Special Issue "Advances in Theoretical and Computational Energy Optimization Processes"
Deadline for manuscript submissions: 31 July 2019
Prof. Dr. Ferdinando Salata
Department of Astronautics, Electrical and Energetics Engineering, University of Rome “Sapienza”, 00184 Rome, Italy
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Interests: energy efficiency; thermodynamics; heat transmission; buildings physics; human thermal comfort; urban microclimate; computational optimization; lighting systems; environmental acoustics
Prof. Dr. Iacopo Golasi
Industry, construction and transport are the three sectors that traditionally lead to the highest energy requirements. This is why over the past few years all the involved stakeholders have widely expressed the necessity of introducing a new approach to the analysis and management of those energy processes characterizing the aforementioned sectors. The objective is to guide production and energy processes to an approach aimed at energy savings and a decrease in the environmental impact. Indeed, all the ecosystems are stressed by obsolete production schemes deriving from an unsustainable paradigm of constant growth and related to the hypothesis of an environment able to absorb and accept all the anthropogenic changes.
Leading the production processes of industry, construction and transport to a revision of their energy requirements is necessary and research activity is called to carry out its natural innovative function.
The industrial sector is in full transition and transformation towards its version 4.0 and is therefore called to review its management and supply costs of energy and raw materials to limit the environmental impact. Research activity must support best practices in energy management and encourage the reduction of greenhouse gas emissions. The construction sector should apply retrofit solutions able to increase energy efficiency, taking into account the environment and climate change at the same time. The transport sector is moving towards a new mobility with respect to the past, thanks to the transition from fossil fuels to electrification and the use of artificial intelligence, thus increasing the level of automation. In this context of great attention towards a sustainable and respectful future for the planet, the study and the diffusion of the results provided by the scientific community concerning the most recent progress in energy optimization is expected to play a key role.
With the aim of proposing the next generation of energy processes and leading to positive implications for the environment, climate and sustainability, this Special Issue "Advances in Theoretical and Computational Energy Optimization Processes" aims to collect sophisticated contributions on all these aspects, highlighting the current state of the art with respect to the results of the main research groups. Studies on energy processes, production methods and innovative mechanisms related to research based on computational optimization methods are all invited to be a part of this scientific collection. This Special Issue also wants to encourage a debate on the future scenarios in each of those sectors currently characterized by significant energy requirements.
Thanks and we hope you will consider participating in this Special Issue.
Sincerely,Prof. Dr. Ferdinando Salata
Prof. Dr. Iacopo Golasi
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1100 CHF (Swiss Francs). Please note that for papers submitted after 30 June 2019 an APC of 1200 CHF applies. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Energy efficiency
- Modelling and simulations
- Complex systems analysis
- Computational tools
- Artificial intelligence
- Optimized design
- Process systems engineering
- Industrial processes
- Buildings energy systems
- Transport infrastructures
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Abstract: Pakistan for long is relying on fossil fuels for electricity generation. It is despite the fact that country has an enormous renewable energy resources which can significantly diversify the fuel
mix for electricity generation. In this study, various renewable resources of Pakistan; solar, hydro, biomass and wind are analyzed by using integrated Delphi, Analytical Hierarchy Process (AHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution techniques (F-TOPSIS) methodologies. In the first phase, Delphi method was employed to define and select the most important criteria for the selection of renewable energy resources. The Delphi analysis identified 4 main criteria, i.e., economic, environmental, technical, and socio-political aspects which are further supplemented by 20 sub-criteria. AHP is employed later to obtain the weights of each criteria and sub-criteria of the decision model. Finally, the Fuzzy TOPSIS is used to prioritize the 4 renewable energy resources of Pakistan. The results of this study reveal wind energy as the most feasible renewable energy resource for electricity generation followed by hydropower, solar and biomass energy. Moreover, the sensitivity analysis reveals that results are significant, reliable and robust. The study provides important insights pertaining prioritizing the renewable energy resources for the electricity generation and can be used to undertake policy decisions towards sustainable energy planning in Pakistan.
Keywords: Renewable energy resources; Delphi; AHP; Fuzzy TOPSIS; sensitivity analysis; sustainable energy planning.
2. Title: Power System Oscillation Improvement Using an Optimal Adaptive Intelligent Controller for STATCOM in a Series Compensated Wind Farm
Author: Dr. Lu
Abstract: This paper proposed a Static Synchronous Compensator (STATCOM) for use with a Self-Excited Induction Generator (SEIG)-based wind farm, which applies a damping controller that is based on an optimal adaptive intelligent controller (OAIC). The proposed OAIC consists of the critic network, the Functional Link based Elman Neural Network (FLENN) and Genetic Algorithm Hybrid Time Varying Particle Swarm Optimization (GAHTVPSO) algorithm. The SEIG-based series compensated wind farm system can improve the damping power system oscillations by a STATCOM using the proposed OAIC. The node connecting weights of the proposed FLENN and critic network are trained online by backpropagation (BP) algorithms. GAHTVPSO is used to adjust the learning rates in the BP algorithm to improve the learning ability of the neural network. Analysis of the performance of the proposed controller shows that it can achieve better damping characteristics. The internal power fluctuations to the power system can also be effectively alleviated under variable wind power generation conditions.
3. Title: Managing Energy plus Performance in Data Centers and Battery-based devices using the process of Online Non-clairvoyant Speed-bounded Multiprocessor Scheduling
Author: Dr. Khan
Abstract: An efficient scheduling reduces the time required to process the jobs, and energy management decreases the service cost as well as increases the lifetime of a battery. A balanced trade-off between the energy consumed and processing time gives an ideal objective for scheduling jobs in data centers and battery based devices. In this paper, an online multiprocessor scheduling Multiprocessor with Bounded Speed (MBS) is proposed. The objective of MBS is to minimize the importance-based flow time plus energy (IbFt+E), wherein the jobs arrive arbitrarily with arbitrary importance and the jobs’ sizes are known only at their completion time. Every processor can execute at a different speed, to reduce the energy consumption. MBS uses the tradition power function and bounded speed model. The functioning of MBS is evaluated by utilizing potential function analysis against an offline adversary. For processors m ≥ 2, MBS is O(1)-competitive. The working of a set of jobs is simulated to compare MBS with the best known non-clairvoyant scheduling. The comparative analysis shows that the MBS outperforms other algorithms. The competitiveness of MBS is the least to date.
4.Title: Reliability evaluation method in distribution network considering demand response of household electrical equipment
Author: Dr. Sun
Abstract: The load characteristic of the typical household electrical equipment is studied, and the electric vehicle (EV) loads and the air-conditioning loads are chosen as controllable loads. Considering the EV charging behavior and thermodynamic property of air-conditioning loads, the demand response (DR) models for two typical high-power electrical equipment are presented based on the electricity price and incentive mechanism separately, then the load curve considering two different kinds of DR mechanism is obtained. In order to enhance the computational accuracy of the reliability index, an improved fuzzy clustering algorithm is employed to cluster the annual load curves attained by different DR strategies. Besides, with the line capacity and the transfer capability constraints into consideration, the load shedding strategy is introduced and an improved reliability evaluation method for distributed networks taking insufficient power supply capacity and fault outage into consideration is proposed. Afterwards, the Monte Carlo method is employed to calculate the distribution network reliability index under different load levels. Besides, the impact of different DR strategies on the reliability of distribution networks is analyzed. The results show that the proposed DR strategies could greatly improve the distribution system reliability.
Keywords: demand response; household electrical equipment; time-of-use electricity price; incentive mechanism; capacity constraint; reliability evaluation
5. Title: Study of the isentropic efficiency of fluids refrigerants in scroll expander of an Organic Rankine Cycle
Author: Dr. Rios-Moreno
Abstract: According to the International Energy Agency (IEA), the main sources of energy worldwide come from oil, coal and natural gas. The industrial sector uses approximately one third of that energy in its production processes, with a significant loss of heat associated, which is normally wasted and not recovered. However, this residual heat, generated at low temperatures (between 70 and 100 ° C), and then discarded to the environment, has a tremendous potential to be reused in the generation of electrical energy. Research on new techniques applied to innovate the generation of energy using residual heat obtained by its thermal processes has been reported in the literature. The Organic Rankine Cycle systems (ORC) are technologies that allow residual heat to be used to heat up organics fluid, generating electrical energy with the help of a turbine. The thermodynamics behavior of fluids must be known before a selection and application in ORC plants can be implemented. The isentropic efficiency is an important parameter for the comparison of the working fluids, defined as the relation between the electric output power of the system and the ideal expansion power. This paper studies the behavior of the R245fa fluid in a scroll expander integrated to an ORC plant for the generation of electrical energy. SolidWorks Flow Simulation was performed and then compared to the actual performance of the system. The results show that the overall isentropic efficiency of the fluid in the prototype test for ORC in the generation of 1000 W was about 60%, a promising result for the generation of electrical energy using residual heat from the industry.
Keywords: Organic Rankine Cycle; organic fluid; scroll expander; isentropic efficiency; residual heat recovery; flow simulation.
Abstract: The population growth and the need for a better comfort require a greater energy consumption in cities. The solution should prompt to the use of renewable resources, such as wind. However, the fundamental challenge of the wind turbine for the generation of energy is how to obtain the maximum power in a wide range of wind speeds. This paper presents and optimized decision making process for the selection and installation of a wind turbine in an urban area with a statistically defined range of wind speeds. Dynamic models and simulations were made for a 14kW wind turbine installed at the Autonomous University of Querétaro (UAQ) campus, and the use of a pitch control that will turn the turbine at its nominal speed was also optimized. The results were obtained as a percentage of the use of the turbine according to the frequency of the wind speeds and an estimate of the annual generation.
Keywords: renewable resources; wind energy; generation of energy; wind turbine; urban area; pitch control
7. Title: Investigating dynamic impact of Renewable energy production on CO2 emissions and economic growth: Evidence from FMOLS and DOLS test
Author: Dr. Waris
Abstract: This paper investigates the dynamic relationship between renewable energy production, CO2 emission and economic growth over the period of 1995-2016 from a panel of seven ASEAN countries. The panel co-integration results reveal that sustainable renewable energy production, CO2 emissions, and economic growth are statistically significant for Malaysia, Vietnam, and Indonesia. Furthermore, the study also reveals the harmful impacts on the economic growth of Malaysia and Singapore owing to the increase in CO2 emissions. It is, therefore, recommended to undertake the pedagogical campaigns to accelerate the renewable energy usage in these high carbon emission countries for a more environmentally friendly and sustainable future. In order to decrease the reliance on fossil fuels, which impact the environment adversely, it is suggested that future research should consider and focus the principles of the circular economy and clean development mechanisms integrated with renewable energy technologies