Seeking for a climate change mitigation and adaptation nexus: Analysis of a long-term power system expansion

Handayani, Kamia; Filatova, Tatiana; Krozer, Yoram; Anugrah, Pinto

doi:10.1016/j.apenergy.2019.114485

Cited by 53 publications

(25 citation statements)

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“…Before the emergence of microgrids, the traditional expansion of power systems has led to negative impacts in some fields [8]. In terms of the environment, the greenhouse gas emissions produced from burning fossil fuels are linked to climate change, whilst large investments in electrical network assets expansion have required significant financial investment.…”

Section: Introductionmentioning

confidence: 99%

Demand response integration in microgrid planning as a strategy for energy transition in power systems

Mina-Casaran

Echeverry

Lozano

2021

IET Renewable Power Gen

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For a long time, the planning of power systems has considered technical and economic aspects related to Supply Side Management. Given that this traditional planning approach is not very flexible, and due to new technological trends like the adoption of smart grids, it has become necessary for demand to play an active role in the operation of power systems. This raises the need to implement a new process for power system planning, focusing on technologies such as microgrids with Demand Side Management, which contribute to the sustainable development of communities. In this paper, a comprehensive review of microgrid planning, considering energy end‐user participation through Demand Response, is carried out. In addition, the main features and implications of Demand Response programs in microgrid planning are presented. As a contribution, in order to trigger a paradigm shift on how power systems are planned, the benefits of bottom‐up microgrid planning are presented.

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Section: Introductionmentioning

confidence: 99%

Demand response integration in microgrid planning as a strategy for energy transition in power systems

Mina-Casaran

Echeverry

Lozano

2021

IET Renewable Power Gen

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“…11 Therefore, predicting the future climate and its impact on the number of water resources and hydropower generation will have a significant impact on the management of hydropower reservoirs, electricity, flow, and control of the relationship between production and energy demand. 12,13 One of the methods of climate forecasting is the use of climate models that are widely used by researchers. 14,15 One of the most generally utilized climatic tools employed by researchers is the General Circulation Model (GCM).…”

Section: Introductionmentioning

confidence: 99%

Forecasting hydropower generation byGFDL‐CM3climate model and hybrid hydrological‐Elman neural network model based on Improved Sparrow Search Algorithm (ISSA)

Wang

Gholinia

2021

Concurrency and Computation

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One of the most sensitive factors affecting hydropower generation is climate change.The objective of this study is to forecast the hydropower generation under the influence of climate change for the next 50 years. For this purpose, the GFDL-CM3 model is used under three scenarios: RCP2.6, RCP4.5, and RCP8.5 to predict precipitation and temperature. Any change in the inlet flow to the turbine will cause changes in the hydropower output. Therefore, the more accurately the flow is estimated, the hydropower generation is forecasted more accurately. In this research, a hydrological-neural network hybrid model for flow prediction is presented in which the Improved Sparrow Search Algorithm (ISSA) has been used. The results forecasting climate parameters showed that the average annual rainfall, runoff, and evaporation have a downward trend compared to the control period. The minimum and maximum annual temperatures have an increasing trend compared to the control period. To evaluate the hydropower generation Aras dam, the HEC-Ressim reservoir model is utilized. By comparing the average annual hydropower with the control period, it is known that the power generation will decrease in future years. The average annual electricity generated by hydropower under the scenario RCP2.6 and RCP4.5 and RCP8.

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“…To stall the temperature increase below the threshold of 2 o C a limit has been set on the amount of CO2 to be emitted by 2100, referred as a "global carbon budget" [4], which is 1170 Gt CO2; for a 1.5 o C limit the budget is only 420 Gt. The IPCC has identified certain measures, essential to enable us to stay within the available carbon budget, which include among others, increases in energy efficiency, employment of renewable energy sources in the power sector, carbon capture and storage technologies, and reduced dependency on fossil fuels [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Unconstrained Extraction of Fossil Fuels and Implication for Carbon Budgets under Climate Change Scenarios

Karvounis¹,

Blunt²

2021

JFFHMT

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Hubbert's curve was first introduced to project future oil reserves and production in the US. In this paper, Hubbert's logistic function was used to estimate future production of fossil fuels in different regions of the world. The aim is to adequately fit historical data with minimum error, calculate the projected CO2 emissions that emerge from the unconstrained extraction of coal, oil and natural gas, and hence to determine the consumption of the available carbon budget. For some of the world regions considered, Hubbert's logistic function fits the data well, while others fail to fall under the bell-shaped curve due to factors not considered in the analysis, such as political decisions to restrict production. An overshoot of the carbon budget to limit global warming to 1.5 o C is expected by 2050 in the case of unconstrained production of all fuels, with major contributors being Asia & Pacific regions for coal, the Middle East for oil, and North America for natural gas. In the case of a 2 o C global warming scenario, the same major contributors again consume the available budget by 2040 except for natural gas production that stays below the threshold. This analysis emphasizes the importance of capturing and storing carbon dioxide emissions, and/or artificial limits on fossil fuel production to prevent dangerous climate change.

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Seeking for a climate change mitigation and adaptation nexus: Analysis of a long-term power system expansion

Cited by 53 publications

References 50 publications

Demand response integration in microgrid planning as a strategy for energy transition in power systems

Demand response integration in microgrid planning as a strategy for energy transition in power systems

Forecasting hydropower generation byGFDL‐CM3climate model and hybrid hydrological‐Elman neural network model based on Improved Sparrow Search Algorithm (ISSA)

Unconstrained Extraction of Fossil Fuels and Implication for Carbon Budgets under Climate Change Scenarios

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