Recovering waste heat from diesel generator exhaust; an opportunity for combined heat and power generation in remote Canadian mines

Baidya, Durjoy; Brito, Marco Antonio Rodrigues de; Sasmito, Agus P.; Scoble, Malcolm J.; Ghoreishi‐Madiseh, Seyed Ali

doi:10.1016/j.jclepro.2019.03.340

Cited by 38 publications

(17 citation statements)

References 39 publications

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“…It was shown that the type of asphalt structure significantly reduces truck energy consumption. In the study of Baidya et al (2019), the feasibility of recovering heat lost from diesel engine’s output flows was investigated by identifying the amount of fuel consumption and thermal energy available in the exhaust to reduce energy costs. Terblanche et al (2019) examined whether a truck fleet with a conventional energy recovery system could reduce the total cost of haulage operations over the life of a mine compared to a truck without an energy recovery system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The fuel consumption depends on the number of machines and their type and operation. For example, machines and equipment such as loaders, bulldozers (Liu and Kozan, 2017; Baidya et al , 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The number of people working in the mine is another factor affecting the amount of fuel consumed in the mine (Zhang et al , 2018; Terblanche et al , 2019; Baidya et al , 2019; Liu and Kozan, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

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Fuel consumption in mining industry using partial least squares structural equation modeling approach

Attari

Miandoab

Ejlali

et al. 2021

IJESM

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Purpose Consumption of fossil fuels due to their non-renewability has always been one of the fundamental problems among energy-related issues. Major dependence of mining equipment and activities on energy, fuel and adequate fuel allocation has become of great importance in fuel consumption of mines. Therefore, this study aims to propose a model for optimal fuel allocation for mining industry. Design/methodology/approach In this study, partial least squares structural equation modeling (PLS-SEM), as one of the well-known statistical methods, is used to model and analyze fuel consumption pattern in mine industry. Findings To show the applicability of the proposed model, the study investigates the model for a real mine in Iran. In this regard, real data of important factors affecting mine fuel consumption are collected. Results of statistical models construct a general formula to calculate the fuel consumption based on three main variables. Originality/value Policymaking is one of the important tasks in energy-related organizations. One of the main sectors that uses noticeable amount of fossil fuels is mining industry. Despite the government subsidy for mining in Iran, there is a significant price difference between the price of allocated fuel for mine and the price of the same fuel in the open market. Therefore, this study implements PLS-SEM approach to formulate the fuel consumption pattern under all possible fuel consumption indicators to enable policymakers to make reliable decision for future purposes.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Fuel consumption in mining industry using partial least squares structural equation modeling approach

Attari

Miandoab

Ejlali

et al. 2021

IJESM

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“…Such gensets have a relatively low thermal efficiency of about 35% [3]. While about 65% of the generated heat is rejected to the ambient as waste heat [4], 25%, 33%, and 7% is wasted in the coolant, exhaust gas, and friction, respectively [5].…”

Section: Introductionmentioning

confidence: 99%

Energy and exergy analysis of combined cooling and power system using variable mode adsorption chiller

Alsarayreh¹,

Al-Maaitah²,

Attarakih

et al. 2021

E3S Web Conf.

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Adsorption cooling is a promising technology to recover low-temperature waste heat from a diesel genset. In this paper, an advanced adsorption chiller working in variable mode is proposed for the combined cooling and power cycle (CCP) to recover waste heat from the water jacket in the diesel genset. The chiller works on three modes based on the ambient temperature for better heat utilization. In this study, three modes were investigated: single-stage cycle mode, short-duration, and medium-duration mass recovery modes. The results show that the energy and exergy efficiency for a single-stage cycle mode is higher at an ambient temperature lower than 35 °C . In comparison, the mass recovery mode has a higher energy and exergy efficiency at an ambient temperature higher than 35 °C. The annual energy and exergy efficiency for the CCP was investigated when the chiller works with variable modes based on the ambient temperature under DUBAI weather conditions as a case study. The results show an improvement of 14.7% and 14% of the energy and exergy efficiency, respectively, for CCP with a variable mode adsorption chiller compared to diesel genset alone. The results also show the CCP with variable mode adsorption chiller has a slight improvement on both energy and exergy efficiency compared to CCP with a single-stage adsorption chiller at the same ambient conditions.

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“…Baidya et al [37] described the implementation of ORC for waste heat recovery of Diesel generators in off-the-grid locations. Chatzopoulou et al [38] performed a whole system optimization of an integrated Diesel generator and ORC for combined heat and power, and then investigated the off-design conditions with varying conditions of the engine [39].…”

Section: Orc For Ic Engine Whrmentioning

confidence: 99%

Designing the dynamic response of Organic Rankine Cycle evaporators in waste heat recovery applications

Jiménez-Arreola¹

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Recovering waste heat from diesel generator exhaust; an opportunity for combined heat and power generation in remote Canadian mines

Cited by 38 publications

References 39 publications

Fuel consumption in mining industry using partial least squares structural equation modeling approach

Fuel consumption in mining industry using partial least squares structural equation modeling approach

Energy and exergy analysis of combined cooling and power system using variable mode adsorption chiller

Designing the dynamic response of Organic Rankine Cycle evaporators in waste heat recovery applications

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