Management of energy efficient measures by buildings’ thermorenovation

Zemītis, Jurģis; Terekh, Maxim

doi:10.1051/matecconf/201824506003

Cited by 8 publications

(7 citation statements)

References 8 publications

(3 reference statements)

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“…Consequently, instances of excessively dry indoor air are extremely rare. Moreover, human activities generate moisture, and unless ventilation is exceptionally aggressive, excessively dry indoor air is nearly unattainable [75]. Considering this aspect, applying dry energy efficiency for energy certification yields a calculation result with a 5% buffer.…”

Section: Results and Analysismentioning

confidence: 99%

Cold Climate Challenges: Analysis of Heat Recovery Efficiency in Ventilation Systems

Prozuments,

Zemitis,

Bulanovs

2023

Energies

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As building energy consumption gains ever-increasing attention worldwide, the focus on addressing it through the examination and optimization of efficient heat recovery solutions continues to intensify. With well-insulated and airtight buildings, the proportion of heating needs attributed to ventilation is growing, leading to the widespread integration and optimization of heat recovery solutions in mechanical ventilation systems. Heat recovery in ventilation is a highly efficient strategy for reducing heat losses and conserving energy. This study involves the investigation of a ventilation unit installed in an apartment situated in Riga, Latvia, as a practical examination of heat recovery system efficiency within the Latvian climate conditions, representing a cold climate region. The objective of this study was to examine the heat recovery efficiency of the ventilation system in the Latvian climate with variable outdoor and exhaust air parameters, given that the dry heat recovery efficiency is different from the actual heat recovery efficiency. The ventilation unit was equipped with a plate heat exchanger at an airflow rate of 105 m3/h. To evaluate heat recovery efficiency, extensive measurements of air temperature and relative humidity were conducted. The collected data was analyzed, employing statistical regression analysis to ensure measurement reliability and assess correlations. The findings indicated a strong correlation between variables such as heat content, moisture content, and sensible air parameters. It was observed that the actual heat recovery efficiency was 6% higher than the calculated dry efficiency, emphasizing the importance of considering real-world conditions in heat recovery assessments. Additionally, regression analysis demonstrated a positive linear correlation with a coefficient of 0.77, highlighting the dependency between actual measurements and the theoretical model. These quantitative outcomes provide essential insights for optimizing heat recovery systems and enhancing energy-efficient ventilation practices, especially in cold climate environments. Moreover, this study highlights the strong correlation between variables such as heat content, moisture content, and sensible air parameters. Findings offer essential insights for optimizing heat recovery systems and enhancing energy-efficient ventilation practices, especially in cold climate environments.

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Section: Results and Analysismentioning

confidence: 99%

Cold Climate Challenges: Analysis of Heat Recovery Efficiency in Ventilation Systems

Prozuments,

Zemitis,

Bulanovs

2023

Energies

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“…Energy consumption (kWhr) = -471397 + 0.3265 Student's total manhours (4) In the model summary shown the results that the students manhours explain 50.72% of the variation in the energy consumption indicated by the R-sq value Table 12 shows 0.004 as the result of the p-value for student manhours and this is less than the significance level of 0.05. The value validates the association between student manhours and energy consumption being statistically significant.…”

Section: Student Manhours and Energy Consumption Regression And Corre...mentioning

confidence: 90%

“…There is clear evidence concerning the relevance of the association between the variables. Grand power (W) = -48604 -666.2 Age (years) (9) In the model summary shown the results that the building age explain 5.78% of the variation in the grand power. The R-sq value shows that the model does not adequately fit the data.…”

Section: Gross Floor Area and Grand Power Regression And Correlation ...mentioning

confidence: 97%

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Evaluation of Factors that Influence Electrical Energy Consumption in Higher Educational Institutions – Preparatory for Energy Management System

Mojica

2023

E3S Web Conf.

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The Philippines’ need for electricity has dramatically expanded over the last decade due to the country’s growing economy, population, and significantly subsidized energy rates. Eventually, especially in schools, integrating green technology may be a way to solve the rising need for electrical energy. But the acceptance rate of such technology is low due to the expensive set-up costs, climate irregularities, and insufficient awareness of the customers and trained professionals. But before utilizing green technology, an energy audit should be conducted as it is the first step in reducing energy consumption at the facility level and assuring a level of efficiency that is acceptable. University campus is a representation of diverse buildings with diverse and substantial energy consumption thus providing an excellent testbed to identify the characteristics of the energy consumption of mixed-use buildings. This study was conducted to five universities aimed to evaluate the varied factors that influence electrical energy consumption through estimation of the effects of changes in the consumption of this higher educational institutions (HEI) in terms of their profiles using regression and correlation as a statistical tool. The result will provide preparation for energy management system that can properly identify energy conservation measures.

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“…Time of cost recovery of the project will be equal to 2-3 years. These payback periods are acceptable in the automotive industry [13][14][15][16][17], so construction of these objects is economically expedient.…”

Section: Discussionmentioning

confidence: 99%

Economic assessment of construction of the roadside service facilities

Makovetskaya-Abramova

Иванов

Lazarev

et al. 2020

E3S Web Conf.

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There is a strategy of the E-95 road «Pskov» infrastructure improvement and some practical recommendations for implementation of the plan in this work. The main purpose of the article is infrastructure improvement of the section of the Federal highway, for example, some new workplaces can be created, moreover, comfort and safety increasing can improve people’s quality of life. Such objects as petrol-filling stations and service stations are essential elements for the modernization of the roadside infrastructure at this highway. It is offered to apply a typical business plan and calculate the cost of every type of such constructions taking into account the requirements of regulatory documents. There is a necessity for the construction of 2 new service stations and 9 new petrolfilling stations, in accordance with the analysis of the roadside infrastructure. Amount and nomenclature of technological equipment of stations are thoroughly worked out and calculated by the authors of the statement, moreover, writers calculate power and transportation and installation cost. The results of the survey have practical importance and they can be recommended for improving the roadside structure. The results of the survey are optimal service delivery project for the road users in case of the transport load on the section of the Federal highway.

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Management of energy efficient measures by buildings’ thermorenovation

Cited by 8 publications

References 8 publications

Cold Climate Challenges: Analysis of Heat Recovery Efficiency in Ventilation Systems

Cold Climate Challenges: Analysis of Heat Recovery Efficiency in Ventilation Systems

Evaluation of Factors that Influence Electrical Energy Consumption in Higher Educational Institutions – Preparatory for Energy Management System

Economic assessment of construction of the roadside service facilities

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