Smart homes, home energy management systems and real-time feedback: Lessons for influencing household energy consumption from a Swedish field study

Nilsson, Anders; Wester, Misse; Lazarevic, David; Brandt, Nils

doi:10.1016/j.enbuild.2018.08.026

Cited by 121 publications

(63 citation statements)

References 37 publications

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“…Zhang et al 2018). Pada pembahasan yang berbeda, penelitian tentang bangunan hijau pada hunian (Nilsson et al 2018) menunjukkan bahwa dampak pada konsumsi energi sangat bervariasi di setiap rumah tinggal, menunjukkan bahwa rumah tinggal merespon umpan balik energi yang sangat individual. Hal ini menunjukkan peran masyarakat yang berbeda dalam konsumsi energi pada bangunan hijau.…”

Section: Temuan Dan Pembahasanunclassified

Pemetaan hasil penelitian atap hijau dalam disiplin ilmu arsitektur di Indonesia

Yuliani

Hardiman

Setyowati

2020

ARTEKS J. Tek. Arsit.

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Penelitian atap hijau telah berkembang pada berbagai ragam disiplin ilmu secara mendunia. Namun informasi penelitian dengan tema atap hijau di Indonesia masih terbatas diperoleh, termasuk dari disiplin ilmu arsitektur. Oleh karenanya, sangat penting mengidentifikasi pemetaan penelitian atap hijau dari sudut pandang arsitektur. Tujuan penelitian mengidentifikasi kebaruan penelitian atap hijau yang berpeluang dilakukan di Indonesia. Metode penelitian dengan menggunakan kajian literatur berdasarkan pemetaan melalui Vosviewer dilanjutkan dengan melakukan analisis isi pada sejumlah teori yang telah mengerucut. Hasil penelitian menyimpulkan bahwa penelitian atap hijau dari sudut pandang arsitektur, masih berpeluang pada penelitian yang menggunakan parameter lokasi berbasis iklim dan kriteria kepadatan, fungsi obyek hunian, inovasi bahan dan teknologi atap hijau yang aplikatif digunakan masyarakat Indonesia.

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Section: Temuan Dan Pembahasanunclassified

Pemetaan hasil penelitian atap hijau dalam disiplin ilmu arsitektur di Indonesia

Yuliani

Hardiman

Setyowati

2020

ARTEKS J. Tek. Arsit.

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“…Nilsson and others [18] investigated the impacts of home energy management systems and the availability of data on energy use. The research reports the effects of feedbacks on user behaviours and on consumptions and it illustrates the variability of attitudes of users.…”

Section: The Complexity Of Smart Home Solutionsmentioning

confidence: 99%

The Complexity of Simple Goals: Case Study of a User-Centred Thermoregulation System for Smart Living and Optimal Energy Use

2019

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There are currently several systems for home automation and energy management available on the market. These systems are intended to reduce the use of energy, while ensuring optimal and customizable comfort conditions. The advances in technology (Internet of Things, sensors, cloud computing, data processing and thermal modelling) and in the design of interfaces should facilitate the adoption of convenient behaviours by final users, thereby producing more sustainable use of energy at home. Conversely, the effectiveness and efficiency of smart home systems for thermo-regulation is a complex activity, requiring the collaboration of multiple stakeholders and experts. In this paper, the authors report a case study about the design of a system for thermal regulation at home developed in a multidisciplinary research team for research and industrial purposes. The paper reports results including: a discussion on a number of issues involved in the design of smart home solutions for sustainability and on the importance of developing an integrated approach to their design; the needs analysis of users and of their functional requirements based on investigation with residents and profiling; final remarks about the role of User Experience Design methods and tools in the development of smart home solutions, understood as socio-technical systems.

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“…In this research, the LoRa Low Power Wide Area Network (LPWAN) network has been chosen, with transmission distances of up to 10 km. Comparison of standard load profiles with those obtained with SMs [27] Power consumption Optical sensor to SMs Analysis of measured data to improve electrical energy consumption [28] Energy consumption Commercial SMs Data analysis and clustering [29] Energy consumption ZigBee wireless Data analysis in different scenarios [30] Energy consumption Commercial SMs study and estimation of indicators of load profiles in dwellings [31] Energy consumption Commercial SMs Measure time 15 min Obtaining and analysis of load profiles in houses in Evora (Portugal) [32] Energy consumption Commercial SMs Measure time 15 min Obtaining and analysis of load profiles in 1000 houses in Poland [33] Energy consumption Commercial SMs Measure time 30 min Smart meter dataset Data Analysis and Clustering [34] Energy consumption Commercial SMs…”

Section: Introductionmentioning

confidence: 99%

Performance Optimization LoRa Network by Artificial Bee Colony Algorithm to Determination of the Load Profiles in Dwellings

Caño

Sánchez-Sutil

2020

Energies

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This paper presents a system to improve the performance of the Long Range (LoRa) network using an algorithm derived from the artificial bee colony (ABC), which obtains a minimum packet lost rate (PLR) in the LoRa network and allows to more accurately determine load profiles of dwellings, with smaller a time measurement and less data transmission. The developed algorithm calculates the configuration parameters of the LoRa network, monitoring in real time the data traffic, and is implemented in gateway LoRa network monitor (GLNM). Intelligent measurement equipment has been developed to determine the dwelling load profiles. This energy measurement device for dwelling (EMDD) measures the variables and consumption of electricity in each home with measurement times that can be configured. This research also develops the GLNM gateway, which monitors and receives data from the EMDDs installed and uploads them to the cloud using Firebase. This developed system allows to perform demand forecasting studies, analysis of home consumption, optimization of electricity tariffs, etc., applied to smart grids.

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Smart homes, home energy management systems and real-time feedback: Lessons for influencing household energy consumption from a Swedish field study

Cited by 121 publications

References 37 publications

Pemetaan hasil penelitian atap hijau dalam disiplin ilmu arsitektur di Indonesia

Pemetaan hasil penelitian atap hijau dalam disiplin ilmu arsitektur di Indonesia

The Complexity of Simple Goals: Case Study of a User-Centred Thermoregulation System for Smart Living and Optimal Energy Use

Performance Optimization LoRa Network by Artificial Bee Colony Algorithm to Determination of the Load Profiles in Dwellings

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