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.

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.

Simulation Based Analysis of Reconfigurable Manufacturing System Configurations

2016 ◽  
Vol 844 ◽  
pp. 50-59 ◽  
Author(s):  
Arkadiusz Gola ◽  
Antoni Świć
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Low Cost ◽  
Systems Design ◽  
Reconfigurable Manufacturing ◽  
Reconfigurable Manufacturing System ◽  
Simulation Based ◽  
Critical Problems ◽  
System Configurations ◽  
A Company

Nowadays, manufacturers seek customers’ satisfaction by increasing products variety and customization while striving for agility and productivity. To remain competitive, companies must design manufacturing systems that not only produce high-quality products at low cost, but also respond to market changes in an economical way. One of the critical problems of manufacturing systems design is to decide which of possible configurations is the most advantageous for a company. This article presents the possibility of using simulation methods in the process of analysis of possible configurations of Reconfigurable Manufacturing System according to maximization the productivity of the system.

Robuste Produktion im volatilen Umfeld/A Simulation-based Analysis to Implement Robustness against Disturbances – Robust Production in Volatile Environments

2020 ◽  
Vol 110 (04) ◽  
pp. 209-213
Author(s):  
Sebastian Stobrawa ◽  
Sven Wöllnitz ◽  
Marc-André Dittrich
Keyword(s):  
Material Flow ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flow Simulation ◽  
Economic Environment ◽  
Manufacturing Companies ◽  
Simulation Based ◽  
Robust Manufacturing ◽  
Measurement Approach

Unter den Bedingungen eines volatilen Umfelds wird es für Unternehmen heute schwieriger die Zielerreichung in der Produktion sicherzustellen. Heterogene Schwankungen im Verhalten der Elemente eines Produktionssystems erfordern die Fähigkeit, Planzustände stabil beibehalten zu können. Dieser Beitrag stellt einen Messansatz vor, der mithilfe der Materialflusssimulation diese Elemente einer Produktion hinsichtlich ihrer Robustheit bewertet. So lassen sich robuste Produktionssysteme ableiten.   It is becoming increasingly difficult for manufacturing companies to achieve their production targets in today’s volatile economic environment. Heterogeneous fluctuations in the behaviour of components of a manufacturing system require stable planning states. The following article presents a measurement approach which uses material flow simulation to evaluate components in manufacturing in terms of their robustness. Thus, robust manufacturing systems can be derived.

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