需求启动数据套件:肯尼亚所有47个县的精选社会经济和技术能源系统需求建模数据
Neve Fields1, Ariane Millot2, Martin Mutembei3
1STEER Centre, Department of Geography and Environment, Loughborough University, Loughborough, United Kingdom.
Data in brief
|May 8, 2025
概括
这项研究为肯尼亚县提供了关键的能源需求数据,以支持清洁能源规划. 它提供了一个基本的数据集,用于制定县级能源模型和预测,帮助决策决策.
科学领域:
- 能源系统分析 能源系统分析
- 可持续能源政策 可持续能源政策
- 应用经济学应用经济学
背景情况:
- 肯尼亚能源部门的转型需要基于数据的模型来进行有效的规划和决策.
- 县级能源规划和获取相关数据和工具的机会,尽管有权力转移,但仍然有限.
- 能源需求是能源规划的基础,但数据的可访问性是一个重要的障碍.
研究的目的:
- 提供一个基础数据集,用于在肯尼亚县级创建整个能源系统需求模型.
- 支持能力建设,进一步收集数据,并为特定县的能源需求预测开发模型.
- 通过对基利菲县的需求模型进行校准来证明这些数据的应用.
主要方法:
- 从各种来源收集数据,包括国际和国家组织,学术文章和现有数据库.
- 开发一个简单的整个能源系统需求模型框架,适用于肯尼亚各个县.
- 用基利菲县基线情景 (2019-2070) 收集的数据对能源需求分析模型 (MAED) 的校准.
主要成果:
- 已编制了一套适用于建设县级能源需求模型的综合数据集.
- 该研究证明了使用MAED模型创建特定县的能源需求预测的可行性.
- 基利菲县的校准模型提供了从2019年到2070年的基线能源需求预测.
结论:
- 提供的数据集是加强肯尼亚县级能源规划和政策制定的关键起点.
- 可访问的数据和用户友好的模型对于赋予地方当局在能源系统转型中的权力至关重要.
- 建议进行进一步的研究和数据更新,以改进预测并支持基于证据的能源政策.
更多相关视频
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
13.2K
09:44Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
Published on: October 16, 2018
10.1K
相关概念视频
Energy Diagrams - I
4.9K
The dynamics of a mechanical system can be easily understood by interpreting a potential energy diagram. Since energy is a scalar quantity, the interpretation of the dynamics of the system becomes even simpler.
Take the example of a skater on a parabolic ramp. The potential energy at different points along the ramp will be proportional to the height of the ramp, which varies quadratically with the horizontal position on the ramp. As the skater moves down the ramp from the highest position,...
Take the example of a skater on a parabolic ramp. The potential energy at different points along the ramp will be proportional to the height of the ramp, which varies quadratically with the horizontal position on the ramp. As the skater moves down the ramp from the highest position,...
4.9K
Energy Diagrams - II
4.6K
Energy diagrams are important to understand the dynamics of a system. The topology of an energy diagram helps illustrate the equilibrium points of the system.
The point in the energy diagram at which the system’s potential energy is the lowest is known as the local minima. The system tends to stay in this position indefinitely unless acted upon by a net force. The slope of the potential energy diagram at the local minima is zero, indicating that zero net force is acting on the system. The...
The point in the energy diagram at which the system’s potential energy is the lowest is known as the local minima. The system tends to stay in this position indefinitely unless acted upon by a net force. The slope of the potential energy diagram at the local minima is zero, indicating that zero net force is acting on the system. The...
4.6K
Energy Budgets
9.1K
Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
9.1K
Econometric Views (EViews)
90
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
90
Statistical Methods for Analyzing Epidemiological Data
239
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
239
Distributions to Estimate Population Parameter
4.0K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.0K
