About: Occupant-based energy upgrades selection for Canadian residential buildings based on field energy data and calibrated simulations

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Occupant-based energy upgrades selection for Canadian residential buildings based on field energy data and calibrated simulations Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Occupant-based energy upgrades selection for Canadian residential buildings based on field energy data and calibrated simulations
Creator	Alam, M Hewage, Kasun Karunathilake, Hirushie Perera, Piyaruwan Rana, Anber Ruparathna, Rajeev Sadiq, Rehan Shahria Alam, M
source	Elsevier; Medline; PMC
abstract	Occupant behavior in residential buildings has a direct impact on the effectiveness of energy-saving measures. In order to realize a buildings’ carbon mitigation targets, the impact of individual occupancy profiles needs to be integrated with building simulation models. This paper introduces a decision support framework as a potential solution to make energy performance upgrade choices based on different occupancy profiles. This framework has been demonstrated through a case study of two single-family detached homes in Canada, which were highly instrumented with sensors for monitoring energy input and output. The case studies represented two common occupancy profiles-(1) a family of four (consisting of 2 working adults and 2 teenagers); and (2) a retired couple. Firstly, calibrated energy models were developed by using one-year energy use data collected through an intrusive load monitoring technique. Secondly, energy upgrade combinations were considered for each profile and tested for additional investment, payback period and greenhouse gas (GHG) emissions. Lastly, the most suitable combination of energy upgrade for each profile was ranked using a multi-criteria decision-making method (e.g., TOPSIS). Results indicated that the retired couple used more energy than the family of four and required energy upgrades with usually higher payback periods to achieve the same level of GHG emission reduction. The results of this research are timely for energy policymaking and developing best management practices, which need to be implemented along with the deployment of more stringent building standards and codes.
has issue date	2020-06-16(xsd:dateTime)
bibo:doi	10.1016/j.jclepro.2020.122430
bibo:pmid	32834562
has license	no-cc
sha1sum (hex)	b4f2666933cc2859f6403daf051e731c94e9d1aa
schema:url	https://doi.org/10.1016/j.jclepro.2020.122430
resource representing a document's title	Occupant-based energy upgrades selection for Canadian residential buildings based on field energy data and calibrated simulations
has PubMed Central identifier	PMC7295710
has PubMed identifier	32834562
schema:publication	J Clean Prod
resource representing a document's body	covid:b4f2666933cc2859f6403daf051e731c94e9d1aa#body_text
is schema:about of	named entity 'Canadian' named entity 'informed decisions' named entity 'EPU' named entity 'energy consumption' named entity 'decision matrix' named entity 'electricity generation' named entity 'significant difference' named entity 'MBE' named entity 'literature review' named entity 'emission reduction' named entity 'energy audit' named entity 'life span' named entity 'Canada' named entity 'energy savings' named entity 'energy consumption' named entity 'inflation rate' named entity 'calibration' named entity 'mid-size' named entity 'energy conservation' named entity 'HVAC' named entity 'reduction targets' named entity 'peer-reviewed' named entity 'utility companies' named entity 'GHG emissions' named entity 'energy conservation' named entity 'energy demand' named entity 'energy savings' named entity 'Data analysis' named entity 'Okanagan Valley' named entity 'GHG' named entity 'ideal solution' named entity 'energy auditing' named entity 'case study' named entity 'energy saving' named entity 'GHG' named entity 'HVAC' named entity 'heat source' named entity 'GHG' named entity 'home insurance' named entity 'calibration' named entity 'NPV' named entity 'GHG' named entity 'case study' named entity 'low-income' named entity 'MBE' named entity 'payback period' named entity 'building envelope' named entity 'carbon footprint' named entity 'Okanagan' named entity 'GHG' named entity 'questionnaire' named entity 'Data Collection' named entity 'Dubai' named entity 'renewable energy' named entity 'EPSs' named entity 'payback period' named entity 'accounting' named entity 'low-income' named entity 'utility bills' named entity 'photovoltaics' named entity 'fossil fuels' named entity 'construction practices' named entity 'GHG' named entity 'single-family detached house' named entity 'data collected' named entity 'decision matrix' named entity 'GHG' named entity 'payback period' named entity 'construction materials' named entity 'RMSE' named entity 'operational costs' named entity 'reduction targets' named entity 'RMSE' named entity 'simulation time'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software