Analysing the house-owners’ perceptions on benefits and barriers of energy renovation in Swedish single-family houses

Azizi, Shoaib; Nair, Gireesh; Olofsson, Thomas

doi:10.1016/j.enbuild.2019.05.034

Cited by 61 publications

(41 citation statements)

References 36 publications

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“…Some examples of the sensors used in the building industry are PIR sensors, CO 2 sensors, vision-based detectors, etc. Each of these sensors can provide a certain level of resolution and accuracy and have specific installation limitations and privacy concerns [ 42 ].…”

Section: Academic Buildings and Iot-based Smart Toolsmentioning

confidence: 99%

“…Research shows that occupancy detection technologies can significantly improve the energy efficiency in non-residential buildings by occupancy-based control strategies that can reach over 50% energy saving [ 42 ]. The occupancy information can also be used for other applications such as building security, demand response, conducting behavior change campaigns, and space use management [ 5 , 37 , 43 , 44 ].…”

Section: Academic Buildings and Iot-based Smart Toolsmentioning

confidence: 99%

“…Further, most of the papers on the subject focus on performance criteria of occupancy detection, such as accuracy for a new system design applied in small scale laboratory studies [ 7 ]. Multiple applications of occupancy detection systems make it easier to justify the cost of their deployment [ 42 ]. Therefore, it is important to pursue new applications for occupancy detection technologies and evaluate them in real-life situations to enable smart IoT-based environments.…”

Section: Academic Buildings and Iot-based Smart Toolsmentioning

confidence: 99%

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Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

Azizi

Nair

Rabiee

et al. 2020

Building and Environment

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Environmental sustainability in academic buildings can be improved with management interventions such as improving space use efficiency supported by large data from the Internet of Things (IoT). Due to the potentials, the interest in the use of IoT tools for facility management is high among universities. However, empirical studies on this topic are scarce. To address the knowledge gap in this area, this study proposes and examines a process model with steps to measure space use and to improve space use efficiency by IoT tools in academic buildings. The applicability of the model is investigated in 8 lecture halls in a university building by using occupancy and booking data from IoT tools. Four space use indicators are developed to visualize the data and quantify space use, and based on them, the strategies and interventions for space use efficiency are proposed and discussed.

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Section: Academic Buildings and Iot-based Smart Toolsmentioning

confidence: 99%

Section: Academic Buildings and Iot-based Smart Toolsmentioning

confidence: 99%

Section: Academic Buildings and Iot-based Smart Toolsmentioning

confidence: 99%

See 1 more Smart Citation

Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

Azizi

Nair

Rabiee

et al. 2020

Building and Environment

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“…Low operational energy use requires more materials with their own emission footprint. The inclusion of all phases of the building life cycle in the emission assessment is thus suggested [26].The perceptions of the benefits of energy renovations in Swedish single-family houses were found to vary according to motivation to perform the renovations [27]. The indoor environment was often found to be a more important reason for house renovations than reducing energy consumption.…”

mentioning

confidence: 99%

“…The perceptions of the benefits of energy renovations in Swedish single-family houses were found to vary according to motivation to perform the renovations [27]. The indoor environment was often found to be a more important reason for house renovations than reducing energy consumption.…”

mentioning

confidence: 99%

Towards the EU Emission Targets of 2050: Cost-Effective Emission Reduction in Finnish Detached Houses

et al. 2019

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To mitigate the effects of climate change, the European Union calls for major carbon emission reductions in the building sector through a deep renovation of the existing building stock. This study examines the cost-effective energy retrofit measures in Finnish detached houses. The Finnish detached house building stock was divided into four age classes according to the building code in effect at the time of their construction. Multi-objective optimization with a genetic algorithm was used to minimize the life cycle cost and CO2 emissions in each building type for five different main heating systems (district heating, wood/oil boiler, direct electric heating, and ground-source heat pump) by improving the building envelope and systems. Cost-effective emission reductions were possible with all heating systems, but especially with ground-source heat pumps. Replacing oil boilers with ground-source heat pumps (GSHPs), emissions could be reduced by 79% to 92% across all the studied detached houses and investment levels. With all the other heating systems, emission reductions of 20% to 75% were possible. The most cost-effective individual renovation measures were the installation of air-to-air heat pumps for auxiliary heating and improving the thermal insulation of external walls.

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Optimization of Housing Retrofit Policies: A Perspective of Homeowners’ Motivations

Wang

2023

Lecture Notes in Operations Research

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Analysing the house-owners’ perceptions on benefits and barriers of energy renovation in Swedish single-family houses

Cited by 61 publications

References 36 publications

Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

Towards the EU Emission Targets of 2050: Cost-Effective Emission Reduction in Finnish Detached Houses

Optimization of Housing Retrofit Policies: A Perspective of Homeowners’ Motivations

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