The extraordinary rise of China is one of the greatest global stories of recent times. However, China's development has been described as ‘uneven, uncoordinated, and unsustainable’, and has now reached a critical turning point. To transform itself into a successful high-income economy, China urgently needs to develop a new welfare regime. Social policy and social welfare programmes are pivotal not only to meet mounting social needs but also to promote social cohesion. This timely book explores key turning points in China’s trajectory, from the creation of a socialist egalitarian society promising a relatively stable livelihood at the expense of economic development, through the market-oriented reforms which have dismantled the traditional social protection system. The authors present the formidable social challenges ahead, including demographic shift, residential migration, and corrosive inequalities, and outline the emerging forms of social security protection in urban and rural areas, community-based social care services, non-governmental organizations and the social work profession. To redress inequalities and strengthen social cohesion, China needs to construct a robust developmental and redistributive strategy with shared responsibility between different levels of governments, as well as between civil society, the state and the market. This comprehensive and astute guide to one of China’s key current challenges will be welcomed by students and scholars of social policy, welfare, sociology and political science, and all interested in contemporary China.
This book investigates the latest modeling and control technologies in the context of air-conditioning systems. Firstly, it introduces the state-space method for developing dynamic models of all components in a central air-conditioning system. The models are primarily nonlinear and based on the fundamental principle of energy and mass conservation, and are transformed into state-space form through linearization. The book goes on to describe and discuss the state-space models with the help of graph theory and the structure-matrix theory. Subsequently, virtual sensor calibration and virtual sensing methods (which are very useful for real system control) are illustrated together with a case study. Model-based predictive control and state-space feedback control are applied to air-conditioning systems to yield better local control, while the air-side synergic control scheme and a global optimization strategy based on the decomposition-coordination method are developed so as to achieve energy conservation in the central air-conditioning system. Lastly, control strategies for VAV systems including total air volume control and trim & response static pressure control are investigated in practice.
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