相关实验视频
Updated: Jul 5, 2025

13:48
Design and Construction of an Urban Runoff Research Facility
Published on: August 8, 2014
13.1K
智能热量和水表数据数据集,并附带建筑特征
Markus Schaffer1, Martin Veit1, Anna Marszal-Pomianowska1
1Department of the Built Environment, Aalborg University, Aalborg, Denmark.
Data in brief
|January 18, 2024
概括
这项研究分析了丹麦45,000多户家庭的智能电表数据,将能源和水消耗与建筑特征联系起来. 这些发现为建筑环境和公用事业部门提供了有价值的见解.
科学领域:
- 环境科学环境科学
- 建筑科学 建筑科学
- 能源系统 能源系统
背景情况:
- 智能电表提供有关能源和水消耗的细节数据.
- 建筑特征影响资源使用.
- 丹麦阿尔堡市的智能电表安装密度很高.
研究的目的:
- 编制和呈现一个全面的数据集的智能热量和水表数据.
- 为了将建筑特征与能源和水消耗模式相关联.
- 为建筑环境,区域供暖和水资源领域的研究提供一个有价值的资源.
主要方法:
- 从34,884台智能热表和10,765台智能水表 (2018-2022) 收集数据.
- 从丹麦建筑和住房登记册 (BBR) 和能源性能证明 (EPC) 获得的建筑特征.
- 处理智能电表数据,以确保每小时的数据均等,没有错误或缺失值;使用规则集过EPC数据.
主要成果:
- 创建了一个广泛的数据集,将每小时消耗数据与多达86个建筑特征联系起来.
- 该数据集涵盖了丹麦阿尔堡市 (Aalborg Municipality) 的单户住宅.
- 通过严格的处理和过来提高数据质量.
结论:
- 编制的数据集是研究建筑环境,区域供暖和水资源管理的研究人员的重要资源.
- 了解建筑特征与公用事业消耗之间的关系对于优化资源使用至关重要.
- 这一数据集促进了相关科学领域的先进分析和建模.
更多相关视频
相关概念视频
Design Example: Designing a Residential Plumbing System
687
The design of residential plumbing systems requires carefully evaluating water demand, flow rates, and pressure dynamics to ensure both efficiency and reliability. The nature of water flow within pipes is defined by its Reynolds number, which classifies flow as either laminar (smooth) or turbulent.
687
Review and Preview
9.0K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
9.0K
Time-Series Graph
4.4K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.4K
Thermal Expansion
4.4K
The expansion of alcohol in a thermometer is one of many commonly encountered examples of thermal expansion, which is the change in size or volume of a given system as its temperature changes. The most visible example is the expansion of hot air. When air is heated, it expands and becomes less dense than the surrounding air, which then exerts an upward force on the hot air to, for example, make steam and smoke rise, and hot air balloons float. The same behavior happens in all liquids and gases,...
4.4K
Selected Data About Geographic Locations
27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27
Specific Heat
62.2K
The specific heat capacity of a substance refers to the energy required to increase the temperature of one gram of that substance by one degree Celcius. Specific heat capacity is often represented in calories (cal), grams (g), and degrees Celsius (oC), but can also be expressed in joules (J), kilograms (kg), and Kelvin (K), among other units.
For example, increasing the temperature of one gram of water by 1°C requires one calorie of heat energy and can be written as 1 cal/g-°C, or...
For example, increasing the temperature of one gram of water by 1°C requires one calorie of heat energy and can be written as 1 cal/g-°C, or...
62.2K

