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The energy consumption of buildings is very important for both economic and environmental reasons. Newly built buildings are characterized by higher insulation and airtightness of the building envelope, and are additionally equipped with technologies that minimize energy consumption in order to meet legal requirements. In existing buildings, the modernization process should be properly planned, taking into account available technologies and implementation possibilities. Hotel buildings are characterized by a large variability of energy demand, both on a daily and a yearly basis. Monitoring systems, therefore, provide the necessary information needed for proper energy management in the building. This article presents an energy analysis of the Turówka hotel located in Wieliczka (southern Poland). The historical hotel facility is being modernized as part of the project to adapt the building to the requirements of a sustainable building. The modernization proposal includes a trigeneration system with a multifunctional reverse regenerator and control module using neural algorithms. The main purpose is to improve the energy efficiency of the building and adapt it to the requirements of low-energy buildings. The implementation of a monitoring system enables energy consumption to be reduced and improves the energy performance of the building, especially through using energy management systems and control modules. The proposed retrofit solution considers the high energy consumption, structure of the energy demand, and limits of retrofit intervention on façades.Energies 2020, 13, 1968 2 of 20 buildings. This negative trend may be halted by using renewable energy sources and new solutions with higher efficiency. The effects achieved in this way are not only beneficial to the environment, but, above all, to the consumer, whose operating costs are significantly reduced. The simplest solution to save energy would be to design a building using materials with low thermal conductivity and high-efficiency heating and/or cooling technology.Both environmental and economic factors have led European Union (EU) regulators to introduce a definition for "nearly Zero-Energy Buildings", hereinafter referred to as "sustainable buildings". Pursuant to the Directive of the European Parliament [4], they are buildings with low demand for heating, cooling, and electricity, which should be covered to a very significant extent by energy from renewable sources. The document [4] does not include the exact values of the coefficients to be met by a building, as these are defined by each Member State. The National Plan for increasing the number of low-energy buildings [5] extends this definition, stating that such a building meets the energy saving and thermal insulation requirements as defined in technical and building regulations.Referring to the Regulation of the Minister of Infrastructure, buildings should correspond to at least the optimum energy performance for new buildings, in force since January 2019 for buildings occupied and owned by pu...
The energy consumption of buildings is very important for both economic and environmental reasons. Newly built buildings are characterized by higher insulation and airtightness of the building envelope, and are additionally equipped with technologies that minimize energy consumption in order to meet legal requirements. In existing buildings, the modernization process should be properly planned, taking into account available technologies and implementation possibilities. Hotel buildings are characterized by a large variability of energy demand, both on a daily and a yearly basis. Monitoring systems, therefore, provide the necessary information needed for proper energy management in the building. This article presents an energy analysis of the Turówka hotel located in Wieliczka (southern Poland). The historical hotel facility is being modernized as part of the project to adapt the building to the requirements of a sustainable building. The modernization proposal includes a trigeneration system with a multifunctional reverse regenerator and control module using neural algorithms. The main purpose is to improve the energy efficiency of the building and adapt it to the requirements of low-energy buildings. The implementation of a monitoring system enables energy consumption to be reduced and improves the energy performance of the building, especially through using energy management systems and control modules. The proposed retrofit solution considers the high energy consumption, structure of the energy demand, and limits of retrofit intervention on façades.Energies 2020, 13, 1968 2 of 20 buildings. This negative trend may be halted by using renewable energy sources and new solutions with higher efficiency. The effects achieved in this way are not only beneficial to the environment, but, above all, to the consumer, whose operating costs are significantly reduced. The simplest solution to save energy would be to design a building using materials with low thermal conductivity and high-efficiency heating and/or cooling technology.Both environmental and economic factors have led European Union (EU) regulators to introduce a definition for "nearly Zero-Energy Buildings", hereinafter referred to as "sustainable buildings". Pursuant to the Directive of the European Parliament [4], they are buildings with low demand for heating, cooling, and electricity, which should be covered to a very significant extent by energy from renewable sources. The document [4] does not include the exact values of the coefficients to be met by a building, as these are defined by each Member State. The National Plan for increasing the number of low-energy buildings [5] extends this definition, stating that such a building meets the energy saving and thermal insulation requirements as defined in technical and building regulations.Referring to the Regulation of the Minister of Infrastructure, buildings should correspond to at least the optimum energy performance for new buildings, in force since January 2019 for buildings occupied and owned by pu...
Greenhouse gases such as carbon dioxide and methane cause global warming and consequently climate change. Great efforts are being made to reduce greenhouse gas emissions with the objective of addressing this problem, hence the popularity of technologies conductive to reducing greenhouse gas emissions. CO2 emissions can be reduced by improving the thermal efficiency of combustion engines, for example, by using cogeneration systems. Coal mine methane (CMM) emerges due to mining activities as methane released from the coal and surrounding rock strata. The amount of methane produced is primarily influenced by the productivity of the coal mine and the gassiness of the coal seam. The gassiness of the formation around the coal seam and geological conditions are also important. Methane can be extracted to the surface using methane drainage installations and along with ventilation air. The large amounts of methane captured by methane drainage installations can be used for energy production. This article presents a quarterly summary of the hourly values of methane capture, its concentration in the methane–air mixture, and electricity production in the cogeneration system for electricity and heat production. On this basis, neural network models have been proposed in order to predict electricity production based on known values of methane capture, its concentration, pressure, and parameters determining the time and day of the week. A prediction model has been established on the basis of a multilayer perceptron network (MLP).
Increasing emissions from mining areas and a high global warming potential of methane have caused gas management to become a vital challenge. At the same time, it provides the opportunity to obtain economic benefits. In addition, the use of combined heat and power (CHP) in the case of coalbed methane combustion enables much more efficient use of this fuel. The article analyses the possibility of electricity production using gas engines fueled with methane captured from the Budryk coal mine in Poland. The basic issue concerning the energy production from coalbed methane is the continuity of supply, which is to ensure the required amount and concentration of the gas mixture for combustion. Hence, the reliability of supply for electricity production is of key importance. The analysis included the basic characterization of both the daily and annual methane capture by the mine’s methane drainage system, as well as the development of predictive models to determine electricity production based on hourly capture and time parameters. To forecast electricity production, predictive models that are based on five parameters have been adopted. Models were prepared based on three time variables, i.e., month, day, hour, and two values from the gas drainage system-capture and concentration of the methane. For this purpose, artificial neural networks with different properties were tested. The developed models have a high value of correlation coefficient. but showed deviations concerning the very low values persisting for a short time. The study shows that electricity production forecasting is possible, but it requires data on many variables that directly affect the production capacity of the system.
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