Sustainability evaluation for early design (SEED) framework for energy use, embodied carbon, cost, and daylighting assessment

Bernett, Allison; Kral, Katharina; Dogan, Timur

doi:10.1080/19401493.2020.1865459

Cited by 13 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MF provides decision-makers with a design space in the form of an option dataset. The space maybe representative space sampled by LHS(Latin hypercube sampling) [32] or MCS (Monte-Carlo simulation) [20,32], or global space [34,35] when the whole space is small, or (near)-optimal design space [8], The variables and corresponding performance of each option are transparent. The key is to display the "design-performance space" more statically and explicitly so that it is easier to identify the potential solution.…”

Section: Existing Design Space Exploration Methodsmentioning

confidence: 99%

“…In practice, design variables, including but not limited to geometry [3], thermal conductivity [4,5], energy efficiency of HVAC and renewable energy systems [6], constitute the design space. Corresponding performance space consists of quantitative requirements and qualitative requirements depending on the targets and preference of stakeholders, such as Green House Gas emission [7], life cycle cost [8], aesthetics [9] and spatial experience. Based on the consensus that the earlier a decision is IOP Publishing doi:10.1088/1755-1315/1078/1/012039 2 made, the higher potential of influence a decision has on the final building performance and costs [10], DSE for the early building design is a key step to achieve the final targets.…”

Section: Needs For Design Space Exploration In the Early Building Des...mentioning

confidence: 99%

“…To avoid numerical centered optimization and the shortage of solution diversity for post exploration, expanding the optimal design space to near-optimal space can preserve more room for qualitative diversity [8,9,50]. For example, Brown et al have illustrated that 2.5% penalty for the quantitative objective increases 86% of geometric diversity [50].…”

Section: 32mentioning

confidence: 99%

See 2 more Smart Citations

Suggestions for solution space exploration in the early stage of architectural design based on a literature review

Yang

2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Early design decisions have higher potential to influence building performance compared with the decisions made at later design stages. Performance simulation and optimization algorithms have been integrated to assist early design in reducing carbon emissions, improving indoor thermal comfort, etc. However, early decision making within a limited time frame is still challenging due to the large number of design options, the lack of decision-making guidance, and the trade-offs among various requirements. Selecting appropriate methods to explore design space is the key to find an ideal solution. This paper reviewed the challenges and identified the key questions to access the ability of existing decision-making methods to cope with different challenges. It is concluded that the interactive exploration of design space could be more effective and efficient by (1) combining the surrogate models and the automated optimization algorithms to improve the efficiency of the building performance calculation and the optimal design space position; and by (2) extending the optimal design space to increase the solution diversity, and (3) filtering the near optimal design space with consideration of the stakeholders’ preferences and values. Further integration of tools for building performance simulation, diversity description and decision-making guidance is needed to support the decision -making process.

show abstract

Section: Existing Design Space Exploration Methodsmentioning

confidence: 99%

Section: Needs For Design Space Exploration In the Early Building Des...mentioning

confidence: 99%

See 1 more Smart Citation

Suggestions for solution space exploration in the early stage of architectural design based on a literature review

Yang

2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Among the limited efforts, Gagnon et al compared holistic and sequential design for a residential building using 39 design variables (mostly associated with envelope system) and three objectives of cost, thermal comfort and greenhouse gas emission [55]. Bernett et al developed an early design decision-making framework to generate schematic designs that are ranked based on energy use, embodied carbon [56]. Similar multi-objective optimization approach is used to balance HVAC energy cost and occupants comfort [57], envelope design by energy use, environmental and financial cost [58], and envelope design variables based on operational and embodied energy [59].…”

Section: Early Designmentioning

confidence: 99%

Sustainable early design exploration of mid-rise office buildings with different subsystems using comparative life cycle assessment

Esteghamati

Sharifnia

Ton

et al. 2022

Journal of Building Engineering

View full text Add to dashboard Cite

Minimizing environmental impacts over a building's life cycle is critical to achieving sustainable communities. Early design is the most critical step to improve construction's sustainability, as the majority of important decisions have not yet been made. However, the implementation of sustainability assessment in early design is data-and effort-intensive, resulting in limited whole building life cycle assessments. Previous studies have mainly focused either on single residential structures, included only a subset of building components, or investigated early design parameters mostly associated with energy efficiency. Whereas, comparison of alternative building subsystems at early design received less attention. This study aims to provide and utilize benchmark data for the life-cycle impacts of mid-rise office buildings, focusing on the impact of building subsystem selection at early design exploration. Environmental impacts were compared across six professionally-designed archetypes comprising compatible combinations of foundation, floor, and structural assemblies for a site in Charleston, South Carolina. Detailed operational energy modeling was performed using the EnergyPlus framework, where a range of code-compliant envelope systems are studied and paired with other assemblies. Lastly, sensitivity assessment and statistical analysis are performed to quantify uncertainty associated with the use of such data for early design guidance. The results suggest that decisions associated with the use phase (such as envelope selection) dominates life cycle impacts and should be prioritized. Additionally, no single subsystem governs all embodied impacts across different buildings. Lastly, it is critical to consider a large number of alternatives at the early design stage, as excluding a combination of subsystems might close pathways to reaching a more environmentally suitable alternative during design iterations/optimization.

show abstract

“…The established indicator system should include various factors that have a key impact on the sustainability of regional microgrid interconnection system. The evaluation indicator system should be established on the basis of the following selection principles [25]:…”

Section: Construction Of the Evaluation Indicator System 21 Principle...mentioning

confidence: 99%

Sustainability Intelligent Evaluation of Regional Microgrid Interconnection System Based on Combination Entropy Weight Rank Order-TOPSIS and NILA-KELM

Wang¹,

Fan²,

Meng³

et al. 2022

Energy Engineering

View full text Add to dashboard Cite

Sustainability evaluation of regional microgrid interconnection system is conducive to a profound and comprehensive understanding of the impact of interconnection system projects. In order to realize the comprehensive and scientific intelligent evaluation of the system, this paper proposes an evaluation model based on combination entropy weight rank order-technique for order preference by similarity to an ideal solution (TOPSIS) and Niche Immune Lion Algorithm-Extreme Learning Machine with Kernel (NILA-KELM). Firstly, the sustainability evaluation indicator system of the regional microgrid interconnection system is constructed from four aspects of economic, environmental, social, and technical characteristics, and the evaluation indicators are explained. Then, the classical evaluation model based on TOPSIS is constructed, and the entropy weight method and rank order method (RO) are coupled to obtain the indicator weight. The niche immune algorithm is used to improve the lion algorithm, and the improved lion algorithm is used to optimize the parameters of KELM, and the intelligent evaluation model based on NILA-KELM is obtained to realize fast real-time calculation. Finally, the scientificity and accuracy of the model proposed in this paper are verified. The model proposed in this paper has the lowest RMSE, MAE and RE values, indicating that its intelligent evaluation results are the most accurate. This study is conducive to the horizontal comparison of the overall performance of regional microgrid interconnection system projects, helps investors to choose the most promising project scheme, and helps the government to find feasible project.

show abstract

Sustainability evaluation for early design (SEED) framework for energy use, embodied carbon, cost, and daylighting assessment

Cited by 13 publications

References 17 publications

Suggestions for solution space exploration in the early stage of architectural design based on a literature review

Suggestions for solution space exploration in the early stage of architectural design based on a literature review

Sustainable early design exploration of mid-rise office buildings with different subsystems using comparative life cycle assessment

Sustainability Intelligent Evaluation of Regional Microgrid Interconnection System Based on Combination Entropy Weight Rank Order-TOPSIS and NILA-KELM

Contact Info

Product

Resources

About