Application of MyBEM, a BIM to BEM platform, to a building renovation concept with solar harvesting technologies

Bouquerel, Mathias; Deutz, Kevin Ruben; Charrier, Benoît; Duforestel, Thierry; Rousset, Mickael

doi:10.26868/25222708.2021.30153

Cited by 4 publications

(2 citation statements)

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“…The results underscore that, on one hand, key strategies for reducing energy consumption include the promotion of energy-efficient technologies and behavioural changes, alongside policy interventions [ 59 ]; Examples of these interventions are energy labelling [ 60 , 61 ], incentives for energy-efficient renovations [ 59 , 62 ], and the promotion of renewable energy sources. On the other hand, the success of these policies, particularly in encouraging consumers to adopt energy-efficient habits, critically depends on the effectiveness of behavioural change.…”

Section: Discussionmentioning

confidence: 99%

Understanding the factors that affect households’ investment decisions required by the energy transition

Aguayo-Mendoza,

Irizar-Arrieta,

Casado-Mansilla

et al. 2024

PLoS ONE

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In energy systems’ economic models, people’s behaviour is often underestimated, and they are generally unaware of how habits impact energy efficiency. Improving efficiency is challenging, and recommendations alone may not be sufficient. Changing behaviour requires understanding the direct impact of needs and habits on energy efficiency. This research introduces a methodology that retrieves human expert knowledge from four key aspects of the current energy transition: everyday appliances, buildings, mobility, flexibility, and energy efficiency. The aim is to examine the causal relationship between energy consumption and human behaviour, gaining a deeper understanding of the links among the factors that drive final energy consumers to change habits through the adoption of energy-saving measures. Working in collaboration with expert panels, this study provides a methodology for extracting expert human knowledge based on a set of future energy transition scenarios aligned with the achievement of the Paris Agreement, a taxonomy of 32 factors that have a strong influence on households’ investment decisions, and the results of a survey that characterises the European population through the 32-factor taxonomy and some socioeconomic conditions. In addition, the survey included a sample of the Latin American population to analyse how socioeconomic conditions (region, education, gender, etc.) influence the prioritisation of these factors. We discuss the high priority given to competence and autonomy over financial factors by inhabitants of the European Union residential sector. We provide an analysis of the factors through which other similar projects are focused and on which we converge. In addition, we contribute by presenting the hierarchy of priorities assigned by people. This highlights the importance for policymakers to take these aspects seriously when implementing energy policy interventions that go beyond purely financial measures and fiscal incentives.

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Section: Discussionmentioning

confidence: 99%

Understanding the factors that affect households’ investment decisions required by the energy transition

Aguayo-Mendoza,

Irizar-Arrieta,

Casado-Mansilla

et al. 2024

PLoS ONE

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“…A detailed model of the SMES implies lumping each component. This results in complex circuit diagrams, which can be solved in, e.g., MATLAB/Simulink or PSCAD/EMTD [79].…”

Section: Superconducting Magnetic Energy Storage Models (Smes) [109]mentioning

confidence: 99%

Modeling Approaches for Residential Energy Consumption: A Literature Review

Nacht,

Pratter,

Ganglbauer

et al. 2023

Climate

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The interest in sustainability and energy efficiency is constantly increasing, and the noticeable effects of climate change and rising energy prices are fueling this development. The residential sector is one of the most energy-intensive sectors and plays an important role in shaping future energy consumption. In this context, modeling has been extensively employed to identify relative key drivers, and to evaluate the impact of different strategies to reduce energy consumption and emissions. This article presents a detailed literature review relative to modeling approaches and techniques in residential energy use, including case studies to assess and predict the energy consumption patterns of the sector. The purpose of this article is not only to review the research to date in this field, but to also identify the possible challenges and opportunities. Mobility, electrical devices, cooling and heating systems, and energy storage and energy production technologies will be the subject of the presented research. Furthermore, the energy upgrades of buildings, their energy classification, as well as the energy labels of the electric appliances will be discussed. Previous research provided valuable insights into the application of modeling techniques to address the complexities of residential energy consumption. This paper offers a thorough resource for researchers, stakeholders, and other parties interested in promoting sustainable energy practices. The information gathered can contribute to the development of effective strategies for reducing energy use, facilitating energy-efficient renovations, and helping to promote a greener and more sustainable future in the residential domain.

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