Operations on network-based space layouts for modeling multiple space views of buildings

Suter, Georg; Petrushevski, Filip; Šipetić, Miloš

doi:10.1016/j.aei.2014.06.004

Cited by 11 publications

(3 citation statements)

References 36 publications

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“…The higher the thermal penalty, the worse the thermal performance). 66 3.1 Details of walls, floors and glazing used for the layouts in three climates 84 3.2 Control strategy for the shading system 87 3.3 Maximum internal gains of different spaces 88 3.4 Energy demand of all layouts in the three climates 90 3. 5 The sum of the final energy for heating, cooling and lighting for the three climates 94 3.6 Maximal and minimal energy demand and the maximum difference (%) among 11 layouts with the WWR of 20% and 60% in three climates 98 3.7 U values of exterior wall and glazing for poor insulated buildings in the three climates 99 3.8 Maximal and minimal energy demand and the maximum difference (%) among 11 layouts with U values for poor insulated buildings with the WWR of 40% in three climates 99 4.1 Keywords used for searching references 114 53 2.4 Three layouts modelled with different thermal zoning strategies in [64].…”

Section: List Of Tablesmentioning

confidence: 99%

Space layout and energy performance

2021

Architecture and the Built Environment

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Studies have shown that space layout design can impact the building energy performance (BEP). However, its isolated effect on the BEP has not been identified yet. Performative computational architecture has proven to be effective to improve the BEP. However, only a few studies have tried to apply the performative computational architecture to space layout design. This research aims to investigate how space layout affects BEP, and to develop a computational optimisation method for space layout to improve the BEP of office buildings. Firstly, the mechanism on how space layout affects the BEP and how much energy is affected by space layout were identified through literature review and simulation. 11 layouts with different function allocations were simulated and compared. The outcome showed that layout variance affected lighting the most, and the maximum difference happened in Harbin, being 46% without shading and 35% with shading. As a follow-up, another literature review was conducted, which identified the functional requirements of space layout design, methods for automatic generation of space layout, and requirements for energy performance optimisation. In addition, a computational method was developed to optimise space layout design for energy performance improvement, regardless of functional requirements. As a result, the relationship between space layout and energy demands were recognised. In conclusion, space layout has proven to be a significant influence on the BEP, and conscientious design can improve it. For optimal energy performance, manual design of space layout is not feasible; in order to do that, a computational approach is needed.

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Section: List Of Tablesmentioning

confidence: 99%

Space layout and energy performance

2021

Architecture and the Built Environment

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“…This division assists in dealing with the separate parts independent of the spatial environment. Also, defining the spatial environment into sub-divisions enhances the description of the domain context information [10]. In addition, spatial environment subdivisions can be anything related to a certain area or space and not necessarily physically geographic, for example, human activities such as going to the farm and walking in the park.…”

Section: A Understanding the Spatial Environment For Context-aware Mmentioning

confidence: 99%

Service-Oriented Context-Aware Messaging System

Almagrabi¹,

Bramantoro²

2019

ijacsa

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In services oriented computing, location or spatial models are required to model the domain environment whenever location or spatial relationships are utilised by users and/or services. This research presents an ontology-based methodology for context-aware messaging service. There are five main contributions to this research. First, the research provides a service oriented methodology for modelling and building contextaware messaging systems based on ontological principles. Second, it describes a method that assists understanding the domain's spatial environment. Third, it includes a proposal of the generic Mona-ServOnt core service ontology that offers context-aware reasoning for capture and use of context. Mona-ServOnt is able to support the deployment of context-aware messaging services in both indoor and outdoor environments. Fourth, a novel generic architecture that captures the requirements for context-aware messaging services is given. Fifth, the generic messaging protocols that describe the exchange of messages within context-aware messaging services is modelled. A few experiments were completed to measure the performance of the peer-to-peer services using actual smartphone with Bluetooth capability. In addition, the methodology's main steps have been validated individually in various context-aware messaging domains. It has been evaluated using competency questions that gauge the scope of the proposed ontology. Furthermore, the generic architecture and messaging protocols have been verified in constructing for each domain.

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“…In addition to direct energy and cost savings through real-time intelligent control of HVAC, lighting, and plug loads, detailed and accurate occupancy information may also be leveraged for other energy-saving applications, including occupant engagement and behaviour adjustment [32], achieving optimal demand response [33], optimizing energy storage, improving building energy simulation [34], enhancing building space modeling and utilization [35], supporting building planning and evacuation [36], and increasing building energy use forecasting accuracy [37].…”

Section: According To United Nations Environment Programme's Sustainamentioning

confidence: 99%

Leveraging existing occupancy-related data for optimal control of commercial office buildings: A review

Shen

Newsham

Gunay

2017

Advanced Engineering Informatics

104

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A primary strategy for the energy-efficient operation of commercial office buildings is to deliver building services, including lighting, heating, ventilating, and air conditioning (HVAC), only when and where they are needed, in the amount that they are needed. Since such building services are usually delivered to provide occupants with satisfactory indoor conditions, it is important to accurately determine the occupancy of building spaces in real time as an input to optimal control. This paper first discusses the concepts of building occupancy resolution and accuracy and briefly reviews conventional (explicit) occupancy detection approaches. The focus of this paper is to review and classify emerging, potentially low-cost approaches to leveraging existing data streams that may be related to occupancy, usually referred to as implicit / ambient / soft sensing approaches. Based on a review and a comparison of related projects / systems (in terms of occupancy sensing type, resolution, accuracy, ground truth data collection method, demonstration scale, data fusion and control strategies) the paper presents the state-of-the-art of leveraging existing occupancy-related data for optimal control of commercial office buildings. It also briefly discusses technology trends, challenges, and future research directions.

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Operations on network-based space layouts for modeling multiple space views of buildings

Cited by 11 publications

References 36 publications

Space layout and energy performance

Space layout and energy performance

Service-Oriented Context-Aware Messaging System

Leveraging existing occupancy-related data for optimal control of commercial office buildings: A review

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