Smart Energy-Aware Manufacturing Plant Scheduling under Uncertainty: A Risk-Based Multi-Objective Robust Optimization Approach

Considering economic and environmental concerns as well as thermal and visual comfort requirements, this paper introduces the idea of Smart Energy-Aware Manufacturing Plant Scheduling for general manufacturing processes, especially high-value-added ones. The integrated system benefits from the use o...

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Veröffentlicht in:Energy (Oxford) Jg. 209; S. 118385
1. Verfasser: Golpîra, Hêriş
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 15.10.2020
Elsevier BV
Schlagworte:
Carbon dioxide
Carbon dioxide emissions
Cogeneration
Combined cooling, Heat and power (CCHP) system
Conditional Value-at-Risk
cooling
Distributed generation
Economic models
Economics
energy
Energy efficiency
Energy management
Energy policy
Energy resources
Energy sources
heat
Heat exchange
Industrial energy
Industrial plants
Integer programming
issues and policy
Linear programming
Manufacturing
Manufacturing industry
Mixed integer
Multiple objective analysis
Optimization
Production costs
Renewable energy
Risk levels
Robust optimization
Robustness (mathematics)
Schedules
Scheduling
Stress concentration
Uncertainty
Conditional Value-at-Risk
Combined cooling, Heat and power (CCHP) system
Energy efficiency
Robust optimization
ISSN:0360-5442, 1873-6785
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Zusammenfassung:Considering economic and environmental concerns as well as thermal and visual comfort requirements, this paper introduces the idea of Smart Energy-Aware Manufacturing Plant Scheduling for general manufacturing processes, especially high-value-added ones. The integrated system benefits from the use of a grid-connected Microgrid, a combined cooling, heat, and power system, and renewable power. Employing the Conditional Value-at-Risk and guaranteeing both solution and model robustness through an original multi-objective risk-based robust mixed-integer linear programming to optimally support the system make the contribution of the paper novel and unique. The main objective is to schedule manufacturing (non-shiftable) and non-manufacturing (shiftable and interruptible) loads, and distributed energy resources based on the real-time-pricing policy in an interactive decentralized operation of a capacitated multi-carrier energy production-consumption system. Compared to the conventional system, the results outline 64.63%, 1.62%, 100%, and 65.23% less Carbon dioxide emissions, net production, power exchange, and total costs, on average. The proposed framework is preferable to the framework that is based on the use of combined heat and power systems, at least in terms of a reduction in production costs. Considering both the supply- and demand-side uncertainties, the framework performs good trade-offs between solution robustness and model robustness, and environmental and economic concerns. •Introducing the idea of Smart Energy-Aware Manufacturing Plant Scheduling.•Proposing a new multi-objective risk-based robust Mixed Integer Linear Programming.•Obtaining 64.63%, 1.62%, and 65.23% less emission, production, and total costs.•Providing a good trade-off between solution and model robustness.•Providing a constructive trade-off between environmental and economic concerns.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2020.118385