| Title | Data issues and promising practices for integrated community energy mapping |
| Download | Downloads |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Webster, J; Canadian Urban Institute; Vive le Monde Mapping |
| Source | Canadian Geospatial Data Infrastructure, Information Product 50e, 2016, 82 pages, https://doi.org/10.4095/299224  Open Access |
| Image |  |
| Year | 2016 |
| Publisher | Natural Resources Canada |
| Document | serial |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is a translation of Enjeux liés aux données
et pratiques prometteuses en matière de cartographie énergétique intégrée pour
les collectivités; Enjeux liés aux données et pratiques prometteuses en matière de cartographie énergétique intégrée pour
les collectivités |
| File format | pdf |
| Subjects | Science and Technology; computer mapping; data collections; geographic information system; Energy efficiency; Energy policy; Renewable energy |
| Illustrations | tables; flow charts; diagrams |
| Program | Buildings and Renewables Group |
| Released | 2016 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 ID | 299224 |
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