An application of a circular economy approach to design an energy-efficient heat recovery system
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Date
2021
Authors
Sadik Serhat Karakütük
Sener Akpinar
Mustafa Arslan Ornek
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Ltd
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This paper aims to develop an optimal real-life energy-efficient design for a production plant within the concept of the circular economy. The problem is to install a Heat Recovery System (HRS) that utilizes the hot oil used by the compressors to heat the water for the central heating system. To achieve the desired level of energy efficiency this design problem must be formulated from both the optimization and sustainability points of view. Additionally this design problem must also consider the investment cost. In line with this purpose this paper formulates this design problem as an optimization problem employing a mathematical programming approach as a single objective and as a multi-objective optimization problem through a goal programming approach. Besides this paper uses the return on investment as a key performance indicator since it deals with a real-life design problem with an investment cost. The related design problem is solved with the single objective and multi-objective versions of the developed mathematical programming model via a commercial solver to identify different design alternatives and hence giving the decision-maker to make a selection option. Finally the capability of the developed mathematical programming model is tested on a set of randomly generated problems. The obtained results indicate that the developed mathematical programming model is a successful decision support system since its single and multi-objective versions are capable of identifying energy-efficient production designs within the context of the real-life problem on hand and the circular economy. © 2021 Elsevier B.V. All rights reserved.
Description
Keywords
Circular Economy, Energy Efficiency, Goal Programming, Mathematical Programming, Multi-objective Optimization, Sustainability, Artificial Intelligence, Benchmarking, Costs, Decision Making, Decision Support Systems, Economics, Investments, Mathematical Programming, Multiobjective Optimization, Sustainable Development, Waste Heat, Circular Economy, Design Problems, Energy, Energy Efficient, Goal-programming, Heat Recovery Systems, Investment Costs, Mathematical Programming Models, Multi-objectives Optimization, Single Objective, Energy Efficiency, Artificial intelligence, Benchmarking, Costs, Decision making, Decision support systems, Economics, Investments, Mathematical programming, Multiobjective optimization, Sustainable development, Waste heat, Circular economy, Design problems, Energy, Energy efficient, Goal-programming, Heat recovery systems, Investment costs, Mathematical programming models, Multi-objectives optimization, Single objective, Energy efficiency
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
7
Source
Journal of Cleaner Production
Volume
320
Issue
Start Page
128851
End Page
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Citations
CrossRef : 1
Scopus : 9
Captures
Mendeley Readers : 93
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