A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Selection of micro-cogeneration for net zero energy buildings (NZEB) using weighted energy matching index
https://orcid.org/0000-0003-2652-1376
Highlights Energy matching analysis of μ-CHPs coupling with PV and/or STC is presented. A new model calculating the weighting factors of overall matching index is proposed. The weighting factors calculation is based on energy carriers’ NRPE factors. Matching analyses of μ-CHPs under thermal and electrical tracking strategies. Two opposite extreme matching situations in the NZEB are reflected.
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.
Selection of micro-cogeneration for net zero energy buildings (NZEB) using weighted energy matching index
https://orcid.org/0000-0003-2652-1376
Highlights Energy matching analysis of μ-CHPs coupling with PV and/or STC is presented. A new model calculating the weighting factors of overall matching index is proposed. The weighting factors calculation is based on energy carriers’ NRPE factors. Matching analyses of μ-CHPs under thermal and electrical tracking strategies. Two opposite extreme matching situations in the NZEB are reflected.
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.
Selection of micro-cogeneration for net zero energy buildings (NZEB) using weighted energy matching index
https://orcid.org/0000-0003-2652-1376
Highlights Energy matching analysis of μ-CHPs coupling with PV and/or STC is presented. A new model calculating the weighting factors of overall matching index is proposed. The weighting factors calculation is based on energy carriers’ NRPE factors. Matching analyses of μ-CHPs under thermal and electrical tracking strategies. Two opposite extreme matching situations in the NZEB are reflected.
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.
Selection of micro-cogeneration for net zero energy buildings (NZEB) using weighted energy matching index
Mohamed, Ayman (author) / Cao, Sunliang (author) / Hasan, Ala (author) / Sirén, Kai (author)
Energy and Buildings ; 80 ; 490-503
2014-05-30
14 pages
Article (Journal)
Electronic Resource
English
AHU , air handling unit , bio-SNG , substitute natural gas from biomass , DH , district heating , DHW , domestic hot water , HWST , hot water storage tank , ICE , internal combustion engine , LPG , liquefied petroleum gas , NRPE , non-renewable primary energy , NZEB , net zero energy building , NG , natural gas , ORC , organic Rankine cycle , PV , photovoltaic panel , PEMFC , proton exchange membrane fuel cell , STC , solar thermal collector , SE , Stirling engine , SOFC , solid oxide fuel cell , μ-CHP , micro-cogeneration heat and power , Energy matching analysis , Mismatch , Net zero energy buildings (NZEB) , Micro-cogeneration heat and power (μ-CHP) , Thermal tracing strategy , Electrical tracking strategy , Electrical grid feed-in , Thermal heat grid feed-in
Assessment of Emerging Renewable Energy-based Cogeneration Systemsfor nZEB Residential Buildings
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