An open-source simulation platform to support the formulation of housing stock decarbonisation strategies
An open-source simulation platform to support the formulation of housing stock decarbonisation strategies
复制标题
支持制定住房脱碳策略的开源模拟平台
DOI：
10.1016/j.enbuild.2018.05.015
复制
发表时间：
2018
影响因子：
6.7
通讯作者：
Sousa G
中科院分区：
文献类型：
--
作者：
Sousa G
住房存量能源模型（HSEMs）在英国住房存量脱碳战略研究中发挥着决定性作用。在过去的三十年里，一系列国家HSEMs已经开发和部署，以估计组成英国住房存量的2700万住宅的能源需求。然而，尽管建模策略和校准数据的保真度不断提高，但由于基本算法和校准数据集缺乏模块化和开放性，其寿命、可用性和可靠性受到影响。为了解决这些不足，一个新的开放和模块化的平台，国家（首先是英国）的住房库存的动态模拟已经开发的能源中心（EnHub）。本文介绍了EnHub的架构，其基本原理，它采用的数据集，其目前的范围，其应用程序的例子，并计划其进一步发展。在这方面，我们特别注意系统地识别住房原型及其相应的属性，以代表股票。基于这些原型，我们在EnHub的初始应用中分析的场景重点关注住房结构的改进、灯光和电器的效率以及用户的相关行为实践。在这方面，我们考虑一个完美的摄取方案和一个有条件的（部分）摄取方案。从整个股票的基线情况下，我们的方案的能源使用分解的结果表明，固体墙和阁楼热性能的改善是特别有效的，因为是减少渗透。照明和电器的改进及其使用强度的降低在很大程度上被供暖需求的增加所抵消。提供最大潜在储蓄的住房原型是公寓和独立式住宅，因为它们的表面积与体积比相对较高;特别是在1919年前和两次世界大战之间的时期。
Housing Stock Energy Models (HSEMs) play a determinant role in the study of strategies to decarbonise the UK housing stock. Over the past three decades, a range of national HSEMs have been developed and deployed to estimate the energy demand of the 27 million dwellings that comprise the UK housing stock. However, despite ongoing improvements in the fidelity of both modelling strategies and calibration data, their longevity, usability and reliability have been compromised by a lack of modularity and openness in the underlying algorithms and calibration data sets. To address these shortfalls, a new open and modular platform for the dynamic simulation of national (in the first instance, the UK) housing stocks has been developed—theEnergy Hub (EnHub). This paper describes EnHub’s architecture, its underlying rationale, the datasets it employs, its current scope, examples of its application, and plans for its further development. In this we pay particular attention to the systematic identification of housing archetypes and their corresponding attributes to represent the stock. The scenarios we analyse in our initial applications of EnHub, based on these archetypes, focus on improvements to housing fabric, the efficiency of lights and appliances and of the related behavioural practices of their users. In this we consider a perfect uptake scenario and a conditional (partial) uptake scenario. Results from the disaggregation of energy use throughout the stock for the baseline case and for our scenarios indicate that improvements to solid wall and loft thermal performance are particularly effective, as are reductions in infiltration. Improvements in lights and appliances and reductions in the intensity of their use are largely counteracted by increases in heating demand. Housing archetypes that offer the greatest potential savings are apartments and detached dwellings, owing to their relatively high surface area to volume ratio; in particular for pre-1919 and inter-war epochs.
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影响因子：
2.5
作者：
J. Chapman;P. Siebers;D. Robinson
通讯作者：
J. Chapman;P. Siebers;D. Robinson
建筑群的墙面积、体积和平面深度
DOI：
--
发表时间：
2009
期刊：
影响因子：
--
作者：
P. Steadman;S. Evans;M. Batty
通讯作者：
M. Batty
建筑法
DOI：
--
发表时间：
2015
期刊：
影响因子：
--
作者：
Fred Hall;R. Greeno
通讯作者：
R. Greeno
英国房屋的形状
DOI：
--
发表时间：
1984
期刊：
影响因子：
--
作者：
E. Scoffham
通讯作者：
E. Scoffham
UML 中面向对象设计的基础知识
DOI：
--
发表时间：
1999
期刊：
影响因子：
--
作者：
Meilir Page
通讯作者：
Meilir Page