英文摘要 |
In Taiwan, industrial electricity consumption in summer time outweighsthe seasonal average by around 5%~24%. Over the past few years,percent operating reserve in hot summer days several times approached thecritical threshold of 6% for power rationing. Owing to climate change,extreme high temperatures are projected very likely to occur frequentlyduring summer time in Taiwan. Yet, expansion in the installed capacity ofpower generation is fiercely stalled domestically due to environmental andpolitical concerns. It is foreseeable that rationing will be necessary in orderto tackle the problem of excess demand for electricity in the summer time.We built a linear programming input-output analysis (LPIO) model toinvestigate the optimal strategy for electricity rationing across sectors underthe circumstances of excess demand for electricity in the summer time dueto high temperatures. Our LPIO model finds the optimal sectoral allocationof the scant electricity supply according to the value-added per unit of powerembodied in the commodity consumption (VAEE). The novelty of thisresearch is that our LPIO model is calibrated to a summer-based inputoutputtable (IOT) of Taiwan, so as to reflect the seasonal heterogeneity insectoral power requirement. As compared with a conventionally annual-IOT calibrated LPIO, the results from our summer-LPIO model indicate that itwould require more sectors (both producing and consuming sectors) to cut their power demand so as to protect the power system from outage whilesecuring economic growth. Given the current attainable VAEE, sectors ofthe agri-food supply chain (AFSC), which tend to consume less electricityper unit of output as compared with industrial and services sectors, will alsoneed to cut production so as to make way for the economy to attain as highas possible GDP growth in the hard times of electricity insufficiency.Improvement in the efficiency of electricity use will be helpful for the AFSCsectors to be secured against electricity rationing. |