Energy self-sufficient manufacturing systems – integration of renewable and decentralized energy generation systems

Schulz, Julia; Scharmer, Valerie M.; Zaeh, Michael F.

doi:10.1016/j.promfg.2020.02.105

Cited by 13 publications

(6 citation statements)

References 17 publications

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“…A procedure to integrate renewable energy sources applying energy-flexibility was studied in [196]. Popp et al [197] presented a real-time control approach that considers the renewable energy supply to plan the use of machine tool components characterized by energy-flexibility.…”

Section: Renewable Energy Sources In Manufacturing Systemsmentioning

confidence: 99%

A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems

Renna

Materi

2021

Applied Sciences

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Climate change mitigation, the goal of reducing CO2 emissions, more stringent regulations and the increment in energy costs have pushed researchers to study energy efficiency and renewable energy sources. Manufacturing systems are large energy consumers and are thus responsible for huge greenhouse gas emissions; for these reasons, many studies have focused on this topic recently. This review aims to summarize the most important papers on energy efficiency and renewable energy sources in manufacturing systems published in the last fifteen years. The works are grouped together, considering the system typology, i.e., manufacturing system subclasses (single machine, flow shop, job shop, etc.) or the assembly line, the developed energy-saving policies and the implementation of the renewable energy sources in the studied contexts. A description of the main approaches used in the analyzed papers was discussed. The conclusion reports the main findings of the review and suggests future directions for the researchers in the integration of renewable energy in the manufacturing systems consumption models.

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Section: Renewable Energy Sources In Manufacturing Systemsmentioning

confidence: 99%

A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems

Renna

Materi

2021

Applied Sciences

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“…This problem of demand volatility has been further increased due to the growing penetration of renewable energy sources as it lacks a clear economic incentive for stakeholders that eventually translates to financial pressure. This cost burden issue sheds light on the necessity of maintaining demand stability and supply security as one of the significant challenges in the future [19,27].…”

Section: Country Of Dsm Evaluation Object Indexes For End-user's Rolementioning

confidence: 99%

“…Therefore, the purpose of the PLD and ECDF tests in testing the normality of time series data is to compare (the macro) PLD empirical distribution function (the mean of CDF for all data pins) against (the micro) ECDF empirical distribution function (the mean of CDF for individual pins in the sample data, i.e., Figures 18,19,[24][25][26][27]. This is to measure the discrepancy between PLD and ECDF.…”

Section: Edf Normality Test (Kolmogorov-smirnov)mentioning

confidence: 99%

Energy Loss Impact in Electrical Smart Grid Systems in Australia

Zaghwan

Gunawan

2021

Sustainability

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This research draws attention to the potential and contextual influences on energy loss in Australia’s electricity market and smart grid systems. It further examines barriers in the transition toward optimising the benefit opportunities between electricity demand and electricity supply. The main contribution of this study highlights the impact of individual end-users by controlling and automating individual home electricity profiles within the objective function set (AV) of optimum demand ranges. Three stages of analysis were accomplished to achieve this goal. Firstly, we focused on feasibility analysis using ‘weight of evidence’ (WOE) and ‘information value’ (IV) techniques to check sample data segmentation and possible variable reduction. Stage two of sensitivity analysis (SA) used a generalised reduced gradient algorithm (GRG) to detect and compare a nonlinear optimisation issue caused by end-user demand. Stage three of analysis used two methods adopted from the machine learning toolbox, piecewise linear distribution (PLD) and the empirical cumulative distribution function (ECDF), to test the normality of time series data and measure the discrepancy between them. It used PLD and ECDF to derive a nonparametric representation of the overall cumulative distribution function (CDF). These analytical methods were all found to be relevant and provided a clue to the sustainability approach. This study provides insights into the design of sustainable homes, which must go beyond the concept of increasing the capacity of renewable energy. In addition to this, this study examines the interplay between the variance estimation of the problematic levels and the perception of energy loss to introduce a novel realistic model of cost–benefit incentives. This optimisation goal contrasted with uncertainties that remain as to what constitutes the demand impact and individual house effects in diverse clustering patterns in a specific grid system. While ongoing effort is still needed to look for strategic solutions for this class of complex problems, this research shows significant contextual opportunities to manage the complexity of the problem according to the nature of the case, representing dense and significant changes in the situational complexity.

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“…Partially supply independency, the use of renewable resources, as well as the reduction of emissions result in decisive competitive advantages for companies. Consequently, an approach for integrating renewable energy generation and self-consumption by applying energy-flexible production systems was developed [7]. In addition, decision-making support for companies considering such an investment is necessary.…”

Section: Of 27mentioning

confidence: 99%

Renewable On-Site Power Generation for Manufacturing Companies—Technologies, Modeling, and Dimensioning

et al. 2021

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The expansion of renewable energies and the concomitant compensatory measures, such as the expansion of the electricity grid, the installation of energy storage facilities, or the flexibilization of demand, lead to a more elaborated energy supply system. Furthermore, the technological development of small power plants has further progressed, and many novel technologies have achieved grid parity. For manufacturing companies, the integration of renewable generation plants at their own site therefore represents a promising strategy for being both technically independent of the electricity grid and autonomous of price policy decisions and volatile market prices. This paper outlines the existing decentralized, renewable power generation technologies, their energetic modeling, and a hybrid optimization methodology for their dimensioning that uses mixed integer linear programming (MILP) and linear programming (LP) problem formulation. Finally, the introduced dimensioning method is applied to an exemplary manufacturing company that is assumed to be in the central part of Germany and located in the metalworking sector. The company has an electricity demand of approximately 20,000 MWh/a. The optimization results in a maximum expansion of PV and the use of CHP to cover the base load leading to a promising energy cost reduction of almost 20%.

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Energy self-sufficient manufacturing systems – integration of renewable and decentralized energy generation systems

Cited by 13 publications

References 17 publications

A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems

A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems

Energy Loss Impact in Electrical Smart Grid Systems in Australia

Renewable On-Site Power Generation for Manufacturing Companies—Technologies, Modeling, and Dimensioning

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