Electricity saving in households due to the market liberalization and change in the consumer behaviour

作者
Gatis Bažbauers,Uldis Bariss,Lelde Timma,Dace Lauka,Andra Blumberga,Dagnija Blumberga
出处
期刊:Energetika [Lithuanian Academy of Sciences]
卷期号:61 (3-4) 被引量:6
标识
DOI:10.6001/energetika.v61i3-4.3251
摘要

In case of opening the electricity market, various factors interact with each other. Although research has been done on various factors affecting the liberal electricity market, little attention has been paid to studying the dynamic relations between the actors involved in the liberal electricity market and projections on electricity consumption in households. The main aim of the research is to explore both short- and long-term effects on the electricity consumption at liberal market conditions by modelling various development scenarios. The electricity market in operation in Latvia was used as the case study. For the simulation of electricity market liberalization, system dynamics has been chosen. This method can determine electricity savings in case of electricity market opening, because system dynamics allows conducting simulation of complex systems and analysing the obtained data to forecast probability of the development of several scenarios. Obtained results show that cumulative electricity savings in households could reach 560 GWh by the end of 2020 due to the opening of the electricity market, implementation of energy saving measures and other reasons. In case of scenario analysis using the change of consumption behaviour, it was obtained that the cumulative electricity saving could be almost twice as big if the majority of households were guided by the environmental concerns. Although the system dynamics model was based on the Latvian case study, its general application to other countries and electricity markets is also possible.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
viauue9发布了新的文献求助10
刚刚
刚刚
柚两下子完成签到,获得积分10
刚刚
刚刚
自由八宝粥完成签到,获得积分10
刚刚
Singularity应助阳光岱周采纳,获得10
1秒前
1秒前
Tin完成签到,获得积分10
2秒前
Tracy.完成签到,获得积分10
2秒前
芽芽豆发布了新的文献求助10
2秒前
yff发布了新的文献求助10
3秒前
北方的艳阳完成签到,获得积分10
3秒前
AireenBeryl531应助半觉采纳,获得10
4秒前
LIKO发布了新的文献求助10
4秒前
烟酒生发布了新的文献求助10
5秒前
在水一方应助安德鲁采纳,获得10
5秒前
5秒前
丘比特应助fearless采纳,获得10
5秒前
善良的碧灵完成签到,获得积分10
5秒前
Hyacinth发布了新的文献求助20
5秒前
SciGPT应助Qin采纳,获得10
6秒前
6秒前
mjq完成签到,获得积分10
8秒前
8秒前
周八应助amuchen采纳,获得20
11秒前
weige完成签到,获得积分10
11秒前
东方元语应助健忘代云采纳,获得20
12秒前
12秒前
bkagyin应助Hailhai采纳,获得10
12秒前
13秒前
14秒前
14秒前
15秒前
17秒前
18秒前
Yuan_2458发布了新的文献求助10
18秒前
18秒前
寒冷又晴完成签到 ,获得积分10
18秒前
赘婿应助勤奋的藏今采纳,获得10
19秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7610824
求助须知:如何正确求助?哪些是违规求助? 9186523
关于积分的说明 19679926
捐赠科研通 7184640
什么是DOI,文献DOI怎么找? 3270443
关于科研通互助平台的介绍 2434060
邀请新用户注册赠送积分活动 2265193