Short answer

When designing building upgrades, prioritize technologies that offer a demonstrable return on investment in terms of energy savings, and develop targeted approaches for older building stock.

Field: Sustainability
Source: OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (2018)
Method: Mixed-methods approach (questionnaire, case study, interviews, verification)
Evidence: Moderate effect

A predictive model can estimate the energy performance of existing buildings after incorporating sustainable technologies, aiding in strategic upgrade decisions. This sustainability research insight is drawn from a 2018 study published in OPUS - Open Publications of UTS Scholars (University of Technology Sydney). Using Mixed-methods approach (questionnaire, case study, interviews, verification), researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing building upgrades, prioritize technologies that offer a demonstrable return on investment in terms of energy savings, and develop targeted approaches for older building stock.

Study

SustainabilityHigh ImpactModerate effect

Predictive Model for Sustainable Building Upgrades

A predictive model can estimate the energy performance of existing buildings after incorporating sustainable technologies, aiding in strategic upgrade decisions.

OPUS - Open Publications of UTS Scholars (University of Technology Sydney) · 2018

Key Findings

01Sustainable technologies adopted for upgrades are often less expensive, resulting in lower energy reduction.
02Technologies that significantly improve energy savings are primarily applied to newer buildings, with older buildings receiving less investment.

Application

Design takeaway

When designing building upgrades, prioritize technologies that offer a demonstrable return on investment in terms of energy savings, and develop targeted approaches for older building stock.

How to apply

Use predictive modelling to assess the potential energy savings and economic viability of different sustainable technology packages for various building types and ages before implementation.

Project actions

01When researching sustainable technologies, consider their cost and the age of the building you are designing for.
02Think about how to make older buildings more energy-efficient, not just newer ones.

Method & Evidence

AimTo develop a predictive model for estimating the energy consumption of existing buildings upgraded with sustainable technologies.

MethodMixed-methods approach (questionnaire, case study, interviews, verification)

ProcedureThe research involved a literature review on sustainable development, building upgrades, and energy consumption prediction tools. A conceptual framework was developed, followed by data collection through questionnaires, case studies, and interviews to understand the relationship between building age, sustainable technologies, and energy consumption.

ContextExisting buildings, sustainable technologies, energy performance

Variables

IV["Type of sustainable technology","Building age"]

DV["Energy consumption reduction","Greenhouse gas emission reduction"]

CV["Building size","Building use","Climate zone"]

Strengths & Limitations

Strengths

+Utilizes a mixed-methods approach for comprehensive data collection.
+Develops a conceptual framework to guide the predictive model.

Limitations

It's hard to get exact energy data for older buildings, and the 'best' sustainable technology can change quickly.

Reliability & validity

The reliability of the predictive model would depend on the quality and quantity of data used for its development and validation. Validity would be assessed by comparing the model's predictions against actual energy performance data from a diverse range of upgraded buildings.

Think critically

How can design interventions address the observed disparity in investment for sustainable upgrades between older and newer buildings?

Design Principles

"The effectiveness of sustainable technology integration in existing buildings is influenced by the technology's cost, the building's age, and the investment strategy."

Understanding the energy performance of upgraded buildings is crucial for architects, engineers, and urban planners to make informed decisions about retrofitting existing structures. This insight supports the development of more sustainable built environments by providing a tool to forecast the impact of technological interventions.

What This Means for Your Design

This research created a way to guess how much energy a building will save after adding new green technology, showing that cheaper tech saves less and newer buildings get upgraded more.

How to use in your project

1.Reference this study when discussing the importance of predictive modelling for energy efficiency in your design project.
2.Use the findings to justify your choice of sustainable technologies and to discuss potential limitations in energy savings.

Add to My Project

Quick Cite

Paragraph starter

This research highlights the importance of predictive modelling in assessing the energy performance of existing buildings upgraded with sustainable technologies. The findings suggest that the cost-effectiveness of chosen technologies and the age of the building significantly influence the actual energy savings achieved, indicating a need for tailored upgrade strategies, particularly for older structures.

Source

OPUS - Open Publications of UTS Scholars (University of Technology Sydney)

A model for predicting the energy performance of existing buildings upgraded with sustainable technologies

journal · 2018

View source

Questions About This Research

What does the research say about predictive model for sustainable building upgrades?: When designing building upgrades, prioritize technologies that offer a demonstrable return on investment in terms of energy savings, and develop targeted approaches for older building stock. Evidence: OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (2018).
Why does "Predictive Model for Sustainable Building Upgrades" matter for design?: Understanding the energy performance of upgraded buildings is crucial for architects, engineers, and urban planners to make informed decisions about retrofitting existing structures. This insight supports the development of more sustainable built environments by providing a tool to forecast the impact of technological interventions.
How can designers apply this research?: When designing building upgrades, prioritize technologies that offer a demonstrable return on investment in terms of energy savings, and develop targeted approaches for older building stock.
What were the main findings?: Sustainable technologies adopted for upgrades are often less expensive, resulting in lower energy reduction.. Technologies that significantly improve energy savings are primarily applied to newer buildings, with older buildings receiving less investment.
What research method was used?: Mixed-methods approach (questionnaire, case study, interviews, verification).
How strong is the evidence?: Evidence strength is rated Moderate effect, based on a 2018 journal from OPUS - Open Publications of UTS Scholars (University of Technology Sydney).
What should I do differently in my next project?: Use predictive modelling to assess the potential energy savings and economic viability of different sustainable technology packages for various building types and ages before implementation.
What are the limitations?: The model's accuracy may vary depending on the specific types of sustainable technologies and the diverse characteristics of existing buildings.