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This paper deals with analysis of energy consumption of Ukrainian bromine plant. Process integration allows reducing the energy consumption on 1.5 MW by heat recovery. It is achieved by improvement of recuperative heat exchangers network. Additionally heat recovery may be increased by multistage evaporation of sodium bromide and ferrous chloride. Increase the heat recovery leads utility reduction. This is not only heating and cooling duty but also power pumping and pipe heat losses. The investment for retrofit project is about 757 100 € and payback period about 2 years.

This paper deals with analysis of energy consumption of Ukrainian bromine plant. Process integration allows reducing the energy consumption on 1.5 MW by heat recovery. It is achieved by improvement of recuperative heat exchangers network. Additionally heat recovery may be increased by multistage evaporation of sodium bromide and ferrous chloride. Increase the heat recovery leads utility reduction. This is not only heating and cooling duty but also power pumping and pipe heat losses. The investment for retrofit project is about 757 100 € and payback period about 2 years.

With about 195 countries signing the Paris (climate) Agreement and world leaders uniting for the planet after the United States’ notification to pull out of the agreement, many carbon capture and storage (CCS) projects are expected to be executed worldwide. Captured CO2 is not pure and may contain several impurities, which affect the flow dynamics of the CO2 fluid in pipelines. To design efficient CO2 pipeline transportation systems, it is imperative to understand the effect of these impurities on the flow behaviour. Aspen HYSYS (V10) and HydraFlash were used to study the behaviour of 90 mol % CO2 and 10 mol % single impurity (N2, CH4, H2, H2S, SO2, Ar, CO, NH3, O2 and H2O). The Peng-Robinson equation of state (EoS), which has the lowest average absolute deviation (AAD) among cubic EoS for predicting CO2 fluid properties, was used in Aspen HYSYS. Three different 50 km pipelines were simulated; one horizontal pipeline and two pipelines with +300 and -300 m in elevation between inlet and outlet respectively. The mass flow rate is 266,400 kg/h and the internal and external diameters of the pipelines are 0.289 m and 0.324 m respectively. All impurities changed the parameters of the flowing fluid. H2 impurity caused the most pressure loss for horizontal pipelines but may cause the least pressure loss for pipelines at high inclination angles. H2 and H2S formed the widest and narrowest two-phase regions, respectively. The results also show that H2 impurity resulted in the most heat loss while H2O and SO2 impurities had the lowest heat losses. Pipeline elevation change also affects the effect of each impurity on pressure changes. The difference in pressure drop between the impurity with the highest effect, H2, and that with the least effect, SO2, is 0.44 MPa for inclined pipelines, 0.77 MPa for horizontal pipelines and 1.44 MPa for declined pipelines. H2S had the mildest effect followed by NH3, H2O, SO2, CO, Ar, CH4, O2, N2 and H2.

With about 195 countries signing the Paris (climate) Agreement and world leaders uniting for the planet after the United States’ notification to pull out of the agreement, many carbon capture and storage (CCS) projects are expected to be executed worldwide. Captured CO2 is not pure and may contain several impurities, which affect the flow dynamics of the CO2 fluid in pipelines. To design efficient CO2 pipeline transportation systems, it is imperative to understand the effect of these impurities on the flow behaviour. Aspen HYSYS (V10) and HydraFlash were used to study the behaviour of 90 mol % CO2 and 10 mol % single impurity (N2, CH4, H2, H2S, SO2, Ar, CO, NH3, O2 and H2O). The Peng-Robinson equation of state (EoS), which has the lowest average absolute deviation (AAD) among cubic EoS for predicting CO2 fluid properties, was used in Aspen HYSYS. Three different 50 km pipelines were simulated; one horizontal pipeline and two pipelines with +300 and -300 m in elevation between inlet and outlet respectively. The mass flow rate is 266,400 kg/h and the internal and external diameters of the pipelines are 0.289 m and 0.324 m respectively. All impurities changed the parameters of the flowing fluid. H2 impurity caused the most pressure loss for horizontal pipelines but may cause the least pressure loss for pipelines at high inclination angles. H2 and H2S formed the widest and narrowest two-phase regions, respectively. The results also show that H2 impurity resulted in the most heat loss while H2O and SO2 impurities had the lowest heat losses. Pipeline elevation change also affects the effect of each impurity on pressure changes. The difference in pressure drop between the impurity with the highest effect, H2, and that with the least effect, SO2, is 0.44 MPa for inclined pipelines, 0.77 MPa for horizontal pipelines and 1.44 MPa for declined pipelines. H2S had the mildest effect followed by NH3, H2O, SO2, CO, Ar, CH4, O2, N2 and H2.

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In the past decades, China has adopted a wide variety of policies to stimulate bioenergy development, playing a more significant role in China’s energy structure. However, bioenergy development in China is still at an early stage and lags far behind other foreign countries. This study is aimed to explore the reasons behind this sluggish development from a policy perspective. Bioenergy development potential and provincial geographic distribution were investigated in China, which shows that the total technical bioenergy potential was about 0.85 GtCE in China in 2015. After analyzing the calculated allocation flow of bioenergy, it can be drawn that biomass power generation accounts for the highest proportion of bioenergy applications. A three-dimensional policy analysis framework is put forward to analyze the selected representative 72 pieces of biomass policies. It is concluded that there are some unbalanced policy problems, such as lacking demand policies in the biomass power generation industry and few applications of voluntary policies.

In the past decades, China has adopted a wide variety of policies to stimulate bioenergy development, playing a more significant role in China’s energy structure. However, bioenergy development in China is still at an early stage and lags far behind other foreign countries. This study is aimed to explore the reasons behind this sluggish development from a policy perspective. Bioenergy development potential and provincial geographic distribution were investigated in China, which shows that the total technical bioenergy potential was about 0.85 GtCE in China in 2015. After analyzing the calculated allocation flow of bioenergy, it can be drawn that biomass power generation accounts for the highest proportion of bioenergy applications. A three-dimensional policy analysis framework is put forward to analyze the selected representative 72 pieces of biomass policies. It is concluded that there are some unbalanced policy problems, such as lacking demand policies in the biomass power generation industry and few applications of voluntary policies.

With the rapid development of wind power, the installed capacity of wind power is also growing continuously. The intermittency and uncertainty of wind power may pose danger on the safety of the power system, thus Research of short-term load forecasting has important practical application value in the field of power network dispatching. The keys of wind power forecasting are the forecasting model selection and model optimization. In this paper, the least squares support vector machine (LSSVM) is chosen as the wind speed and the wind power prediction model and quantum-behaved particle swarm optimization (QPSO) algorithm is used to optimize the most important parameters which influence the least squares support vector machine regression model. In the proposed QPSO-LSSVM, the kernel parameter