Selection of micro-cogeneration for net zero energy buildings (NZEB) using weighted energy matching index

Ayman Mohamed, Sunliang Cao, Ala Hasan, Kai Siren

Research output: Contribution to journalArticleScientificpeer-review

24 Citations (Scopus)

Abstract

Recently, the extended matching indices for electrical and thermal energy were defined for different types of energy use and conversion based on two basic matching indices: on-site energy fraction (OEF), which is the load proportion covered by the on-site generated energy, and on-site energy matching (OEM), which is the on-site generated energy proportion utilized by the load rather than being dumped or exported. Additionally, the overall weighted matching index (WMI) was proposed, combining the extended indices by multiplying them by certain weighting factors expressing the preferences of each. This study presents a new model calculating the weighting factors of the WMI based on the non-renewable primary energy factors of different energy carriers involving the imported fuel, for micro-cogeneration (µ-CHP) under thermal and electrical tracking strategies, with electrical and thermal heat grid feed-in schemes reflecting two opposite extreme matching situations in the net zero energy building: load-matching priority and energy export priority strategies. The model is generic and can be used for hybrid micro-generation options. As a case, a single family house served by a µ-CHP is analyzed under a wide range of electrical outputs and power-to-heat ratios. The µ-CHPs' characteristics are selected according to the highest WMI
Original languageEnglish
Pages (from-to)490 - 503
JournalEnergy and Buildings
Volume80
DOIs
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

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Keywords

  • energy matching analysis
  • zero energy buildings
  • micro-cogeneration
  • thermal tracking
  • electrical tracking

Cite this

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title = "Selection of micro-cogeneration for net zero energy buildings (NZEB) using weighted energy matching index",
abstract = "Recently, the extended matching indices for electrical and thermal energy were defined for different types of energy use and conversion based on two basic matching indices: on-site energy fraction (OEF), which is the load proportion covered by the on-site generated energy, and on-site energy matching (OEM), which is the on-site generated energy proportion utilized by the load rather than being dumped or exported. Additionally, the overall weighted matching index (WMI) was proposed, combining the extended indices by multiplying them by certain weighting factors expressing the preferences of each. This study presents a new model calculating the weighting factors of the WMI based on the non-renewable primary energy factors of different energy carriers involving the imported fuel, for micro-cogeneration (µ-CHP) under thermal and electrical tracking strategies, with electrical and thermal heat grid feed-in schemes reflecting two opposite extreme matching situations in the net zero energy building: load-matching priority and energy export priority strategies. The model is generic and can be used for hybrid micro-generation options. As a case, a single family house served by a µ-CHP is analyzed under a wide range of electrical outputs and power-to-heat ratios. The µ-CHPs' characteristics are selected according to the highest WMI",
keywords = "energy matching analysis, zero energy buildings, micro-cogeneration, thermal tracking, electrical tracking",
author = "Ayman Mohamed and Sunliang Cao and Ala Hasan and Kai Siren",
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pages = "490 -- 503",
journal = "Energy and Buildings",
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Selection of micro-cogeneration for net zero energy buildings (NZEB) using weighted energy matching index. / Mohamed, Ayman; Cao, Sunliang; Hasan, Ala; Siren, Kai.

In: Energy and Buildings, Vol. 80, 2014, p. 490 - 503.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Selection of micro-cogeneration for net zero energy buildings (NZEB) using weighted energy matching index

AU - Mohamed, Ayman

AU - Cao, Sunliang

AU - Hasan, Ala

AU - Siren, Kai

N1 - Project code: 82593

PY - 2014

Y1 - 2014

N2 - Recently, the extended matching indices for electrical and thermal energy were defined for different types of energy use and conversion based on two basic matching indices: on-site energy fraction (OEF), which is the load proportion covered by the on-site generated energy, and on-site energy matching (OEM), which is the on-site generated energy proportion utilized by the load rather than being dumped or exported. Additionally, the overall weighted matching index (WMI) was proposed, combining the extended indices by multiplying them by certain weighting factors expressing the preferences of each. This study presents a new model calculating the weighting factors of the WMI based on the non-renewable primary energy factors of different energy carriers involving the imported fuel, for micro-cogeneration (µ-CHP) under thermal and electrical tracking strategies, with electrical and thermal heat grid feed-in schemes reflecting two opposite extreme matching situations in the net zero energy building: load-matching priority and energy export priority strategies. The model is generic and can be used for hybrid micro-generation options. As a case, a single family house served by a µ-CHP is analyzed under a wide range of electrical outputs and power-to-heat ratios. The µ-CHPs' characteristics are selected according to the highest WMI

AB - Recently, the extended matching indices for electrical and thermal energy were defined for different types of energy use and conversion based on two basic matching indices: on-site energy fraction (OEF), which is the load proportion covered by the on-site generated energy, and on-site energy matching (OEM), which is the on-site generated energy proportion utilized by the load rather than being dumped or exported. Additionally, the overall weighted matching index (WMI) was proposed, combining the extended indices by multiplying them by certain weighting factors expressing the preferences of each. This study presents a new model calculating the weighting factors of the WMI based on the non-renewable primary energy factors of different energy carriers involving the imported fuel, for micro-cogeneration (µ-CHP) under thermal and electrical tracking strategies, with electrical and thermal heat grid feed-in schemes reflecting two opposite extreme matching situations in the net zero energy building: load-matching priority and energy export priority strategies. The model is generic and can be used for hybrid micro-generation options. As a case, a single family house served by a µ-CHP is analyzed under a wide range of electrical outputs and power-to-heat ratios. The µ-CHPs' characteristics are selected according to the highest WMI

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KW - micro-cogeneration

KW - thermal tracking

KW - electrical tracking

U2 - 10.1016/j.enbuild.2014.05.055

DO - 10.1016/j.enbuild.2014.05.055

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JO - Energy and Buildings

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