Subtask A: Collection and Evaluation of Input Data for Energy Master Plan (EMP)

The focus of Subtask A will be on critical nation-specific input data required for the development of an EMP. It will:

  • Establish internationally recognized community-oriented definitions for EMP goals, such as: Efficiency, Security, Independence, Resilience, Reliability
  • Research, summarize, and develop representative building energy benchmarks and energy-related targets: definitions, matrix, and monetary values.
  • Collect and, when necessary develop, catalog and establish a database of representative building models (by building use type, including mixed-use buildings) applicable to national public communities/military garrisons building stocks.
  • Collect and develop energy efficiency incremental and total costs for building, heating, ventilating, and air-conditioning (HVAC), supply, and renewable technologies, etc.The goal of Subtask A is to inform energy master planners with a common set of definitions, metrics, benchmarks, targets, and models to create a common framework for the EMP.

 

Subtask A-1: Common definitions

This subtask will create a set of internationally recognized definitions for common goals of the EMP. It will also summarize or refer to available information on resilience targets for selected mission critical facilities and will address their performance under common stress such as flooding, high wind, earthquake, physical attack, etc.  

 

Subtask A-2: Representative benchmarks and Targets

Energy consumption benchmarks for certain building types can be based on existing national databases of EUIs of Public and Private Industry. There is a strong need for similar data collected from buildings specific to armed forces and academia. Subtask A-2 will collect EUIs from available metering data for buildings, from existing Commercial Buildings Energy Consumption Surveys and from existing standards (American Society of Heating, Refrigerating, and Air-Conditioning Engineers [ASHRAE] Standard 100, German VDI 3807, Switzerland SIA 380.1 etc.). EUIs are a necessary requirement for efficient energy management and for establishing national or agency-specific energy targets.

Currently, most of benchmarks relate to individual building energy targets and not to communities and district-level metrics. As part of Subtask A-2, we will determine a set of metrics that fit the internationally-accepted definitions, and populate these metrics as district-level benchmarks.

 

Subtask A-3: Building energy archetype models

The energy master planning process requires an analysis of different scenarios, which include new construction to different levels of energy efficiency, major renovation of all or some buildings comprising building stock under consideration with Deep Energy Retrofit of these buildings, minor renovations with energy-related scope of work, or demolition of some old buildings. Such analysis requires building energy modeling. Numerous individual building computer-based energy models are currently available for general use buildings and can be further customized to function as archetypes. Several military specific energy models have been developed by the US Army Engineer Research and Development Center (ERDC) to predict energy use in US Army-specific buildings (e.g., barracks, brigade and battalion HQs, dining facilities, technical equipment maintenance facilities, etc.) and adapted to different climate conditions and energy use requirements. To be used for community planning, all prototype models shall be fully parametrized for common modeling inputs and include "baked-in" energy efficiency measures. Tools supporting the EMP can be easily extended to add new prototype models, to modify existing models, or to address nation-specific building types, energy codes, and other requirements.

 

Subtask A-3 deliverables.

To participate in this project, each national team has to collect and/develop building energy models that can adequately represent their national/agency building stock, that include energy systems specific to their representative climate conditions and that have representative operation schedules. The Subtask A team will also develop a common approach to calibration of building models to existing energy use data available from metering and submetering.

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