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The paper presents the public building typology, energy demand estimations and retrofit scenarios, as well as associated costs and benefits for energy-saving measures in the public building stock of Albania. First, representative building types were identified to estimate their energy performance, and define retrofit packages. Second, this information was used to analyse the costs and benefits of the different thermal efficiency retrofits. Apart from specific benefits due to cost savings in the use phase, co-benefits were estimated to understand their dimension and influence on decision-making. Finally, energy efficiency supply curves were developed to show the priority sequence of retrofits and building types. It was found that due to the growing wealth in Albania, user behaviour will change a lot in the future. Energy usage in the public building sector will increase and mitigate savings resulting from energy-saving measures making saved energy costs invisible. However, if other benefits beyond energy savings are considered, the cost efficiency of the measures remain obvious. The recommended approach can be used to assist decision-making and allocate funds. [ABSTRACT FROM AUTHOR]

The paper presents the residential sector building typology, thermal energy balance, and scenarios prepared at several levels of sector segmentation to assist the design of low-carbon development policies for Albania, Serbia, and Montenegro. The research is breakthrough for developing Europe and could be replicated in its countries. The paper describes methodological steps and selected results. First, representative building types were identified; their energy performances by end-use, retrofit packages, as well as associated costs were assessed. Second, this information was inserted into a bottom-up simulation model prepared in the Long-range Energy Alternatives Planning System (LEAP) software. Using it, sector energy balances, the reference scenario, as well as moderate and advanced low-carbon high-thermal-comfort scenarios were prepared. The low-carbon scenarios assumed ambitious regulatory and financial policies. It was found that due to fuel poverty partial and intermittent heating is a typical situation; therefore, the thermal demand as predicted by the models applied to the different segments of the dwelling stock is much higher than its actual consumption. Also, actual consumption by energy source was found not fitting official energy balances because households use more wood and more heating systems than officially reported. In 2030, the moderate and ambitious scenarios lead to a reduction of CO2 emissions by 23-73% and 16-73% respectively versus the reference, offering however at the same time higher thermal comfort. The priority is to retrofit small buildings constructed after 1991 in Albania and those built in 1971-1990 in Montenegro and Serbia. Assuming the discount rate of 4% and counting saved energy costs as benefits, almost all scenarios are cost-effective as a whole on the country level, however not for many building categories. Therefore, not only saved energy costs but also other benefits should be monetized and compared to the scenario costs that present the next research opportunity. [ABSTRACT FROM AUTHOR]

The recent work aimed at the determination of the correct film coefficient value at design, since the practical experiences do not ensure the theory. It was proved by monitoring the film coefficient value along the edges and at thermal bridges and showing that it differs from the overall standard design value and varies in function with the temperature and several further random effects. Therefore, different hi values should be taken into consideration while calculating heating load and surface temperature. [ABSTRACT FROM PUBLISHER]

The goal of this literature review was to outline the research currently conducted on smart meter (SM) adoption and its connection to building occupant behavior to better understand both SM technology and SM customers. We compiled our findings from the existing literature and developed a holistic understanding of the socio-demographic factors that lead to more or less energy use, the methods used to group and cluster occupants on the basis of energy use, how occupant energy use profiles are developed, and which socio-psychological determinants may influence SM adoption. Our results highlight 11 demographic variables that impact building energy use, find 9 methods commonly used to profile occupants on the basis of energy usage, and highlight 13 socio-psychological variables than can be utilized to better understand SM adoption intentions. The review findings two major deficiencies in the existing literature. First, this review highlights the lack of existing interdisciplinary research that combines occupant behavior with SM data and a clear socio-psychological framework. Second, this review underscores certain data limitations in existing SM research, with most research being conducted only on residential or office buildings and geographically in North America or Western Europe. Final policy recommendations center on increased need for interdisciplinary SM research and the need for an expanded understanding of occupant behavior and SM research across different geographies. [ABSTRACT FROM AUTHOR]