Dataset Information

Electrical dataset of household appliances in operation in an apartment.

ABSTRACT: This data article presents electricity demand data on common household appliances in the Dominican Republic and therefore in the Caribbean region, as well as appliances whose demand characteristics are maintained regardless of geographic location. A one-hour record is made in most cases, for 17 household appliances, containing information on power demand, effective current, power factor and harmonic distortion of voltage and current. The average, minimum, and maximum values of each parameter for one minute are provided. The data were obtained using the Fluke-1738 electrical network analyzer. The data can be used to build demand profiles in the residential or commercial sector, depending on the composition of electrical appliances and the hours of use, dimension photovoltaic systems for self-consumption and emergency electrical sources. Although the number of household appliances and conditions of use of some appliances do not constitute a representative sample, the dataset and the measurement method constitute a starting point for obtaining this type of records, which are scarce in the literature.

SUBMITTER: Garabitos Lara E

PROVIDER: S-EPMC10654533 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Electrical dataset of household appliances in operation in an apartment.

Garabitos Lara Edwin E Vallejo Díaz Alexander A Pereyra Mariñez Carlos Napoleón CN

Data in brief 20231031

This data article presents electricity demand data on common household appliances in the Dominican Republic and therefore in the Caribbean region, as well as appliances whose demand characteristics are maintained regardless of geographic location. A one-hour record is made in most cases, for 17 household appliances, containing information on power demand, effective current, power factor and harmonic distortion of voltage and current. The average, minimum, and maximum values of each parameter f ...[more]

PMID: 38020420

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Project description:Assessing the environmental impact due to consumption of goods and services is a pivotal step towards achieving the sustainable development goal related to responsible production and consumption (i.e. SDG 12). Household appliances plays a crucial role and should be assessed in a systemic manner, namely considering all life cycle stages, technological efficiency, and affluence aspects. The present study assess the impact of such household appliances used in Europe, and tests scenarios of potential impact reduction at various scales. Life cycle assessment is applied to 14 different household appliances (ranging from dishwashers to television devices) selected to build a set of representative products, based on their economic value and diffusion in households in Europe. Related impacts are calculated with the Environmental Footprint method for calculating a Consumer Footprint "appliances" for the baseline year 2010. A number of scenarios encompassing eco-solutions on a technical level, changes in consumption pattern, behavioral changes, as well as the combination of all these aspects are run to estimate the Consumer Footprint related to household appliances for the year 2030, compared against this baseline scenario. The baseline Consumer Footprint is confirming the importance of the use phase in leading the impacts in almost all impact categories. Testing different scenarios concludes that there is a reduction of the impact for most of the categories (with up to 67% for the ozone depletion potential, and still around 35% for the global warming potential), while two of the here examined impact categories (i.e. land-use and mineral resource depletion) show an overall potential that is even negative - i.e. the results of all scenarios are higher than the ones of the 2010 baseline scenario. The increase in purchase and use of such appliances may offset energy efficiency benefits in some of the examined categories. Hence, the assessment of sustainability of appliances consumption should always include several scales, from the efficiency of the products (micro scale), to the improvement of the energy mix (meso scale), up to accounting for socio-economic drivers and patterns of consumption affecting the overall appliances stock (macro scale).

Dataset Information

Electrical dataset of household appliances in operation in an apartment.

Publications

Electrical dataset of household appliances in operation in an apartment.

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