Identification of reservation capacity in critical peak pricing electricity demand response program for sustainable manufacturing systems

2013 ◽  
Vol 38 (6) ◽  
pp. 728-736 ◽  
Author(s):  
Andres Bego ◽  
Lin Li ◽  
Zeyi Sun
Keyword(s):  
Demand Response ◽  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Electricity Demand ◽  
Demand Response Program ◽  
Peak Pricing

Simulation-Based Optimization of Electricity Demand Response for Sustainable Manufacturing Systems

2014 ◽  
Author(s):  
Leah Cuyler ◽  
Zeyi Sun ◽  
Lin Li
Keyword(s):  
Demand Response ◽  
Manufacturing Systems ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Optimization Method ◽  
Electricity Demand ◽  
System Throughput ◽  
Commercial Building ◽  
Simulation Based ◽  
Simulation Based Optimization

Electricity demand response is considered a promising tool to balance the electricity demand and supply during peak periods. It can effectively reduce the cost of building and operating those peaking power generators that are only run a few hundred hours per year to satisfy the peak demand. The research on the electricity demand response implementation for residential and commercial building sectors has been very mature. Recently, it has also been extended to the manufacturing sector. In this paper, a simulation-based optimization method is developed to identify the optimal demand response decisions for the typical manufacturing systems with multiple machines and buffers. Different objectives, i.e. minimizing the power consumption under the constraint of system throughput, and maximize the overall earnings considering the tradeoff between power demand reduction and potential production loss, are considered. Different energy control decisions are analyzed and compared regarding the potential influence on the throughput of manufacturing system due to the different control actions adopted by throughput bottleneck machine.

Joint Production and Energy Modeling of Sustainable Manufacturing Systems: Challenges and Methods

2014 ◽  
Author(s):  
Yong Wang ◽  
Lin Li
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Demand Response ◽  
Manufacturing Systems ◽  
Energy Use ◽  
System Modeling ◽  
Sustainable Manufacturing ◽  
Energy Modeling ◽  
Joint Production ◽  
Solution Technique

This paper proposes a framework for addressing challenges of joint production and energy modeling of sustainable manufacturing systems. The knowledge generated is used to improve the technological readiness of manufacturing enterprises for the transition towards sustainable manufacturing. Detailed research tasks of the framework are on the modeling of production, energy efficiency, electricity demand, cost, and demand response decision making. Specifically, the dynamics and performance measures of general manufacturing systems with multiple machines and buffers are modeled to integrate energy use into system modeling. The expressions of electrical energy efficiency and cost are then established based on the electricity pricing profile. Finally, joint production and energy scheduling problem formulations and the solution technique are discussed. New insights are acquired based on the applications of the established model in system parameter selection, rate plan switching decision making, and demand response scheduling. Appropriate implementation of this research outcome may lead to energy-efficient, demand-responsive, and cost-effective operations and thus improve the sustainability of modern manufacturing systems.

Demand Response for Sustainable Manufacturing Systems Considering Buffer Content Utilization

2020 ◽  
Author(s):  
Xue Zhou ◽  
Jing Zhao ◽  
Lingxiang Yun ◽  
Zeyi Sun ◽  
Lin Li
Keyword(s):  
Demand Response ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Public Awareness ◽  
Sustainable Manufacturing ◽  
Initial Study ◽  
Load Shedding ◽  
System Throughput ◽  
Manufacturing Plants ◽  
Consumption Reduction

Abstract Due to the rapidly rising energy price and increase in public awareness of environmental protection, the manufacturers are facing the ever-increasing moral and economic pressures from the community, government, and society. Hence, the significance of energy related studies in manufacturing systems has gradually become recognized in recent years. In most cases, the techniques to reduce the energy consumption are either renewable energy methods (solar, tidy and wind) or improving energy efficiency for existing energy modes. The approach to cut the energy related costs for manufacturing plants has not been comprehensively considered, although the same methods such as demand response and load shedding have been widely studied in the building research. In this paper, a brief analysis of the unique challenges to the application of the demand response technique in manufacturing systems is presented. The feasibility and profitability of demand response in manufacturing systems under the constraint of system throughput are studied and explored. An initial study about customer side decision making on demand response is introduced, and a numerical case of a section of a manufacturing system is used to show the benefits of the proposed idea, which illustrates over 6% bill reduction and over 5% consumption reduction during a billing cycle without sacrificing system throughput.

Simulation-Based Electricity Demand Response for Combined Manufacturing and HVAC System Towards Sustainability

2015 ◽  
Author(s):  
Fadwa Dababneh ◽  
Mariya Atanasov ◽  
Zeyi Sun ◽  
Lin Li
Keyword(s):  
Demand Response ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Electricity Demand ◽  
Hvac System ◽  
Response Strategies ◽  
Building Models ◽  
Heat Demand ◽  
Demand Reduction ◽  
Simulation Based

In this paper, we introduce a simulation-based method to implement electricity demand response for manufacturers considering both heating ventilation and air conditioning (HVAC) and manufacturing systems. Compared with the existing literature where the demand response implementation for manufacturing system and HVAC system is usually conducted separately, this paper advances the state of the art by combining two systems together in demand response. A joint simulation model is established using ProModel and EnergyPlus. ProModel is first used to simulate the demand response for the manufacturing system to obtain the demand response actions without influencing production. After that, these actions are used as input information in EnergyPlus where the HVAC and building models are developed. The interaction between the heat generated due to manufacturing machine operation and the indoor heat demand is explored. Three different demand response strategies, i.e., 1) the baseline model that neither manufacturing system nor HVAC is considered for demand response; 2) only manufacturing system is considered for demand response; and 3) both the HVAC and manufacturing systems are considered for demand response, are presented and compared. The results show that the combined model can achieve high power demand reduction during demand response event.

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