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TitleData issues and promising practices for integrated community energy mapping
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AuthorWebster, J; Canadian Urban Institute; Vive le Monde Mapping
SourceCanadian Geospatial Data Infrastructure, Information Product 50e, 2016, 82 pages, https://doi.org/10.4095/299224 (Open Access)
Year2016
PublisherNatural Resources Canada
Documentserial
Lang.English
Mediaon-line; digital
RelatedThis publication is a translation of Webster, J; Webster, J; Canadian Urban Institute; Vive le Monde Mapping; (2016). Enjeux liés aux données et pratiques prometteuses en matière de cartographie énergétique intégrée pour les collectivités, Canadian Geospatial Data Infrastructure, Information Product no. 50f
File formatpdf
SubjectsScience and Technology; computer mapping; data collections; geographic information system; energy efficiency; energy policy; renewable energy
Illustrationstables; flow charts; diagrams
ProgramCommunities, Buildings and Renewables Group
Released2016 10 20
Abstract(Summary)
Municipalities, utilities, and the public can use energy mapping to make informed decisions on energy end use and renewable supply options in the built environment. Integrated community energy mapping (ICEM) is an emerging mapping and modelling approach that leverages existing and new datasets and available building and technology energy modelling software in combination with geographic information systems (GIS) to provide scalable spatial decision support to energy and emissions planning, policy, and program development, and their implementation and verification. Applications include energy and emissions inventories for municipalities, and utility conservation demand management and demand-side management program planning, implementation, and identification of smart energy network opportunities. ICEM is a key component of a consistent methodology for characterizing energy and emissions in communities. Outcomes include achieving energy conservation and greenhouse gas reduction targets, offsetting energy infrastructure renewal costs, and realizing energy cost savings for residents, businesses, and organizations.
Summary(Plain Language Summary, not published)
This paper aims to identify and describe data issues encountered in Integrated Community Energy Mapping research so they may be resolved systematically by organizations working collaboratively to advance community energy planning and utility conservation and infrastructure planning.--Data issues and promising practices are described through two case studies: the Integrated Energy Mapping for Ontario Communities (IEMOC) project and the Spatial Community Energy Carbon and Cost Characterization (SCEC3) model for Prince George, BC. A third case study, the Tract and Neighbourhood Data Modelling (TaNDM) project, offer new methods considered promising practices for data integration and aggregation.--For each dataset and data integration activity, issues and promising practices are described, grouped into themes of collaboration, access, structure, level of geography, and consistency. The protection of personal and commercially sensitive information is not seen as an issue but rather a prerequisite to be addressed. The Canadian Geospatial Data Infrastructure provides best practice guidance.
GEOSCAN ID299224