Constraint-based renovation design support through the renovation domain model

Kamari, Aliakbar; Schultz, Carl; Kirkegaard, Poul Henning

doi:10.1016/j.autcon.2019.04.023

Cited by 31 publications

(22 citation statements)

References 22 publications

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“…When the renovation is required, the main decision is to decide the best plan for the building and select a scenario that satisfies to the objectives under constraint. In previous research, Kamari et al [12] developed a decision support framework as a renovation "knowledge base" with the aim of managing the complexity of decision problems regarding the selection and use of various renovation alternatives. Kamari et al [12] classify renovation intervention into four levels, i.e., minor, moderate, deep, and nearly zero-energy buildings (NZEB).…”

Section: Level Of Renovation Interventionmentioning

confidence: 99%

“…In previous research, Kamari et al [12] developed a decision support framework as a renovation "knowledge base" with the aim of managing the complexity of decision problems regarding the selection and use of various renovation alternatives. Kamari et al [12] classify renovation intervention into four levels, i.e., minor, moderate, deep, and nearly zero-energy buildings (NZEB). Their classification refers to the extent and size measures applied, as well as to the level of resulting energy and emissions reduction.…”

Section: Level Of Renovation Interventionmentioning

confidence: 99%

“…Major renovation involves overall major structural alterations with the aim of making a building perform at a level similar to a new building [13]. Furthermore, each renovation level will be linked to its cost [10], selected approaches [12] and the expected extension of the service life of the buildings of this case study. There are trade-off decisions when executing under budgetary constraints different levels of renovation for each building.…”

Section: Level Of Renovation Interventionmentioning

confidence: 99%

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Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus

et al. 2019

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Renovation construction is employed for maintaining the long-term performance of buildings. For the occupants, the building users, renovation contributes to the acceptable levels of convenience and quality of the buildings. However, if the operation continues during the renovation for an area containing several buildings, such as a university campus, the impacts on the occupants are unavoidable. The complicated schedule plan is needed due to the various types of buildings and types of renovation under limited resources. The goal of this study is to build a model that can help the planners to make the renovation schedule plan. Taking a university campus as an example, the occupants’ convenience rate and the long-term quality of the building are analyzed in this paper. Based on the key attributes of building renovation, this study proposes a model integrating the genetic algorithm and simulation to provide the optimal schedule plan to the planners. The model is demonstrated by an application case of a university campus of 11 buildings remaining in operation. It helps the university maintain a good level of long-term performance of buildings.

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Section: Level Of Renovation Interventionmentioning

confidence: 99%

Section: Level Of Renovation Interventionmentioning

confidence: 99%

Section: Level Of Renovation Interventionmentioning

confidence: 99%

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Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus

et al. 2019

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“…However, the process of achieving standards such as NZEB in historic buildings is very challenging, since the aesthetics of the buildings should not be modified, in order to retain their cultural essence. One way of developing this work, with higher potential in the future, could be the use of more innovative approaches to rapidly generate renovation scenarios, as shown by Kamari et al [70].…”

Section: Discussionmentioning

confidence: 99%

Design of the Refurbishment of Historic Buildings with a Cost-Optimal Methodology: A Case Study

et al. 2019

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The transformation of existing buildings into Near Zero Energy Buildings or even positive energy buildings remains a major challenge. In particular, historic buildings are an important cultural heritage that, in most cases, may be rehabilitated and reused for new purposes. However, achieving higher efficiencies in those buildings presents many difficulties, since there is a need to preserve aesthetic values and minimize impact on the buildings’ initial construction. In this work, a roadmap that allows rehabilitating a building from the eighteenth century is developed, turning it into a landmark building, to be used as a museum in the near future. The procedure is based on 3D models using REVIT software and detailed energy simulations supported by a cost-optimal methodology. The results reveal how conventional methodologies shown in the literature may improve the energy performance of the buildings during the heating regime, but performance may deteriorate during the cooling season. For that reason, the present study includes the design of a night ventilation system which allows not only solving this problem but also to reducing the cooling demands by more than 43% with little additional costs. In conclusion, historic buildings (which traditionally have a high thermal mass) have increased thermal storage potential by using the structures of the buildings themselves as well as passive cooling techniques.

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“…It takes a lot of time and effort to evaluate the existing situation (Bortolini & Forcada, 2018). A fundamental challenge within the field of renovation is handling enormous complexity (Kamari et al, 2019). The number of existing buildings that require renewal justifies the need for the modernisation model that optimises their life following the renovation (Rodrigues et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

A Multi-Criteria Decision-Making Synthesis Method to Determine the Most Effective Option for Modernising a Public Building

Starynina¹,

Ustinovichius

2020

Technological and Economic Development of Economy

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The study presents a sustainable building modernisation model that uses knowledgebased decision-making methods to general reconstruct old public buildings, intending to achieve the best level of energy use on the design scene. The rapid development and dissemination of standards cause multiple research opportunities in the fields of process automation and adaptation of BIM technologies to the prerequisites of existing buildings. Decision-making was widely supported by imitating structures used in the late stages of design. However, its application is not sufficient at the beginning, which affects design solutions with a significant impact on the performance of the completed building. Construction design is a multifaceted discipline where architects, engineers, contractors, and builders influence design decisions. This modernisation way uses digital systems and simulations to estimate the expected energy consumption of construction faster and economically. BIM and critical characteristics are the basis of the model, where design and general processing needs to follow to pre-built instructions. This solution allows estimating energy demand in reconstructed buildings and correlation of parameters.

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Constraint-based renovation design support through the renovation domain model

Cited by 31 publications

References 22 publications

Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus

Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus

Design of the Refurbishment of Historic Buildings with a Cost-Optimal Methodology: A Case Study

A Multi-Criteria Decision-Making Synthesis Method to Determine the Most Effective Option for Modernising a Public Building

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