| 1. |
- Inayat, A., et al.
(författare)
-
Parametric Study for Production of Dimethyl Ether (DME) As a Fuel from Palm Wastes
- 2017
-
Ingår i: Energy Procedia. - Amsterdam, Netherlands : Elsevier Ltd. - 1876-6102. ; , s. 1242-1249
-
Konferensbidrag (refereegranskat)abstract
- Dimethyl Ether (DME) has been getting numerous attention as it's potential as the second generation bio-fuel. Traditionally DME is produced from the petroleum based stock which involves two steps of synthesis (methanol synthesis from the syngas and DME synthesis from methanol). DME synthesis via single step is one of the promising methods that has been developed. In Malaysia, due to the abundance of oil palm waste, it is a good candidate to be used as a feedstock for DME production. In this paper, single step process of DME synthesis was simulated and investigated using the Aspen HYSYS. Empty Fruit Bunch (EFB) from palm wastes has been taken as the main feed stock for DME synthesis. Four parameters (temperature, pressure, steam/biomass ratio and oxygen/biomass ratio) have been studied on the H2/CO ratio and DME yield. The results showed that optimum H2/CO ratio of 1.0 has been obtained when having an oxygen to biomass ratio (O/B) of 0.37 and steam to biomass ratio (S/B) of 0.23. The increment in the steam to biomass ratio increased the production of DME while the increment in oxygen to biomass ratio will cause reduction in DME production. © 2017 The Authors.
|
|
| 2. |
- Tan, Yuting, et al.
(författare)
-
Study on utilization of waste heat in cement plant
- 2014
-
Ingår i: Energy Procedia. - : Elsevier BV. - 1876-6102. ; 61, s. 455-458
-
Konferensbidrag (refereegranskat)abstract
- This paper discusses three options for waste heat recovery in cement plant, they are dual-pressure power generation system, post-combustion capture system using MEA and the combined one. Model of power generation system was developed. Technical analysis was made from aspects of power generating capacity and CO2 capture ratio. In addition, economic evaluation was conducted to assess the performance of three systems targeting on higher Net Present Value (NPV). Variation of economic parameters were considered like carbon credit (10-90$/ton) and price of electricity (0.06-0.18$/kWh). Optimal option can be selected for waste heat utilization based on economic evaluation results in this paper.
|
|
| 3. |
- Ulfat, Intikhab, 1966, et al.
(författare)
-
Estimation of solar energy potential for Islamabad, Pakistan
- 2012
-
Ingår i: Energy Procedia. - : Elsevier. - 1876-6102. ; 18, s. 1496-1500
-
Konferensbidrag (refereegranskat)abstract
- In order to design a solar energy system with optimized performance a thorough knowledge of solar radiation data for a considerably long period (20-25 years) is a pre-requisite. For developing countries like Pakistan, the need of empirical models to assess the feasibility of solar energy utilization seems inevitable due to the absence and scarcity of trustworthy solar radiation data. We present such models for the capital city of Pakistan, Islamabad to estimate global and diffuse solar radiation. It is found that with the exception of monsoon month, solar energy can be utilized very efficiently throughout the year. The models suggested could be used for most of the north-eastern areas of Pakistan, which are similar to Islamabad with respect to the climate and the availability of solar radiation but lack in the record of solar radiation data.
|
|
| 4. |
- Ulfat, Intikhab, et al.
(författare)
-
Estimation of Solar Energy Potential for Islamabad, Pakistan
- 2012
-
Ingår i: Energy Procedia. - 1876-6102. ; 18, s. 1496-1500
-
Tidskriftsartikel (populärvet., debatt m.m.)abstract
- In order to design a solar energy system with optimized performance a through knowledge of solar radiation data for a considerably long period (20-25 years) is a pre-requisite. For developing countries like Pakistan, the need of empirical models to assess the feasibility of solar energy utilization seems inevitable due to the absence and scarcity of trust-worthy solar radiation data. We present such models for the capital city of Pakistan, Islamabad to estimate global and diffuse solar radiation. It is found that with the exception of monsoon month, solar energy can be utilized very efficiently throughout the year. The models suggested could be used for most of the north-eastern areas of Pakistan, which are similar to Islamabad with respect to the climate and the availability of solar radiation but lack in the record of solar radiation data.
|
|
| 5. |
- Abdul Hamid, A., et al.
(författare)
-
Moisture supply Set Point for avoidance of moisture damage in Swedish multifamily houses
- 2015
-
Ingår i: Energy Procedia. - : Elsevier BV. - 1876-6102. ; 78, s. 901-906
-
Tidskriftsartikel (refereegranskat)abstract
- From 1950 until 1975 approximately 1.3 million apartments were built in Sweden. Now, a considerable part of these are in need of renovation. This paper is part of an evaluation of a new DCV system developed especially for the renovation of these houses. The DCV automatically regulates the air change rate for each dwelling based on measurements of the indoor air. One of the measured parameters is the moisture supply. Simply put, the ventilation rate increases when the measured moisture supply exceeds the set point based on a PI-controller. In this paper, simulations have been carried out to determine an appropriate set point for the moisture supply for avoidance of moisture damage on biological building materials. A worst case scenario has been considered - and the general maximal set point is recommended to be 3 g/m3.
|
|
| 6. |
- Adl-Zarrabi, Bijan, 1959
(författare)
-
What is 'Infrastructure Physics'?
- 2017
-
Ingår i: Energy Procedia. - : Elsevier BV. - 1876-6102. ; 132, s. 520-524
-
Konferensbidrag (refereegranskat)abstract
- Since 2014, the research group 'Infrastructure Physics' sits at the department of Civil and Environmental Engineering, Chalmers University of Technology. A number of researchers wonder 'What is infrastructure physics?' The aim of the paper is to explain and clarify the research field 'infrastructure physics' and its system boundary with other close research fields, such as building physics. Furthermore, some ongoing research projects will be presented briefly. Infrastructure consists of the basic physical systems of a society e.g. transportation, communication, sewage, water and electric systems. Physical infrastructure elements are always exposed to outdoor climate e.g. solar radiation, rain, driving rain, wind, and moisture and temperature variations. The harsh environment around the infrastructure causes different types of destructions that can reduce the function ability in the short time perspective and also reduce the service life time of an infrastructure. Furthermore, extreme weather conditions may cause undesired service interruptions of a system e.g. traffic stop due to flooding. Generally, infrastructure involves a heavy investment for the society which needs also maintenance under long period of time. In other to make the investment more efficient, it is possible to use our infrastructure for other proposes in addition to the initial proposes. For instance, energy harvesting in the vicinity of transport infrastructure. 'Infrastructure physics' deals with physics behind the phenomena related to physical behaviour of the materials, components and systems involved in infrastructure, in their specific environmental condition (underground, subsea, surface) in order to increase their accessibility and efficiency.
|
|
| 7. |
- Ahlgren, Fredrik, 1980-, et al.
(författare)
-
Predicting dynamic fuel oil consumption on ships with automated machine learning
- 2019
-
Ingår i: Innovative Solutions for Energy Transitions. - : Elsevier. ; 158, s. 6126-6131
-
Konferensbidrag (refereegranskat)abstract
- This study demonstrates a method for predicting the dynamic fuel consumption on board ships using automated machine learning algorithms, fed only with data for larger time intervals from 12 hours up to 96 hours. The machine learning algorithm trained on dynamic data from shorter time intervals of the engine features together with longer time interval data for the fuel consumption. To give the operator and ship owner real-time energy efficiency statistics, it is essential to be able to predict the dynamic fuel oil consumption. The conventional approach to getting these data is by installing additional mass flow meters, but these come with added cost and complexity. In this study, we propose a machine learning approach using auto machine learning optimisation, with already available data from the machinery logging system.
|
|
| 8. |
|
|
| 9. |
- Ahmed, Mobyen Uddin, Dr, 1976-, et al.
(författare)
-
A machine learning approach for biomass characterization
- 2019
-
Ingår i: Energy Procedia. - : Elsevier Ltd. - 1876-6102. ; , s. 1279-1287
-
Konferensbidrag (refereegranskat)abstract
- The aim of this work is to apply and evaluate different chemometric approaches employing several machine learning techniques in order to characterize the moisture content in biomass from data obtained by Near Infrared (NIR) spectroscopy. The approaches include three main parts: a) data pre-processing, b) wavelength selection and c) development of a regression model enabling moisture content measurement. Standard Normal Variate (SNV), Multiplicative Scatter Correction and Savitzky-Golay first (SG1) and second (SG2) derivatives and its combinations were applied for data pre-processing. Genetic algorithm (GA) and iterative PLS (iPLS) were used for wavelength selection. Artificial Neural Network (ANN), Gaussian Process Regression (GPR), Support Vector Regression (SVR) and traditional Partial Least Squares (PLS) regression, were employed as machine learning regression methods. Results shows that SNV combined with SG1 first derivative performs the best in data pre-processing. The GA is the most effective methods for variable selection and GPR achieved a high accuracy in regression modeling while having low demands on computation time. Overall, the machine learning techniques demonstrate a great potential to be used in future NIR spectroscopy applications. © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy.
|
|
| 10. |
- Aichmayer, Lukas, et al.
(författare)
-
Thermoeconomic Analysis of a Solar Dish Micro Gas-Turbine Combined-Cycle Power Plant
- 2015
-
Ingår i: Energy Procedia 69. - : Elsevier. - 1876-6102. ; , s. 1089-1099
-
Konferensbidrag (refereegranskat)abstract
- A novel solar power plant concept is presented, based on the use of a coupled network of hybrid solar-dish micro gas-turbines, driving a centralized heat recovery steam generator and steam-cycle, thereby seeking to combine the high efficiency of the solar dish collector with a combined-cycle power block. A 150 MWe solar power plant was designed based on this concept and compared with both a conventional combined-cycle power plant and a hybrid solar-tower combined-cycle. The solar dish combined-cycle power plant could reach higher levels of solar integration than other concepts but was shown to be more expensive with current technology; solar electricity costs are double those of the hybrid solar-tower combined cycle.
|
|
