Implementing a load duration curve of electricity demand in a general equilibrium model

Wiskich, Anthony

doi:10.1016/j.eneco.2014.07.021

Cited by 11 publications

(7 citation statements)

References 3 publications

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“…The aim of this paper is to contribute to the development of a model for future energy scenarios which reflects the power balancing requirements explicitly while being, at present at least, as simple as possible. The proposed model is based on the concept of the Load Duration Curve (LDC) which has been used for many years as a diagnostic description of a power system [2]. This curve shows clearly not only the typical load and the total energy consumption but also clearly quantifies the maximum peak demands and how frequently they occur.…”

Section: Introductionmentioning

confidence: 99%

The effect of energy storage on the Residual Load Duration Curve (rLDC) of a system with high Renewable Energy contribution

Früh¹

2024

RE&PQJ

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This paper evaluates how energy storage acting in a system with a very high contribution from variable Renewable source can reduce peak loads. The methodology uses observed demand and renewable generation data to construct scenarios of increasing renewable contribution complemented by energy storage. The analysis is based on the concept of creating load duration curves for the period over which a set of storage technologies can act to reduce peak loads by storing energy during low loads. The models used here are developed on the premise that different types of storage are deployed for different purposes. For the scope of this work, three types were used. The first to manage loads within a day, the second acting over a period of a week, and the third at a much longer, seasonal scale.

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Section: Introductionmentioning

confidence: 99%

The effect of energy storage on the Residual Load Duration Curve (rLDC) of a system with high Renewable Energy contribution

Früh¹

2024

RE&PQJ

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“…detailed regional technological data) and models (e.g. Wiskich, 2014) without compromising the matrix balancing described later in Stage 2.…”

Section: Stage 1: Base and Peak Load Splitmentioning

confidence: 99%

“…Alternative models which elucidate the base and peak load split (e.g. Wiskich, 2014) could be implemented in this stage; however, there is a trade-off between model capability, data availability, and solution improvement. Figure 3 shows the global shares of electricity from base and peak load technologies.…”

Section: Stage 1: Base and Peak Load Splitmentioning

confidence: 99%

The GTAP-Power Data Base: Disaggregating the Electricity Sector in the GTAP Data Base

Peters

2016

JGEA

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“…YH " wˆQLS`rˆshi f hkˆQ KS`trans f r hent`t rans f r hgov`t rans f r hrow (32) where shi f hk , trans f r hgov and trans f r hrow are set to be fixed and calibrated by SAM. Let shi f hent be the proportion of transfer payment (fixed value, calibrated by SAM), and then, the transfer payment from enterprises to residents is shown below, given that YENT is enterprise revenue:…”

Section: Resident Accountmentioning

confidence: 99%

“…The application of the CGE model to the electric power sector can be summarized from the following aspects. For the previous studies, some researchers focus on the relationship between electricity supply and economics based on the CGE model [23][24][25][26][27], and many scholars, such as [28][29][30][31][32], assessed the impacts from the electricity demand side. Moreover, the impact of the increase of electricity price is of great significance, and many studies have focused on this problem in China and abroad [33][34][35][36][37].…”

Section: Literature Reviewmentioning

confidence: 99%

Economic Impacts of Power Shortage

Huang

Yao

2016

Sustainability

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Abstract:The electricity industry is a basic industry of the national economy. It has experienced several large-scale power shortages, hard power shortage and soft power shortage, which have brought a great threat to China's sustainable economic development. To solve this problem better, it is necessary to make a quantitative assessment of the economic impacts of power shortage. The CGE model is commonly used for simulating economic shocks and policy effects. It describes supply, demand and equilibrium in different markets by simulating the economic mechanism through a set of equations. Once changed, the exogenous variables will affect a certain part of the system and then the whole system, leading to changes in quantities and prices. The equilibrium state will also change from one to another. A static CGE model is built in this paper, and the Social Accounting Matrix (SAM) of eight sectors of China in 2007 is compiled, in order to simulate the economic impacts of hard power shortage and soft power shortage. Simulation results show that the negative effects of power shortage on economic development are very significant, and the effects vary in different sectors. Especially, under the background of hard power shortage, the industrial sector suffers most. The economic cost of power shortage is considerable, and the main reason for it is the specific administrative pricing system in China. The low electricity price in the long term will lead to insufficient construction and hard power shortage; moreover, that in the short run would result in soft power shortage. In order to solve the problem of power shortage completely, power system reform is inevitable.

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Implementing a load duration curve of electricity demand in a general equilibrium model

Cited by 11 publications

References 3 publications

The effect of energy storage on the Residual Load Duration Curve (rLDC) of a system with high Renewable Energy contribution

The effect of energy storage on the Residual Load Duration Curve (rLDC) of a system with high Renewable Energy contribution

The GTAP-Power Data Base: Disaggregating the Electricity Sector in the GTAP Data Base

Economic Impacts of Power Shortage

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