Environmental and Architectural Solutions in the Problem of Waste Incineration Plants in Poland: A Comparative Analysis

Starzyk, Agnieszka; Rybak-Niedziółka, Kinga; Łacek, Przemysław; Mazur, Łukasz; Stefańska, Anna; Kurcjusz, Małgorzata; Nowysz, Aleksandra

doi:10.3390/su15032599

Cited by 8 publications

(4 citation statements)

References 71 publications

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“…The second object is the waste incinerator and power plant in the Danish city of Roskilde, designed by the Dutch architect Erick van Egeraat, whose style is classified by experts as modern baroque style. The unusual outlines of the plant attract attention and turn the building not only into a landmark, but also into a recognizable landmark, which can also be used to create a brand of industrial cities [21]. It should be noted that the works of Erick van Egeraat can also be found in Russia, including in such a large industrial center as Surgut.…”

Section: Discussionmentioning

confidence: 99%

Local and Glocal: The specifics of the formation and development of tourism brands of industrial locations

Bugrova

2023

E3S Web Conf.

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Territory branding is a significant tool for promoting and increasing the tourist attractiveness of a region. An illustrative example is the “UNESCO World Heritage Site” brand, but this brand is not equally effective for every type of site, especially in industrialized regions. The solution to the problem of promoting such territories as tourist attractions can be the development of a generalizing brand of industrial cities, considering their specifics, demonstrating both the local identity and the global significance of industrial regions. The presence of such a brand will make it possible to include a greater number of industrial cities and monotowns in various tourist routes, as well as to dispel several stereotypes that negatively affect the perception of industrial cities. On the example of various forms of industrial tourism, the tourist potential of industrial cities is demonstrated, which, in turn, confirms the need for an integrated approach to promoting this type of tourism.

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Section: Discussionmentioning

confidence: 99%

Local and Glocal: The specifics of the formation and development of tourism brands of industrial locations

Bugrova

2023

E3S Web Conf.

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“…"The architectural building type of educational design serves as a vehicle to transport eco-and archi-friendly values and deeply anchor these values in society from an early age" (p. 236, [18]). Architecture can be a relevant educational agent, supporting its didactic message [19,20]. An environmentally friendly building for a CEE becomes integral to environmental education.…”

Section: Introductionmentioning

confidence: 99%

Towards Sustainable Education by Design: Evaluating Pro-Ecological Architectural Solutions in Centers for Environmental Education

Bradecki,

Uherek-Bradecka,

Tofiluk

et al. 2024

Sustainability

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The imperative shift towards ecological consciousness in architectural design, driven by the pressing need to mitigate energy consumption and carbon emissions while fostering user well-being, has propelled the discourse on sustainable architecture to the forefront of contemporary dialogue. Concepts such as ecological architecture, sustainable, green, and regenerative design have emerged as pivotal frameworks aimed at aligning architectural practices with environmental imperatives. In this evolving architectural landscape, the centers for ecological education (CEEs) play an important role, embodying the intersection of architecture and ecological education. These centers, with their diverse educational initiatives, provide dedicated spaces for comprehensive ecological education. However, a gap exists in the literature regarding studies focusing on CEEs and the evaluation criteria for such facilities. This article seeks to bridge this gap by evaluating buildings designated for ecological education, aiming to present ecological content while exemplifying sustainable architectural principles. The study employs a research by design approach, combining a literature review with site investigations and qualitative assessments to elucidate the unique challenges and opportunities inherent in designing CEEs. Criteria for assessing the ecological quality of buildings are formulated. Through a comparative analysis, the article identifies key parameters for evaluating CEEs, considering their dual function as educational spaces and architectural exemplars. The evaluation framework developed in this study provides a valuable tool for architects, designers, and policymakers seeking to promote ecological education and sustainable architectural practices.

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“…Chinese waste has a high water content, low average calorific value, and large lumps, so grate-type waste incinerators are often used. However, due to the waste calorific value fluctuating and being difficult to measure, the impact on the environment can not be ignored [11,12].…”

Section: Introductionmentioning

confidence: 99%

Predictions of the Key Operating Parameters in Waste Incineration Using Big Data and a Multiverse Optimizer Deep Learning Model

Zhao,

Zhou,

et al. 2023

Sustainability

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In order to accurately predict the key operating parameters of waste incinerators, this paper proposes a prediction method based on big data and a Multi-Verse Optimizer deep learning model, thus providing a powerful reference for controlling the optimization of the incinerator combustion process. The key operating parameters that were predicted, according to the control objectives, were determined to be the steam flow, gas oxygen, and flue temperature. Firstly, a large amount of measurement data were collected, and 27 relevant control system parameters with a high correlation with the predicted variables were obtained via a mechanism analysis. The input variables of the prediction model were further determined using the improved WesselN symbolic transfer entropy algorithm. The delay time between the variables was found using a gray correlation coefficient, the prediction time was determined to be 6 min according to the delay time distribution of the flame feature, and the time delay compensation was applied to each parameter. Finally, the support vector machine was optimized using a Multi-Verse Optimization algorithm to complete the prediction of the key operating parameters. Experiments showed that the root mean square error of the proposed model for the three output variables—the steam flow, gas oxygen, and flue temperature—were 0.3035, 0.2477, and 1.6773, respectively, which provides a high accuracy compared to other models.

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Environmental and Architectural Solutions in the Problem of Waste Incineration Plants in Poland: A Comparative Analysis

Cited by 8 publications

References 71 publications

Local and Glocal: The specifics of the formation and development of tourism brands of industrial locations

Local and Glocal: The specifics of the formation and development of tourism brands of industrial locations

Towards Sustainable Education by Design: Evaluating Pro-Ecological Architectural Solutions in Centers for Environmental Education

Predictions of the Key Operating Parameters in Waste Incineration Using Big Data and a Multiverse Optimizer Deep Learning Model

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