People-Centred Approach for ICT Tools Supporting Energy Efficient and Healthy Behaviour in Buildings

Tisov, Ana; Podjed, Dan; D’Oca, Simona; Vetršek, Jure; Willems, Eric; Veld, Peter Op’t

doi:10.20944/preprints201710.0064.v1

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…This framework opted not only for providing guidance for reducing energy consumption, but also took into consideration suggestions for creating a healthy environment. Multiple sensors are used to measure indoor conditions such as temperature, humidity and CO 2 levels along with power consumptions, in addition to user occupancy, thermostat adjustments, windows and doors openings and outdoor environmental variables from online sources [219].…”

Section: Comparison Of Energy Efficiency Projectsmentioning

confidence: 99%

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Himeur,

Alsalemi,

Al-Kababji

et al. 2020

Preprint

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Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy to design an efficient energy efficiency system is not straightforward; it requires a priori knowledge of existing fusion strategies, their applications and their properties. To this regard, seeking to provide the energy research community with a better understanding of data fusion strategies in building energy saving systems, their principles, advantages, and potential applications, this paper proposes an extensive survey of existing data fusion mechanisms deployed to reduce excessive consumption and promote sustainability. We investigate their conceptualizations, advantages, challenges and drawbacks, as well as performing a taxonomy of existing data fusion strategies and other contributing factors. Following, a comprehensive comparison of the state-of-theart data fusion based energy efficiency frameworks is conducted using various parameters, including data fusion level, data fusion techniques, behavioral change influencer, behavioral change incentive, recorded data, platform architecture, IoT technology and application scenario. Moreover, a novel method for electrical appliance identification is proposed based on the fusion of 2D local texture descriptors, where 1D power signals are transformed into 2D space and treated as images. The empirical evaluation, conducted on three real datasets, shows promising performance, in which up to 99.68% accuracy and 99.52% F1 score have been attained. In addition, various open research challenges and future orientations to improve data fusion based energy efficiency ecosystems are explored.Keywords Data fusion • energy efficiency • sensors • appliance identification • fusion of 2D descriptors • machine learning.

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Section: Comparison Of Energy Efficiency Projectsmentioning

confidence: 99%

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Himeur,

Alsalemi,

Al-Kababji

et al. 2020

Preprint

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show abstract

“…Then, outlet air temperature from EAHE and relevant climatic data were used to calculate COP, EER, SCOP and SEER coefficients of the considered air-cooled heat pump. Estimated electricity consumption by the heat pump decreased by 1115 kWh from 16,700 kWh to 15,585 kWh without and with EAHE, respectively.…”

Section: Introductionmentioning

confidence: 98%

“…What is more, in such objects the heat transmission loss through external partitions is usually the most significant [7,14,15] and it can be efficiently minimised at relatively low cost by additional insulation. This approach to the required energy standards of a building can be achieved in a simple way without too much interference with the structure of the building and without costly installation work which is burdensome for the residents [16]. Hence, in practice, in the case of residential buildings, reduction of a ventilation loss is not taken into account and typical modernisations are limited to the installation of new windows with diffusers [17,18].…”

Section: Introductionmentioning

confidence: 99%

Hourly Simulation of an Earth-to-Air Heat Exchanger in a Low-Energy Residential Building

Michalak

2022

Energies

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The earth-to-air heat exchanger (EAHE) is a well-founded and verified solution used in modern buildings both for heating and cooling purposes around the world. However, there is a lack of studies on operation of such devices cooperating with ventilation systems of buildings in hourly time step. In this study, the 5R1C thermal network model of a building from EN ISO 13790 was coupled with the EAHE model from EN 16798-5-1 to calculate hourly outlet air temperature. To improve the effectiveness of the considered solution, an additional algorithm was developed to choose between the EAHE outlet and ambient air as the source of ventilation air. Simulations were conducted in a spreadsheet for a low-energy single-family building. Ground temperature was compared with measurements taken in the considered location. The application of the EAHE with the proposed bypass resulted in a decrease in annual energy use for space heating and cooling from 14.82 GJ and 1.67 GJ to 12.74 GJ and 0.93 GJ, i.e., by 14% and 44%, respectively. Peak hourly heating and cooling thermal power decreased from 2.73 kW and 3.06 kW to 2.21 kW and 2.34 kW. Introduction of a bypass and switching between the EAHE and ambient air as the source of ventilation for the building resulted in annual energy savings of 123 kWh.

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Exploitation of the European Research Projects Aiming to Achieve a Behavior Change for Energy Saving Through Innovative IT Solutions

Launonen

Tisov²,

Germini³

et al. 2019

Sustainable Places 2019

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Under H2020 program, the European Commission (EC) is investing in projects that aim to develop IT tools that are attractive for its users and therefore leading to a long-term behavior change for energy savings. Four of such funded projects are: BENEFFICE, enCOMPASS, MOBISTYLE and UtilitEE. To ensure exploitation and further uptake of the project results, EC provides Support Services for Exploitation of Research Results (SSERR). Through this support, a workshop was held at the Sustainable Places Conference 2019 to present the business value proposition of the above mentioned H2020 projects. This paper presents the outcomes of the workshop on how to pitch the research projects. Conclusive remarks were given to provide projects partners further recommendations on how to exploit the results to key actors (such as investors and business partners).

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People-Centred Approach for ICT Tools Supporting Energy Efficient and Healthy Behaviour in Buildings

Cited by 5 publications

References 14 publications

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Hourly Simulation of an Earth-to-Air Heat Exchanger in a Low-Energy Residential Building

Exploitation of the European Research Projects Aiming to Achieve a Behavior Change for Energy Saving Through Innovative IT Solutions

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