Estimation of load duration curves from general building data in the building stock using dynamic BES-models

Mahmoud, Rana; Sharifi, Mohsen; Himpe, Eline; Delghust, Marc; Laverge, Jelle

doi:10.1051/e3sconf/201911101078

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…heating and cooling loads of a variety of buildings and building properties can be simulated once and made available for HVAC-design purposes, allowing the designer to find the building case that fits closest to the project at hand (Mahmoud et al, 2019). This feature is interesting for developing a general design methodology when an automated algorithm is used for modelling the building with the data from such a building database.…”

Section: Detailed Modelmentioning

confidence: 99%

Developing a simplified methodology for simulating energy performance of buildings with thermally activated building systems

Sharifi¹,

Bastero²,

Mahmoud³

et al. 2021

Building Simulation Conference Proceedings

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Detailed building models allow the HVAC designers to find optimal solutions. However, more complexity in modelling will also result in more efforts for the designers in the component sizing procedure specially when the optimal design of the system is highly depended on the control system. In Thermally Activated Building Systems (TABS), which are embedded pipes in the concrete of the building structure, the role of control is pivotal and thus the control has to be simulated during the design. Therefore, the building model and optimal control has to be coupled to an optimisation algorithm for optimal component sizing. This results in a computationally heavy design procedure. This paper addresses the need for a for a simplified methodology for modelling building with TABS. The dynamic heating and cooling loads of the building is calculated by a white-box detailed Modelica model and later used in an equivalent simplified resistorcapacitor (RC) model. The simplified model was developed by the grey-box approach and the parameters of RC model were estimated by inverse modelling approach. The methodology was applied on three different case studies and the results imply that the developed methodology can be confidently coupled to an optimal control algorithm to be used for sizing HVAC components optimally. Key Innovations• An automated algorithm for simplified dynamic modelling of building with TABS • Taking the advantage of white-box modelling to have high accuracy Practical ImplicationsA simplified modelling approach is proposed to simulate TABS and building interactions. The methodology can be efficiently integrated to the optimal design methodologies due its low mathematical complexity.

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Section: Detailed Modelmentioning

confidence: 99%

Developing a simplified methodology for simulating energy performance of buildings with thermally activated building systems

Sharifi¹,

Bastero²,

Mahmoud³

et al. 2021

Building Simulation Conference Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…The four case-study buildings have the same location and climate (Belgium), typology (office building), and thermal comfort temperature range (heating demand for less than 20•C and cooling demand for more than 26•C indoor operating temperature). (Please refer to [6] for details). Table 1 lists the characteristics that are different between the four cases.…”

Section: Heat Demand Curvesmentioning

confidence: 99%

Interaction of GEOTABS and secondary heating and cooling systems in hybridGEOTABS buildings: towards a sizing methodology

et al. 2019

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GEOTABS, a combination of TABS with a geothermal heat pump, is a promising heating and cooling system for decreasing greenhouse gas emissions in the building sector. However, TABS has a time delay when transferring energy from the pipes to the room. So, when the heat demand changes fast, TABS cannot properly compensate the heat demand. In order to solve this problem and maintain thermal comfort in the room, the concept of hybridGEOTABS proposes using a fast secondary system to assist the TABS. Yet, there is no integrated method for sizing both systems in a hybridGEOTABS building, considering the interaction between the secondary system and GEOTABS. This study will provide an integrated sizing methodology for hybridGEOTABS buildings. To that purpose, in this paper the interaction between the secondary system and TABS is investigated for two different scenarios by using a preference factor between the TABS and the secondary system. The methodology starts from heat demand curves, an analytic model for TABS, and optimal control principles for TABS to minimize the total energy use while providing thermal comfort. Finally, the method is used for 4 case studies in different scenarios with different secondary systems. Preliminary results of this research indicate that the secondary system type doesn’t have effect on the strategy of sizing. Therefore, designer can decide about secondary system type with investment and operating cost analysis.

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Early-stage optimal design of hybrid GEOTABS buildings in terms of costs and CO2 emissions

Sharifi

Figueroa

Mahmoud

et al. 2022

Energy Conversion and Management

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Estimation of load duration curves from general building data in the building stock using dynamic BES-models

Cited by 3 publications

References 4 publications

Developing a simplified methodology for simulating energy performance of buildings with thermally activated building systems

Developing a simplified methodology for simulating energy performance of buildings with thermally activated building systems

Interaction of GEOTABS and secondary heating and cooling systems in hybridGEOTABS buildings: towards a sizing methodology

Early-stage optimal design of hybrid GEOTABS buildings in terms of costs and CO2 emissions

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