scholarly journals expanding Boundaries - From a Simple Tool for Energy Efficient Design in the Early Design Phase to Dynamic Simulations in a Later Design Stage – A. Miyamoto, D. Trigaux, T. Nguyen Van, K. Allacker, F. De Troyer

2016 ◽  
Author(s):  
Miyamoto, A. ◽  
Trigaux, D. ◽  
Nguyen, T.
2020 ◽  
Author(s):  
Freia Harzendorf ◽  
Ralf Schelenz ◽  
Georg Jacobs

Abstract. In order to identify holistically better drivetrain concepts for onshore application, their operational behaviour needs to be considered at an early design phase. In this paper, a validated approach for estimating drivetrain concept-specific risk of unplanned maintenance based on open access data is presented. Uncertain influencing factors are described with distribution functions. This way, the poor data availability in the early design phase can be used to give an indication about the concept’s choice influence on the unplanned operational turbine behaviour. In order to get representative comparisons, Monte Carlo method is applied. This makes it possible to model the life of a fictional wind turbine based on the derived distributions. Technical availability and drivetrain influenced unplanned maintenance effort are defined as evaluation criteria. The latter is constituted by labour, material, and equipment expenses. By calculating the range of fluctuation of the evaluation criteria mean values, this approach offers an indication about the inherent risk in the operational phase induced by the drivetrain concept choice. This approach shows that open access data or expert estimations are sufficient for comparing different drivetrain concepts over the operational phase in an early design stage. The approach is applied on the five most common state-of-the-art drivetrain concepts. The comparison shows that the drivetrain concept without a gearbox and with a permanent magnet synchronous generator performs the best in terms of absolute unplanned maintenance effort over the lifetime as well as on the inherent risk. For future research, the influence of the maintenance strategy as well as site and park specific impacts on the unplanned concept behaviour should be included. For adapting this method to new concepts, a physically based approach could be developed which would make it possible to estimate probability distributions for the uncertain factors. Nevertheless, this approach will help to identify holistically better drivetrain concepts by being able to estimate the inherent risks in the operational phase.


2021 ◽  
Vol 13 (17) ◽  
pp. 9815
Author(s):  
Abdo Abdullah Ahmed Gassar ◽  
Choongwan Koo ◽  
Tae Wan Kim ◽  
Seung Hyun Cha

Optimizing the building performance at the early design stage is justified as a promising approach to achieve many sustainable design goals in buildings; in particular, it opens a new era of attractive energy-efficient design for designers and architects to create new building constructions with high-energy efficiency and better overall performance. Accordingly, this study aims to provide a comprehensive review of performance optimization studies on heating, cooling, and lighting energy systems of buildings during the design stages, conducting a systematical review covering various aspects ranging from the building type, optimization inputs, the approach used, and the main conclusion. Furthermore, the benefits and limitations of early optimizations in the energy-efficient design performance of buildings and future research directions are identified and discussed. The review results show that previous research efforts of optimizing energy-efficient design performance in buildings have addressed a wide variety of early stage design optimization issues, including orientation and multi-objective building function-related conflicts, such as cooling and lighting. However, significant research issues related to investigations of design envelope materials, proper energy-efficient design form, and other passive parameters, such as solar photovoltaic systems, are still lacking. Therefore, future research should be directed towards improving existing optimization approach frameworks in the context of appropriate energy-efficient design features; integrating sensitivity and uncertainty analyses in the performance optimization framework of buildings to provide a more balanced assessment of influential design envelope properties and extending optimal design envelope investigations of buildings to include other passive parameters and lifecycle assessment under long-term weather conditions.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruochen Zeng ◽  
Abdol Chini ◽  
Robert Ries

PurposeAs green building movement is widespread throughout the world, low-energy building becomes the standard. A designer's selection of building systems and materials during early design phase becomes more important. It is essential that designers include embodied energy and emissions among other criteria they use in selecting materials during the design development phase of a building. The aim of this study is to develop a model to integrate the embodied energy, embodied emissions, and cost of the alternative structure and envelope systems of a building during the design development stage.Design/methodology/approachA conceptual model is proposed to integrate the embodied energy, embodied emissions, and cost of the alternative structure and envelope systems of a building. A case study is used to test the proposed model in predicting the embodied impacts and cost of structure and envelope systems for an educational building.FindingsThe proposed model can assist designers in making informed decisions at the early design stage and selecting alternative structure and envelope systems considering embodied impacts and costs.Social implicationsDesigners consider reducing embodied impacts of buildings during early design phase as an important social responsibility, especially for megaprojects, which have great impact on our daily life.Originality/valueDevelopment of a model that can be used to support design decisions regarding sustainable design (embodied energy and embodied carbon emissions) and costs of buildings in early design phase.


2018 ◽  
Vol 16 (3) ◽  
pp. 299-314 ◽  
Author(s):  
Ki Pyung Kim ◽  
Kenneth Sungho Park

Purpose The purpose of this study is to identify building information modelling (BIM) input data sets within a BIM-embedded housing refurbishment process and enable construction professionals to use BIM as an information management platform for housing refurbishment projects. Design/methodology/approach A hypothetical case study using BIM tools for a housing refurbishment project is adopted to identify BIM input data sets to create a housing information model within a BIM system. Reliability of the research outcome is examined by conducting a comparative analysis between existing and simulated research outcomes. Findings This research identifies essential BIM input data sets during the early design phase. The importance of a well-integrated housing information model containing accurate as-built condition, cost and thermal performance information is essential to use BIM for housing refurbishment. BIM can be feasible for housing refurbishment when an information-enriched housing information model is constructed. Furthermore, the capability of BIM that can enable key project stakeholders to determine the most affordable refurbishment solution among various alternatives is identified as BIM can provide reliable cost estimations and thermal performance of refurbishment alternatives at the early design stage. Research limitations/implications The examined refurbishment processes and input data sets are confined to the early design phases as BIM use for housing refurbishment is limited. Practical implications This research will contribute to use BIM for housing refurbishment by providing essential BIM input data sets and BIM-embedded refurbishment processes. Originality/value This research reveals primary housing information data sets and BIM-embedded refurbishment processes at the early design phase.


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