Design and parameter optimization of community bins based on evaporative cooling

ABSTRACT

Aiming at the challenge of bad odors emanating from rotting perishable kitchen waste in summer within the garbage collection chain, the fan-pad system, which is widely used in agricultural facility systems, was applied to the design of community bins. In this regard, a community bin based on a fan-pad operating mechanism was developed. Computational fluid dynamics (CFD) was then used to numerically analyze the cooling effect of the community bin. Under conditions comprising of an outdoor temperature of 35 °C, an installation height of the wet curtain of the cooling system h₁, an installation height of the fan h₂, and varying distance d between the trash can and the wet curtain, and the average temperature T of 16 temperature measurement points was analyzed. Design-Expert software was used to design the Box-Behnken Design (BBD) experiment, and regression analysis was carried out. Under the optimized parameter combination, the average temperature T of the temperature measurement point was 24.82 °C by simulation. Through field test verification, it was established that the maximum relative error between the temperature of each measuring point and the simulation result was 1.54%, and the average temperature T fluctuated within the range of 0.5 °C of the simulation value.

Implications Statement: By creatively integrating the agricultural apparatus with our daily community bin, our research presents great interdisciplinary originality and potential in wide application. Meanwhile, our research also gives a new solution to saving the energy wasted by community dust room based on air conditioner cooling. We hold the believe that our research can arrest great attention of scholars, managers, and people interested in sanitation apparatus. Additionally, our research also provides more theoretical and technical support for the design and application of sanitation collecting apparatus

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The datasets generated during and/or analyzed during the current study are not publicly available due to privacy reasons, but are available from the corresponding author on reasonable request.

Additional information

Funding

This work was supported by the National Key R&D Program of China [grant number 2019YFC1906100].

Notes on contributors

Xueru Zhu

Xueru Zhu is a post-graduate student, mainly engaged in intelligent research and biomass conversion research.

Hua Li

Hua Li is a professor, doctoral supervisor, mainly engaged in precision planting and harvesting equipment and biomass conversion technology equipment research.

Jufei Wang

Jufei Wang is a post-graduate student, mainly engaged in biomass conversion research.

Samuel Mbugua Nyambura

Samuel Mbugua Nyambura is a post-graduate student, mainly engaged in biomass conversion research.

Jialiang Xu

Jialiang Xu is a post-graduate student, mainly engaged in biomass conversion research.

Bohong Li

Bohong Li is a post-graduate student, mainly engaged in intelligent research.