Using lakes and rivers for extraction and disposal of heat: Estimate of regional potentials

Gaudard, Adrien; Wüest, Alfred; Schmid, Martin

doi:10.1016/j.renene.2018.10.095

Cited by 29 publications

(15 citation statements)

References 48 publications

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“…Analysis of the data and comparison with both radiometric and in situ observations at Buchillon showed that quality flags are not a sufficient measure to reliably quantify the accuracy of the AVHRR images but to improve the quality, avoiding errors (e.g., cloudcontaminated pixels). Indeed, we observed strong fluctuations of up to ±3 • C between skin and bulk temperature, especially during daytime when a micro-stratification establishes in the surface layer (Gentemann et al, 2003). Skin and bulk temperature becomes similar under windy or convective conditions.…”

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confidence: 76%

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

et al. 2020

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Abstract. The understanding of physical dynamics is crucial to provide scientifically credible information on lake ecosystem management. We show how the combination of in situ observations, remote sensing data, and three-dimensional hydrodynamic (3D) numerical simulations is capable of resolving various spatiotemporal scales involved in lake dynamics. This combination is achieved through data assimilation (DA) and uncertainty quantification. In this study, we develop a flexible framework by incorporating DA into 3D hydrodynamic lake models. Using an ensemble Kalman filter, our approach accounts for model and observational uncertainties. We demonstrate the framework by assimilating in situ and satellite remote sensing temperature data into a 3D hydrodynamic model of Lake Geneva. Results show that DA effectively improves model performance over a broad range of spatiotemporal scales and physical processes. Overall, temperature errors have been reduced by 54 %. With a localization scheme, an ensemble size of 20 members is found to be sufficient to derive covariance matrices leading to satisfactory results. The entire framework has been developed with the goal of near-real-time operational systems (e.g., integration into meteolakes.ch).

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confidence: 76%

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

et al. 2020

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“…Both the warming trend and the increase in length of the stratified period increase the Schmid stability ( Figure 4e) and heat content ( Figure 4f). The increase of Lake Brienz heat content amounts to ~2•10 16 J over 38 years, which corresponds to roughly two thirds of the heat extraction potential for this lake (Gaudard et al, 2019). Contrarily to the above-described variables, no clear trend was detectable in the yearly maximum stratification strength (Brunt-Väisälä frequency, Figure 4d).…”

Section: Long-term Evolution Of the Thermal Structure Of Lakes Respomentioning

confidence: 91%

Toward an open-access of high-frequency lake modelling and statistics data for scientists and practitioners. The case of Swiss Lakes using Simstrat v2.1

Gaudard¹,

Vinnå²,

Bärenbold³

et al. 2019

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Abstract. One-dimensional hydrodynamic lake models are nowadays widely recognized as key tools. They offer the possibility to study processes at high frequency, here referring to hourly time scale, to analyse scenarios and test hypothesizes. Yet, simulation outputs are mainly used by the modellers themselves and often not easily reachable for the outside community. We have developed an openly accessible web-based platform for visualization and promotion of easy access to lake model output data updated in near real time (https://simstrat.eawag.ch/). This platform was developed for 54 lakes in Switzerland with potential for adaptation to other regional areas or even at global worldwide scale using appropriate forcing input data. The benefit of this data platform is here practically illustrated with two examples. First we show that the output data allows for assessing the long term effects of past climate change on the thermal structure of a lake. In the second case, we demonstrate how the data platform can be used to study and compare the role of episodic strong wind events for different lakes on a regional scale and especially how they temporary destabilize their thermal structure. With this open access data platform we demonstrate the path forward for scientists and practitioners promoting a cross-exchange of expertise through openly sharing of in-situ and model data.

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“…The Darcy friction factor (f D ) in Equation (1) can be obtained from the Reynolds number and the surface roughness (e) divided by the hydraulic pipe diameter (d) shown in Equations (4)- (6), which is known as the Churchill relation [29]. (6) where Re (-) is the Reynolds number, which is a function of the fluid properties as follows,…”

Section: Of 16mentioning

confidence: 99%

“…However, it has a burden of legislative permits and costs for lake water extraction and returning and risks of freezing, corrosion, and biofouling, which can obstruct the stable operation of the system [2][3][4][5]. In particular, the discharge of water used for the operation of the open-loop system can affect the physical properties and the ecological conditions of lakes [2,5,6]. Comparing the open-loop system to the closed-loop LWHP system may have relatively low efficiency and a concern for leakage of a heat-carrier fluid due to accidental pipe failure [7].…”

Section: Introductionmentioning

confidence: 99%

“…Above all, lakes have their own temperature profiles depending on local weather conditions and depth profiles of the lakes. To plan the installation and operation of an LWHP system, therefore, it is essential to monitor the long-term temperature profiles of the lake [2,6]. In practice, however, the long-term temperature measurement data in lakes are scarce and, as a result, there are few studies on the application of the LWHP system based on the long-term temperature measurement in lakes.At present, the use of the SWHP system is limited, but it is expected to increase significantly due to the new renewable energy policy of the Korean government.…”

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confidence: 99%

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Numerical Simulations on the Application of a Closed-Loop Lake Water Heat Pump System in the Lake Soyang, Korea

Park

Lee

2020

Energies

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A lake is one of the geothermal energy sources to meet increasing demands for renewable energy use. In this study, a series of numerical modeling was performed to evaluate the applicability of a close-loop lake water heat pump (LWHP) system in Lake Soyang, Korea. A non-isothermal pipe flow model was used to simulate the flow and heat transfer processes occurring in the LWHP system with the main pipe and several helical tubes for heat exchange. Based on the temperature data measured in the Lake Soyang for 4 years, the installation depth and the number of helical tubes were determined sequentially, and the sensitivities of additional installation and operation factors on the system performance were analyzed. Assuming a mild current in the lake, the installation and operation conditions for the efficient operation of the system were suggested as follows: The installation of 16 helical tubes at 50 m deep, the circulation rates of heat-carrier fluid of 189.3 L/min, the inner diameter of tubes of 32 mm, and the wall thickness and thermal conductivity of 2.9 mm and 0.4 W/mK, respectively. Considering many lakes and reservoirs in Korea, the closed-loop LWHP system would be a viable renewable energy application.Energies 2020, 13, 762 2 of 16 at a planning stage [7][8][9][10][11][12]. Above all, because the performance of the closed-loop system depends on the heat transfer efficiency of the system itself [5], it may not be necessary to characterize the dynamics of lake water in detail. If an antifreeze solution can be used as the heat-carrier fluid, the closed-loop LWHP system enables heating operation in cold climates [8].There have been several studies about the operation of the closed-loop LWHP system. Actually, the LWHP system is a type of surface water heat pump (SWHP) system, and, therefore, most of its features and operation are similar to those of the SWHP systems using various water bodies, such as pond, lagoon, river, seawater, and even wastewater. Chiasson et al. [13] demonstrated a model to simulate the heat transfer performance of a shallow pond considered as a supplemental heat reject of the closed-loop ground source heat pump system. Büyükalaca et al. [14] investigated the potential of the Seyhan River and the dam lake as the heat source and sink for the application of the LWHP system in Turkey. Morton [3] investigated the feasibility of a reservoir as a heat source for the LWHP system application on a university building in the UK. Schibuola and Scarpa [15] showed the case study on the SWHP system using lagoon water as an alternative for space heating and cooling of a historic building in Venice, Italy, where groundwater source cooling and heating is restricted. Zheng et al. [16,17] presented numerical and experimental investigations of the thermal characteristics of a helical coil exchanger for a seawater heat pump system under icy and non-icy conditions in winter. Kuyuk et al.[18] suggested a cooling system using cold water from the hypolimnion of a deep lake for air conditioning of an underground mine i...

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Using lakes and rivers for extraction and disposal of heat: Estimate of regional potentials

Abstract: Using lakes and rivers for extraction and disposal of heat: estimate of regional potentials. Renewable Energy.

Cited by 29 publications

References 48 publications

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Toward an open-access of high-frequency lake modelling and statistics data for scientists and practitioners. The case of Swiss Lakes using Simstrat v2.1

Numerical Simulations on the Application of a Closed-Loop Lake Water Heat Pump System in the Lake Soyang, Korea

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