Does energy efficiency-indoor air quality dilemma have an impact on the gross domestic product?

Asere, Liva; Blumberga, Andra

doi:10.1016/j.jenvman.2020.110270

Cited by 13 publications

(9 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The usage of PV panels and a pellet boiler is the possible solution for energy efficiency and indoor air quality dilemma so the students would have a qualitative school environment. Therefore these students would have better performance, the country would have professionals with better qualification and after all the higher GDP increase [20].…”

Section: Discussionmentioning

confidence: 99%

“…Classrooms have a high occupancy rate and buildings use different heating, ventilation and air conditioning systems to achieve and maintain nourishing indoor air quality levels. All these systems' maintenance costs are quite expensive and as concluded from previous studiesthe main drawback operating the mechanical ventilation [20]. There are cases [10] when the systems are more likely not working and the indoor air quality in school buildings after energy Environmental and Climate Technologies ____________________________________________________________________________ 2020 / 24 359 efficiency measures have been implemented is very low and that affects students' health, comfort and performance conditions [21], [22].…”

Section: Educational Buildings' Environmentsmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficiency – Indoor Air Quality Dilemma in Educational Buildings: A Possible Solution

Asere

Blumberga

2020

Environmental and Climate Technologies

Self Cite

View full text Add to dashboard Cite

AbstractThe energy efficiency – indoor air quality dilemma is well known and the main drawback to operate the mechanical ventilation is electricity costs as concluded from previous studies. Educational buildings are one of the places where future taxpayers spend a lot of time. This paper aims to study an alternative solution on how to reduce energy efficiency – indoor air quality dilemma in educational buildings by adopting systems that use renewable energy sources. A typical education building in Latvia is taken as a case study by changing it from a consumer to prosumer. This building type has a specific electricity usage profile that makes the choice of photovoltaics (PV) power quite challenging so the various power options have been analysed and used for an electricity solution. Also, the more decentralised preference is chosen – disconnect from a public heating provider and using a local system with a pellet boiler. Educational buildings using PV can reduce the electricity tariff, but the payback periods are still not very satisfactory without subsidies. The average electricity tariff per month varies between scenarios and the best one is for the scenario with 30 kW installed power. The educational building partly using 16 kW PV system reduces not only its bill for electricity but also reduces CO2 emissions by around 36 tons. The education buildings as energy prosumers using renewable energy sources are reducing GHG emissions by having high indoor air quality.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Educational Buildings' Environmentsmentioning

confidence: 99%

Energy Efficiency – Indoor Air Quality Dilemma in Educational Buildings: A Possible Solution

Asere

Blumberga

2020

Environmental and Climate Technologies

Self Cite

View full text Add to dashboard Cite

show abstract

“…Using only periodic opening of windows, the ventilation of rooms is not ensured to the required extent, the level of CO 2 concentrations in rooms exceeds the good quality level. It affects the well-being of the inhabitants and might have a wider impact on gross domestic product in the future as described by Blumberga et al [24] if pupils' are learning in the premises with increased levels of CO2.…”

Section: Methodsmentioning

confidence: 99%

Energy Performance of the Millennium Buildings (1992 – 2014) in Latvia

Ruta¹,

VANAGA²,

FREIMANIS³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…An important indicator in the economic sphere-gross domestic product (GDP)-has also become a growing concern, and is an important economic indicator of a country's economic situation, providing an important basis for the health of the economy. GDP is the market value of all nal goods and services produced within a country in a given period, and GDP growth is an important economic indicator of the health of a country's economy [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

GDP Economic Forecasting Model Based on Improved RBF Neural Network

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Among the existing GDP forecasting methods, time series forecasting and regression model forecasting are the two most commonly used forecasting methods. However, traditional macroeconomic forecasting models are unable to accurately achieve optimal forecasts of highly complex nonlinear dynamic macroeconomic systems due to the influence of multiple confounding factors. In order to solve the above problems, a GDP economic forecasting model based on an improved RBF neural network is proposed. First, the main traditional GDP forecasting methods are analyzed. Then, RBF neural networks are used to solve the problem that traditional forecasting technology methods cannot handle multi-factor complex nonlinearities well. Second, to further improve the convergence speed and accuracy of the RBF neural network learning algorithm, the Shuffled Frog Leaping Algorithm with global search capability and high practicality is fused into the RBF network training. Finally, the improved RBF neural network is used to build a GDP economic forecasting model. The performance of the Shuffled Frog Leaping Algorithm and the improved RBF neural network was tested using the approximation of Hermit polynomials and the Iris classification problem as simulation examples. The experimental results show that the improved RBF neural network-based GDP economic forecasting model achieves more accurate forecasting accuracy than other forecasting methods.

show abstract

Does energy efficiency-indoor air quality dilemma have an impact on the gross domestic product?

Cited by 13 publications

References 24 publications

Energy Efficiency – Indoor Air Quality Dilemma in Educational Buildings: A Possible Solution

Energy Efficiency – Indoor Air Quality Dilemma in Educational Buildings: A Possible Solution

Energy Performance of the Millennium Buildings (1992 – 2014) in Latvia

GDP Economic Forecasting Model Based on Improved RBF Neural Network

Contact Info

Product

Resources

About