Papers by Dries Haeseldonckx
The implementation of electric-vehicle charging infrastructure offers new opportunities and raise... more The implementation of electric-vehicle charging infrastructure offers new opportunities and raises a number of questions. To develop a sustainable electric-vehicle charging station renewable energy sources should be used. However, choices such as location and production and load profile have a large influence on the technical and economic aspects of the infrastructure. Hence, the decisions towards required capacity ratings of the renewable energy sources and energy storage becomes a complex task. In this paper, a model is developed to optimally size a hybrid renewable energy system consisting of solar panels, wind turbines, a combined heat and power (CHP) unit and batteries for storage. At any time, this system should be able to meet the electricity demand of the vehicles. The problem is mathematically described as a linear program, more specifically a mixed-integer approach is used. The objective function is to minimize the total life cycle cost of the system. The result is a model...
Latin American Applied Research - An international journal, 2019
In the present research, the energetic and environmental analysis of the lateritic ore drying pro... more In the present research, the energetic and environmental analysis of the lateritic ore drying process in a horizontal rotary kiln it carried out. It aims to assess the feasibility of the use of gases products of the ore reduction process in vertical furnaces. In addition, it is analyzed the energetic and environmental impact of the use of these gases as energy sources. In order to meet the objectives outlined, measurements were taken at the facility, obtaining the main operating parameters. It was also applied the balance and energy methods to verify that the use of the waste gases brings to the process the 18 % of the energy required and reduces in a 26 % the fuel consumption.
Royal Belgian Academy Council of Applied Science, Apr 1, 2006
In this paper, a predictive tool for the energy consumption of wheat milling process using multip... more In this paper, a predictive tool for the energy consumption of wheat milling process using multiple linear regression and a new energy performance indicator (EnPI) is proposed. This EnPI does not only consider the production of flour but also the particle size of flour and added water for softening wheat. The results of the study, carried out in a wheat mill plant in Cuba, show a good coincidence between the predicted and real energy consumption for the developed model. It also demonstrates the effectiveness of EnPI proposed as a tool for management and energy savings in the company under study. Due to the complexity of the proposed model, for obtaining the baseline and estimating the energy saving potential, a probabilistic method was used. It was statistically demonstrated by the determination index (R2), that the new proposed model is superior to the conventional model of energy versus production.En este documento, se propone una herramienta predictiva para el consumo de energía ...
International Journal of Chemical Reactor Engineering, 2020
In a nickel-producing multiple hearth furnace, there is a problem associated to the automatic ope... more In a nickel-producing multiple hearth furnace, there is a problem associated to the automatic operation of the temperature control loops in two of the hearths, since the same flow of air is split into two branches. A neural model of the post-combustion sub-process is built and served to increase the process efficiency of the industrial furnace. Data was taken for a three-months operating time period to identify the main variables characterizing the process and a model of multilayer perceptron type is built. For the validation of this model, process data from a four-months operating time period in 2018 was used and prediction errors based on a measure of closeness in terms of a mean square error criterion measured through its weights for the temperature of two of the hearths (four and six) versus the air flow to these hearths. Based on a rigorous testing and analysis of the process, the model is capable of predicting the temperature of hearth four and six with errors of 0.6 and 0.3 °...
Energy, 2019
Abstract Energy management for manufacturing animal feed requires efficiency in the electric moto... more Abstract Energy management for manufacturing animal feed requires efficiency in the electric motors that actuate electro mechanisms consisting in chain conveyors (3548 kWh/day), elevators of buckets (2626 kWh/day), types axis non-end screw (298 kWh/day) and conveyor bands (434 kWh/day); all with different types of mechanical transmissions mainly reducers, chains and straps that as major consumers of electric energy represent the greatest potential savings. On the other hand, energy performance indicators are needed for assessing the production of feed and implementing an energy management system. In this paper a methodology is applied to determine the operating efficiencies of the electrical motors to the current load factors and adjusted to the actual operating conditions. The case study is a balanced animal feed manufacturing plant. The energy base line of the processes of higher energy consumption was obtained as well as energy performance indicators of 10 kWh/t for the same productive levels (500 t/day), representing a reduction of 364 000 kWh/year and, consequently, 15% of the entry recorded of energy costs. This result is equivalent to generation costs at 120 t of oil/year, which means a saving of 6000 USD/year and 140.14 t of CO2 equivalent that is no longer emitted.
Hotels are among the most energy intensive tourism facilities. To monitor and control the monthly... more Hotels are among the most energy intensive tourism facilities. To monitor and control the monthly and yearly energy consumption in hotels, different indicators have been proposed. These indicators, developed on yearly or annual basis, do not permit rapid detection and mitigation of malpractices and overconsumptions in hotel facilities. Moreover, these indicators do not consider the influence of physical parameters such as outdoor temperature, or, when they do, rather complex coefficients are used, precluding implementation in hotel facilities. This study discusses the use of Energy Performance Indicators to assess and control the electricity consumption in hotels. To this end a new indicator considering the outdoor temperature is introduced. Based on this indicator daily control graphs are developed, allowing a more rapid detection of overconsumptions and malpractices towards a higher electricity efficiency. One advantage of this approach is that no investments are required to imple...
International Journal of Contemporary Hospitality Management, 2015
International Journal of Energy Economics and Policy, 2018
In this paper, a predictive tool for the energy consumption of wheat milling process using multip... more In this paper, a predictive tool for the energy consumption of wheat milling process using multiple linear regression and a new energy performance indicator (EnPI) is proposed. This EnPI does not only consider the production of flour but also the particle size of flour and added water for softening wheat. The results of the study, carried out in a wheat mill plant in Cuba, show a good coincidence between the predicted and real energy consumption for the developed model. It also demonstrates the effectiveness of EnPI proposed as a tool for management and energy savings in the company under study. Due to the complexity of the proposed model, for obtaining the baseline and estimating the energy saving potential, a probabilistic method was used. It was statistically demonstrated by the determination index (R2), that the new proposed model is superior to the conventional model of energy versus production
International Journal of Precision Engineering and Manufacturing-Green Technology, 2019
The original version of this article unfortunately contains an error related to the number and po... more The original version of this article unfortunately contains an error related to the number and position of Table 2 and Table 3. The actual Table 2 is indeed the Table 3 and vice versa. These tables must be correctly renumbered and relocated for a better understanding of the paper.
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Papers by Dries Haeseldonckx