Effect of COVID-19 on energy consumption and carbon dioxide emissions in Indonesia

Hartono, Djoni; Yusuf, Arief Anshory; Hastuti, Sasmita Hastri; Saputri, Novani Karina; Syaifudin, Noor

doi:10.1016/j.spc.2021.06.003

Cited by 42 publications

(20 citation statements)

References 22 publications

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“…It is predicted that the recovery of the energy consumption of advanced economies will be slow, while a rapid recovery of energy consumption is expected for the emerging economies. A decrease in energy consumption during the pandemic is also documented by Ghiani et al (2020) for Italy; Iqbal et al (2021) for Pakistan; and Hartono et al (2021) for Indonesia.…”

Section: The Novel Coronavirus Energy Demand and Energy Pricesmentioning

confidence: 79%

COVID-19 Vaccinations and the Volatility of Energy Companies in International Markets

Demir

Kizys

Rouatbi

et al. 2021

JRFM

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The COVID-19 pandemic has elevated both the risk and volatility of energy companies. Can mass vaccinations restore stability within this sector? To answer this question, we investigate stock market data from fifty-eight countries from January 2020 to April 2021. We document that vaccination programs assist in decreasing the volatility of energy stocks around the world. The drop in volatility is statistically and economically significant and robust to many considerations. The observed phenomenon survives a broad battery of control variables; it is also independent of the employed regression model or the volatility measurement approach. Moreover, the effect is not driven by the dynamics of the pandemic itself or the associated government interventions. Finally, we find the influence of vaccinations on energy stock volatility to be more pronounced in developed markets rather than in emerging ones. Our findings bear clear practical implications: policy makers around the world should consider the essential role of vaccinations in the energy sector.

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Section: The Novel Coronavirus Energy Demand and Energy Pricesmentioning

confidence: 79%

COVID-19 Vaccinations and the Volatility of Energy Companies in International Markets

Demir

Kizys

Rouatbi

et al. 2021

JRFM

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“…The existing mechanism of this disease is such that it has short-term effects on energy consumption, energy prices, and air pollution, and has broad effects on the renewable energy, climate, and policies sectors. These changes indicate the need for low-carbon technologies, sustainable energy transfer, and greater resource efficiency to prevent reversals of energy consumption and emissions patterns (Hartono et al, 2021).…”

Section: Motivation and Incitementmentioning

confidence: 99%

Multiple Energy Hubs Network Management in Uncertainty Conditions

Kebria

Setak

2022

Preprint

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Energy hubs are complex systems for transferring, converting, and saving various energies in consumption networks. In this paper, a model for energy distribution in three different layers of production, modification, distribution, and final consumption is planned by a network of multiple energy hubs with heterogeneous equipment in residential buildings. Due to the possible failure of equipment in the impact of the life passage and possible customer demand according to seasonal scenarios, backup equipment, and storage equipment have been used to increase reliability to meet customer needs. The purpose of the model is to minimize operational costs, minimize the pollution generated by energy consumption and maximize reliability due to possible failure of energy hub equipment. The proposed model was a mixed-integer linear problem (MILP) which was solved using CPLEX solver in GAMS software. The final solution of the model shows that backup and storage systems reduce costs and increase reliability.

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“…In related yet different studies, Bahmanyar et al [11] and Annette et al [12] investigated the impact of COVID-19 induced electricity changes across major European countries between March-April and March-June 2020, respectively; and both calculated the change in electricity consumption for 2020 with respect to the same time periods in 2019. A few other notable works in a similar context include studies done for Indonesia [13] and Turkey [14] . From a modelling perspective, Norouzi et al [15] developed a hybrid ANN model to predict the national electricity consumption in China as a function of econometrics and COVID-19 induced variables.…”

Section: Introductionmentioning

confidence: 99%

A machine learning framework to quantify and assess the impact of COVID-19 on the power sector: An Indian context

Suvarna¹,

Katragadda²,

Sun³

et al. 2022

Advances in Applied Energy

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As the COVID-19 continues to disrupt the global norms, there is the requirement of modelling frameworks to accurately assess and quantify the impact of the pandemic on the electricity sector and its emissions. In this study, we devise machine learning models to estimate the pandemic induced reduction in electricity consumption based on weather, econometrics, and social-distancing parameters for seven major Indian states. As per our baseline electricity consumption model, we find that the electricity consumption dropped by 15-33% in 2020 (March-May) during the complete lockdown phase, followed by 6-13% (June-August) during the unlock phases and gradually reached the norms by September 2020. As a result, the net CO 2 emissions from power generation in 2020 dropped by 7% and 5% compared to 2018 and 2019 respectively. Amidst the ongoing second wave since mid-April 2021, we projected the electricity consumption across states from May-August by accounting for two scenarios. Under the reference and worst-case scenarios, the electricity consumption approximates 106% and 96% of the non-pandemic situation, respectively. The modelling framework developed in this study is purely data-oriented, cross-deployable across spatio-temporal scales and can serve as a valuable tool to inform current and future energy policies amidst and post COVID-19.

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Effect of COVID-19 on energy consumption and carbon dioxide emissions in Indonesia

Cited by 42 publications

References 22 publications

COVID-19 Vaccinations and the Volatility of Energy Companies in International Markets

COVID-19 Vaccinations and the Volatility of Energy Companies in International Markets

Multiple Energy Hubs Network Management in Uncertainty Conditions

A machine learning framework to quantify and assess the impact of COVID-19 on the power sector: An Indian context

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