Naphtha is an important raw material for manufacture of clean fuels and ethylene products. However, China is experiencing a serious imbalance between supply and demand of naphtha, due to its rapidly increasing car pop...Naphtha is an important raw material for manufacture of clean fuels and ethylene products. However, China is experiencing a serious imbalance between supply and demand of naphtha, due to its rapidly increasing car population and booming ethylene industry, the demand of which cannot be met by the domestic depleting crude oil resources. Focusing on alleviating the above-mentioned naphtha deficit, this paper puts forward an idea suggesting that China＇s limited naphtha resource should be used reasonably. Naphtha feedstocks with more potential aromatic content should be used in catalytic reforming process to produce clean fuel products, and those feedstocks with more paraffinic content should be used in ethylene production. Meanwhile, industry tests show that the low-valued naphtha byproduct from ethylene plants and the products of secondary processing units at refineries can also be applied so as to extend the naphtha supply for manufacture of cleaner fuels and ethylene derivatives.展开更多
In this work, we examine the impact of crude distillation unit(CDU) model errors on the results of refinery-wide optimization for production planning or feedstock selection. We compare the swing cut + bias CDU model w...In this work, we examine the impact of crude distillation unit(CDU) model errors on the results of refinery-wide optimization for production planning or feedstock selection. We compare the swing cut + bias CDU model with a recently developed hybrid CDU model(Fu et al., 2016). The hybrid CDU model computes material and energy balances, as well as product true boiling point(TBP) curves and bulk properties(e.g., sulfur% and cetane index, and other properties). Product TBP curves are predicted with an average error of 0.5% against rigorous simulation curves. Case studies of optimal operation computed using a planning model that is based on the swing cut + bias CDU model and using a planning model that incorporates the hybrid CDU model are presented. Our results show that significant economic benefits can be obtained using accurate CDU models in refinery production planning.展开更多
文摘Naphtha is an important raw material for manufacture of clean fuels and ethylene products. However, China is experiencing a serious imbalance between supply and demand of naphtha, due to its rapidly increasing car population and booming ethylene industry, the demand of which cannot be met by the domestic depleting crude oil resources. Focusing on alleviating the above-mentioned naphtha deficit, this paper puts forward an idea suggesting that China＇s limited naphtha resource should be used reasonably. Naphtha feedstocks with more potential aromatic content should be used in catalytic reforming process to produce clean fuel products, and those feedstocks with more paraffinic content should be used in ethylene production. Meanwhile, industry tests show that the low-valued naphtha byproduct from ethylene plants and the products of secondary processing units at refineries can also be applied so as to extend the naphtha supply for manufacture of cleaner fuels and ethylene derivatives.
基金supported by the Ontario Research FoundationMc Master Advanced Control ConsortiumImperial Oil
文摘In this work, we examine the impact of crude distillation unit(CDU) model errors on the results of refinery-wide optimization for production planning or feedstock selection. We compare the swing cut + bias CDU model with a recently developed hybrid CDU model(Fu et al., 2016). The hybrid CDU model computes material and energy balances, as well as product true boiling point(TBP) curves and bulk properties(e.g., sulfur% and cetane index, and other properties). Product TBP curves are predicted with an average error of 0.5% against rigorous simulation curves. Case studies of optimal operation computed using a planning model that is based on the swing cut + bias CDU model and using a planning model that incorporates the hybrid CDU model are presented. Our results show that significant economic benefits can be obtained using accurate CDU models in refinery production planning.
