Decision system based on neural networks to optimize the energy efficiency of a petrochemical plant

The energy efficiency of industrial plants is an important issue in any type of business but particularly in the chemical industry. Not only is it important in order to reduce costs, but also it is necessary even more as a means of reducing the amount of fuel that gets wasted, thereby improving productivity, ensuring better product quality, and generally increasing profits. This article describes a decision system developed for optimizing the energy efficiency of a petrochemical plant. The system has been developed after a data mining process of the parameters registered in the past. The designed system carries out an optimization process of the energy efficiency of the plant based on a combined algorithm that uses the following for obtaining a solution: On the one hand, the energy efficiency of the operation points occurred in the past and, on the other hand, a module of two neural networks to obtain new interpolated operation points. Besides, the work includes a previous discriminant analysis of the variables of the plant in order to select the parameters most important in the plant and to study the behavior of the energy efficiency index. This study also helped ensure an optimal training of the neural networks. The robustness of the system as well as its satisfactory results in the testing process (an average rise in the energy efficiency of around 7%, reaching, in some cases, up to 45%) have encouraged a consulting company (ALIATIS) to implement and to integrate the decision system as a pilot software in an SCADA

Identifying the impact of the circular economy on the Fast-Moving Consumer Goods Industry Opportunities and challenges for businesses, workers and consumers – mobile phones as an example STUDY

Mobile phones, particularly smartphones, have undergone a period of rapid growth to become virtually indispensable to today's lifestyle. Yet their production, use and disposal can entail a significant environmental burden. This study looks at the opportunities and challenges that arise from implementing circular economy approaches in the mobile phone value chain. A review of the value chain and different circular approaches is complemented by a scenario analysis that aims to quantify the potential impacts of certain circular approaches such as recycling, refurbishment and lifetime extension. The study finds that there is a large untapped potential for recovering materials from both the annual flow of new mobile phones sold in Europe once they reach the end of their life and the accumulated stock of unused, so-called hibernating devices in EU households. Achieving high recycling rates for these devices can offer opportunities to reduce EU dependence on imported materials and make secondary raw materials available on the EU market. As such, policy action would be required to close the collection gap for mobile phone devices. Implementing circular approaches in the mobile phone value chain can furthermore lead to job creation in the refurbishment sector. Extending the lifetime of mobile phones can also provide CO2 mitigation benefits, particularly from displacing the production of new devices

Towards quantification of condition monitoring benefit for wind turbine generators

Condition monitoring systems are increasingly installed in wind turbine generators with the goal of providing component-specific information to the wind farm operator and hence increase equipment availability through maintenance and operating actions based on this information. In some cases, however, the economic benefits of such systems are unclear. A quantitative measure of these benefits may therefore be of value to utilities and O&M groups involved in planning and operating wind farm installations. The development of a probabilistic model based on discrete-time Markov Chain solved via Monte Carlo methods to meet these requirements is illustrated. Potential value is demonstrated through case study simulations

Variable-rate data sampling for low-power microsystems using modified Adams methods

A method for variable-rate data sampling is proposed for the purpose of low-power data acquisition in a small footprint microsystem. The procedure enables energy saving by utilizing dynamic power management techniques and is based on the Adams-Bashforth and Adams-Moulton multistep predictor-corrector methods for ordinary differential equations. Newton-Gregory backward difference interpolation formulae and past value substitution are used to facilitate sample rate changes. It is necessary to store only 2m+1 equispaced past values of t and the corresponding values of y, where y=g(t), and m is the number of steps in the Adams methods. For the purposes of demonstrating the technique, fourth-order methods are used, but it is possible to use higher orders to improve accuracy if required

Disposition Choices Based on Energy Footprints instead of Recovery Quota

This paper addresses the impact of disposition choices on the energy use of closed-loop supply chains. In a life cycle perspective, energy used in the forward chain which is locked up in the product is recaptured in recovery. High quality recovery replaces virgin production and thereby saves energy. This so called substitution effect is often ignored. Governments worldwide implement Extended Producer Responsibility (EPR). Policies are based on recovery quota and not effective from an energy point of view. This in turn leads to unnecessary emissions of amongst others CO2. This research evaluates current EPR policies and presents six policy alternatives from an energy standpoint. The Pareto-frontier model used is generic and can be applied to other closed loops supply chains under EPR, exploiting the substitution effect. The measures modeled are applied to five WEEE cases. We discuss results, pros an cons of various alternatives and complementary measures that might be taken.extended producer responsibility;disposition;energy perspective;substitution effect;government policies;Pareto efficiency

An investigation into standards in sustainable design and manufacture

This paper reports upon the application of standards to reduce the negative environmental impacts of manufacturing through product lifecycle planning and closed loop production. By eliminating waste and retaining the energy embodied within materials and components, manufacturing can become more sustainable from both ecological and financial perspectives. Energy consumption and the associated carbon pollution can thus be minimised. Environmental Management System implementation is also considered

Extending Producer Responsibility: An Evaluation Framework for Product Take-Back Policies

Manufacturers are increasingly being required to adhere to product take-back regulations that require them to manage their products at the end of life. Such regulations seek to internalize products' entire life cycle costs into market prices, with the ultimate objective of reducing their environmental burden. This article provides a framework to evaluate the potential for take-back regulations to actually lead to reduced environmental impacts and to stimulate product design changes. It describes trade-offs associated with several major policy decisions, including whether to hold firms physically or financially responsible for the recovery of their products, when to impose recycling fees, whether to include disposal and hazardous substance bans, and whether to mandate product design features to foster reuse and recycling of components and materials. The framework also addresses policy elements that can significantly affect the cost efficiency and occupational safety hazards of end-of-life product recovery operations. The evaluation framework is illustrated with examples drawn from take-back regulations promulgated in Europe, Japan, and the United States governing waste electrical and electronic equipment (WEEE).

Modeling the Costs and Environmental Benefits of Disposal Options for End-of-Life Electronic Equipment: The Case of Used Computer Monitors

Managing the growing quantity of used electronic equipment poses challenges for waste management officials. In this paper, we focus on a large component of the electronic waste stream—computer monitors—and the disposal concerns associated with the lead embodied in cathode ray tubes (CRTs) used in most monitors. We develop a policy simulation model of consumers’ disposal options based on the costs of these options and their associated environmental impacts. For the stock of monitors disposed of in the United States in 1998, our preliminary findings suggest that bans on some disposal options would increase disposal costs from about $1 per monitor to between$3 and $20 per monitor. Policies to promote a modest amount of recycling of monitor parts, including lead, can be less expensive. In both cases, the costs of the policies exceed the value of the avoided health effects of CRT disposal.end-of-life electronics, waste stream, cost-benefit analysis