Development of expected performance standards for SolarSatData for BuildingsTM and calculation of resulting energy and C02 emission reductions
Development of expected performance standards for SolarSatData for BuildingsTM and calculation of resulting energy and C02 emission reductions
批准号:
452615-2013
负责人:
OBrien, William
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31
中文摘要
建筑物对环境有重大影响,特别是在大量能源使用方面。模型预测控制(MPC)是一种很有前途的解决方案,可以显著节省这些影响,包括减少二次能源使用,温室气体排放和能源基础设施。MPC使用天气预报和建立仿真模型,根据预测的能源性能优化未来的控制序列。然而,它的成功取决于高质量,准确的天气预报,以便可以实施适当的在线控制设定点,以最大限度地减少能源成本,同时保持乘员舒适度。
英文摘要
Buildings represent a significant environmental impact - particularly with regards to their substantial energy use. Model predictive control (MPC) is a promising solution to achieving significant savings to these impacts, including reduced secondary energy use, greenhouse gas emissions, and energy infrastructure. MPC uses weather forecasts and building simulation models to optimize future control sequences based on predicted energy performance. However, its success is dependent on high-quality, accurate weather forecasts so that proper on-line control setpoints can be implemented to minimize energy costs while maintaining occupant comfort.
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会议论文
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海外基金