Towards a Computational Framework for Energy Estimation: Needs, Requirements, and Its Generic Shell

2010 ◽  
Author(s):  
He Huang ◽  
Gaurav Ameta
Keyword(s):  
Energy Consumption ◽  
Asset Management ◽  
Product Life Cycle ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Computational Framework ◽  
Energy Estimation ◽  
Planning And Scheduling ◽  
Cad Cam ◽  
Negative Impacts

Excessive energy consumption has become a worldwide issue in today’s design and manufacturing industry. A framework for estimating energy consumption that could later be used to integrate with CAD/CAM systems is in demand. This paper initially presents needs and requirements for a computational framework to estimate energy consumption during a product life-cycle, i.e., from extraction of raw materials to recycling or disposal. Energy estimations allow for asset management, thereby reducing the negative impacts of the product to the environment. At the manufacturing stage, asset management can be based on energy efficient process planning and scheduling. As a first step, the research presented in this paper proposes a framework that represents a generic shell for computing energy.

A Novel Pattern for Energy Estimation Framework and Tools to Compute Energy Consumption in Product Life Cycle

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
He Huang ◽  
Gaurav Ameta
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Product Life Cycle ◽  
Manufacturing Industry ◽  
Design Stage ◽  
Computational Tools ◽  
Energy Estimation ◽  
Product Life ◽  
Domain Specific Knowledge ◽  
Energy Consumptions

Excessive energy consumption has become a worldwide issue in today's design and manufacturing industry. An energy estimation framework that could later be used to integrate with CAD/CAM systems is in demand. This research develops a novel pattern to estimate energy consumptions. The pattern involves a software energy estimation framework and various software energy computational tools. Using this pattern, energy can be calculated by an energy estimation framework which can be attached with diverse energy computational tools. These computational tools can be designed for any purpose to calculate energy consumptions during a product life-cycle and for various manufacturing processes. The framework involved in this pattern features to be domain independent and flexible so that it will be expandable for different manufacturing domains and customizable for users. Details for developing such pattern are presented. Interaction between the framework and its computational tools is also discussed. With help of this pattern, energy estimation framework and energy computational tools can interact smoothly, and the development of computational tools can be extended or expanded for any purpose. Knowledge engineers who exert to integrate knowledge into computer systems can interpret domain-specific knowledge and share their expertise to improve the framework. The framework also assists users who have little knowledge about energy computations to estimate energy consumptions during the design stage, leading to products with reduced energy.

A Design Framework for Bi-Level Estimation of Machining Energy for Parts and Assemblies

2009 ◽  
Author(s):  
Gaurav Ameta ◽  
Mahesh Mani ◽  
He Huang
Keyword(s):  
Energy Range ◽  
Asset Management ◽  
Design Stage ◽  
Design Strategies ◽  
Energy Estimation ◽  
Planning And Scheduling ◽  
Early Design ◽  
Early Design Stage ◽  
Negative Impacts ◽  
Manufacturing Stage

This paper presents a framework and approach for the computation of machining energy for parts and assemblies, at two levels — early design stage and manufacturing stage. Energy estimation at an early design stage can be useful for redesign strategies and improving manufacturing efficiency. At the manufacturing stage, energy estimations allow for asset management based on energy efficient process planning and scheduling, thereby reducing the negative impacts of the product to the environment. To facilitate the computation of the machining energy, at an early design stage, we first automate the process of identifying the material removal volume for machining operations for a given part. We subsequently use the identified removal volume together with the material specific data to compute an energy range for manufacturing the part. For an assembly, the above computations for individual parts are aggregated to arrive at the final energy range. The proposed method allows the identification of energy intensive parts/features based on the percent contribution, thereby assisting re-design strategies. We additionally explore the application of statistical analysis and allocation principles to identify priority re-design parts. In this paper, we limit our product re-design discussions based on form (geometry and shape) and material. Future extensions will potentially also include manufacturing process optimization. Although the framework presented in this paper is currently applied only to milled parts and assemblies, it can also be extended to other machining methods.

Towards a Design Framework for Bi-Level Estimation of Turning Energy for Parts and Assemblies

2009 ◽  
Author(s):  
He Huang ◽  
Gaurav Ameta
Keyword(s):  
Design Stage ◽  
Computational Framework ◽  
Energy Estimation ◽  
Planning And Scheduling ◽  
Early Design ◽  
Early Design Stage ◽  
Machined Parts ◽  
Percent Contribution ◽  
Turned Parts ◽  
Manufacturing Stage

This paper presents a computational framework for calculating turning energy for parts and assemblies, at two levels — early design stage and manufacturing stage. At the early design stage such energy estimation can be used to redesign the part and assemblies for manufacturing energy efficiency. At the manufacturing stage, allocation of resources based on energy efficient process planning and scheduling aids in reducing the carbon emissions of the product due to manufacturing energy production. For computing the turning energy, at the early design stage, first removal volume for turning operations for a part is identified. Then, material data and the removal volume are used to calculate a range of turning energy for manufacturing the part. If dealing with an assembly, then the above computations are applied to each individual parts and total turning energy is computed for the assembly. Energy hogging parts/features are identified based on percent contribution, which is then used to suggest parts for re-design. Application of statistical analysis and allocation of turning energy for identifying re-design parts is also explored. Re-design at the early design stage is performed at two levels — form (geometry and shape) and material. At the manufacturing stage, turning energy calculations can be utilized for optimizing the process plans. Although the framework presented in this paper is applied only to turned parts and assemblies, it can also be applied to machined parts and assemblies.

scholarly journals Sustainability Calculator: A Tool to Assess Sustainability in Cosmetic Products

2020 ◽  
Vol 12 (4) ◽  
pp. 1437 ◽  
Author(s):  
Sara Bom ◽  
Helena Margarida Ribeiro ◽  
Joana Marto
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Raw Materials ◽  
Three Dimensions ◽  
Proof Of Concept ◽  
Microsoft Excel ◽  
Cosmetic Product ◽  
Promising Tool ◽  
Cosmetic Industry ◽  
Negative Impacts

Assessing sustainability is extremely necessary and appears as an industrial need and requirement in order to facilitate decision making and to evaluate the impacts of existing strategies, products and technologies. Thus, the main goal of this research was to develop a sustainability calculator based on the opinion of experts that work in the different branches of the cosmetic industry, in order to cover the entire life cycle of a cosmetic product. A detailed survey in which all the steps of a cosmetic product life cycle were addressed, was designed and applied to cosmetic professionals. The data obtained with the survey was statistically analysed for the positive and negative impacts of each parameter on sustainability. The analysed data allowed the creation of a Microsoft Excel tool that mirrors the experts’ opinion. A proof of concept was also designed in order to prove the usefulness of the tool. The results show that there are no raw materials and/or packaging materials and practices, that can be considered 100% sustainable. However, with the appropriate strategies, it is possible to drastically decrease the impacts of any type of cosmetic product on sustainability. This is a promising tool that includes the three dimensions of sustainability in a simple, fast, objective and interactive way for the user. Its application will facilitate the work of the formulators and reduce the time of analysis and decision.

scholarly journals A Novel Load Forecasting Approach Based on Smart Meter Data Using Advance Preprocessing and Hybrid Deep Learning

2021 ◽  
Vol 11 (6) ◽  
pp. 2742
Author(s):  
Fatih Ünal ◽  
Abdulaziz Almalaq ◽  
Sami Ekici
Keyword(s):  
Deep Learning ◽  
Energy Consumption ◽  
Prediction Models ◽  
Short Term Memory ◽  
Critical Role ◽  
Load Forecasting ◽  
Unified Framework ◽  
Short Term ◽  
Planning And Scheduling ◽  
Short Term Load Forecasting

Short-term load forecasting models play a critical role in distribution companies in making effective decisions in their planning and scheduling for production and load balancing. Unlike aggregated load forecasting at the distribution level or substations, forecasting load profiles of many end-users at the customer-level, thanks to smart meters, is a complicated problem due to the high variability and uncertainty of load consumptions as well as customer privacy issues. In terms of customers’ short-term load forecasting, these models include a high level of nonlinearity between input data and output predictions, demanding more robustness, higher prediction accuracy, and generalizability. In this paper, we develop an advanced preprocessing technique coupled with a hybrid sequential learning-based energy forecasting model that employs a convolution neural network (CNN) and bidirectional long short-term memory (BLSTM) within a unified framework for accurate energy consumption prediction. The energy consumption outliers and feature clustering are extracted at the advanced preprocessing stage. The novel hybrid deep learning approach based on data features coding and decoding is implemented in the prediction stage. The proposed approach is tested and validated using real-world datasets in Turkey, and the results outperformed the traditional prediction models compared in this paper.

scholarly journals Mechanisms of Environmental Regulation’s Impact on Green Technological Progress—Evidence from China’s Manufacturing Sector

2021 ◽  
Vol 13 (4) ◽  
pp. 1600
Author(s):  
Weijiang Liu ◽  
Mingze Du ◽  
Yuxin Bai
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Technological Change ◽  
Environmental Protection ◽  
Technological Progress ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
The Sustainable Development ◽  
Biased Technological Change ◽  
Chinese Manufacturing Industry

As the world’s largest developing country, and as the home to many of the world’s factories, China plays a crucial role in the sustainable development of the world economy regarding environmental protection, energy conservation, and emission reduction issues. Based on the data from 2003–2015, this paper examined the green total factor productivity and the technological progress in the Chinese manufacturing industry. A slack-based measure (SBM) Malmquist productivity index was used to measure the bias of technological change (BTC), input-biased technological change (IBTC), and output-biased technological change (OBTC) by decomposing the technological progress. It also investigated the mechanism of environmental regulation, property right structure, enterprise-scale, energy consumption structure, and other factors on China’s technological progress bias. The empirical results showed the following: (1) there was a bias of technological progress in the Chinese manufacturing industry during the research period; (2) although China’s manufacturing industry’s output tended to become greener, it was still characterized by a preference for overall CO2 output; and (3) the impact of environmental regulations on the Chinese manufacturing industry’s technological progress had a significant threshold effect. The flexible control of environmental regulatory strength will benefit the Chinese manufacturing industry’s technological development. (4) R&D investment, export delivery value, and structure of energy consumption significantly contributed to promoting technological progress. This study provides further insight into the sustainable development of China’s manufacturing sector to promote green-biased technological progress and to achieve the dual goal of environmental protection and healthy economic growth.

scholarly journals Crushed Bricks: Demolition Waste as a Sustainable Raw Material for Geopolymers

2021 ◽  
Vol 13 (14) ◽  
pp. 7572
Author(s):  
Gigliola D’Angelo ◽  
Marina Fumo ◽  
Mercedes del Rio Merino ◽  
Ilaria Capasso ◽  
Assunta Campanile ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Building Materials ◽  
Mechanical Performance ◽  
Raw Materials ◽  
Construction Material ◽  
Raw Material ◽  
The European Union ◽  
Total Energy Consumption ◽  
Demolition Waste ◽  
Crushed Brick

Demolition activity plays an important role in the total energy consumption of the construction industry in the European Union. The indiscriminate use of non-renewable raw materials, energy consumption, and unsustainable design has led to a redefinition of the criteria to ensure environmental protection. This article introduces an experimental plan that determines the viability of a new type of construction material, obtained from crushed brick waste, to be introduced into the construction market. The potential of crushed brick waste as a raw material in the production of building precast products, obtained by curing a geopolymeric blend at 60 °C for 3 days, has been exploited. Geopolymers represent an important alternative in reducing emissions and energy consumption, whilst, at the same time, achieving a considerable mechanical performance. The results obtained from this study show that the geopolymers produced from crushed brick were characterized by good properties in terms of open porosity, water absorption, mechanical strength, and surface resistance values when compared to building materials produced using traditional technologies.

scholarly journals Pulp and Paper Industry: Decarbonisation Technology Assessment to Reach CO2 Neutral Emissions—An Austrian Case Study

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Manufacturing Industry ◽  
Paper Industry ◽  
Heat Pumps ◽  
Pulp And Paper ◽  
Low Carbon ◽  
Co2 Emission Reduction

The pulp and paper (P&P) sector is a dynamic manufacturing industry and plays an essential role in the Austrian economy. However, the sector, which consumes about 20 TWh of final energy, is responsible for 7% of Austria’s industrial CO2 emissions. This study, intending to assess the potential for improving energy efficiency and reducing emissions in the Austrian context in the P&P sector, uses a bottom-up approach model. The model is applied to analyze the energy consumption (heat and electricity) and CO2 emissions in the main processes, related to the P&P production from virgin or recycled fibers. Afterward, technological options to reduce energy consumption and fossil CO2 emissions for P&P production are investigated, and various low-carbon technologies are applied to the model. For each of the selected technologies, the potential of emission reduction and energy savings up to 2050 is estimated. Finally, a series of low-carbon technology-based scenarios are developed and evaluated. These scenarios’ content is based on the improvement potential associated with the various processes of different paper grades. The results reveal that the investigated technologies applied in the production process (chemical pulping and paper drying) have a minor impact on CO2 emission reduction (maximum 10% due to applying an impulse dryer). In contrast, steam supply electrification, by replacing fossil fuel boilers with direct heat supply (such as commercial electric boilers or heat pumps), enables reducing emissions by up to 75%. This means that the goal of 100% CO2 emission reduction by 2050 cannot be reached with one method alone. Consequently, a combination of technologies, particularly with the electrification of the steam supply, along with the use of carbon-free electricity generated by renewable energy, appears to be essential.

Biocement: Green Building- and Energy-Saving Material

2011 ◽  
Vol 347-353 ◽  
pp. 4051-4054 ◽  
Author(s):  
Jian Chu ◽  
Volodymyr Ivanov ◽  
Viktor Stabnikov ◽  
Jia He ◽  
Bing Li ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Microbial Biomass ◽  
Enzymatic Activity ◽  
Energy Saving ◽  
Building Material ◽  
Clayey Soil ◽  
Raw Materials ◽  
Green Building ◽  
Specific Enzymatic Activity ◽  
Porous Soil

Cement and chemical grouts have often been used for soil strengthening. However, high cost, energy consumption, and harm to environment restrict their applications. Biocement could be a new green building- material and energy-saving material. Biocement is a mixture of enzymes or microbial biomass with inorganic chemicals, which can be produced from cheap raw materials. Supply of biocementing solution to the porous soil or mixing of dry biocement with clayey soil initiate biocementation of soil due to specific enzymatic activity. Different microorganisms and enzymes can be used for production of biocement.

ASSESSMENT OF WOODEN BUILDINGS IN TERMS OF CONSTRUCTION WASTE GENERATION

2020 ◽  
Author(s):  
Marcela Spišáková ◽  
Mária Kozlovská ◽  
Jozef Švajlenka
Keyword(s):  
Negative Impact ◽  
Raw Materials ◽  
Environmental Parameters ◽  
Constructional Material ◽  
Waste Generation ◽  
Construction Waste ◽  
Construction Market ◽  
Negative Impacts ◽  
The Individual ◽  
Wooden Structures

Construction industry creates an environment for people's lives. On the other hand, construction activities have a negative impact on various aspects of the environment. It consumes natural raw materials, significantly contributes to carbon footprint, waste, etc. Appropriate choice of constructional, material, technical, technological and environmental parameters of buildings can partially reduce this negative impacts. By designing, implementing and using wood-based constructions it is possible to reduce the negative impact in the area of construction waste generation. Currently, the construction market offers a large number of construction systems of wooden buildings, which have both strengths and weaknesses. In this paper are identified construction systems of wooden buildings offered on the Slovak construction market. The aim of the paper is a detailed identification of construction waste generation during the realization of particular wooden structures and monitoring of waste generation in production factory (off site) and on construction site (on site) during the construction of wooden buildings. Based on the obtained information, the individual construction systems of wood-based constructions are compared in terms of construction waste generation

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