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Optimization and Control of Energy Systems Planning with Environmental Considerations and Carbon Capture and Sequestration

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 6585

Special Issue Editors


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Guest Editor
Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
Interests: carbon capture and storage (CCS); process systems engineering; energy planning; optimization and control; process simulation

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Guest Editor
Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
Interests: energy and environmental engineering systems; air pollution modeling, simulation anenergy and environmental engineering systems; air pollution modeling; planning and optimization; sustainable development of the petrochemical industry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The purpose of this Special Issue is to provide an opportunity for researchers to present new solutions to one of the grand challenges of this century: supplying energy to a growing population in an environmentally and economically sustainable way. Since no single technology can meet this ultimate energy challenge of the future on its own, papers that use a systems approach that can provide insight and data on how viable an energy production pathway can be are particularly encouraged. A diverse number of energy sources can be taken into account, including biomass, hydroelectric, wind, solar, natural gas, coal, and nuclear energy. The goal of this Special Issue is to present optimal solutions and control strategies that effectively account for sustainability and lower greenhouse gas emissions, while meeting growing energy demands. This Special Issue will particularly include modeling frameworks that deal with multiregion multitechnology decisions that are based upon a bottom–up view of industrial activities and a top–down view of energy and other product demands while at the same time addressing the long-term planning problem for the development of such an integrated system and implicitly incorporating economic and sustainability considerations.

One of the side effects of using (essentially burning) fossil fuels is the production of GHGs (greenhouse gases), the most abundant of which is carbon dioxide. While the effects of so-called ‘Global Warming’ are now being felt (an overall increase in the Earth’s temperature, an increase in severe weather), the emissions of carbon dioxide continue to increase for two main reasons: (a) the increase in the use of fossil fuels to fuel economic expansion and (b) little or no reduction in the emissions from existing emitters. Furthermore, it is expected that fossil fuels will continue to provide a source of relatively low-cost fuel for generations to come. This Special Issue welcomes research and policy discussions to find ways to reduce GHG (particularly CO2) emissions.

Carbon capture and storage (CCS) has attracted significant attention worldwide because it is the only method that can be used in conjunction with fossil fuel plants to significantly reduce the emissions of GHG. Papers that focus on CCS aspects are also welcome. These can include: process design (e.g., solvent absorption, oxyfuel combustion, adsorption, use of membranes), process improvement (e.g., search for better solvents and or adsorbents), better understanding of the storage process, and papers that focus on the systems aspects of carbon capture and storage, in particular, the dynamic interactions between the CCS process and the CO2 source process (e.g., the power plant).

Prof. Dr. Peter L Douglas
Prof. Dr. Ali Elkamel
Guest Editors

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 submissions that pass pre-check are 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. Energies is an international peer-reviewed open access semimonthly 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 2600 CHF (Swiss Francs). 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.

Keywords

  • energy planning
  • mathematical programming
  • stochastic optimization
  • carbon capture and storage (CCS)
  • flexible operation
  • optimization
  • fossil fuels
  • renewable energy
  • dynamic modeling
  • advanced process control
  • scheduling
  • environmental impacts
  • electricity generation

Published Papers (2 papers)

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37 pages, 9540 KiB  
Article
Optimal Selection of Integrated Electricity Generation Systems for the Power Sector with Low Greenhouse Gas (GHG) Emissions
by Adeel Arif, Muhammad Rizwan, Ali Elkamel, Luqman Hakeem and Muhammad Zaman
Energies 2020, 13(17), 4571; https://doi.org/10.3390/en13174571 - 03 Sep 2020
Cited by 7 | Viewed by 2882
Abstract
Cheap and clean energy demand is continuously increasing due to economic growth and industrialization. The energy sectors of several countries still employ fossil fuels for power production and there is a concern of associated emissions of greenhouse gases (GHG). On the other hand, [...] Read more.
Cheap and clean energy demand is continuously increasing due to economic growth and industrialization. The energy sectors of several countries still employ fossil fuels for power production and there is a concern of associated emissions of greenhouse gases (GHG). On the other hand, environmental regulations are becoming more stringent, and resultant emissions need to be mitigated. Therefore, optimal energy policies considering economic resources and environmentally friendly pathways for electricity generation are essential. The objective of this paper is to develop a comprehensive model to optimize the power sector. For this purpose, a multi-period mixed integer programming (MPMIP) model was developed in a General Algebraic Modeling System (GAMS) to minimize the cost of electricity and reduce carbon dioxide (CO2) emissions. Various CO2 mitigation strategies such as fuel balancing and carbon capture and sequestration (CCS) were employed. The model was tested on a case study from Pakistan for a period of 13 years from 2018 to 2030. All types of power plants were considered that are available and to be installed from 2018 to 2030. Moreover, capacity expansion was also considered where needed. Fuel balancing was found to be the most suitable and promising option for CO2 mitigation as up to 40% CO2 mitigation can be achieved by the year 2030 starting from 4% in 2018 for all scenarios without increase in the cost of electricity (COE). CO2 mitigation higher than 40% by the year 2030 can also be realized but the number of new proposed power plants was much higher beyond this target, which resulted in increased COE. Implementation of carbon capture and sequestration (CCS) on new power plants also reduced the CO2 emissions considerably with an increase in COE of up to 15%. Full article
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20 pages, 380 KiB  
Article
Optimal Inventory Control Strategies for Deteriorating Items with a General Time-Varying Demand under Carbon Emission Regulations
by Chunming Xu, Xiaojie Liu, Chenchen Wu and Baiyun Yuan
Energies 2020, 13(4), 999; https://doi.org/10.3390/en13040999 - 23 Feb 2020
Cited by 19 | Viewed by 2887
Abstract
Climate warming nowadays has caused people to increasingly enhance public awareness about carbon emissions from industries. In the storing industry, inventory management for deteriorating items is crucial in the business competition. To slow down the deterioration and ensure the quality of products, the [...] Read more.
Climate warming nowadays has caused people to increasingly enhance public awareness about carbon emissions from industries. In the storing industry, inventory management for deteriorating items is crucial in the business competition. To slow down the deterioration and ensure the quality of products, the items are usually stored in certain temperature-controlled environment. However, a lot of carbon emissions of the inventory system are caused by these warehousing activities. In a finite panning period, this paper studies a continuous review inventory system and proposes inventory models to analyze the impacts of carbon emissions on inventory system for deteriorating items with a general time-varying demand, in which shortages are allowed, and the customer demand during shortage period is partially backlogged till the next replenishment. Under carbon emission regulations, the existence and uniqueness of the optimal solution to each model is explored and comparisons of optimality among the proposed models are given. Numerical examples and robust analysis of the models are presented to illustrate the applicability in practice. Some management insights about inventory policies and emission reduction strategies are obtained. Full article
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