Multi-level optimization of building design, energy system sizing and operation

Energy ◽  
2015 ◽  
Vol 90 ◽  
pp. 1775-1789 ◽  
Author(s):  
Ralph Evins
2021 ◽  
Vol 13 (17) ◽  
pp. 3384
Author(s):  
Kate Pexman ◽  
Derek D. Lichti ◽  
Peter Dawson

Heritage buildings are often lost without being adequately documented. Significant research has gone into automated building modelling from point clouds, challenged by irregularities in building design and the presence of occlusion-causing clutter and non-Manhattan World features. Previous work has been largely focused on the extraction and representation of walls, floors, and ceilings from either interior or exterior single storey scans. Significantly less effort has been concentrated on the automated extraction of smaller features such as windows and doors from complete (interior and exterior) scans. In addition, the majority of the work done on automated building reconstruction pertains to the new-build and construction industries, rather than for heritage buildings. This work presents a novel multi-level storey separation technique as well as a novel door and window detection strategy within an end-to-end modelling software for the automated creation of 2D floor plans and 3D building models from complete terrestrial laser scans of heritage buildings. The methods are demonstrated on three heritage sites of varying size and complexity, achieving overall accuracies of 94.74% for multi-level storey separation and 92.75% for the building model creation. Additionally, the automated door and window detection methodology achieved absolute mean dimensional errors of 6.3 cm.


2006 ◽  
Vol 12 (1) ◽  
pp. 51-56
Author(s):  
Henrik Brohus ◽  
Erik Bjørn

Problems in office buildings are often related to the design and control of the indoor environment and of the building as an energy system. The often interconnected nature of the above two issues is important to take into account, since, for instance, internal and external heat loads, temperatures, and air change rates affect both energy use and indoor comfort. Thus, to avoid the indoor climate problems, it is essential that energy optimisation is integrated with assessment of indoor climate. An assessment concept based on the so‐called Eco‐factor has been developed; it can assist building designers in creating solutions of these problems. The assessment concept is meant to be an integral part of new design guidelines for office buildings, which aim to achieve energy efficient buildings with a good indoor comfort and low environmental impact. The building designers have different needs at different stages of the design process. For this reason, the assessment concept makes use of the Eco‐factor tool, which is defined so input can be based on both simple and advanced calculations in early and later phases of design, respectively, while still delivering the same output.


2015 ◽  
Vol 2 (3) ◽  
pp. 107-119
Author(s):  
Frances Ruth Wood ◽  
Daniel Calverley ◽  
Steven Glynn ◽  
Sarah Mander ◽  
Walsh Conor ◽  
...  

The impacts of climate change on the energy system are diverse; this article focuses on the potential effects on UK energy demand and the ramifications for national infrastructure building on the findings of the UK’s 2012 Climate Change Risk Assessment. It reviews the available literature, where it exists, on the relationships among current energy demand, weather and climate change, and the implications for these relationships due to mitigation plans and potential adaptation responses. The review highlights the mechanisms by which future climate change, in particular changes in mean and extreme temperature, could affect the annual amount of UK energy demand and the seasonal, daily and spatial variation of the impacts. Published literature quantifying the effects of climate change on UK energy demand is limited; thus, where evidence is not available, information on the current relationship between weather and demand is combined with expert judgement to highlight potential demand responses to a changing climate without quantification. The impacts identified could have significant implications for the long-term planning of energy infrastructure and system operation and building design, depending on their magnitude, highlighting the need for further research in this area.


2017 ◽  
Author(s):  
Jonas Jonasson ◽  
Itai Danielski ◽  
Michelle Svensson ◽  
Morgan Fröling

A life cycle assessment (LCA) of a low energy / passive house in northern Sweden, including building materials and energy use is reported. The case study building is semi detached house for two families situated in Östersund (lat. 63°N), Sweden. Each apartment having a floor space of 160 m2 divided on two floors. The building was constructed during 2010 with a design meeting the requirements for Swedish passive houses as defined by the Forum for energy efficiency buildings (FEBY) and the Swedish center for zero energy houses (SCNH). When it comes to more sustainable buildings, energy use in the build environment has been in focus for some time. The life cycle assessment in this study reveals that the building materials can contribute significantly to environmental burdens of a residential building in northern Sweden. Energy efficiency, efficient use of good building materials and issues of appropriate design need to be discussed in the same context to move toward a more sustainable built environment. For energy efficient buildings in a energy system with renewably based energy carriers, building materials might give rise to a significant or even dominating part of the life cycle impact of a building. This give rise to considerations regarding choices of building materials as well as design of buildings to minimize such impact; while not forgetting social aspects impacted by building design.


2021 ◽  
Vol 9 (1) ◽  
pp. 199-209 ◽  
Author(s):  
Muhammad Najwan Hamidi ◽  
Dahaman Ishak ◽  
Muhammad Ammirrul Atiqi Mohd Zainuri ◽  
Chia Ai Ooi ◽  
Tarmizi Tarmizi

2021 ◽  
Vol 1965 (1) ◽  
pp. 012145
Author(s):  
Wang Guo Bin ◽  
Zhao Yi Fan ◽  
Wang Chao ◽  
Wang Xiao Chuang ◽  
Ma Jun ◽  
...  

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