Special Issue "Energy Systems and Industrial Equipment (Optimal) Design under Uncertainty"
Deadline for manuscript submissions: 27 September 2021.
Interests: operations management; manufacturing systems; production engineering; optimization; resource optimization; logistic
Energy systems and their components often operate in variable conditions, and during their life cycle may also experience changing scenarios and requirements. Additionally, their performance is affected by random events, as well as the uncertainty of their internal parameters. Input factors, as happens for renewable energy sources, have an intrinsic and possibly random, variability. The same applies to sizing procedures and design methods, which are affected by the epistemic uncertainty of the underlying phenomena and use imprecise correlations. This may cause technical and economic performances different from the ones expected and the risk of failure to meet design specifications.
Some methods and rules of thumbs are adopted to manage variability but, in most cases, it is simply neglected by referring to nominal specifications based on average operating conditions, and by assuming that mathematical models and structural parameters and physical properties are deterministic. As an alternative, worst-case conditions are also referred to for design purposes, which often lead to costly “overdesign”. The same happens for uncertainty in design correlations, which is frequently neglected. Moreover, penalties for off-design performances are usually not included in the evaluation of economic/technical objective functions in case of design optimization.
Therefore, the need arises to incorporate uncertainty in design and procedures for energy systems. In fact, to take into account variability and uncertainty in the design phase leads to superior performances and better system design. This may be obtained, for instance, by reducing variability, by adopting measures to prevent uncertainty propagation, i.e., pursuing robust design, by embedding flexibility to cope with changing conditions in system design. Approaches to mitigate the adverse effect of variability and uncertainty, such as real options, insurances, and financial hedging measures can be also used when economic performances are sought. Design methods such as parametric, probabilistic, fuzzy logic, statistical sampling, and variance reduction techniques, time series forecasting, surrogate modeling, scenario planning, sensitivity analysis, and so on are available but are too complex to apply and time-consuming. Therefore, they deserve further research, while examples of their application in case studies are also required to advance the adoption of such techniques.
This Special Issue invites papers dedicated to the development of novel theoretical and methodological evaluation tools and design methods having general applicability, considering uncertainty and/or aleatory as well as deterministic variability, allowing the evaluation of their combined effects on the technical and economic performance of energy systems and associated components. In addition to managing uncertainty in the design phase, contributions about operational hedging strategies in energy systems are welcome, including the agreed four generic strategies of reserve and redundancy, diversification and risk pooling, risk sharing and transfer, and reducing and eliminating root causes of risk. The overall focus of this Special Issue is, therefore, decision-making under uncertainty in energy systems, including discussion of technical, operational, and financial approaches useful to mitigate adverse effects of uncertainty in systems performances.
Assoc. Prof. Dr. Paolo Salini
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. 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 2000 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.
- design under uncertainty
- design under variable operating condition
- equipment optimal design
- systems optimal design