China’s long-term,low-emission development goals will hinge on effective low-carbon policies.Therefore,it is valuable to evaluate the costs and benefits of low-carbon policy packages to ensure that low-carbon develop...China’s long-term,low-emission development goals will hinge on effective low-carbon policies.Therefore,it is valuable to evaluate the costs and benefits of low-carbon policy packages to ensure that low-carbon development concepts and strategies can be well integrated into the policy making process.This work uses the Low-carbon Policy Assessment(LPA)model to assess long-term costs and benefits of climate and energy policies in China under the reference(RS)scenario and the low-carbon(LC)scenario,which includes 25 additional climate and energy policies.In the LC scenario,both energy-related CO2 emissions and total greenhouse gas(GHG)emissions peak around 2030,achieving China’s Nationally Determined Contribution(NDC)target.Of the policies included in the LC scenario,the five with the highest GHG mitigation potential beyond China’s existing policies are:fluorinated gas(F-gas)substitution,a renewable portfolio standard,carbon pricing,carbon capture utilization and storage(CCUS),and a fuel economy standard for heavy duty vehicles(HDVs).In addition to reducing GHG emissions,these policies decrease particulate emissions and associated premature deaths,which would otherwise reduce China’s GDP by nearly 1.5%in 2050.Together,these policies have the potential to promote significant low-carbon prosperity in China.展开更多
The Paris Agreement marks the beginning of a new era in the global response to climate change, which further clarifies the long-term goal and underlines the urgency addressing climate change. For China,promoting the d...The Paris Agreement marks the beginning of a new era in the global response to climate change, which further clarifies the long-term goal and underlines the urgency addressing climate change. For China,promoting the decoupling between economic growth and carbon emissions as soon as possible is not only the core task of achieving the medium-and long-term goals and strategies to address climate change, but also the inevitable requirement for ensuring the sustainable development of economy and society. Based on the analysis of the historical trends of the economy and social development, as well as society, energy consumption, and key end-use sectors in China, this paper studies the deep carbon emission reduction potential of carbon emission of in energy, industry, building, and transportation and other sectors with "bottom-up" modeling analysis and proposes a medium-and long-term deep decarbonization pathway based on key technologies' mitigation potentials for China. It is found that under deep decarbonization pathway, China will successfully realize the goals set in China's Intended Nationally Determined Contributions of achieving carbon emissions peak around 2030 and lowering carbon dioxide emissions per unit of gross domestic product(GDP) by 60-65% from the 2005 level.From 2030 onward, the development of nonfossil energy will further accelerates, and the share of nonfossil energies in primary energy will amounts to about 44% by 2050. Combined with the acceleration of low-carbon transformation in end-use sectors including industry, building, and transportation, the carbon dioxide emissions in 2050 will fall to the level before 2005, and the carbon dioxide emissions per unit of GDP will decreases by more than 90% from the 2005 level. To ensure the realization of the deep decarbonization pathway, this paper puts forward policy recommendations from four perspectives, including intensifying the total carbon dioxide emissions cap and strengthening the related institutional systems and regulations, improving the incentive policies for industrial lowcarbon development, enhancing the role of the market mechanism, and advocating low-carbon life and consumption patterns.展开更多
Virtualization of network/service functions means time sharing network/service（and affiliated）resources in a hyper speed manner.The concept of time sharing was popularized in the 1970s with mainframe computing.The s...Virtualization of network/service functions means time sharing network/service（and affiliated）resources in a hyper speed manner.The concept of time sharing was popularized in the 1970s with mainframe computing.The same concept has recently resurfaced under the guise of cloud computing and virtualized computing.Although cloud computing was originally used in IT for server virtualization,the ICT industry is taking a new look at virtualization.This paradigm shift is shaking up the computing,storage,networking,and ser vice industries.The hope is that virtualizing and automating configuration and service management/orchestration will save both capes and opex for network transformation.A complimentary trend is the separation（over an open interface）of control and transmission.This is commonly referred to as software defined networking（SDN）.This paper reviews trends in network/service functions,efforts to standardize these functions,and required management and orchestration.展开更多
Natural energy use is important to reduce the energy consumption of buildings. However, further reducing energy consumption with traditional systems is difficult. Therefore, we proposed a MMHP （multi-source and multi...Natural energy use is important to reduce the energy consumption of buildings. However, further reducing energy consumption with traditional systems is difficult. Therefore, we proposed a MMHP （multi-source and multi-use heat pump） to achieve higher efficiency than traditional systems. The MMHP system connects multiple heat sources such as solar heat, the ground, and air and multiple heat uses such as cooling, heating, and a hot water dispenser with a water loop. Each type of heat use side can utilize heat efficiently. However, there is a distinct lack of highly efficient hot water dispensers available. Therefore, we developed the IHWD WS （instantaneous hot water dispenser based on a water source） heat pump. In this study, we developed a prototype of the IHWD WS heat pump. The coefficient of performance of the IHWD WS heat pump was 5.2-8.5 throughout a year. When it is improved, COP （coefficient of performance） is expected to be 9.3-9.9.展开更多
Natural gas is an emerging and reliable energy source in transition to a low-carbon economy.The natural gas transportation pipeline network systems are crucial when transporting natural gas from the production endpoin...Natural gas is an emerging and reliable energy source in transition to a low-carbon economy.The natural gas transportation pipeline network systems are crucial when transporting natural gas from the production endpoints to processing or consuming endpoints.Optimizing the operational efficiency of compressor stations within pipeline networks is an effective way to reduce energy consumption and carbon emissions during transportation.This paper proposes an optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning(DRL).The mathematical simulation model is derived from mass balance,hydrodynamics principles of gas flow,and compressor characteristics.The optimization control problem in steady state is formulated into a one-step Markov decision process(MDP)and solved by DRL.The decision variables are selected as the discharge ratio of each compressor.By the comprehensive comparison with dynamic programming(DP)and genetic algorithm(GA)in three typical element topologies(a linear topology with gun-barrel structure,a linear topology with branch structure,and a tree topology),the proposed method can obtain 4.60%lower power consumption than GA,and the time consumption is reduced by 97.5%compared with DP.The proposed framework could be further utilized for future large-scale network optimization practices.展开更多
基金supported by The National Key Research and Development Program of China[Grant No.2016YFA0602800].
文摘China’s long-term,low-emission development goals will hinge on effective low-carbon policies.Therefore,it is valuable to evaluate the costs and benefits of low-carbon policy packages to ensure that low-carbon development concepts and strategies can be well integrated into the policy making process.This work uses the Low-carbon Policy Assessment(LPA)model to assess long-term costs and benefits of climate and energy policies in China under the reference(RS)scenario and the low-carbon(LC)scenario,which includes 25 additional climate and energy policies.In the LC scenario,both energy-related CO2 emissions and total greenhouse gas(GHG)emissions peak around 2030,achieving China’s Nationally Determined Contribution(NDC)target.Of the policies included in the LC scenario,the five with the highest GHG mitigation potential beyond China’s existing policies are:fluorinated gas(F-gas)substitution,a renewable portfolio standard,carbon pricing,carbon capture utilization and storage(CCUS),and a fuel economy standard for heavy duty vehicles(HDVs).In addition to reducing GHG emissions,these policies decrease particulate emissions and associated premature deaths,which would otherwise reduce China’s GDP by nearly 1.5%in 2050.Together,these policies have the potential to promote significant low-carbon prosperity in China.
基金supported by The National Key Research and Development Program of China(Grant No.2016YFA0602800)The Pathways to Deep Decarbonization in 2050 ProjectChina's Deep Low Carbon Transition Pathway Research Project
文摘The Paris Agreement marks the beginning of a new era in the global response to climate change, which further clarifies the long-term goal and underlines the urgency addressing climate change. For China,promoting the decoupling between economic growth and carbon emissions as soon as possible is not only the core task of achieving the medium-and long-term goals and strategies to address climate change, but also the inevitable requirement for ensuring the sustainable development of economy and society. Based on the analysis of the historical trends of the economy and social development, as well as society, energy consumption, and key end-use sectors in China, this paper studies the deep carbon emission reduction potential of carbon emission of in energy, industry, building, and transportation and other sectors with "bottom-up" modeling analysis and proposes a medium-and long-term deep decarbonization pathway based on key technologies' mitigation potentials for China. It is found that under deep decarbonization pathway, China will successfully realize the goals set in China's Intended Nationally Determined Contributions of achieving carbon emissions peak around 2030 and lowering carbon dioxide emissions per unit of gross domestic product(GDP) by 60-65% from the 2005 level.From 2030 onward, the development of nonfossil energy will further accelerates, and the share of nonfossil energies in primary energy will amounts to about 44% by 2050. Combined with the acceleration of low-carbon transformation in end-use sectors including industry, building, and transportation, the carbon dioxide emissions in 2050 will fall to the level before 2005, and the carbon dioxide emissions per unit of GDP will decreases by more than 90% from the 2005 level. To ensure the realization of the deep decarbonization pathway, this paper puts forward policy recommendations from four perspectives, including intensifying the total carbon dioxide emissions cap and strengthening the related institutional systems and regulations, improving the incentive policies for industrial lowcarbon development, enhancing the role of the market mechanism, and advocating low-carbon life and consumption patterns.
文摘Virtualization of network/service functions means time sharing network/service（and affiliated）resources in a hyper speed manner.The concept of time sharing was popularized in the 1970s with mainframe computing.The same concept has recently resurfaced under the guise of cloud computing and virtualized computing.Although cloud computing was originally used in IT for server virtualization,the ICT industry is taking a new look at virtualization.This paradigm shift is shaking up the computing,storage,networking,and ser vice industries.The hope is that virtualizing and automating configuration and service management/orchestration will save both capes and opex for network transformation.A complimentary trend is the separation（over an open interface）of control and transmission.This is commonly referred to as software defined networking（SDN）.This paper reviews trends in network/service functions,efforts to standardize these functions,and required management and orchestration.
文摘Natural energy use is important to reduce the energy consumption of buildings. However, further reducing energy consumption with traditional systems is difficult. Therefore, we proposed a MMHP （multi-source and multi-use heat pump） to achieve higher efficiency than traditional systems. The MMHP system connects multiple heat sources such as solar heat, the ground, and air and multiple heat uses such as cooling, heating, and a hot water dispenser with a water loop. Each type of heat use side can utilize heat efficiently. However, there is a distinct lack of highly efficient hot water dispensers available. Therefore, we developed the IHWD WS （instantaneous hot water dispenser based on a water source） heat pump. In this study, we developed a prototype of the IHWD WS heat pump. The coefficient of performance of the IHWD WS heat pump was 5.2-8.5 throughout a year. When it is improved, COP （coefficient of performance） is expected to be 9.3-9.9.
基金financial support to conduct this work,and acknowledges Aramco Americas for their support under grant ASC AGREEMENT NO.CW57093.
文摘Natural gas is an emerging and reliable energy source in transition to a low-carbon economy.The natural gas transportation pipeline network systems are crucial when transporting natural gas from the production endpoints to processing or consuming endpoints.Optimizing the operational efficiency of compressor stations within pipeline networks is an effective way to reduce energy consumption and carbon emissions during transportation.This paper proposes an optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning(DRL).The mathematical simulation model is derived from mass balance,hydrodynamics principles of gas flow,and compressor characteristics.The optimization control problem in steady state is formulated into a one-step Markov decision process(MDP)and solved by DRL.The decision variables are selected as the discharge ratio of each compressor.By the comprehensive comparison with dynamic programming(DP)and genetic algorithm(GA)in three typical element topologies(a linear topology with gun-barrel structure,a linear topology with branch structure,and a tree topology),the proposed method can obtain 4.60%lower power consumption than GA,and the time consumption is reduced by 97.5%compared with DP.The proposed framework could be further utilized for future large-scale network optimization practices.
