Modeling the effect of dual-core energy recovery ventilator unit on the energy use of houses in northern Canada

Author(s):  
Jing Li ◽  
Radu Zmeureanu ◽  
Hua Ge
2021 ◽  
Vol 246 ◽  
pp. 10005
Author(s):  
Jing Li ◽  
Radu Zmeureanu ◽  
Hua Ge

The single core Energy Recovery Ventilator (ERV) used in this study is equipped with defrost control that recirculates the exhaust indoor air, while keeps the outdoor air intake damper closed. This defrost strategy has the disadvantage of reducing the outdoor air supplied to the house, which may affect the indoor air quality. First, this paper presents new correlation-based models of supply air temperature T2 after the energy recovery core during normal and defrost operation modes based on laboratory experimental data. A pre-heating coil heats the supply air from T2 to indoor air temperature. Second, a house in Montreal (4356 HDD) is simulated as a reference using TRNSYS program. Since the program cannot simulate the operation under defrost mode, the new models are connected in TRNSYS using equation boxes. The energy use of houses at three locations in northern Canada with HDD of 8798 (Inuvik), 8888 (Kuujjuaq) and 12208 (Resolute), are also simulated, without and with ERV unit. The seasonal energy used for heating the house and pre-heating the supply air is compared with results from Montreal. Compared to the case without heat recovery, the ERV unit leads to energy savings: 24% (Montreal), 26% (Inuvik), 27% (Kuujjuaq), and 27% (Resolute). Compared to the minimum standard requirements, the outdoor airflow rate due to defrost is reduced by 4.7% (223 hours) in Montreal, 19% (1043 hours) in Inuvik, 13% (701 hours) in Kuujjuaq, and 24% (1379 hours) in Resolute.


Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1158
Author(s):  
Behrad Bezyan ◽  
Radu Zmeureanu

In most cases, the benchmarking models of energy use in houses are developed based on current and past data, and they continue to be used without any update. This paper proposes the method of retraining of benchmarking models by applying machine learning techniques when new measurements are made available. The method uses as a case study the measurements of heating energy demand from two semi-detached houses of Northern Canada. The results of the prediction of heating energy demand using static or augmented window techniques are compared with measurements. The daily energy signature is used as a benchmarking model due to its simplicity and performance. However, the proposed retraining method can be applied to any form of benchmarking model. The method should be applied in all possible situations, and be an integral part of intelligent building automation and control systems (BACS) for the ongoing commissioning for building energy-related applications.


2018 ◽  
Vol 240 ◽  
pp. 02003 ◽  
Author(s):  
Marek Borowski ◽  
Marek Jaszczur ◽  
Daniel Satoła ◽  
Sławosz Kleszcz ◽  
Michał Karch

Heating, ventilation and air conditioning systems are responsible for a nearly 50% of total energy consumption in operated buildings. One of the most important parts of the ventilation system is an air handling unit with a heat exchanger for energy recovery which is responsible for effective and efficient energy recovery from exhaust air. Typically heat exchangers are characterised by the producers by heat and humidity recovery efficiency up to 90% and 75% respectively. But these very high values are usually evaluated under laboratory conditions without taking into account a dynamic change of outdoor and indoor air conditions significantly affecting the recovery efficiency. In this paper, results of thermal, humidity and enthalpy recover efficiency of innovative energy recovery exchanger have been presented. The analysed system allows adjustment of the humidity recovery especially useful in the winter period and forefends energy use for an anti-froze system of energy exchanger. Presented result show that analysed innovative system can achieve the value of thermal efficiency recovery higher than 90% and efficiency of humidity recovery about 80%. This is possible because the analysed system is able to work without the use of any primary source energy or other anti-freeze systems. Presented in this research unique solution is able to work without external anti-freeze systems even in extremely adverse outdoor air conditions such as minus 20°C and humidity 100% RH.


2019 ◽  
Vol 119 ◽  
pp. 00023
Author(s):  
Viviana Negro ◽  
Davide Mainero

Currently, ACEA utilises biogas obtained from the treatment of the organic fraction of municipal solid waste for thermal and electric energy recovery through endothermic engines (3 MW, in total). By 2020, the biogas produced at the site will no longer be used as a fuel for the combined heat and power units, but it is expected to feed a purification system in order to obtain a flow of biomethane to be injected into the natural gas network. This is part of the Italian strategy to achieve the Horizon 2020 European targets aimed at promoting the renewable production of transport fuels. In order to encourage sustainability and innovative prototype technologies, ACEA has also been involved in some European research projects, in particular for the conversion of biogas into other energy carriers. furthermore, ACEA ha recently built a flexible experimental platform that can used for the validation step of prototypes in an industrial field.


2019 ◽  
Vol 23 (Suppl. 4) ◽  
pp. 1175-1185 ◽  
Author(s):  
Marek Jaszczur ◽  
Marek Borowski ◽  
Daniel Satola ◽  
Slawosz Kleszcz ◽  
Michal Karch

In this work, thermal, humidity and enthalpy recover efficiency of innovative energy recovery exchanger is presented. The system under analysis allows adjustment of the humidity recovery especially useful in the winter period and forefend energy use for an anti-froze system of energy exchanger. It is shown that the presented method can achieve the real value for humidity and thermal efficiency above 80% and 90%, respectively. Such high efficiency was possible to obtain because the proposed system does not require energy consuming anti-freeze systems. The presented system is able to work even in extremely adverse outdoor air conditions (-20?C and humidity 100%).


2021 ◽  
Author(s):  
Jun Long Zhang

The feasibility of a novel total energy recovery ventilator (HERV) was studied, through the use of an Excel-based screening tool developed for cost analysis, and through TRNSYS simulations for performance analysis. Cost analysis indicated that the HERV almost always outperformed the conventional systems, whereas its attractiveness could be limited by its high capital investment. Simulation results indicated that the counter-flow HERV provided better control of house humidity towards the setpoint, in the meantime, minimized the annual energy use. The performance of heat recovery (HRV) and energy recovery (ERV) ventilators was investigated side-by-side at the Archetype Sustainable Twins-House located in Toronto, Canada. The ERV sensible efficiency ranged from 76.4% to78.5% at an outdoor temperature of -20°C and 5°C respectively, while the HRV efficiency ranged from 91.0% to 95.0% at -16.6°C and 0.7°C respectively. Freezing caused a dramatic drop in the efficiency that was found to be as low as 50%.


2021 ◽  
Author(s):  
Jun Long Zhang

The feasibility of a novel total energy recovery ventilator (HERV) was studied, through the use of an Excel-based screening tool developed for cost analysis, and through TRNSYS simulations for performance analysis. Cost analysis indicated that the HERV almost always outperformed the conventional systems, whereas its attractiveness could be limited by its high capital investment. Simulation results indicated that the counter-flow HERV provided better control of house humidity towards the setpoint, in the meantime, minimized the annual energy use. The performance of heat recovery (HRV) and energy recovery (ERV) ventilators was investigated side-by-side at the Archetype Sustainable Twins-House located in Toronto, Canada. The ERV sensible efficiency ranged from 76.4% to78.5% at an outdoor temperature of -20°C and 5°C respectively, while the HRV efficiency ranged from 91.0% to 95.0% at -16.6°C and 0.7°C respectively. Freezing caused a dramatic drop in the efficiency that was found to be as low as 50%.


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