Multi-criteria decision-making process for buildings

Balcomb, J.D.; Curtner, A.

doi:10.1109/iecec.2000.870762

Cited by 25 publications

(21 citation statements)

References 1 publication

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“…Although engineering tradeoffs lead to numerous optimal and near-optimal solutions, e.g. Pareto fronts [11], early design choices lead to the building's ultimate sustainability [12]. Confounding the problem is information sharing with conflicting objectives in the collaborative design process [13].…”

Section: Literature Reviewmentioning

confidence: 99%

An energy signal tool for decision support in building energy systems

Henze¹,

Pavlak²,

Florita³

et al. 2015

Applied Energy

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We demonstrate an energy signal tool for commercial buildings. The tool estimates energy use for different end uses. It accounts for uncertainty in model parameters and inputs. An indicator (stoplight color) is chosen to minimize misclassification cost. Parameter distributions are adjusted over time via Bayesian updating. a b s t r a c t A prototype energy signal tool is demonstrated for operational whole-building and system-level energy use evaluation. The purpose of the tool is to give a summary of building energy use which allows a building operator to quickly distinguish normal and abnormal energy use. Toward that end, energy use status is displayed as a traffic light, which is a visual metaphor for energy use which is substantially different from expected (red and yellow lights) or more or less the same as expected (green light). Which light to display for a given energy end-use is determined by comparing expected energy use to actual energy use. As expected energy use is necessarily uncertain, we cannot choose the appropriate light with certainty. Instead the energy signal tool chooses the light by minimizing the expected cost of displaying the wrong light. The expected energy use is represented by a probability distribution. Energy use is modeled by a low-order lumped parameter model. Uncertainty in energy use is quantified by a Monte Carlo exploration of the influence of model parameters on energy use. Distributions over model parameters are updated over time via Bayes' theorem. The simulation study is devised to assess whole building energy signal accuracy in the presence of uncertainty and faults at the submetered level, which may lead to tradeoffs at the whole building level not detectable without submetering.Published by Elsevier Ltd.

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Section: Literature Reviewmentioning

confidence: 99%

An energy signal tool for decision support in building energy systems

Henze¹,

Pavlak²,

Florita³

et al. 2015

Applied Energy

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“…User inputs are starting to be embedded in software tools. A basic option for user inputs was embedded in Bentley's GADES optimization software [10] and suggested by Balcomb and Curtner in the MCDM software [60].…”

Section: Design Evaluationmentioning

confidence: 99%

Computer-Based Form Generation in Architectural Design — A Critical Review

Grobman

Yezioro

Capeluto

2009

International Journal of Architectural Computing

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The idea of using computers for form generation and evaluation in the architectural design process has been put forward already in the early days of computers. However, as opposed to computer aided drafting, the generation of form, its optimization and manufacturing has not been widely accepted and implemented by practitioners.The paper critically reviews the research and state of the practice experiments that has been done in this field and develops an argument regarding the possibilities and limitations of computer-based form generation in the architectural design process.

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“…This method developed by National Renewable Energy Laboratory, USA (Solar Heating and Cooling Programme, Task 23) [15]. To transform different quantitative units of indicators into scores so-called "4-to-10" measurement scales are being used (1-3 formulas).…”

Section: Calculation According To Multi-criteria Decision-making Methmentioning

confidence: 99%

“…The model is used to aggregate the scores into one score based on the criteria weights [15][16][17][18][19].…”

Section: Calculation According To Simple Additive Weighting (Saw)mentioning

confidence: 99%

Automated Evaluation of Alternative Solutions of Building Design

Šaparauskas¹

2008

ISARC 2008 - Proceedings From the 25th International Symposium on Automation and Robotics in Construction

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The purpose of this article -is to create theoretical model in order to enable in automated manner to compare different solutions of building, its part or structure design and to select the best alternative under specific circumstances. Summarizing variant design theory and practice applications in Lithuania and abroad, evaluation model of alternative design solutions is created. By assistance of this model it will be possible to evaluate design solutions which can be characterized by quantitative and qualitative indicators which possibly have different weight, dimention and direction of optimization (maksimization or minimization). Automated alternatives' evaluation working principle is demonstrated by selecting the best facade system to cover the building. For this purpose four building facades alternatives is under consideration. It is soundly described how all stages of alternatives comparison is performed and which multiple criteria evaluation methods can be applied by selecting the best alternative. KEYWORDSAutomated evaluation, theoretical model, facade system, multiple criteria evaluation methods INTRUDUCTIONUsually the lifecycle of every building covers the following stages: generation of idea (predesign proposals), design, construction, maintenance, reconstruction (if possible) and demolition (disposal). Some authors (O'Sullivan etc) [1] distinguished life-cycle elements otherwise (see Fig 1) but nevertheless one of the most important stages remaines the building design preparation. On building design depends forthcoming: construction technology, terms and price of construction, aesthetical view and performance of building (usage term, lifecycle costs, quality of life level), environmental impact during building demolition, and also other features. How to take the right design solution? In many cases it is not possible to do that from the first time. Therefore, one have to look through many alternatives. Just after analysis of all advantages and disadvantages of different design solutions and their magnitude it is possible to say which solution of building (or its part) design is the best. Procedure mentioned seems very simple in this regard, however many labour expenditures are needed.The goals to be achieved in this contribution are as following:• to carry out a survey on building design processes;• to survey previous attempts assessing building design alternatives;• to suggest and describe assessment methodology to compare building design alternatives;• to gain qualitative and quantitative information on some building design options;• to perform calculations comparing different building design alternatives of particular building structure;• to present conclusions about suitability of suggested methodology. IMPORTANCE OF BUILDING DESIGN PROCESSGlobally, scientists-engineers are trying to solve many different problems in building design stage.Wen [2] analysed structural failures in recent earthquakes and hurricanes. The author has exposed the weakness of current design procedures and shown th...

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Multi-criteria decision-making process for buildings

Cited by 25 publications

References 1 publication

An energy signal tool for decision support in building energy systems

An energy signal tool for decision support in building energy systems

Computer-Based Form Generation in Architectural Design — A Critical Review

Automated Evaluation of Alternative Solutions of Building Design

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