The impact of climate change on electricity demand in Australia

Abstract

This study estimates the short- and long-term impacts of climate change on electricity demand in Australia. We used an autoregressive distributed lag (ARDL) model with monthly data from 1999 to 2014 for six Australian states and one territory. The results reveal significant variations in electricity demand. We then used long-term coefficients for climatic response to simulate future electricity demand using four scenarios based on the representative concentration pathways (RCPs) of the Intergovernmental Panel on Climate Change (IPCC). Our results show a gradual increase in electricity consumption due to warmer temperatures with the possibility of peak demand in winter; however, demand tends to decrease in the middle of the twenty-first century across the RCPs, while the summer peak load increases by the end of the century. Finally, we simulated the impact of policy uncertainty through sensitivity analysis and confirmed the potential benefits of climate change adaptation and mitigation.

Developing operation of combined cooling, heat, and power system based on energy hub in a micro-energy grid: The application of energy storages

“…[3][4][5]8,9,11,22,28,29,32,33 • The lack of the modeling of energy system with the help of MILP method to accomplish an optimum answer with global optimum type as in literature. 2,3,5,[7][8][9][10][11][12][14][15][16][17][18][19][20][21][22][24][25][26][27][28][29][30][31][32][33]35,37 A look at the shortcomings and gaps in past studies (as reviewed above) and the analysis of the results prove the significance of the present research. The study seeks to evaluate the impact of adding (applying) ESs to an MEG in the presence of renewable resources.…”

“…Cooling energy balance in the cooling hub is obtained from 19) in which the right-hand side denotes the cooling allocation and the left-hand side represents the input cooling of the cooling hub.…”

“…The micro-grid architecture and components, various control techniques, and protection design for micro-grid systems are also discussed in detail. 18 Emodi et al 19 argue that at the demand side, consumers may incline to consume electricity more when prices are lower and temperatures are higher in summer and this poses a huge potential to reduce peak loads in summer. Vatankhah Barenji et al 20 discuss an off-grid hybrid energy generation system to minimize the cost of energy generation.…”

“…10,14,15,19,21,26,28,29 • The lack of the application of an MEG modeling approach with the help of the energy hub model as in literature. 1,3,4,7,9,13,16,[18][19][20]22,[24][25][26][28][29][30][31][32][33][34][35][36][37][38][39]47 • The lack of the application of renewable resources for optimum operation of the CCHP micro-grid as in literature. [3][4][5]8,9,11,22,28,29,32,33 • The lack of the modeling of energy system with the help of MILP method to accomplish an optimum answer with global optimum type as in literature.…”

Impacts of Climate Change on Monthly Electricity Consumption: A Case of Tianjin, China

“…The electricity supply chain is very sensitive to climate variability [1]. Rising temperatures associated with global warming are likely to lead to an increase in electricity consumption during periods when air conditioning is required [2].…”