Modeling and Control of a Parallel Waste Heat Recovery System for Euro-VI Heavy-Duty Diesel Engines

Feru, Emanuel; Willems, Frank; Jager, de Ag Bram; Steinbuch, M Maarten

doi:10.3390/en7106571

Cited by 58 publications

(34 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to maximize the output power, the evaporating temperature is usually considered as the most relevant controlled variable [15,16]. In [17], the modeling and control of a waste heat recovery system for a Euro-VI heavy-duty truck engine was achieved through the use of a switching model predictive control strategy to guarantee the safe operation of the WHR system and to maximize output power. Furthermore, in the automotive field, the problem of maximizing the power produced by an ORC waste heat recovery system on board a diesel-electric rail car is tackled using dynamic real-time optimization [18].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control

et al. 2016

View full text Add to dashboard Cite

Abstract:In this paper, the optimal operation of a stationary sub-critical 11 kW el organic Rankine cycle (ORC) unit for waste heat recovery (WHR) applications is investigated, both in terms of energy production and safety conditions. Simulation results of a validated dynamic model of the ORC power unit are used to derive a correlation for the evaporating temperature, which maximizes the power generation for a range of operating conditions. This idea is further extended using a perturbation-based extremum seeking (ES) algorithm to identify online the optimal evaporating temperature. Regarding safety conditions, we propose the use of the extended prediction self-adaptive control (EPSAC) approach to constrained model predictive control (MPC). Since it uses input/output models for prediction, it avoids the need for state estimators, making it a suitable tool for industrial applications. The performance of the proposed control strategy is compared to PID-like schemes. Results show that EPSAC-MPC is a more effective control strategy, as it allows a safer and more efficient operation of the ORC unit, as it can handle constraints in a natural way, operating close to the boundary conditions where power generation is maximized.

show abstract

Section: Introductionmentioning

confidence: 99%

Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Feru, E.; Willems, F.; Jager, B.; Steinbuch, M. [27] The article examined the technical and economic possibilities of heat recovery from agricultural machinery.…”

Section: Heat Recovery Area Aim Of Research Authormentioning

confidence: 99%

An Analysis of Waste Heat Recovery from Wastewater on Livestock and Agriculture Farms

2020

View full text Add to dashboard Cite

Agriculture is one of the sectors of the economy in which it is possible to conduct much more rational energy economy. The easiest way to achieve financial savings as well as reduce air pollution is to use waste heat sources. Heat pumps are perfect for this. Particularly favorable is the case when the device can operate in an alternative system and serve both heating and cooling purposes. The purpose of this article was to present possible solutions for installations enabling heat recovery from wastewater to supply agri-breeding farms with hot utility and technological water, a financial analysis of their application, and an assessment of the impact of these solutions on possible reduction of pollutant emissions. The tests were carried out for four variants of cooperation between a heat pump and an exchanger. In the first variant, waste heat was used in the process of heating water used to clean stands and prepare feed. In the second variant, waste heat took part in heating the water used for watering plants. In the third variant, waste heat was used in the process of drying cereals. In turn, in the last variant, waste heat supported the preparation of utility hot water for the breeder’s residential building. The study showed the legitimacy of using thermal energy from liquid manure as a waste heat source on farms and farming. This is mainly due to the short payback period, which can be within 2–4 years. In turn, the analysis of pollution reduction associated with the recovery of waste energy showed that the use of heat pumps allowed a significant reduction in the emission of harmful compounds to the atmosphere, in particular carbon dioxide. It is worth noting that livestock breeding is one of the most important branches of agricultural production not only in Poland but also throughout Europe, Asia and South and North America. For this reason, the use of waste heat-recovery systems enables real savings in the purchase of energy and reduction of pollutant emissions arising during traditional production processes.

show abstract

“…Modelling of the evaporator in the ORC WHR system has been addressed in several reports (2,3 evaporator outlet temperature T ev are considered to be the outputs of the model. The fuzzy-based evaporator model represents the nonlinearity of the system by a logical mapping of its input variables to the output variables.…”

Section: Fuzzy Based Evaporator Modelmentioning

confidence: 99%

Simulation of waste heat recovery system with fuzzy based evaporator model

Chowdhury

Soulatiantork

Nguyen

2017

2017 11th Asian Control Conference (ASCC)

View full text Add to dashboard Cite

Abstract-The organic Rankine cycle (ORC) is one of the promising waste heat recovery (WHR) technologies used to improve the thermal efficiency, reduce the emissions and save the fuel costs of internal combustion engines. In the ORC-WHR system, the evaporator is considered to be the most critical component as the heat transfer of this device influences the efficiency of the system. Although the conventional Finite Volume (FV) model can successfully capture the complex heat transfer process in the evaporator, the computation time for this model is high as it consists of many iterative loops. To reduce the computation time, a new evaporator model using the fuzzy inference technique is developed in this research. The developed fuzzy based model can predict the evaporator outputs with an accuracy of over 90% while it reduces the simulation time significantly. This model is then integrated with other components of the ORC to simulate a completed ORC-WHR system for internal combustion engines. The influence of operating parameters on the performance of the WHR system is investigated in this paper.

show abstract

Modeling and Control of a Parallel Waste Heat Recovery System for Euro-VI Heavy-Duty Diesel Engines

Cited by 58 publications

References 19 publications

Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control

Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control

An Analysis of Waste Heat Recovery from Wastewater on Livestock and Agriculture Farms

Simulation of waste heat recovery system with fuzzy based evaporator model

Contact Info

Product

Resources

About