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The 2030 zero-net emission target in the E.U. demands a significant improvement in the energy performance of the building stock. This study analyses the adoption of connected thermostats and Home energy-management system solutions (HEMS) as an effective means to tackle the residential energy footprint. It reviews the main features of HEMS systems in terms of technology, cross-study performances, and the obstacles to widespread adoption; the study adopts the case-study methodology to examine the impact on the Italian real estate stock at a regional level. A matrix of adoption scenarios assesses the potential benefits of global residential energy savings, weighted by local climatic variations, dimension, number of single dwellings, and average primary energy reduction per household. Results demonstrate that all adoption scenarios dramatically reduce residential energy consumption, outperforming the E.U. targets for Italy by 2030.

Abstract In the summer of 1989 a survey was conducted to collect data on household-energy consumption in Indian cities. The survey was conducted in three urban areas of varying sizes. The end-uses considered were cooking, water heating, lighting, air cooling, entertainment, cold storage, and washing/laundry. The surveys involved examination of the types and quantities of energy used to satisfy each of these services. The survey sample in each of the three cities was broken down by income group, allowing for a careful examination of the influence of household income on lifestyle patterns and related energy use choices. Among the houses surveyed were 75 households in Pune, India, that took part in a 1982 household energy study as well. The re-surveying process allowed for an analysis of longitudinal changes in residential energy use. Based on the survey findings, a number of recommendations are provided for improving the provision and use of energy in urban households in India.

This study investigates human-building interaction in office spaces across multiple countries including Brazil, Italy, Poland, Switzerland, the United States, and Taiwan. We analyze social-psychological, contextual, and demographic factors to explain cross-country differences in adaptive thermal actions (i.e. cooling and heating behaviors) and conformity to the norms of sharing indoor environmental control features, an indicator of energy consumption. Specifically, personal adjustments such as putting on extra clothes are generally preferred over technological solutions such as adjusting thermostats in reaction to thermal discomfort. Social-psychological factors including attitudes, perceived behavioral control, injunctive norms, and perceived impact of indoor environmental quality on work productivity influence occupants’ intention to conform to the norms of sharing environmental control features. Lastly, accessibility to environmental control features, office type, gender, and age are also important factors. These findings demonstrate the roles of social-psychological and certain contextual factors in occupants’ interactions with building design as well as their behavior of sharing environmental control features, both of which significantly influence building energy consumption, and thus, broader decarbonization.

Abstract The article presents design problems of tourist infrastructure in protected landscape and nature areas in Poland. They concern discrete regulation of the intensity and course of leisure and tourist traffic towards and within protected areas. Such regulation can only be carried out on the basis of the structure of accessibility of areas covered by protection and spatial development plans, shaped in accordance with environmental conditions. The quality of access to protected areas is also significantly influenced by the architecture of tourist infrastructure objects presented in the article. It concerns selected objects of small wooden architecture designed in areas with special landscape and natural requirements, which have been implemented in Poland in recent years. These objects are small elements, e.g. signposts, information and educational boards, benches, tables, waste bins, rest shelters, objects at entrances to protected areas (gates), ticket offices, as well as impressive engineering structures built in difficult terrain conditions, e.g. terraces, platforms and observation towers. These issues will be presented on the basis of many years of research and design works concerning protected areas in Lower Silesia (arch. Bogusław Wojtyszyn) and original designs (arch. Alicja Maciejko and arch. Mirosław Strzelecki) realised on the tourist routes of the Stolowe Mountains National Park in Poland, shaping tourism and recreation accessibility for all users including disabled people in protected landscape and nature areas.

AbstractAn analysis was carried out to show whether the Warmińsko-Mazurskie Voivodeship (Poland) could become energy self-sufficient. The technical potential of electricity and heat from renewable sources has been calculated. The calculated values are 6.93 TWh/year of electricity and 15.84 PJ/year of heat—these amounts would ensure the energy independence of the Voivodeship. The Warmińsko-Mazurskie Voivodeship is an example of transformation towards “green” energy, it shows that such transformation is also possible in Poland even in short term. This would reduce air pollution as well as limit the import of energy resources. It is very important, it allows us to think with optimism and implement Poland’s energy transformation towards renewable energy (RE). Additionally, a SWOT analysis of each type of RE in the Warmińsko-Mazurskie Voivodeship was presented. The SWOT analysis makes it possible to identify the strengths, weaknesses, prospects and threats for RE in the Voivodeship and the whole country. It has been found that there is a great interest of investors in RE in the Voivodeship, there is usually a great public support for new energy sources, and the biggest barriers are high investment costs and complicated law in Poland. Graphic abstract

Abstract The paper presents a comprehensive approach to capturing the scale of exposure to hidden energy poverty at a household level in 11 Central and Eastern European countries. Despite constant refinements, the currently used energy poverty metrics remain highly controversial when it comes to inter-country comparisons. Scarce data and the lack of agreement on the energy poverty definition among the EU countries impedes operationalization of energy poverty measures on a global scale. Instead, we propose a reliable tool for tracking hidden energy poverty based on the existing micro-level data compiled by Eurostat. The paper assumes that the energy poor limit their energy consumption to the level below what is reasonably assumed a decent life. To estimate the expected energy costs, the paper introduces a new statistical approach. We consider multiple aspects of exposure to hidden energy poverty, including dwelling parameters and location, households’ structure, and regional specificity. Our findings confirm that on average 23.57% of the Central and Eastern European population is exposed to hidden energy poverty. The examined profiles are quite heterogeneous. In general, the affected are single-person households or living in detached houses and remote areas households with dependent children. The paper provides suggestions for targeted policy action.

The analyzed research issue provides a model for Carbon Footprint estimation at an early design stage. In the context of climate neutrality, it is important to introduce regenerative design practices in the architect’s design process, especially in early design phases when the possibility of modifying the design is usually high. The research method was based on separate consecutive research works–partial tasks: Developing regenerative design guidelines for simulation purposes and for parametric modeling; generating a training set and a testing set of building designs with calculated total Carbon Footprint; using the pre-generated set to train a Machine Learning Model; applying the Machine Learning Model to predict optimal building features; prototyping an application for a quick estimation of the Total Carbon Footprint in the case of other projects in early design phases; updating the prototyped application with additional features; urban layout analysis; preparing a new approach based on Convolutional Neural Networks and training the new algorithm; and developing the final version of the application that can predict the Total Carbon Footprint of a building design based on basic building features and on the urban layout. The results of multi-criteria analyses showed relationships between the parameters of buildings and the possibility of introducing Carbon Footprint estimation and implementing building optimization at the initial design stage.

Nowadays, apart from travel time and cost, more and more attention is paid to ensuring that ecological footprint of the means of transport used for a journey is as small as possible. Therefore, it is reasonable to look for methods and solutions that will allow planning communication connections according to the principles of sustainable development. The aim of the article was to present mathematical model of the proecological distribution of traffic flow into a network, together with a determination of how the amount of emissions of harmful compounds for rail transport will be calculated (based on amount of energy necessary for movement, calculated on circumference of the wheels). The model has been verified on real data. The traffic flow was distributed over a selected communication route: Warszawa—Gdansk, where the criterion was minimization of total carbon dioxide emissions. An evolutionary method implemented in Microsoft Excel was used to solve the optimization problem. For the analysis of only the fastest connections, the railway one was the optimal from the point of view of the adopted criteria. After the train capacity was exceeded, air and car connections were loaded. Based on the research, a function that represents the amount of carbon dioxide emissions in the analyzed traffic route depending on the size of the traffic flow was developed.