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Environmental and economic data on energy efficiency measures for residential buildings.

ABSTRACT: This data article refers to the paper "Environmental and economic implications of energy efficiency in new residential buildings: a multi-criteria selection approach" [1]. The reported data deal with energy efficiency measures for residential buildings. This paper provides environmental and economic data related to envelope, appliances, and system measures. The calculations of the embodied energy associated with different building parts are included in the provided data. Available data relate to investment costs, lifetime, payback, net present value, embodied and operational energy, CO2 emissions, electricity and gas savings derived for each different energy efficiency measure. These data can be used to select the most suitable measures for residential buildings.

SUBMITTER: D'Agostino D

PROVIDER: S-EPMC6926118 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Environmental and economic data on energy efficiency measures for residential buildings.

D'Agostino Delia D Parker Danny D Melià Paco P

Data in brief 20191128

This data article refers to the paper "Environmental and economic implications of energy efficiency in new residential buildings: a multi-criteria selection approach" [1]. The reported data deal with energy efficiency measures for residential buildings. This paper provides environmental and economic data related to envelope, appliances, and system measures. The calculations of the embodied energy associated with different building parts are included in the provided data. Available data relate to ...[more]

PMID: 31890780

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Project description:Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through the adoption of energy efficient techniques and the active engagement of the occupants. Towards the design of such solutions, the identification of the main energy consuming factors, trends, and patterns, along with the appropriate modeling and understanding of the occupants' behavior and the potential for the adoption of environmentally-friendly lifestyle changes have to be realized. In the current article, an innovative energy-aware information technology (IT) ecosystem is presented, aiming to support the design and development of novel personalized energy management and awareness services that can lead to occupants' behavioral change towards actions that can have a positive impact on energy efficiency. Novel information and communication technologies (ICT) are exploited towards this direction, related mainly to the evolution of the Internet of Things (IoT), data modeling, management and fusion, big data analytics, and personalized recommendation mechanisms. The combination of such technologies has resulted in an open and extensible architectural approach able to exploit in a homogeneous, efficient and scalable way the vast amount of energy, environmental, and behavioral data collected in energy efficiency campaigns and lead to the design of energy management and awareness services targeted to the occupants' lifestyles. The overall layered architectural approach is detailed, including design and instantiation aspects based on the selection of set of available technologies and tools. Initial results from the usage of the proposed energy aware IT ecosystem in a pilot site at the University of Murcia are presented along with a set of identified open issues for future research.

Dataset Information

Environmental and economic data on energy efficiency measures for residential buildings.

Publications

Environmental and economic data on energy efficiency measures for residential buildings.

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