2020
DOI: 10.1016/j.renene.2020.01.129
|View full text |Cite
|
Sign up to set email alerts
|

A stochastic framework to evaluate the impact of agricultural load flexibility on the sizing of renewable energy systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
7
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 18 publications
(7 citation statements)
references
References 38 publications
0
7
0
Order By: Relevance
“…LF refers to the resources used to ensure the stable operation of the power system by facilitating dynamic changes, including increments and decrements, in demand. This includes implementing demand-side management (DSM), which changes power use patterns according to the time-series energy production characteristics of wind turbines or solar power sources to increase the application rate of renewable energy 4 , 5 .…”
Section: Background and Summarymentioning
confidence: 99%
“…LF refers to the resources used to ensure the stable operation of the power system by facilitating dynamic changes, including increments and decrements, in demand. This includes implementing demand-side management (DSM), which changes power use patterns according to the time-series energy production characteristics of wind turbines or solar power sources to increase the application rate of renewable energy 4 , 5 .…”
Section: Background and Summarymentioning
confidence: 99%
“…Foreign scholars actively conducted projects that combine crop production and wind power generation [ 36 , 37 ]. Due to the limitations of wind power in agriculture [ 25 ], some studies tried to combine it with other renewable energy sources to meet demand [ 38 , 39 ]. The research status of wind power for agriculture in China is introduced as follows.…”
Section: Research Status At Home and Abroadmentioning
confidence: 99%
“…From the perspective of the economy, an analysis of the energy costs of the four agricultural subsections in China revealed that planting and forestry have a positive impact on peasants’ income, while animal husbandry and fishery have a negative impact on peasants’ income [ 24 ]. By analyzing agricultural energy costs worldwide, irrigation water and fertilizer input account for a large proportion of the total agricultural energy costs in various countries [ 25 ]. Some scholars have recently established models to predict energy costs of agricultural machinery [ 26 ], but the cost predicting other agricultural activities must be improved.…”
Section: Introductionmentioning
confidence: 99%
“…In the second group, there are studies (Strielkowski et al [25], Da Cunha et al [26], Kocaman et al [27]) to determine the advantages of solar panels in terms of energy. In the last group, there are studies (Koç et al [28], Wang et al [29]) on the site selection for the most energy efficiency from solar panels.…”
Section: Approach To the Build Of Solar Panelsmentioning
confidence: 99%