Automated HVAC Control Creation Based on Building Information Modeling (BIM): Ventilation System

Sporr, Andreas; Zucker, Gerhard; Hofmann, René

doi:10.1109/access.2019.2919262

Cited by 25 publications

(15 citation statements)

References 7 publications

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“…On the one hand, it examines different functional planning segments in detail. Studies on functional planning segments can be found, for instance, in the areas of architecture [30]- [33] and HVAC (heating, ventilation, air conditioning) [34]- [38]. On the other hand, many research activities focus on topical case studies.…”

Section: Originalitymentioning

confidence: 99%

Integrated Factory Modelling: Using Bim to Disrupt the Interface Between Manufacturing and Construction in Factory Planning

Burggräf

Dannapfel

Schneidermann

et al. 2019

WIT Transactions on the Built Environment

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The interface between construction and production is an area of research with rising importance given its increasing demand for efficiency gains in factory planning and construction planning processes. In fact, nowadays, it is usual for production and surrounding buildings to be planned separately as independent entities. According to the Laboratory for Machine Tools and Production Engineering of RWTH Aachen University, it is against this background that recent factory planning projects have reported cost increases and time delays due to non-transparent information between different planners. Building Information Modelling (BIM) addresses precisely this problem. However, BIM is barely used in projects for production planning of factories. This is critical since factory planning has to deal with more complex planning parameters (due to the technical building equipment) compared to private housing construction or public building construction, where BIM is already being applied increasingly. In order to close this gap, it is first of all important to create transparency within the individual information interfaces between production planning and building planning. This article addresses this issue and identifies major obstacles in interdisciplinary cooperation between building planners and production planners. For this purpose, an interdisciplinary and partially standardised study has been carried out using questionnaires and partly-open expert interviews. The results show scarce implementation in factory planning projects due to (1) missing maturity level specifications and (2) missing data management standards. Both theoretical and practical implications of this study as well as limitations and future directions for research are discussed.

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Section: Originalitymentioning

confidence: 99%

Integrated Factory Modelling: Using Bim to Disrupt the Interface Between Manufacturing and Construction in Factory Planning

Burggräf

Dannapfel

Schneidermann

et al. 2019

WIT Transactions on the Built Environment

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“…The optimized system ensured the daily minimum energy consumption and the thermal comfort of air conditioning [11]. Sporr et al (2019) designed a HVAC control system based on the building information data in BIM. The system could improve the existing control system, thus optimizing the operation energy consumption of building air conditioning equipment [12].…”

Section: Introductionmentioning

confidence: 99%

“…Sporr et al (2019) designed a HVAC control system based on the building information data in BIM. The system could improve the existing control system, thus optimizing the operation energy consumption of building air conditioning equipment [12]. Based on the above studies, it is found that if only the supply of the main power grid and gas network is relied on to meet the needs of users, for the supply side, the energy utilization rate is extremely low, and huge power supply pressure is caused during the peak period of energy consumption, which shortens the service life of the power grid and endangers the security of power supply.…”

Section: Introductionmentioning

confidence: 99%

Optimization of intelligent heating ventilation air conditioning system in urban building based on BIM and artificial intelligence technology

Liu

Jiang

2021

ComSIS

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The study aims to effectively reduce building energy consumption, improve the utilization efficiency of building resources, reduce the emission of pollutants and greenhouse gases, and protect the ecological environment. A prediction model of heating ventilation air conditioning (HVAC) energy consumption is established by using back propagation neural network (BPNN) and adapted boosting (Adaboost) algorithm. Then, the HVAC system is optimized by building information modeling (BIM). Finally, the effectiveness of the urban intelligent HVAC optimization prediction model based on BIM and artificial intelligence (AI) is further verified by simulation experiments. The research shows that the error of the prediction model is reduced, the accuracy is higher after the Adaboost algorithm is added to BPNN, and the average prediction accuracy is 86%. When the BIM is combined with the prediction model, the HVAC programme of hybrid cooling beam + variable air volume reheating is taken as the optimal programme of HVAC system. The power consumption and gas consumption of the programme are the least, and the CO2 emission is also the lowest. Programme 1 is compared with programme 3, and the cost is saved by 37% and 15%, respectively. Through the combination of BIM technology and AI technology, the energy consumption of HVAC is effectively reduced, and the resource utilization rate is significantly improved, which can provide theoretical basis for the research of energy-saving equipment.

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“…This work derives the BAC creation process using IFC data as a foundation. It is based on the results of a previous paper [5] and extends the control strategy development beyond mere room automation to a more sophisticated and flexible system. Here, a thermal provisioning and distribution system for buildings is taken into account, where control strategies are developed for variable combinations of renewable and fossil energy sources.…”

Section: Introductionmentioning

confidence: 99%

Automatically Creating HVAC Control Strategies Based on Building Information Modeling (BIM): Heat Provisioning and Distribution

2020

Self Cite

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Building Information Modeling (BIM) data are typically exchanged using the Industrial Foundation Classes (IFC) standard. An IFC-based BIM model is a container for data that is created during the design and planning phase and is therefore a rich source of information for the commissioning phase, in which building services are brought to operation. This paper examines the use of BIM data for automated generation of control strategies for energy systems, thus simplifying and accelerating the commissioning phase. We present a methodology to create control strategies of a building heating system with several variations of renewable energy systems and include both heat provisioning and a distribution system. The control goals include favoring the use of non-fossil energy, which is provided by a combination of photovoltaic system (PV), heat pump (HP) and industrial excess-heat source. Thermal energy storages are integrated for load shifting purposes and the control of the heat distribution system is designed towards the requirements of building physics, occupancy and outside climate conditions. A validation of the approach is presented in a combined SIMULINK and TRNSYS simulation environment.

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Automated HVAC Control Creation Based on Building Information Modeling (BIM): Ventilation System

Cited by 25 publications

References 7 publications

Integrated Factory Modelling: Using Bim to Disrupt the Interface Between Manufacturing and Construction in Factory Planning

Integrated Factory Modelling: Using Bim to Disrupt the Interface Between Manufacturing and Construction in Factory Planning

Optimization of intelligent heating ventilation air conditioning system in urban building based on BIM and artificial intelligence technology

Automatically Creating HVAC Control Strategies Based on Building Information Modeling (BIM): Heat Provisioning and Distribution

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