On-site energy matching indices for buildings with energy conversion, storage and hybrid grid connections

Sunliang Cao (Corresponding Author), Ala Hasan, Kai Siren

    Research output: Contribution to journalArticleScientificpeer-review

    65 Citations (Scopus)

    Abstract

    In order to meet EU objective of nearly zero-energy building, mismatch problem is an inevitable side effect, which requires suitable criteria to quantitatively evaluate the problem. There are two commonly used basic indices for matching analysis: on-site energy fraction (OEF) and on-site energy matching (OEM). OEF indicates the proportion of the load covered by the on-site generated energy, while OEM indicates the proportion of the on-site generated energy that is used in the load rather than being dumped or exported. However, with rapid development of energy technology, matching problems become more complicated when a system involves different energy forms, energy conversions, storages, and hybrid grid connections. In order to meet these challenges, six matching indices are defined based on the extension of the two basic indices. Four examples at one time-step are presented for the usage of these extended indices' equations. Furthermore, in order to evaluate the applicability of these extended indices in a dynamic simulation process, the hourly and daily matching situations of one Finnish single-family house with hybrid grid connections are simulated for one summer's day. It shows that the extended matching indices are powerful tools for assessing the matching situation of increasingly complicated on-site energy systems.
    Original languageEnglish
    Pages (from-to)423-438
    JournalEnergy and Buildings
    Volume64
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA1 Journal article-refereed

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    Energy conversion
    Computer simulation

    Keywords

    • export of renewable
    • hybrid grid
    • matching analysis
    • matching indices
    • mismatch
    • renewable assited building

    Cite this

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    title = "On-site energy matching indices for buildings with energy conversion, storage and hybrid grid connections",
    abstract = "In order to meet EU objective of nearly zero-energy building, mismatch problem is an inevitable side effect, which requires suitable criteria to quantitatively evaluate the problem. There are two commonly used basic indices for matching analysis: on-site energy fraction (OEF) and on-site energy matching (OEM). OEF indicates the proportion of the load covered by the on-site generated energy, while OEM indicates the proportion of the on-site generated energy that is used in the load rather than being dumped or exported. However, with rapid development of energy technology, matching problems become more complicated when a system involves different energy forms, energy conversions, storages, and hybrid grid connections. In order to meet these challenges, six matching indices are defined based on the extension of the two basic indices. Four examples at one time-step are presented for the usage of these extended indices' equations. Furthermore, in order to evaluate the applicability of these extended indices in a dynamic simulation process, the hourly and daily matching situations of one Finnish single-family house with hybrid grid connections are simulated for one summer's day. It shows that the extended matching indices are powerful tools for assessing the matching situation of increasingly complicated on-site energy systems.",
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    author = "Sunliang Cao and Ala Hasan and Kai Siren",
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    year = "2013",
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    language = "English",
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    On-site energy matching indices for buildings with energy conversion, storage and hybrid grid connections. / Cao, Sunliang (Corresponding Author); Hasan, Ala; Siren, Kai.

    In: Energy and Buildings, Vol. 64, 2013, p. 423-438.

    Research output: Contribution to journalArticleScientificpeer-review

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    AU - Cao, Sunliang

    AU - Hasan, Ala

    AU - Siren, Kai

    N1 - Project code: 82593 - SA_OPTIENERGY

    PY - 2013

    Y1 - 2013

    N2 - In order to meet EU objective of nearly zero-energy building, mismatch problem is an inevitable side effect, which requires suitable criteria to quantitatively evaluate the problem. There are two commonly used basic indices for matching analysis: on-site energy fraction (OEF) and on-site energy matching (OEM). OEF indicates the proportion of the load covered by the on-site generated energy, while OEM indicates the proportion of the on-site generated energy that is used in the load rather than being dumped or exported. However, with rapid development of energy technology, matching problems become more complicated when a system involves different energy forms, energy conversions, storages, and hybrid grid connections. In order to meet these challenges, six matching indices are defined based on the extension of the two basic indices. Four examples at one time-step are presented for the usage of these extended indices' equations. Furthermore, in order to evaluate the applicability of these extended indices in a dynamic simulation process, the hourly and daily matching situations of one Finnish single-family house with hybrid grid connections are simulated for one summer's day. It shows that the extended matching indices are powerful tools for assessing the matching situation of increasingly complicated on-site energy systems.

    AB - In order to meet EU objective of nearly zero-energy building, mismatch problem is an inevitable side effect, which requires suitable criteria to quantitatively evaluate the problem. There are two commonly used basic indices for matching analysis: on-site energy fraction (OEF) and on-site energy matching (OEM). OEF indicates the proportion of the load covered by the on-site generated energy, while OEM indicates the proportion of the on-site generated energy that is used in the load rather than being dumped or exported. However, with rapid development of energy technology, matching problems become more complicated when a system involves different energy forms, energy conversions, storages, and hybrid grid connections. In order to meet these challenges, six matching indices are defined based on the extension of the two basic indices. Four examples at one time-step are presented for the usage of these extended indices' equations. Furthermore, in order to evaluate the applicability of these extended indices in a dynamic simulation process, the hourly and daily matching situations of one Finnish single-family house with hybrid grid connections are simulated for one summer's day. It shows that the extended matching indices are powerful tools for assessing the matching situation of increasingly complicated on-site energy systems.

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    KW - hybrid grid

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