The objective of this study is assessment of option on increasing energy efficiency improvement in buildings in Uzbekistan as well as identifying energy saving potential and associated social and economic benefits can be achieved by 2050. In 2011, about 50% of energy (electricity and heat) at the demand side was consumed by buildings. Moreover, given the exiting energy losses during its production and transportation to the end-users in buildings, primary energy resources (e.g. natural gas) consumption is amounted to 50%. The undertaken analysis and corresponding recommendations clearly demonstrate ways and benefits of transition to a low-emission development in buildings sector.

The Summary includes the major study outputs and findings addressed to the government decision-makers. The Chapter 1 presents the present status and development dynamic of residential and public buildings as well as current tariffs applied for households and public buildings along with assessment of their economic and social affordability for the population. The Chapter 2 provides characteristics of amounts and levels of energy consumption in buildings. The Chapter 3 describes the existing situation with the centralized and decentralized heat supply systems. Potentials for energy saving in buildings and heating systems are covered in the Chapter 4. Barriers to be overcome to increasing efficiency of energy use in the buildings are presented in the Chapter 5. The Chapter 6 describes in details development of energy efficient policies in the Republic of Uzbekistan.

The three development scenarios: “Baseline”, “Step into the XXI century” and “Soft way” foreseen the perspectives for increasing energy efficiency in buildings in Uzbekistan are presented in the Chapter 7. The Chapter 8 presents assessment of associated socio-economic benefits can be achieved through construction, operational and maintenance of energy efficient buildings. Development scenarios up to 2050 are developed using a set of mathematical models applied for the long-term modelling and forecasting.