Energuide Rating System Builder Licence Agreement
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This document is not an OGC Standard. This document is an OGC Public Engineering Report created as a deliverable in an OGC Interoperability Initiative and is not an official position of the OGC membership. It is distributed for review and comment. It is subject to change without notice and may not be referred to as an OGC Standard. Further, any OGC Public Engineering Report should not be referenced as required or mandatory technology in procurements. However, the discussions in this document could very well lead to the definition of an OGC Standard.
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This report details the results of the OGC Building Energy Mapping and Analysis Concept Development Study (BEMA CDS). Sponsored by NRCan and drawing on numerous previous studies, the CDS released a Request for Information on building energy data and applications. The responses were presented and validated in 3 public workshops and form the basis for an Energy SDI notional architecture.
Building energy mapping and analytics are critical for geo-targeting energy policies, programs, codes, incentives, and technology integration to accelerate the transition to a low-carbon built environment and economy.
The CDS drew from a number of information sources, including previous and related building energy work. It then developed and publicly released in February 2020 a Request for Information (RFI) soliciting responses from a wide audience of stakeholders and organizations to specific questions in eight subject categories concerning the building energy mapping and analytics domain.
The RFI responses were compiled and further validated in a series of 3 workshops in June 2020, which summarized the RFI responses, invited more detailed presentations from some of the respondents, presented preliminary results of the CDS, and engaged workshop participants in both validating and extending those results.
This report presents both the activities of the BEMA CDS and its outcomes. These outcomes include challenges that building energy data and applications face, as well as opportunities to address those challenges with improved technologies, data sharing practices, and improved understanding of the benefits that could result, such as identification and reduction of energy poverty.
A critical challenge identified in this study has been the availability of the right spatial information elements to perform building energy analysis at the various levels of generalization and specificity where it can be useful in improving lives and advancing community goals. The idea of supporting the reusability and wide sharing of spatial data by providing information as infrastructure has been around for a while and is particularly highly developed in Canada. More recently, the concept, capabilities, and design of such infrastructure have been expanding in the age of cloud computing. It makes sense in this context to consider what spatial data infrastructure might look like that can support the diverse building energy needs, opportunities, stakeholders, and goals identified in this report. A notional architecture is presented in the report for such a future Energy Spatial Data Infrastructure (E-SDI).
While there are many studies of practices relating to building energy, this study as a product of the Open Geospatial Consortium, represents a particularly valuable perspective by focusing on issues of data sharing and spatial data interoperability that stand in the way of more fully achieving the goals and value of building energy analysis. This perspective provides benefits to a number of stakeholders and programs.
Prototypes for an Energy SDI, demonstrating common availability of such technologies as cloud-based energy modeling, model-driven building archetypes, and enclave protocols for addressing data privacy and propriety constraints.
Attention is drawn to the possibility that some of the elements of this document may be the subject of patent rights. The Open Geospatial Consortium shall not be held responsible for identifying any or all such patent rights.
Recipients of this document are requested to submit, with their comments, notification of any relevant patent claims or other intellectual property rights of which they may be aware that might be infringed by any implementation of the standard set forth in this document, and to provide supporting documentation.
Energy conservation and demand management consists of measures for conserving or otherwise reducing the amount of energy consumed and for managing consumer demand for energy, including a forecast of the expected results of current and proposed measures. (cf.f. O. Reg. 397/11, s. 4 (2).).
The Tract and Neighbourhood Data Modelling (TaNDM) project was led by the province of BC and sponsored by NRCan in 2010-12 to improve the structure and level of geography of energy and emissions inventory data. It developed a new bottom-up method for aggregating buildings energy and emissions data by building type to a privacy-compliance threshold.
The project will scope the current state of development of energy mapping and analytics in the building stock as a whole for both end-use and renewables as they apply directly to buildings; the focus for the development of the architecture will focus on the residential housing stock specifically.
The CEE Map project builds upon and advances past NRCan-CE-O research on energy mapping and building-archetype applications. Experience gained, partnerships developed, and IP generated in other projects (eg. Integrated Community Energy Mapping (ICEM), which includes the Spatial Community Energy, Carbon and. Cost Characterization Model (SCEC3) model and Tract and Neighbourhood Data Modelling (TaNDM) methodology) can inform both the CEE Map project and OGC CDS.
Additionally, NRCan-CE-O is developing housing and building reference archetypes using the Housing and Building Technology Assessment Platforms (HTAP and BTAP). These platforms generate housing and building modelled energy data, for new and vintage archetypes, for all weather regions across Canada for baseline and future scenarios. Work is at present being done with HTAP and BTAP to support the National Building Code of Canada. HTAP and BTAP archetypes and associated datasets will be deployed over the next few years. They are also being leveraged for research purposes in the CEE Map Project. In future, work to combine results from HTAP and BTAP into mapping platforms may also inform the development of alteration / retrofit codes applying to the existing building stock.
Other projects presently underway at NRCan-CE-O include the Low Carbon Community Energy Systems (LCCES) project, which is receptor-driven and focused on R&D for existing communities to support stakeholder needs. It consists of three components: 1. Advanced Technology Development 2. Stakeholder engagement 3. LCCES process development. Ultimately the LCCES project and low carbon community energy technology deployment will benefit from a baseline understanding of building energy use and efficiency opportunities to facilitate strategic technology integration.
NRCan-CE-O is also undertaking renewables resource assessment mapping in the areas of wind, solar, the arctic and hydrokinetic. NRCan CanmetENERGY-Varennes (NRCan-CE-V) is undertaking mapping research to characterize the potential for Building Integrated Photovoltaics (BIPV) and Building Integrated Photovoltaics and Thermal (BIPV-T).
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