposed a simple method for the calculation of CSHPSS using demand data and easy to find available public climatic data. The proposed method is a useful tool to evaluate the CSHPSS system at early project stage as well as to perform parametric analysis in order to establish optimization and design criteria. The method is completely described and applied for a specific location in Spain to size the main components of the system which are the solar collector field area and the volume of the seasonal storage. It is also applied to perform a comparative analysis of CSHPSS located in different climatic areas of Spain. The obtained results reveal that the location of the plant and the different demands corresponding to different climatic areas affect very significantly the sizing and design criteria of CSHPSS.</abstract><cop>New York</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.solener.2015.06.011</doi><tpages>15</tpages></addata></record> |
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subjects | Comparative analysis CSHPSS District heating Optimization Radiation Renewable energy Seasonal storage Simulation Solar energy Solar thermal energy |
title | Simple calculation tool for central solar heating plants with seasonal storage |
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