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STRATEGIES FOR OPTIMALLY MANAGING BUILDING PEAK DEMAND UNDER CLIMATE-ALTERED SCENARIOS

机译:在气候变化场景下优化管理高峰需求的策略

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Building peak energy demand is already causing strain on local and regional electrical grids. In addition, energy costs in commercial buildings are often heavily influenced by peak demand via utility ratchet clauses. Briller presented energy simulation data that indicated peak demand could be significantly exacerbated by potential changes in weather associated with climate change. For six different building types in six U.S. and Canadian cities, the simulated summer peak demand increased under every weather scenario (up to 31% by 2050 and 47% by 2080). This paper evaluates strategies and technologies for optimally managing future peak demand in commercial buildings under climate-altered scenarios. The CCWorldWeatherGen~®, eQUEST™, and EnergyPlus~® modeling programs are utilized to evaluate different peak load management strategies, including: (1) building precooling; (2) ice storage; (3) on-site distributed energy (solar photovoltaics, microturbines); (4) building envelope modifications (daylighting, insulation, cool roofs); (5) highly efficient lighting and HVAC systems; (6) plug load reductions; and (7) automated demand response. Key parameters analyzed include feasible percentage of peak demand reduction, utility cost savings, total energy consumption, and greenhouse gas emissions. The paper also includes discussion and analysis of real-world facilities that have employed one or more of these strategies. Information from these case histories is used to: (1) demonstrate whether the model-predicted load reductions and other savings are consistent with past experience; and (2) summarize other important selection consideration such as space requirements, capital costs, maintenance requirements, and Leadership in Energy and Environmental Design (LEED)~® credit availability.
机译:建筑用能的峰值需求已经在当地和区域的电网上造成压力。此外,通过公用事业棘轮条款,高峰期需求通常会严重影响商业建筑中的能源成本。布雷勒提供的能源模拟数据表明,与气候变化相关的天气潜在变化可能会大大加剧高峰需求。对于美国和加拿大六个城市的六种不同建筑类型,模拟的夏季高峰需求在每种天气情况下均会增加(到2050年将达到31%,到2080年将达到47%)。本文评估了在气候变化的情况下,以最佳方式管理商业建筑中未来高峰需求的策略和技术。 CCWorldWeatherGen〜®,eQUEST™和EnergyPlus〜®建模程序用于评估不同的峰值负荷管理策略,包括:(1)建筑预冷; (2)储冰; (3)现场分布式能源(太阳能光伏,微型涡轮机); (4)建筑围护结构的修改(采光,隔热,凉爽的屋顶); (5)高效照明和HVAC系统; (6)减少插头负荷; (7)自动需求响应。分析的关键参数包括降低峰值需求的可行百分比,节省的公用事业成本,总能耗和温室气体排放量。本文还包括对采用了这些策略中的一种或多种的现实世界中设施的讨论和分析。这些案例历史记录中的信息用于:(1)证明模型预测的负载减少和其他节省是否与过去的经验一致; (2)总结其他重要的选择考虑因素,例如空间要求,资金成本,维护要求以及能源和环境设计的领导地位(LEED)〜®信贷可用性。

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