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PRIORITIZATION OF IMPROVEMENT PROJECTSIN ENERGY MANAGEMENT SYSTEM
Mohamed SalaheldinPh.D Researcher
Faculty of engineering, Alexandria University
Alexandria, Egypt
Prof. Dr. M. Nashat ForsProfessor of industrial Engineering
Faculty of engineering, Alexandria University
Alexandria, Egypt
Prof. Dr. Ahmed Farouk Abdul MoneimProfessor of industrial Engineering
Arab Academy of Science and Technology and Maritime Transport
Alexandria, Egypt
CIE45 Proceedings, 28-30October 2015, Metz / France
Mohamed Salaheldin Biography• Mohamed Salaheldin, is Business Excellence Sector Manager at Sidpec; Sidi Kerir
Petrochemicals Co. and acting as Company Energy Manager.
• He is a PhD researcher, Production Engineering Department, AlexandriaUniversity, Egypt.
• He earned his M.Sc. in Industrial and Management Engineering 2008 from ArabAcademy for Science and Technology and Maritime Transport, Alexandria, Egypt.
• He earned his B.Sc. in Electrical Communication and Electro-Physics 1996 fromElectrical Engineering Department, Faculty of Engineering; Alexandria University.
• He has about 20 years of experience with background in oil & gas andpetrochemicals in multiple disciplines including automation maintenance andtechnical studies, quality improvement, and energy efficiency.
• He is certified Lean Six Sigma Black Belt.
• He has written or co-authored some articles on multi-criteria decision making.
• He is qualified by UNIDO as Energy Management System & ISO 50001 Expert.
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email: [email protected]: 002 01227426518
https://eg.linkedin.com/in/msalaheldin
Presentation Outlines
• EnMS Definition & Importance
• Improvement Project Prioritization in EnMS
• Multi-criteria Decision Making
• AHP & FAHP
• VFT
• FAHP-VFT
• Case-study
• Conclusion
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Energy Management System (EnMS)
• EnMS is a systematic approach to improve energy performance by establishing an energy policy and specifying energy objectives along with providing the essential resources to achieve those objectives according to predetermined action plans.
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From
ISO 50001:2011EnMS Standard
Importance of EnMS
• The implementation of EnMS has a great effect on enhancing the energy performance and lowering the green house gases (GHG) emission through basically no cost and low cost improvement projects
• EnMS became a very crucial issue especially in heavy industries like steel, oil and gas, and petrochemicals
• It is observed that there is a desire of many industrial companies in Egypt to have an EnMS to be implemented in their facilities and this is obviously the case of other countries of different categories.
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Source: IEA/ UNIDO 2010
Most emissions reductions possible through deploy- mentof existing best available EE practices and technologies
Importance of EnMS
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Climate Change Policy
Scenarios
Improvement Project Prioritization in EnMS
• To achieve specific objective, it is always accompanied by a list ofimprovement opportunities which is commonly implemented in aproject-base approach by cross-functional teams of differentdisciplines in the organization.
• Energy improvement projects are captured from ideas submitted byall stakeholders basically the employees to enhance the involvementof people and improvement culture.
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Improvement Project Prioritization in EnMS
• The EnMS international standard ISO 50001:2011 stated that for anyorganization to grant a certified EnMS, an energy review has to bedeveloped.
• Energy review is a main part of the planning process for EnMS wherethe data of energy performance for any organization are collected andanalyzed to identify the significant energy uses and then energyperformance improvement opportunities have to be identified andprioritized.
• The implementation of energy management system (EnMS) createsan additional need for decision support system in order to prioritizethe improvement opportunities for energy efficiency to select themost appropriate ones to be handled first to maximize the gain andminimize the risk.10/30/2015
Selection of Improvement Projects in EnMS CIE45 Proceedings, 28-30October 2015, Metz / France
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Complex Decision Problem
• Multiple Criteria (Qualitative & Quantitative)
• Multiple Decision Makers
• Uncertainty• Incomplete Information
• Imprecise Data
• Vagueness surrounding the decision making
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Fuzzy Analytic Hierarchy Process
• MCDM method
• AHP was developed by Saaty in the end of 70's
• Applied to many practical decision-making problems
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Deriving Priorities Under Uncertainty
• DM may be uncertain about his level of preference due to incomplete information or insufficient knowledge
• Naturally, Humans express their preferences Linguistically
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Linguistic Variables
• The most appropriate model that captures the characteristics of the Linguistic variables is Fuzzy Numbers rather than Definite (Crisp) Numbers as used by Saaty
• Therefore, the Modified Scale Replacing the 9-point scale of Saaty could be given as Follow:
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E2Extremely
Important
Very
Strongly
Important
Moderately
Important
Nearly
Equal
Important
Moderately
Important
Very
Strongly
Important
Extremely
ImportantE1
Value-Focused Thinking (VFT)Ralph L. Keeney (1994) stated that VFT is designed to focus the decision maker on the essential activities that must occur prior to solve a decision problem
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Sample VFT Hierarchy Sample AHP Hierarchy
From Dawley et al. 2008
VFT as a 10-step Process
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From Jordan 2012
Natural Constructed
Direct Best Acceptable
Proxy Acceptable Least Desirable
𝑣 𝑥 = 𝑖=1𝑛 𝜆𝑖 𝑣𝑖 (𝑥𝑖)
Swing
Weighting
Fuzzy Analytic hierarchy Process – Value Focused Thinking (FAHP-VFT) Methodology
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Value Hierarchy for the given problem
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Some Measures with corresponding functions (𝜷=𝟓 for continuous functions)
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Conclusion (1/2)
• It is a fact that energy management systems must cope with rising inenergy costs and reducing the impact on environment.
• The present paper proposes a methodology that helps makingdecisions in the selection of improving projects for energymanagement.
• The methodology is merging fuzzy analytic hierarchy process withvalue-focused thinking.
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Conclusion (2/2)
• The proposed methodology is worth for the purpose of overcomingthe inaccuracy of FAHP when dealing with huge number ofalternatives and the uncertainty increasing when using otherweighting techniques with VFT.
• The new methodology is amenable for using in practice where self-explanatory method is required for practitioners and group decisionmaking that leading to consistent results.
• The Fuzzy Genetic Prioritization used to solve FAHP was used toovercome the drawbacks incurred when using the extent analysismethod of AHP where many multiplications and divisions of fuzzynumber may lead to inaccurate and sometimes irrational results.
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Contribution of Current Work
1. Using linguistic pair-wise comparisons with value-focused thinking,for the first time.
2. Investigating the selection of Energy Management SystemImprovement projects and building a decision support tool capablefor dealing with that problem.
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Regarding the Case Study
• For the given real case study, the weights of the objectives arecalculated based on 8 DM's judgements and 10 ideas are evaluatedand ranked according to their corresponding scores.
• In the stage of implementation and operation of EnMS, the newmethodology provides the flexibility of adding any new idea andcalculating a score for that new idea without incurring any rankreversal effect.
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PRIORITIZATION OF IMPROVEMENT PROJECTSIN ENERGY MANAGEMENT SYSTEM
For any further questions or clarifications, Kindly contact
Mohamed Salaheldin
CIE45 Proceedings, 28-30October 2015, Metz / France
THANK YOU
email: [email protected]: 002 01227426518
https://eg.linkedin.com/in/msalaheldin