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<p>Transient energy simulation software TRNSYS is used to model and simulate the temperature of stormwater ponds and determine the relative importance of each energy-transfer mechanisms that affect the energy gains or losses of a pond. This model distinguishes itself from prior research by analyzing how runoff entering and connecting the pond to a heat exchanger (serving as a coolant) affects its temperature. The model was validated by comparing the predicted pond temperature with field data collected from a retention pond in Leamington, Ontario, Canada.&#xa0;The results indicate that the model’s average error in predicting the temperature of the pond relative to the observed values is 0.13&#xa0;°C. A sensitivity study has been conducted on the system to verify the impact of each parameter on the pond temperature.The air temperature, solar radiation, wind speed, relative humidity, pond surface area, rain temperature, and rain flow rate were considered in the sensitivity analysis. The sensitivity analysis showed that, among the investigated parameters, air temperature had the most significant effect on pond temperature. A 3&#xa0;°C increase in air temperature causes a 1.24&#xa0;°C increase in pond temperature. The magnitude of the energy transfer mechanisms was investigated. The results showed that the contribution of runoff and return flow from the heat exchanger had the least effect on changing the average temperature of the pond. In addition, solar gain and evaporation had the largest share of the energy received and lost from the pond with 50% and 25–30%, respectively.</p>

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Evaluating the effect of runoff on an agricultural retention stormwater pond temperature using an experimentally validated TRNSYS model

  • 期刊论文

  • 发表日期：

    2025年2月4日

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  • Sedigheh Khademi,
  • Rupp Carriveau,
  • David S.-K. Ting

摘要

Transient energy simulation software TRNSYS is used to model and simulate the temperature of stormwater ponds and determine the relative importance of each energy-transfer mechanisms that affect the energy gains or losses of a pond. This model distinguishes itself from prior research by analyzing how runoff entering and connecting the pond to a heat exchanger (serving as a coolant) affects its temperature. The model was validated by comparing the predicted pond temperature with field data collected from a retention pond in Leamington, Ontario, Canada. The results indicate that the model’s average error in predicting the temperature of the pond relative to the observed values is 0.13 °C. A sensitivity study has been conducted on the system to verify the impact of each parameter on the pond temperature.The air temperature, solar radiation, wind speed, relative humidity, pond surface area, rain temperature, and rain flow rate were considered in the sensitivity analysis. The sensitivity analysis showed that, among the investigated parameters, air temperature had the most significant effect on pond temperature. A 3 °C increase in air temperature causes a 1.24 °C increase in pond temperature. The magnitude of the energy transfer mechanisms was investigated. The results showed that the contribution of runoff and return flow from the heat exchanger had the least effect on changing the average temperature of the pond. In addition, solar gain and evaporation had the largest share of the energy received and lost from the pond with 50% and 25–30%, respectively.