Development of an electronic device with wireless interface for measuring and monitoring residential electrical loads using the non-invasive method

Pereira, André Araújo Kuhn; Menezes, Raimundo; Jadidi, Aydin; Jong, Pieter de; Lima, Carla Caroline Valença de

doi:10.1007/s12053-020-09887-z

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…The adoption of a monitoring systems enables to identify users’ behaviours with respect to electric load usage and to perform load shifting from peak periods to off-peak periods of the electricity tariff. Most advanced monitoring systems enable to identify loads connected to the electricity network from a single aggregate current waveform, considering the fingerprints of the loads’ current waveforms previously measured and stored in the system and applying an algorithm which can detect correlation, such as the Pearson's correlation or an artificial neural network ( Araújo Kuhn Pereira et al , 2020 ). In case study 3, the monitoring system was owned by the ESCO and offered with a pay per use formula, which means that the customer agreed to pay a monthly fee to the ESCO for using the monitoring system to obtain the measurements of interest.…”

Section: Case Study-3mentioning

confidence: 99%

The Ring Fencing Mechanism: a case study of innovative self-financing approach for energy efficiency upgrades

Agrawal¹,

Tommasi²,

Lyons³

2022

Open Res Europe

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This paper introduces an enhanced energy auditing process including a ring-fencing mechanism for the selection of energy efficiency measures considering a multi-stage planning of the energy retrofitting project. The proposed ring-fencing approach enables SMEs to overcome the barrier of lack of capital for the implementation of energy efficiency measures by implementing first no-cost measures and only after that energy savings are accumulated considering the installation of low-cost, medium-cost and finally high-cost measures. The advantages of the proposed methodology are illustrated by means of three case studies, where a variety of energy efficiency measures were first identified throughout the auditing process involving three different SMEs, then most effective measures were selected and scheduled to be implemented according to a multi-annual plan while considering budget and operational constraints. The results of the pilot studies show that the business owners have improved their decision-making with respect to energy efficiency upgrades by engaging in the auditing process and accepting the recommendations about the suggested interventions to maximize financial (and environmental) benefits.

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Section: Case Study-3mentioning

confidence: 99%

The Ring Fencing Mechanism: a case study of innovative self-financing approach for energy efficiency upgrades

Agrawal¹,

Tommasi²,

Lyons³

2022

Open Res Europe

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“…Many studies have been conducted to increase the energy efficiency and reduce the GHG emissions of existing buildings. Many are related to the upgrade of space conditioning [10][11][12][13][14], hotwater systems [15][16][17], lighting systems [18][19][20][21], electronic appliances [22][23][24] or plug load [25][26][27]. These studies have analyzed the overall energy consumption reduction effect by upgrading major building systems using representative residential buildings by region.…”

Section: Introductionmentioning

confidence: 99%

Carbon Footprint Reduction through Residential Building Stock Retrofit: A Metro Melbourne Suburb Case Study

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2021

Energies

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Since existing residential buildings are a significant global contributor to energy consumption and greenhouse gas (GHG) emissions, any serious effort to reduce the actual energy and carbon emissions of the building sector should explicitly address the carbon mitigation challenges and opportunities in the building stock. This research investigates environmentally and economically sustainable retrofit methods to reduce the carbon footprint of existing residential buildings in the City of Greater Dandenong as a case study in Metropolitan Melbourne, Australia. By categorizing energy use into various building age brackets and dwelling types that align with changes in energy regulations, we identified various retrofit prototypes to achieve a targeted 6.5-star and 8-star energy efficiency rating (out of a maximum 10-star rating system). The corresponding operational energy savings through different retrofit options are examined while also considering the quantity of materials required for each option, along with their embodied energy and GHG emissions, thus allowing a more comprehensive lifecycle carbon analysis and exploration of their financial and environmental payback times. Results show that when buildings are upgraded with a combination of insulation and double-glazed windows, the environmental benefits rise faster than the financial benefits over a dwelling’s lifecycle. The size or percentage of a particular dwelling type within the building stock and the remaining lifecycle period are found to be the most important factors influencing the payback periods. Retrofitting the older single detached dwellings shows the greatest potential for lifecycle energy and carbon savings in the case suburb. These findings provide households, industry and governments some guidance on how to contribute most effectively to reduce the carbon footprint of the residential building sector.

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A new NIALM system design based on neural network architecture and adaptive springy particle swarm optimization algorithm

et al. 2023

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Development of an electronic device with wireless interface for measuring and monitoring residential electrical loads using the non-invasive method

Cited by 4 publications

References 18 publications

The Ring Fencing Mechanism: a case study of innovative self-financing approach for energy efficiency upgrades

The Ring Fencing Mechanism: a case study of innovative self-financing approach for energy efficiency upgrades

Carbon Footprint Reduction through Residential Building Stock Retrofit: A Metro Melbourne Suburb Case Study

A new NIALM system design based on neural network architecture and adaptive springy particle swarm optimization algorithm

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