Optimizing Building Energy Systems and Controls for Energy and Environment Policy
Optimizing Building Energy Systems and Controls for Energy and Environment Policy
复制标题
优化建筑能源系统和能源与环境政策控制
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
C. Spataru
中科院分区：
文献类型：
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作者：
M. Barrett;C. Spataru
这是对能源系统优化的一些方面的非正式介绍，为住宅中的人们提供可持续的服务。本文提出了数据，方法和结果优化建筑能源系统和控制的能源和环境政策使用定量技术。优化可以帮助系统设计以低成本高效地满足政策目标。应用了三种优化方法：遗传算法（GA）、粒子群优化（PSO）和最陡梯度优化（SD）。结果表明，能源价格越高，住宅围护结构和供暖系统的效率越高，以达到最低成本。最终，应该对所有系统和库存进行优化，同时对配置、大小和控制进行优化。
This is an informal introduction to some aspects of energy system optimisation to provide sustainable services to people in dwellings. This paper advances data, methods and results of optimising building energy systems and controls for energy and environment policy using quantitative techniques. Optimisation can aid the design of systems to meet policy objectives efficiently and at low cost. Three optimisation methods were applied: genetic algorithm (GA), particle swarm optimisation (PSO) and steepest decent (SD). It was concluded that the higher the energy price, the greater the efficiency of the dwelling envelope and heating system to achieve least cost. Ultimately, optimisation should be done across all systems and stock, and simultaneously for configuration, size and controls.